diff --git a/.DS_Store b/.DS_Store index 6dbb8d7..4511293 100644 Binary files a/.DS_Store and b/.DS_Store differ diff --git a/.gitattributes b/.gitattributes deleted file mode 100644 index 4de5faa..0000000 --- a/.gitattributes +++ /dev/null @@ -1,3 +0,0 @@ -*.mp4 filter=lfs diff=lfs merge=lfs -text -*.pth filter=lfs diff=lfs merge=lfs -text -rf-detr-base.pth filter=lfs diff=lfs merge=lfs -text diff --git a/3dshotpose b/3dshotpose new file mode 100644 index 0000000..7da4fab --- /dev/null +++ b/3dshotpose @@ -0,0 +1,5859 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4", + "mount_file_id": "1C9CtNfUqVTlQ6IiWmT7gL13TKrw797P7", + "authorship_tag": "ABX9TyNNXV9okCYKKbWu5uZ2blnf", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "OTtwAw0f9FHF", + "outputId": "0716fc4b-b489-466c-9044-aac301a5ccff" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[Errno 2] No such file or directory: '/content/drive/MyDrive/'\n", + "/content\n", + "Cloning into '3D-Shot-Posture-Dataset'...\n", + "remote: Enumerating objects: 1269, done.\u001b[K\n", + "remote: Counting objects: 100% (208/208), done.\u001b[K\n", + "remote: Compressing objects: 100% (142/142), done.\u001b[K\n", + "remote: Total 1269 (delta 67), reused 195 (delta 56), pack-reused 1061 (from 1)\u001b[K\n", + "Receiving objects: 100% (1269/1269), 156.61 MiB | 24.96 MiB/s, done.\n", + "Resolving deltas: 100% (237/237), done.\n", + "Updating files: 100% (939/939), done.\n", + "/content/3D-Shot-Posture-Dataset\n" + ] + } + ], + "source": [ + "# Go to the directory where you want to clone the repo (e.g., in your Google Drive)\n", + "%cd /content/drive/MyDrive/\n", + "\n", + "# Clone the repository\n", + "!git clone https://github.com/calvinyeungck/3D-Shot-Posture-Dataset.git\n", + "\n", + "# Navigate to the repository\n", + "%cd 3D-Shot-Posture-Dataset\n" + ] + }, + { + "cell_type": "code", + "source": [ + "!unzip /content/3D-Shot-Posture-Dataset/3dsp.zip -d 3dsp/\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "l1YTBQ1q9SZY", + "outputId": "e6b36483-bbd6-49ab-c9d0-a23c4069cea5" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n", + " inflating: 3dsp/3dsp/train/00097/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00097/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00097/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00097/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00097/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00097/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00097/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00097/posture/020.json \n", + " creating: 3dsp/3dsp/train/00097/gt/\n", + " inflating: 3dsp/3dsp/train/00097/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00097/info.ini \n", + " creating: 3dsp/3dsp/train/00098/\n", + " creating: 3dsp/3dsp/train/00098/img/\n", + " inflating: 3dsp/3dsp/train/00098/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00098/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00098/posture/\n", + " inflating: 3dsp/3dsp/train/00098/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00098/posture/020.json \n", + " creating: 3dsp/3dsp/train/00098/gt/\n", + " inflating: 3dsp/3dsp/train/00098/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00098/info.ini \n", + " creating: 3dsp/3dsp/train/00099/\n", + " creating: 3dsp/3dsp/train/00099/img/\n", + " inflating: 3dsp/3dsp/train/00099/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00099/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00099/posture/\n", + " inflating: 3dsp/3dsp/train/00099/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00099/posture/020.json \n", + " creating: 3dsp/3dsp/train/00099/gt/\n", + " inflating: 3dsp/3dsp/train/00099/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00099/info.ini \n", + " creating: 3dsp/3dsp/train/00100/\n", + " creating: 3dsp/3dsp/train/00100/img/\n", + " inflating: 3dsp/3dsp/train/00100/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00100/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00100/posture/\n", + " inflating: 3dsp/3dsp/train/00100/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00100/posture/020.json \n", + " creating: 3dsp/3dsp/train/00100/gt/\n", + " inflating: 3dsp/3dsp/train/00100/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00100/info.ini \n", + " creating: 3dsp/3dsp/train/00101/\n", + " creating: 3dsp/3dsp/train/00101/img/\n", + " inflating: 3dsp/3dsp/train/00101/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00101/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00101/posture/\n", + " inflating: 3dsp/3dsp/train/00101/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00101/posture/020.json \n", + " creating: 3dsp/3dsp/train/00101/gt/\n", + " inflating: 3dsp/3dsp/train/00101/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00101/info.ini \n", + " creating: 3dsp/3dsp/train/00102/\n", + " creating: 3dsp/3dsp/train/00102/img/\n", + " inflating: 3dsp/3dsp/train/00102/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00102/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00102/posture/\n", + " inflating: 3dsp/3dsp/train/00102/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00102/posture/020.json \n", + " creating: 3dsp/3dsp/train/00102/gt/\n", + " inflating: 3dsp/3dsp/train/00102/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00102/info.ini \n", + " creating: 3dsp/3dsp/train/00103/\n", + " creating: 3dsp/3dsp/train/00103/img/\n", + " inflating: 3dsp/3dsp/train/00103/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00103/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00103/posture/\n", + " inflating: 3dsp/3dsp/train/00103/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00103/posture/020.json \n", + " creating: 3dsp/3dsp/train/00103/gt/\n", + " inflating: 3dsp/3dsp/train/00103/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00103/info.ini \n", + " creating: 3dsp/3dsp/train/00104/\n", + " creating: 3dsp/3dsp/train/00104/img/\n", + " inflating: 3dsp/3dsp/train/00104/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00104/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00104/posture/\n", + " inflating: 3dsp/3dsp/train/00104/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00104/posture/020.json \n", + " creating: 3dsp/3dsp/train/00104/gt/\n", + " inflating: 3dsp/3dsp/train/00104/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00104/info.ini \n", + " creating: 3dsp/3dsp/train/00105/\n", + " creating: 3dsp/3dsp/train/00105/img/\n", + " inflating: 3dsp/3dsp/train/00105/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00105/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00105/posture/\n", + " inflating: 3dsp/3dsp/train/00105/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00105/posture/020.json \n", + " creating: 3dsp/3dsp/train/00105/gt/\n", + " inflating: 3dsp/3dsp/train/00105/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00105/info.ini \n", + " creating: 3dsp/3dsp/train/00106/\n", + " creating: 3dsp/3dsp/train/00106/img/\n", + " inflating: 3dsp/3dsp/train/00106/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00106/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00106/posture/\n", + " inflating: 3dsp/3dsp/train/00106/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00106/posture/020.json \n", + " creating: 3dsp/3dsp/train/00106/gt/\n", + " inflating: 3dsp/3dsp/train/00106/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00106/info.ini \n", + " creating: 3dsp/3dsp/train/00107/\n", + " creating: 3dsp/3dsp/train/00107/img/\n", + " inflating: 3dsp/3dsp/train/00107/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00107/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00107/posture/\n", + " inflating: 3dsp/3dsp/train/00107/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00107/posture/020.json \n", + " creating: 3dsp/3dsp/train/00107/gt/\n", + " inflating: 3dsp/3dsp/train/00107/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00107/info.ini \n", + " creating: 3dsp/3dsp/train/00108/\n", + " creating: 3dsp/3dsp/train/00108/img/\n", + " inflating: 3dsp/3dsp/train/00108/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00108/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00108/posture/\n", + " inflating: 3dsp/3dsp/train/00108/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00108/posture/020.json \n", + " creating: 3dsp/3dsp/train/00108/gt/\n", + " inflating: 3dsp/3dsp/train/00108/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00108/info.ini \n", + " creating: 3dsp/3dsp/train/00109/\n", + " creating: 3dsp/3dsp/train/00109/img/\n", + " inflating: 3dsp/3dsp/train/00109/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00109/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00109/posture/\n", + " inflating: 3dsp/3dsp/train/00109/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00109/posture/020.json \n", + " creating: 3dsp/3dsp/train/00109/gt/\n", + " inflating: 3dsp/3dsp/train/00109/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00109/info.ini \n", + " creating: 3dsp/3dsp/train/00110/\n", + " creating: 3dsp/3dsp/train/00110/img/\n", + " inflating: 3dsp/3dsp/train/00110/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00110/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00110/posture/\n", + " inflating: 3dsp/3dsp/train/00110/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00110/posture/020.json \n", + " creating: 3dsp/3dsp/train/00110/gt/\n", + " inflating: 3dsp/3dsp/train/00110/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00110/info.ini \n", + " creating: 3dsp/3dsp/train/00111/\n", + " creating: 3dsp/3dsp/train/00111/img/\n", + " inflating: 3dsp/3dsp/train/00111/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00111/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00111/posture/\n", + " inflating: 3dsp/3dsp/train/00111/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00111/posture/020.json \n", + " creating: 3dsp/3dsp/train/00111/gt/\n", + " inflating: 3dsp/3dsp/train/00111/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00111/info.ini \n", + " creating: 3dsp/3dsp/train/00112/\n", + " creating: 3dsp/3dsp/train/00112/img/\n", + " inflating: 3dsp/3dsp/train/00112/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00112/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00112/posture/\n", + " inflating: 3dsp/3dsp/train/00112/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00112/posture/020.json \n", + " creating: 3dsp/3dsp/train/00112/gt/\n", + " inflating: 3dsp/3dsp/train/00112/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00112/info.ini \n", + " creating: 3dsp/3dsp/train/00113/\n", + " creating: 3dsp/3dsp/train/00113/img/\n", + " inflating: 3dsp/3dsp/train/00113/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00113/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00113/posture/\n", + " inflating: 3dsp/3dsp/train/00113/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00113/posture/020.json \n", + " creating: 3dsp/3dsp/train/00113/gt/\n", + " inflating: 3dsp/3dsp/train/00113/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00113/info.ini \n", + " creating: 3dsp/3dsp/train/00114/\n", + " creating: 3dsp/3dsp/train/00114/img/\n", + " inflating: 3dsp/3dsp/train/00114/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00114/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00114/posture/\n", + " inflating: 3dsp/3dsp/train/00114/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00114/posture/020.json \n", + " creating: 3dsp/3dsp/train/00114/gt/\n", + " inflating: 3dsp/3dsp/train/00114/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00114/info.ini \n", + " creating: 3dsp/3dsp/train/00115/\n", + " creating: 3dsp/3dsp/train/00115/img/\n", + " inflating: 3dsp/3dsp/train/00115/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00115/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00115/posture/\n", + " inflating: 3dsp/3dsp/train/00115/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00115/posture/020.json \n", + " creating: 3dsp/3dsp/train/00115/gt/\n", + " inflating: 3dsp/3dsp/train/00115/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00115/info.ini \n", + " creating: 3dsp/3dsp/train/00116/\n", + " creating: 3dsp/3dsp/train/00116/img/\n", + " inflating: 3dsp/3dsp/train/00116/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00116/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00116/posture/\n", + " inflating: 3dsp/3dsp/train/00116/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00116/posture/020.json \n", + " creating: 3dsp/3dsp/train/00116/gt/\n", + " inflating: 3dsp/3dsp/train/00116/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00116/info.ini \n", + " creating: 3dsp/3dsp/train/00117/\n", + " creating: 3dsp/3dsp/train/00117/img/\n", + " inflating: 3dsp/3dsp/train/00117/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00117/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00117/posture/\n", + " inflating: 3dsp/3dsp/train/00117/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00117/posture/020.json \n", + " creating: 3dsp/3dsp/train/00117/gt/\n", + " inflating: 3dsp/3dsp/train/00117/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00117/info.ini \n", + " creating: 3dsp/3dsp/train/00118/\n", + " creating: 3dsp/3dsp/train/00118/img/\n", + " inflating: 3dsp/3dsp/train/00118/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00118/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00118/posture/\n", + " inflating: 3dsp/3dsp/train/00118/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00118/posture/020.json \n", + " creating: 3dsp/3dsp/train/00118/gt/\n", + " inflating: 3dsp/3dsp/train/00118/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00118/info.ini \n", + " creating: 3dsp/3dsp/train/00119/\n", + " creating: 3dsp/3dsp/train/00119/img/\n", + " inflating: 3dsp/3dsp/train/00119/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00119/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00119/posture/\n", + " inflating: 3dsp/3dsp/train/00119/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00119/posture/020.json \n", + " creating: 3dsp/3dsp/train/00119/gt/\n", + " inflating: 3dsp/3dsp/train/00119/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00119/info.ini \n", + " creating: 3dsp/3dsp/train/00120/\n", + " creating: 3dsp/3dsp/train/00120/img/\n", + " inflating: 3dsp/3dsp/train/00120/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00120/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00120/posture/\n", + " inflating: 3dsp/3dsp/train/00120/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00120/posture/020.json \n", + " creating: 3dsp/3dsp/train/00120/gt/\n", + " inflating: 3dsp/3dsp/train/00120/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00120/info.ini \n", + " creating: 3dsp/3dsp/train/00121/\n", + " creating: 3dsp/3dsp/train/00121/img/\n", + " inflating: 3dsp/3dsp/train/00121/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00121/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00121/posture/\n", + " inflating: 3dsp/3dsp/train/00121/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00121/posture/020.json \n", + " creating: 3dsp/3dsp/train/00121/gt/\n", + " inflating: 3dsp/3dsp/train/00121/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00121/info.ini \n", + " creating: 3dsp/3dsp/train/00122/\n", + " creating: 3dsp/3dsp/train/00122/img/\n", + " inflating: 3dsp/3dsp/train/00122/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00122/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00122/posture/\n", + " inflating: 3dsp/3dsp/train/00122/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00122/posture/020.json \n", + " creating: 3dsp/3dsp/train/00122/gt/\n", + " inflating: 3dsp/3dsp/train/00122/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00122/info.ini \n", + " creating: 3dsp/3dsp/train/00123/\n", + " creating: 3dsp/3dsp/train/00123/img/\n", + " inflating: 3dsp/3dsp/train/00123/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00123/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00123/posture/\n", + " inflating: 3dsp/3dsp/train/00123/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00123/posture/020.json \n", + " creating: 3dsp/3dsp/train/00123/gt/\n", + " inflating: 3dsp/3dsp/train/00123/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00123/info.ini \n", + " creating: 3dsp/3dsp/train/00124/\n", + " creating: 3dsp/3dsp/train/00124/img/\n", + " inflating: 3dsp/3dsp/train/00124/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00124/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00124/posture/\n", + " inflating: 3dsp/3dsp/train/00124/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00124/posture/020.json \n", + " creating: 3dsp/3dsp/train/00124/gt/\n", + " inflating: 3dsp/3dsp/train/00124/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00124/info.ini \n", + " creating: 3dsp/3dsp/train/00125/\n", + " creating: 3dsp/3dsp/train/00125/img/\n", + " inflating: 3dsp/3dsp/train/00125/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00125/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00125/posture/\n", + " inflating: 3dsp/3dsp/train/00125/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00125/posture/020.json \n", + " creating: 3dsp/3dsp/train/00125/gt/\n", + " inflating: 3dsp/3dsp/train/00125/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00125/info.ini \n", + " creating: 3dsp/3dsp/train/00126/\n", + " creating: 3dsp/3dsp/train/00126/img/\n", + " inflating: 3dsp/3dsp/train/00126/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00126/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00126/posture/\n", + " inflating: 3dsp/3dsp/train/00126/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00126/posture/020.json \n", + " creating: 3dsp/3dsp/train/00126/gt/\n", + " inflating: 3dsp/3dsp/train/00126/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00126/info.ini \n", + " creating: 3dsp/3dsp/train/00127/\n", + " creating: 3dsp/3dsp/train/00127/img/\n", + " inflating: 3dsp/3dsp/train/00127/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00127/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00127/posture/\n", + " inflating: 3dsp/3dsp/train/00127/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00127/posture/020.json \n", + " creating: 3dsp/3dsp/train/00127/gt/\n", + " inflating: 3dsp/3dsp/train/00127/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00127/info.ini \n", + " creating: 3dsp/3dsp/train/00128/\n", + " creating: 3dsp/3dsp/train/00128/img/\n", + " inflating: 3dsp/3dsp/train/00128/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00128/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00128/posture/\n", + " inflating: 3dsp/3dsp/train/00128/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00128/posture/020.json \n", + " creating: 3dsp/3dsp/train/00128/gt/\n", + " inflating: 3dsp/3dsp/train/00128/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00128/info.ini \n", + " creating: 3dsp/3dsp/train/00129/\n", + " creating: 3dsp/3dsp/train/00129/img/\n", + " inflating: 3dsp/3dsp/train/00129/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00129/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00129/posture/\n", + " inflating: 3dsp/3dsp/train/00129/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00129/posture/020.json \n", + " creating: 3dsp/3dsp/train/00129/gt/\n", + " inflating: 3dsp/3dsp/train/00129/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00129/info.ini \n", + " creating: 3dsp/3dsp/train/00130/\n", + " creating: 3dsp/3dsp/train/00130/img/\n", + " inflating: 3dsp/3dsp/train/00130/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00130/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00130/posture/\n", + " inflating: 3dsp/3dsp/train/00130/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00130/posture/020.json \n", + " creating: 3dsp/3dsp/train/00130/gt/\n", + " inflating: 3dsp/3dsp/train/00130/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00130/info.ini \n", + " creating: 3dsp/3dsp/train/00131/\n", + " creating: 3dsp/3dsp/train/00131/img/\n", + " inflating: 3dsp/3dsp/train/00131/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00131/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00131/posture/\n", + " inflating: 3dsp/3dsp/train/00131/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00131/posture/020.json \n", + " creating: 3dsp/3dsp/train/00131/gt/\n", + " inflating: 3dsp/3dsp/train/00131/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00131/info.ini \n", + " creating: 3dsp/3dsp/train/00132/\n", + " creating: 3dsp/3dsp/train/00132/img/\n", + " inflating: 3dsp/3dsp/train/00132/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00132/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00132/posture/\n", + " inflating: 3dsp/3dsp/train/00132/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00132/posture/020.json \n", + " creating: 3dsp/3dsp/train/00132/gt/\n", + " inflating: 3dsp/3dsp/train/00132/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00132/info.ini \n", + " creating: 3dsp/3dsp/train/00133/\n", + " creating: 3dsp/3dsp/train/00133/img/\n", + " inflating: 3dsp/3dsp/train/00133/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00133/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00133/posture/\n", + " inflating: 3dsp/3dsp/train/00133/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00133/posture/020.json \n", + " creating: 3dsp/3dsp/train/00133/gt/\n", + " inflating: 3dsp/3dsp/train/00133/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00133/info.ini \n", + " creating: 3dsp/3dsp/train/00134/\n", + " creating: 3dsp/3dsp/train/00134/img/\n", + " inflating: 3dsp/3dsp/train/00134/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00134/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00134/posture/\n", + " inflating: 3dsp/3dsp/train/00134/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00134/posture/020.json \n", + " creating: 3dsp/3dsp/train/00134/gt/\n", + " inflating: 3dsp/3dsp/train/00134/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00134/info.ini \n", + " creating: 3dsp/3dsp/train/00135/\n", + " creating: 3dsp/3dsp/train/00135/img/\n", + " inflating: 3dsp/3dsp/train/00135/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00135/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00135/posture/\n", + " inflating: 3dsp/3dsp/train/00135/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00135/posture/020.json \n", + " creating: 3dsp/3dsp/train/00135/gt/\n", + " inflating: 3dsp/3dsp/train/00135/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00135/info.ini \n", + " creating: 3dsp/3dsp/train/00136/\n", + " creating: 3dsp/3dsp/train/00136/img/\n", + " inflating: 3dsp/3dsp/train/00136/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00136/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00136/posture/\n", + " inflating: 3dsp/3dsp/train/00136/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00136/posture/020.json \n", + " creating: 3dsp/3dsp/train/00136/gt/\n", + " inflating: 3dsp/3dsp/train/00136/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00136/info.ini \n", + " creating: 3dsp/3dsp/train/00137/\n", + " creating: 3dsp/3dsp/train/00137/img/\n", + " inflating: 3dsp/3dsp/train/00137/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00137/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00137/posture/\n", + " inflating: 3dsp/3dsp/train/00137/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00137/posture/020.json \n", + " creating: 3dsp/3dsp/train/00137/gt/\n", + " inflating: 3dsp/3dsp/train/00137/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00137/info.ini \n", + " creating: 3dsp/3dsp/train/00138/\n", + " creating: 3dsp/3dsp/train/00138/img/\n", + " inflating: 3dsp/3dsp/train/00138/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00138/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00138/posture/\n", + " inflating: 3dsp/3dsp/train/00138/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00138/posture/020.json \n", + " creating: 3dsp/3dsp/train/00138/gt/\n", + " inflating: 3dsp/3dsp/train/00138/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00138/info.ini \n", + " creating: 3dsp/3dsp/train/00139/\n", + " creating: 3dsp/3dsp/train/00139/img/\n", + " inflating: 3dsp/3dsp/train/00139/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00139/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00139/posture/\n", + " inflating: 3dsp/3dsp/train/00139/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00139/posture/020.json \n", + " creating: 3dsp/3dsp/train/00139/gt/\n", + " inflating: 3dsp/3dsp/train/00139/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00139/info.ini \n", + " creating: 3dsp/3dsp/train/00140/\n", + " creating: 3dsp/3dsp/train/00140/img/\n", + " inflating: 3dsp/3dsp/train/00140/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00140/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00140/posture/\n", + " inflating: 3dsp/3dsp/train/00140/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00140/posture/020.json \n", + " creating: 3dsp/3dsp/train/00140/gt/\n", + " inflating: 3dsp/3dsp/train/00140/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00140/info.ini \n", + " creating: 3dsp/3dsp/train/00141/\n", + " creating: 3dsp/3dsp/train/00141/img/\n", + " inflating: 3dsp/3dsp/train/00141/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00141/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00141/posture/\n", + " inflating: 3dsp/3dsp/train/00141/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00141/posture/020.json \n", + " creating: 3dsp/3dsp/train/00141/gt/\n", + " inflating: 3dsp/3dsp/train/00141/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00141/info.ini \n", + " creating: 3dsp/3dsp/train/00142/\n", + " creating: 3dsp/3dsp/train/00142/img/\n", + " inflating: 3dsp/3dsp/train/00142/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00142/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00142/posture/\n", + " inflating: 3dsp/3dsp/train/00142/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00142/posture/020.json \n", + " creating: 3dsp/3dsp/train/00142/gt/\n", + " inflating: 3dsp/3dsp/train/00142/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00142/info.ini \n", + " creating: 3dsp/3dsp/train/00143/\n", + " creating: 3dsp/3dsp/train/00143/img/\n", + " inflating: 3dsp/3dsp/train/00143/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00143/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00143/posture/\n", + " inflating: 3dsp/3dsp/train/00143/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00143/posture/020.json \n", + " creating: 3dsp/3dsp/train/00143/gt/\n", + " inflating: 3dsp/3dsp/train/00143/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00143/info.ini \n", + " creating: 3dsp/3dsp/train/00144/\n", + " creating: 3dsp/3dsp/train/00144/img/\n", + " inflating: 3dsp/3dsp/train/00144/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00144/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00144/posture/\n", + " inflating: 3dsp/3dsp/train/00144/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00144/posture/020.json \n", + " creating: 3dsp/3dsp/train/00144/gt/\n", + " inflating: 3dsp/3dsp/train/00144/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00144/info.ini \n", + " creating: 3dsp/3dsp/train/00145/\n", + " creating: 3dsp/3dsp/train/00145/img/\n", + " inflating: 3dsp/3dsp/train/00145/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00145/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00145/posture/\n", + " inflating: 3dsp/3dsp/train/00145/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00145/posture/020.json \n", + " creating: 3dsp/3dsp/train/00145/gt/\n", + " inflating: 3dsp/3dsp/train/00145/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00145/info.ini \n", + " creating: 3dsp/3dsp/train/00146/\n", + " creating: 3dsp/3dsp/train/00146/img/\n", + " inflating: 3dsp/3dsp/train/00146/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00146/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00146/posture/\n", + " inflating: 3dsp/3dsp/train/00146/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00146/posture/020.json \n", + " creating: 3dsp/3dsp/train/00146/gt/\n", + " inflating: 3dsp/3dsp/train/00146/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00146/info.ini \n", + " creating: 3dsp/3dsp/train/00147/\n", + " creating: 3dsp/3dsp/train/00147/img/\n", + " inflating: 3dsp/3dsp/train/00147/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00147/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00147/posture/\n", + " inflating: 3dsp/3dsp/train/00147/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00147/posture/020.json \n", + " creating: 3dsp/3dsp/train/00147/gt/\n", + " inflating: 3dsp/3dsp/train/00147/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00147/info.ini \n", + " creating: 3dsp/3dsp/train/00148/\n", + " creating: 3dsp/3dsp/train/00148/img/\n", + " inflating: 3dsp/3dsp/train/00148/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00148/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00148/posture/\n", + " inflating: 3dsp/3dsp/train/00148/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00148/posture/020.json \n", + " creating: 3dsp/3dsp/train/00148/gt/\n", + " inflating: 3dsp/3dsp/train/00148/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00148/info.ini \n", + " creating: 3dsp/3dsp/train/00149/\n", + " creating: 3dsp/3dsp/train/00149/img/\n", + " inflating: 3dsp/3dsp/train/00149/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00149/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00149/posture/\n", + " inflating: 3dsp/3dsp/train/00149/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00149/posture/020.json \n", + " creating: 3dsp/3dsp/train/00149/gt/\n", + " inflating: 3dsp/3dsp/train/00149/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00149/info.ini \n", + " creating: 3dsp/3dsp/train/00150/\n", + " creating: 3dsp/3dsp/train/00150/img/\n", + " inflating: 3dsp/3dsp/train/00150/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00150/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00150/posture/\n", + " inflating: 3dsp/3dsp/train/00150/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00150/posture/020.json \n", + " creating: 3dsp/3dsp/train/00150/gt/\n", + " inflating: 3dsp/3dsp/train/00150/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00150/info.ini \n", + " creating: 3dsp/3dsp/train/00151/\n", + " creating: 3dsp/3dsp/train/00151/img/\n", + " inflating: 3dsp/3dsp/train/00151/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00151/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00151/posture/\n", + " inflating: 3dsp/3dsp/train/00151/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00151/posture/020.json \n", + " creating: 3dsp/3dsp/train/00151/gt/\n", + " inflating: 3dsp/3dsp/train/00151/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00151/info.ini \n", + " creating: 3dsp/3dsp/train/00152/\n", + " creating: 3dsp/3dsp/train/00152/img/\n", + " inflating: 3dsp/3dsp/train/00152/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00152/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00152/posture/\n", + " inflating: 3dsp/3dsp/train/00152/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00152/posture/020.json \n", + " creating: 3dsp/3dsp/train/00152/gt/\n", + " inflating: 3dsp/3dsp/train/00152/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00152/info.ini \n", + " creating: 3dsp/3dsp/train/00153/\n", + " creating: 3dsp/3dsp/train/00153/img/\n", + " inflating: 3dsp/3dsp/train/00153/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00153/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00153/posture/\n", + " inflating: 3dsp/3dsp/train/00153/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00153/posture/020.json \n", + " creating: 3dsp/3dsp/train/00153/gt/\n", + " inflating: 3dsp/3dsp/train/00153/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00153/info.ini \n", + " creating: 3dsp/3dsp/train/00154/\n", + " creating: 3dsp/3dsp/train/00154/img/\n", + " inflating: 3dsp/3dsp/train/00154/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00154/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00154/posture/\n", + " inflating: 3dsp/3dsp/train/00154/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00154/posture/020.json \n", + " creating: 3dsp/3dsp/train/00154/gt/\n", + " inflating: 3dsp/3dsp/train/00154/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00154/info.ini \n", + " creating: 3dsp/3dsp/train/00155/\n", + " creating: 3dsp/3dsp/train/00155/img/\n", + " inflating: 3dsp/3dsp/train/00155/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00155/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00155/posture/\n", + " inflating: 3dsp/3dsp/train/00155/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00155/posture/020.json \n", + " creating: 3dsp/3dsp/train/00155/gt/\n", + " inflating: 3dsp/3dsp/train/00155/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00155/info.ini \n", + " creating: 3dsp/3dsp/train/00156/\n", + " creating: 3dsp/3dsp/train/00156/img/\n", + " inflating: 3dsp/3dsp/train/00156/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00156/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00156/posture/\n", + " inflating: 3dsp/3dsp/train/00156/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00156/posture/020.json \n", + " creating: 3dsp/3dsp/train/00156/gt/\n", + " inflating: 3dsp/3dsp/train/00156/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00156/info.ini \n", + " creating: 3dsp/3dsp/train/00157/\n", + " creating: 3dsp/3dsp/train/00157/img/\n", + " inflating: 3dsp/3dsp/train/00157/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00157/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00157/posture/\n", + " inflating: 3dsp/3dsp/train/00157/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00157/posture/020.json \n", + " creating: 3dsp/3dsp/train/00157/gt/\n", + " inflating: 3dsp/3dsp/train/00157/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00157/info.ini \n", + " creating: 3dsp/3dsp/train/00158/\n", + " creating: 3dsp/3dsp/train/00158/img/\n", + " inflating: 3dsp/3dsp/train/00158/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00158/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00158/posture/\n", + " inflating: 3dsp/3dsp/train/00158/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00158/posture/020.json \n", + " creating: 3dsp/3dsp/train/00158/gt/\n", + " inflating: 3dsp/3dsp/train/00158/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00158/info.ini \n", + " creating: 3dsp/3dsp/train/00159/\n", + " creating: 3dsp/3dsp/train/00159/img/\n", + " inflating: 3dsp/3dsp/train/00159/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00159/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00159/posture/\n", + " inflating: 3dsp/3dsp/train/00159/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00159/posture/020.json \n", + " creating: 3dsp/3dsp/train/00159/gt/\n", + " inflating: 3dsp/3dsp/train/00159/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00159/info.ini \n", + " creating: 3dsp/3dsp/train/00160/\n", + " creating: 3dsp/3dsp/train/00160/img/\n", + " inflating: 3dsp/3dsp/train/00160/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00160/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00160/posture/\n", + " inflating: 3dsp/3dsp/train/00160/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00160/posture/020.json \n", + " creating: 3dsp/3dsp/train/00160/gt/\n", + " inflating: 3dsp/3dsp/train/00160/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00160/info.ini \n", + " creating: 3dsp/3dsp/train/00161/\n", + " creating: 3dsp/3dsp/train/00161/img/\n", + " inflating: 3dsp/3dsp/train/00161/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00161/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00161/posture/\n", + " inflating: 3dsp/3dsp/train/00161/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00161/posture/020.json \n", + " creating: 3dsp/3dsp/train/00161/gt/\n", + " inflating: 3dsp/3dsp/train/00161/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00161/info.ini \n", + " creating: 3dsp/3dsp/train/00162/\n", + " creating: 3dsp/3dsp/train/00162/img/\n", + " inflating: 3dsp/3dsp/train/00162/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00162/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00162/posture/\n", + " inflating: 3dsp/3dsp/train/00162/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00162/posture/020.json \n", + " creating: 3dsp/3dsp/train/00162/gt/\n", + " inflating: 3dsp/3dsp/train/00162/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00162/info.ini \n", + " creating: 3dsp/3dsp/train/00163/\n", + " creating: 3dsp/3dsp/train/00163/img/\n", + " inflating: 3dsp/3dsp/train/00163/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00163/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00163/posture/\n", + " inflating: 3dsp/3dsp/train/00163/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00163/posture/020.json \n", + " creating: 3dsp/3dsp/train/00163/gt/\n", + " inflating: 3dsp/3dsp/train/00163/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00163/info.ini \n", + " creating: 3dsp/3dsp/train/00164/\n", + " creating: 3dsp/3dsp/train/00164/img/\n", + " inflating: 3dsp/3dsp/train/00164/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00164/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00164/posture/\n", + " inflating: 3dsp/3dsp/train/00164/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00164/posture/020.json \n", + " creating: 3dsp/3dsp/train/00164/gt/\n", + " inflating: 3dsp/3dsp/train/00164/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00164/info.ini \n", + " creating: 3dsp/3dsp/train/00165/\n", + " creating: 3dsp/3dsp/train/00165/img/\n", + " inflating: 3dsp/3dsp/train/00165/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00165/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00165/posture/\n", + " inflating: 3dsp/3dsp/train/00165/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00165/posture/020.json \n", + " creating: 3dsp/3dsp/train/00165/gt/\n", + " inflating: 3dsp/3dsp/train/00165/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00165/info.ini \n", + " creating: 3dsp/3dsp/train/00166/\n", + " creating: 3dsp/3dsp/train/00166/img/\n", + " inflating: 3dsp/3dsp/train/00166/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00166/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00166/posture/\n", + " inflating: 3dsp/3dsp/train/00166/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00166/posture/020.json \n", + " creating: 3dsp/3dsp/train/00166/gt/\n", + " inflating: 3dsp/3dsp/train/00166/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00166/info.ini \n", + " creating: 3dsp/3dsp/train/00167/\n", + " creating: 3dsp/3dsp/train/00167/img/\n", + " inflating: 3dsp/3dsp/train/00167/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00167/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00167/posture/\n", + " inflating: 3dsp/3dsp/train/00167/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00167/posture/020.json \n", + " creating: 3dsp/3dsp/train/00167/gt/\n", + " inflating: 3dsp/3dsp/train/00167/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00167/info.ini \n", + " creating: 3dsp/3dsp/train/00168/\n", + " creating: 3dsp/3dsp/train/00168/img/\n", + " inflating: 3dsp/3dsp/train/00168/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00168/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00168/posture/\n", + " inflating: 3dsp/3dsp/train/00168/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00168/posture/020.json \n", + " creating: 3dsp/3dsp/train/00168/gt/\n", + " inflating: 3dsp/3dsp/train/00168/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00168/info.ini \n", + " creating: 3dsp/3dsp/train/00169/\n", + " creating: 3dsp/3dsp/train/00169/img/\n", + " inflating: 3dsp/3dsp/train/00169/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00169/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00169/posture/\n", + " inflating: 3dsp/3dsp/train/00169/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00169/posture/020.json \n", + " creating: 3dsp/3dsp/train/00169/gt/\n", + " inflating: 3dsp/3dsp/train/00169/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00169/info.ini \n", + " creating: 3dsp/3dsp/train/00170/\n", + " creating: 3dsp/3dsp/train/00170/img/\n", + " inflating: 3dsp/3dsp/train/00170/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00170/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00170/posture/\n", + " inflating: 3dsp/3dsp/train/00170/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00170/posture/020.json \n", + " creating: 3dsp/3dsp/train/00170/gt/\n", + " inflating: 3dsp/3dsp/train/00170/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00170/info.ini \n", + " creating: 3dsp/3dsp/train/00171/\n", + " creating: 3dsp/3dsp/train/00171/img/\n", + " inflating: 3dsp/3dsp/train/00171/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00171/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00171/posture/\n", + " inflating: 3dsp/3dsp/train/00171/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00171/posture/020.json \n", + " creating: 3dsp/3dsp/train/00171/gt/\n", + " inflating: 3dsp/3dsp/train/00171/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00171/info.ini \n", + " creating: 3dsp/3dsp/train/00172/\n", + " creating: 3dsp/3dsp/train/00172/img/\n", + " inflating: 3dsp/3dsp/train/00172/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00172/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00172/posture/\n", + " inflating: 3dsp/3dsp/train/00172/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00172/posture/020.json \n", + " creating: 3dsp/3dsp/train/00172/gt/\n", + " inflating: 3dsp/3dsp/train/00172/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00172/info.ini \n", + " creating: 3dsp/3dsp/train/00173/\n", + " creating: 3dsp/3dsp/train/00173/img/\n", + " inflating: 3dsp/3dsp/train/00173/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00173/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00173/posture/\n", + " inflating: 3dsp/3dsp/train/00173/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00173/posture/020.json \n", + " creating: 3dsp/3dsp/train/00173/gt/\n", + " inflating: 3dsp/3dsp/train/00173/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00173/info.ini \n", + " creating: 3dsp/3dsp/train/00174/\n", + " creating: 3dsp/3dsp/train/00174/img/\n", + " inflating: 3dsp/3dsp/train/00174/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00174/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00174/posture/\n", + " inflating: 3dsp/3dsp/train/00174/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00174/posture/020.json \n", + " creating: 3dsp/3dsp/train/00174/gt/\n", + " inflating: 3dsp/3dsp/train/00174/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00174/info.ini \n", + " creating: 3dsp/3dsp/train/00175/\n", + " creating: 3dsp/3dsp/train/00175/img/\n", + " inflating: 3dsp/3dsp/train/00175/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00175/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00175/posture/\n", + " inflating: 3dsp/3dsp/train/00175/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00175/posture/020.json \n", + " creating: 3dsp/3dsp/train/00175/gt/\n", + " inflating: 3dsp/3dsp/train/00175/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00175/info.ini \n", + " creating: 3dsp/3dsp/train/00176/\n", + " creating: 3dsp/3dsp/train/00176/img/\n", + " inflating: 3dsp/3dsp/train/00176/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00176/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00176/posture/\n", + " inflating: 3dsp/3dsp/train/00176/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00176/posture/020.json \n", + " creating: 3dsp/3dsp/train/00176/gt/\n", + " inflating: 3dsp/3dsp/train/00176/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00176/info.ini \n", + " creating: 3dsp/3dsp/train/00177/\n", + " creating: 3dsp/3dsp/train/00177/img/\n", + " inflating: 3dsp/3dsp/train/00177/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00177/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00177/posture/\n", + " inflating: 3dsp/3dsp/train/00177/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00177/posture/020.json \n", + " creating: 3dsp/3dsp/train/00177/gt/\n", + " inflating: 3dsp/3dsp/train/00177/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00177/info.ini \n", + " creating: 3dsp/3dsp/train/00178/\n", + " creating: 3dsp/3dsp/train/00178/img/\n", + " inflating: 3dsp/3dsp/train/00178/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00178/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00178/posture/\n", + " inflating: 3dsp/3dsp/train/00178/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00178/posture/020.json \n", + " creating: 3dsp/3dsp/train/00178/gt/\n", + " inflating: 3dsp/3dsp/train/00178/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00178/info.ini \n", + " creating: 3dsp/3dsp/train/00179/\n", + " creating: 3dsp/3dsp/train/00179/img/\n", + " inflating: 3dsp/3dsp/train/00179/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00179/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00179/posture/\n", + " inflating: 3dsp/3dsp/train/00179/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00179/posture/020.json \n", + " creating: 3dsp/3dsp/train/00179/gt/\n", + " inflating: 3dsp/3dsp/train/00179/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00179/info.ini \n", + " creating: 3dsp/3dsp/train/00180/\n", + " creating: 3dsp/3dsp/train/00180/img/\n", + " inflating: 3dsp/3dsp/train/00180/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00180/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00180/posture/\n", + " inflating: 3dsp/3dsp/train/00180/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00180/posture/020.json \n", + " creating: 3dsp/3dsp/train/00180/gt/\n", + " inflating: 3dsp/3dsp/train/00180/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00180/info.ini \n", + " creating: 3dsp/3dsp/train/00181/\n", + " creating: 3dsp/3dsp/train/00181/img/\n", + " inflating: 3dsp/3dsp/train/00181/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00181/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00181/posture/\n", + " inflating: 3dsp/3dsp/train/00181/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00181/posture/020.json \n", + " creating: 3dsp/3dsp/train/00181/gt/\n", + " inflating: 3dsp/3dsp/train/00181/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00181/info.ini \n", + " creating: 3dsp/3dsp/train/00182/\n", + " creating: 3dsp/3dsp/train/00182/img/\n", + " inflating: 3dsp/3dsp/train/00182/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00182/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00182/posture/\n", + " inflating: 3dsp/3dsp/train/00182/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00182/posture/020.json \n", + " creating: 3dsp/3dsp/train/00182/gt/\n", + " inflating: 3dsp/3dsp/train/00182/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00182/info.ini \n", + " creating: 3dsp/3dsp/train/00183/\n", + " creating: 3dsp/3dsp/train/00183/img/\n", + " inflating: 3dsp/3dsp/train/00183/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00183/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00183/posture/\n", + " inflating: 3dsp/3dsp/train/00183/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00183/posture/020.json \n", + " creating: 3dsp/3dsp/train/00183/gt/\n", + " inflating: 3dsp/3dsp/train/00183/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00183/info.ini \n", + " creating: 3dsp/3dsp/train/00184/\n", + " creating: 3dsp/3dsp/train/00184/img/\n", + " inflating: 3dsp/3dsp/train/00184/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00184/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00184/posture/\n", + " inflating: 3dsp/3dsp/train/00184/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00184/posture/020.json \n", + " creating: 3dsp/3dsp/train/00184/gt/\n", + " inflating: 3dsp/3dsp/train/00184/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00184/info.ini \n", + " creating: 3dsp/3dsp/train/00185/\n", + " creating: 3dsp/3dsp/train/00185/img/\n", + " inflating: 3dsp/3dsp/train/00185/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00185/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00185/posture/\n", + " inflating: 3dsp/3dsp/train/00185/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00185/posture/020.json \n", + " creating: 3dsp/3dsp/train/00185/gt/\n", + " inflating: 3dsp/3dsp/train/00185/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00185/info.ini \n", + " creating: 3dsp/3dsp/train/00186/\n", + " creating: 3dsp/3dsp/train/00186/img/\n", + " inflating: 3dsp/3dsp/train/00186/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00186/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00186/posture/\n", + " inflating: 3dsp/3dsp/train/00186/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00186/posture/020.json \n", + " creating: 3dsp/3dsp/train/00186/gt/\n", + " inflating: 3dsp/3dsp/train/00186/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00186/info.ini \n", + " creating: 3dsp/3dsp/train/00187/\n", + " creating: 3dsp/3dsp/train/00187/img/\n", + " inflating: 3dsp/3dsp/train/00187/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00187/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00187/posture/\n", + " inflating: 3dsp/3dsp/train/00187/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00187/posture/020.json \n", + " creating: 3dsp/3dsp/train/00187/gt/\n", + " inflating: 3dsp/3dsp/train/00187/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00187/info.ini \n", + " creating: 3dsp/3dsp/train/00188/\n", + " creating: 3dsp/3dsp/train/00188/img/\n", + " inflating: 3dsp/3dsp/train/00188/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00188/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00188/posture/\n", + " inflating: 3dsp/3dsp/train/00188/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00188/posture/020.json \n", + " creating: 3dsp/3dsp/train/00188/gt/\n", + " inflating: 3dsp/3dsp/train/00188/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00188/info.ini \n", + " creating: 3dsp/3dsp/train/00189/\n", + " creating: 3dsp/3dsp/train/00189/img/\n", + " inflating: 3dsp/3dsp/train/00189/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00189/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00189/posture/\n", + " inflating: 3dsp/3dsp/train/00189/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00189/posture/020.json \n", + " creating: 3dsp/3dsp/train/00189/gt/\n", + " inflating: 3dsp/3dsp/train/00189/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00189/info.ini \n", + " creating: 3dsp/3dsp/train/00190/\n", + " creating: 3dsp/3dsp/train/00190/img/\n", + " inflating: 3dsp/3dsp/train/00190/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00190/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00190/posture/\n", + " inflating: 3dsp/3dsp/train/00190/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00190/posture/020.json \n", + " creating: 3dsp/3dsp/train/00190/gt/\n", + " inflating: 3dsp/3dsp/train/00190/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00190/info.ini \n", + " creating: 3dsp/3dsp/train/00191/\n", + " creating: 3dsp/3dsp/train/00191/img/\n", + " inflating: 3dsp/3dsp/train/00191/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00191/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00191/posture/\n", + " inflating: 3dsp/3dsp/train/00191/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00191/posture/020.json \n", + " creating: 3dsp/3dsp/train/00191/gt/\n", + " inflating: 3dsp/3dsp/train/00191/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00191/info.ini \n", + " creating: 3dsp/3dsp/train/00192/\n", + " creating: 3dsp/3dsp/train/00192/img/\n", + " inflating: 3dsp/3dsp/train/00192/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00192/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00192/posture/\n", + " inflating: 3dsp/3dsp/train/00192/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00192/posture/020.json \n", + " creating: 3dsp/3dsp/train/00192/gt/\n", + " inflating: 3dsp/3dsp/train/00192/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00192/info.ini \n", + " creating: 3dsp/3dsp/train/00193/\n", + " creating: 3dsp/3dsp/train/00193/img/\n", + " inflating: 3dsp/3dsp/train/00193/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00193/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00193/posture/\n", + " inflating: 3dsp/3dsp/train/00193/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00193/posture/020.json \n", + " creating: 3dsp/3dsp/train/00193/gt/\n", + " inflating: 3dsp/3dsp/train/00193/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00193/info.ini \n", + " creating: 3dsp/3dsp/train/00194/\n", + " creating: 3dsp/3dsp/train/00194/img/\n", + " inflating: 3dsp/3dsp/train/00194/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00194/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00194/posture/\n", + " inflating: 3dsp/3dsp/train/00194/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00194/posture/020.json \n", + " creating: 3dsp/3dsp/train/00194/gt/\n", + " inflating: 3dsp/3dsp/train/00194/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00194/info.ini \n", + " creating: 3dsp/3dsp/train/00195/\n", + " creating: 3dsp/3dsp/train/00195/img/\n", + " inflating: 3dsp/3dsp/train/00195/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00195/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00195/posture/\n", + " inflating: 3dsp/3dsp/train/00195/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00195/posture/020.json \n", + " creating: 3dsp/3dsp/train/00195/gt/\n", + " inflating: 3dsp/3dsp/train/00195/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00195/info.ini \n", + " creating: 3dsp/3dsp/train/00196/\n", + " creating: 3dsp/3dsp/train/00196/img/\n", + " inflating: 3dsp/3dsp/train/00196/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00196/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00196/posture/\n", + " inflating: 3dsp/3dsp/train/00196/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00196/posture/020.json \n", + " creating: 3dsp/3dsp/train/00196/gt/\n", + " inflating: 3dsp/3dsp/train/00196/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00196/info.ini \n", + " creating: 3dsp/3dsp/train/00197/\n", + " creating: 3dsp/3dsp/train/00197/img/\n", + " inflating: 3dsp/3dsp/train/00197/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00197/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00197/posture/\n", + " inflating: 3dsp/3dsp/train/00197/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00197/posture/020.json \n", + " creating: 3dsp/3dsp/train/00197/gt/\n", + " inflating: 3dsp/3dsp/train/00197/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00197/info.ini \n", + " creating: 3dsp/3dsp/train/00198/\n", + " creating: 3dsp/3dsp/train/00198/img/\n", + " inflating: 3dsp/3dsp/train/00198/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00198/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00198/posture/\n", + " inflating: 3dsp/3dsp/train/00198/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00198/posture/020.json \n", + " creating: 3dsp/3dsp/train/00198/gt/\n", + " inflating: 3dsp/3dsp/train/00198/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00198/info.ini \n", + " creating: 3dsp/3dsp/train/00199/\n", + " creating: 3dsp/3dsp/train/00199/img/\n", + " inflating: 3dsp/3dsp/train/00199/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00199/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00199/posture/\n", + " inflating: 3dsp/3dsp/train/00199/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00199/posture/020.json \n", + " creating: 3dsp/3dsp/train/00199/gt/\n", + " inflating: 3dsp/3dsp/train/00199/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00199/info.ini \n", + " creating: 3dsp/3dsp/train/00200/\n", + " creating: 3dsp/3dsp/train/00200/img/\n", + " inflating: 3dsp/3dsp/train/00200/img/001.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/010.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/012.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/014.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/011.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/013.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/015.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/018.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/016.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/017.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/002.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/005.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/003.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/007.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/004.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/008.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/019.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/020.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/006.jpg \n", + " inflating: 3dsp/3dsp/train/00200/img/009.jpg \n", + " creating: 3dsp/3dsp/train/00200/posture/\n", + " inflating: 3dsp/3dsp/train/00200/posture/001.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/002.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/003.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/004.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/005.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/006.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/007.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/008.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/009.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/010.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/011.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/012.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/013.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/014.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/015.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/016.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/017.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/018.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/019.json \n", + " inflating: 3dsp/3dsp/train/00200/posture/020.json \n", + " creating: 3dsp/3dsp/train/00200/gt/\n", + " inflating: 3dsp/3dsp/train/00200/gt/gt.txt \n", + " inflating: 3dsp/3dsp/train/00200/info.ini \n", + " creating: 3dsp/3dsp/test/\n", + " creating: 3dsp/3dsp/test/00001/\n", + " creating: 3dsp/3dsp/test/00001/img/\n", + " inflating: 3dsp/3dsp/test/00001/img/001.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/002.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/003.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/004.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/005.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/006.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/007.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/008.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/009.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/010.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/011.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/012.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/013.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/014.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/015.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/016.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/017.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/018.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/019.jpg \n", + " inflating: 3dsp/3dsp/test/00001/img/020.jpg \n", + " creating: 3dsp/3dsp/test/00001/gt/\n", + " inflating: 3dsp/3dsp/test/00001/gt/gt.txt \n", + " inflating: 3dsp/3dsp/test/00001/info.ini \n", + " creating: 3dsp/3dsp/test/00002/\n", + " creating: 3dsp/3dsp/test/00002/img/\n", + " inflating: 3dsp/3dsp/test/00002/img/001.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/002.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/003.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/004.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/005.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/006.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/007.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/008.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/009.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/010.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/011.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/012.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/013.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/014.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/015.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/016.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/017.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/018.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/019.jpg \n", + " inflating: 3dsp/3dsp/test/00002/img/020.jpg \n", + " creating: 3dsp/3dsp/test/00002/gt/\n", + " inflating: 3dsp/3dsp/test/00002/gt/gt.txt \n", + " inflating: 3dsp/3dsp/test/00002/info.ini \n", + " creating: 3dsp/3dsp/test/00003/\n", + " creating: 3dsp/3dsp/test/00003/img/\n", + " inflating: 3dsp/3dsp/test/00003/img/001.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/002.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/003.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/004.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/005.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/006.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/007.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/008.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/009.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/010.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/011.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/012.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/013.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/014.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/015.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/016.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/017.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/018.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/019.jpg \n", + " inflating: 3dsp/3dsp/test/00003/img/020.jpg \n", + " creating: 3dsp/3dsp/test/00003/gt/\n", + " inflating: 3dsp/3dsp/test/00003/gt/gt.txt \n", + " inflating: 3dsp/3dsp/test/00003/info.ini \n", + " creating: 3dsp/3dsp/test/00004/\n", + " creating: 3dsp/3dsp/test/00004/img/\n", + " inflating: 3dsp/3dsp/test/00004/img/001.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/002.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/003.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/004.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/005.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/006.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/007.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/008.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/009.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/010.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/011.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/012.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/013.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/014.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/015.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/016.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/017.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/018.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/019.jpg \n", + " inflating: 3dsp/3dsp/test/00004/img/020.jpg \n", + " creating: 3dsp/3dsp/test/00004/gt/\n", + " inflating: 3dsp/3dsp/test/00004/gt/gt.txt \n", + " inflating: 3dsp/3dsp/test/00004/info.ini \n", + " creating: 3dsp/3dsp/test/00005/\n", + " creating: 3dsp/3dsp/test/00005/img/\n", + " inflating: 3dsp/3dsp/test/00005/img/001.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/002.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/003.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/004.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/005.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/006.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/007.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/008.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/009.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/010.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/011.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/012.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/013.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/014.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/015.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/016.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/017.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/018.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/019.jpg \n", + " inflating: 3dsp/3dsp/test/00005/img/020.jpg \n", + " creating: 3dsp/3dsp/test/00005/gt/\n", + " inflating: 3dsp/3dsp/test/00005/gt/gt.txt \n", + " inflating: 3dsp/3dsp/test/00005/info.ini \n", + " creating: 3dsp/3dsp/test/00006/\n", + " creating: 3dsp/3dsp/test/00006/img/\n", + " inflating: 3dsp/3dsp/test/00006/img/001.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/002.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/003.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/004.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/005.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/006.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/007.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/008.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/009.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/010.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/011.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/012.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/013.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/014.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/015.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/016.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/017.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/018.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/019.jpg \n", + " inflating: 3dsp/3dsp/test/00006/img/020.jpg \n", + " creating: 3dsp/3dsp/test/00006/gt/\n", + " inflating: 3dsp/3dsp/test/00006/gt/gt.txt \n", + " inflating: 3dsp/3dsp/test/00006/info.ini \n", + " creating: 3dsp/3dsp/test/00007/\n", + " creating: 3dsp/3dsp/test/00007/img/\n", + " inflating: 3dsp/3dsp/test/00007/img/001.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/002.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/003.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/004.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/005.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/006.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/007.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/008.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/009.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/010.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/011.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/012.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/013.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/014.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/015.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/016.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/017.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/018.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/019.jpg \n", + " inflating: 3dsp/3dsp/test/00007/img/020.jpg \n", + " creating: 3dsp/3dsp/test/00007/gt/\n", + " inflating: 3dsp/3dsp/test/00007/gt/gt.txt \n", + " inflating: 3dsp/3dsp/test/00007/info.ini \n", + " creating: 3dsp/3dsp/test/00008/\n", + " creating: 3dsp/3dsp/test/00008/img/\n", + " inflating: 3dsp/3dsp/test/00008/img/001.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/002.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/003.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/004.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/005.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/006.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/007.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/008.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/009.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/010.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/011.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/012.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/013.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/014.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/015.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/016.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/017.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/018.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/019.jpg \n", + " inflating: 3dsp/3dsp/test/00008/img/020.jpg \n", + " creating: 3dsp/3dsp/test/00008/gt/\n", + " inflating: 3dsp/3dsp/test/00008/gt/gt.txt \n", + " inflating: 3dsp/3dsp/test/00008/info.ini \n", + " creating: 3dsp/3dsp/test/00009/\n", + " creating: 3dsp/3dsp/test/00009/img/\n", + " inflating: 3dsp/3dsp/test/00009/img/001.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/002.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/003.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/004.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/005.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/006.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/007.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/008.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/009.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/010.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/011.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/012.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/013.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/014.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/015.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/016.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/017.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/018.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/019.jpg \n", + " inflating: 3dsp/3dsp/test/00009/img/020.jpg \n", + " creating: 3dsp/3dsp/test/00009/gt/\n", + " inflating: 3dsp/3dsp/test/00009/gt/gt.txt \n", + " inflating: 3dsp/3dsp/test/00009/info.ini \n", + " creating: 3dsp/3dsp/test/00010/\n", + " creating: 3dsp/3dsp/test/00010/img/\n", + " inflating: 3dsp/3dsp/test/00010/img/001.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/002.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/003.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/004.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/005.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/006.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/007.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/008.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/009.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/010.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/011.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/012.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/013.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/014.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/015.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/016.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/017.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/018.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/019.jpg \n", + " inflating: 3dsp/3dsp/test/00010/img/020.jpg \n", + " creating: 3dsp/3dsp/test/00010/gt/\n", + " inflating: 3dsp/3dsp/test/00010/gt/gt.txt \n", + " inflating: 3dsp/3dsp/test/00010/info.ini \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install -r /content/3D-Shot-Posture-Dataset/requirements.txt\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6xJoDfPr9gE4", + "outputId": "6f35056e-4cfc-491d-89dc-be4b649299de" + }, + "execution_count": 27, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 51))\n", + " Cloning https://github.com/cocodataset/cocoapi.git to /tmp/pip-req-build-3w09baly\n", + " Running command git clone --filter=blob:none --quiet https://github.com/cocodataset/cocoapi.git /tmp/pip-req-build-3w09baly\n", + " Resolved https://github.com/cocodataset/cocoapi.git to commit 8c9bcc3cf640524c4c20a9c40e89cb6a2f2fa0e9\n", + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 1)) (4.66.5)\n", + "Requirement already satisfied: easydict in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 2)) (1.13)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 3)) (1.26.4)\n", + "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (2.4.1+cu121)\n", + "Requirement already satisfied: timm in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 5)) (1.0.11)\n", + "Requirement already satisfied: PyYAML in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 6)) (6.0.2)\n", + "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (3.7.1)\n", + "Requirement already satisfied: wandb in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (0.18.5)\n", + "Collecting torchprofile (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 9))\n", + " Using cached torchprofile-0.0.4-py3-none-any.whl.metadata (303 bytes)\n", + "Collecting smplx (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 10))\n", + " Using cached smplx-0.1.28-py3-none-any.whl.metadata (10 kB)\n", + "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 11)) (1.13.1)\n", + "Requirement already satisfied: opencv-python in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 12)) (4.10.0.84)\n", + "Requirement already satisfied: numba in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 13)) (0.60.0)\n", + "Requirement already satisfied: scikit-image in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 14)) (0.24.0)\n", + "Collecting filterpy (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 15))\n", + " Using cached filterpy-1.4.5-py3-none-any.whl\n", + "Collecting yacs (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 16))\n", + " Using cached yacs-0.1.8-py3-none-any.whl.metadata (639 bytes)\n", + "Requirement already satisfied: loguru in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 19)) (0.7.2)\n", + "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 21)) (1.5.2)\n", + "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 23)) (0.19.1+cu121)\n", + "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 24)) (10.4.0)\n", + "Collecting thop (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 25))\n", + " Using cached thop-0.1.1.post2209072238-py3-none-any.whl.metadata (2.7 kB)\n", + "Collecting ninja (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 26))\n", + " Using cached ninja-1.11.1.1-py2.py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl.metadata (5.3 kB)\n", + "Requirement already satisfied: tabulate in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 27)) (0.9.0)\n", + "Requirement already satisfied: tensorboard in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (2.17.0)\n", + "Requirement already satisfied: lapx in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 29)) (0.5.11)\n", + "Collecting motmetrics (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 30))\n", + " Using cached motmetrics-1.4.0-py3-none-any.whl.metadata (20 kB)\n", + "Requirement already satisfied: h5py in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 32)) (3.11.0)\n", + "Requirement already satisfied: prettytable in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 35)) (3.11.0)\n", + "Requirement already satisfied: termcolor in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 40)) (2.5.0)\n", + "Requirement already satisfied: gdown in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 41)) (5.2.0)\n", + "Collecting onnx (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 42))\n", + " Using cached onnx-1.17.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (16 kB)\n", + "Collecting onnxruntime (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 43))\n", + " Using cached onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (4.5 kB)\n", + "Collecting onnx-simplifier (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 44))\n", + " Using cached onnx_simplifier-0.4.36-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.3 kB)\n", + "Requirement already satisfied: opencv-contrib-python in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 47)) (4.10.0.84)\n", + "Requirement already satisfied: cython in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 50)) (3.0.11)\n", + "Collecting cython_bbox (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 52))\n", + " Using cached cython_bbox-0.1.5-cp310-cp310-linux_x86_64.whl\n", + "Collecting faiss-cpu (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 53))\n", + " Using cached faiss_cpu-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.4 kB)\n", + "Collecting faiss-gpu (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 54))\n", + " Using cached faiss_gpu-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.4 kB)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (3.16.1)\n", + "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (4.12.2)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (1.13.3)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (3.4.1)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (3.1.4)\n", + "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (2024.6.1)\n", + "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (from timm->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 5)) (0.24.7)\n", + "Requirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (from timm->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 5)) (0.4.5)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (1.3.0)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (4.54.1)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (1.4.7)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (24.1)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (3.2.0)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (2.8.2)\n", + "Requirement already satisfied: click!=8.0.0,>=7.1 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (8.1.7)\n", + "Requirement already satisfied: docker-pycreds>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (0.4.0)\n", + "Requirement already satisfied: gitpython!=3.1.29,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (3.1.43)\n", + "Requirement already satisfied: platformdirs in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (4.3.6)\n", + "Requirement already satisfied: protobuf!=4.21.0,!=5.28.0,<6,>=3.19.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (3.20.3)\n", + "Requirement already satisfied: psutil>=5.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (5.9.5)\n", + "Requirement already satisfied: requests<3,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (2.32.3)\n", + "Requirement already satisfied: sentry-sdk>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (2.17.0)\n", + "Requirement already satisfied: setproctitle in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (1.3.3)\n", + "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (75.1.0)\n", + "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 13)) (0.43.0)\n", + "Requirement already satisfied: imageio>=2.33 in /usr/local/lib/python3.10/dist-packages (from scikit-image->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 14)) (2.35.1)\n", + "Requirement already satisfied: tifffile>=2022.8.12 in /usr/local/lib/python3.10/dist-packages (from scikit-image->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 14)) (2024.9.20)\n", + "Requirement already satisfied: lazy-loader>=0.4 in /usr/local/lib/python3.10/dist-packages (from scikit-image->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 14)) (0.4)\n", + "Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 21)) (1.4.2)\n", + "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 21)) (3.5.0)\n", + "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (1.4.0)\n", + "Requirement already satisfied: grpcio>=1.48.2 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (1.64.1)\n", + "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (3.7)\n", + "Requirement already satisfied: six>1.9 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (1.16.0)\n", + "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (0.7.2)\n", + "Requirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (3.0.4)\n", + "Requirement already satisfied: pandas>=0.23.1 in /usr/local/lib/python3.10/dist-packages (from motmetrics->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 30)) (2.2.2)\n", + "Collecting xmltodict>=0.12.0 (from motmetrics->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 30))\n", + " Using cached xmltodict-0.14.2-py2.py3-none-any.whl.metadata (8.0 kB)\n", + "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prettytable->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 35)) (0.2.13)\n", + "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (from gdown->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 41)) (4.12.3)\n", + "Collecting coloredlogs (from onnxruntime->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 43))\n", + " Using cached coloredlogs-15.0.1-py2.py3-none-any.whl.metadata (12 kB)\n", + "Requirement already satisfied: flatbuffers in /usr/local/lib/python3.10/dist-packages (from onnxruntime->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 43)) (24.3.25)\n", + "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from onnx-simplifier->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 44)) (13.9.2)\n", + "Requirement already satisfied: gitdb<5,>=4.0.1 in /usr/local/lib/python3.10/dist-packages (from gitpython!=3.1.29,>=1.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (4.0.11)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.1->motmetrics->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 30)) (2024.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.1->motmetrics->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 30)) (2024.2)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (3.4.0)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (3.10)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (2.2.3)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (2024.8.30)\n", + "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.10/dist-packages (from werkzeug>=1.0.1->tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (3.0.2)\n", + "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->gdown->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 41)) (2.6)\n", + "Collecting humanfriendly>=9.1 (from coloredlogs->onnxruntime->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 43))\n", + " Using cached humanfriendly-10.0-py2.py3-none-any.whl.metadata (9.2 kB)\n", + "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 41)) (1.7.1)\n", + "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->onnx-simplifier->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 44)) (3.0.0)\n", + "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->onnx-simplifier->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 44)) (2.18.0)\n", + "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (1.3.0)\n", + "Requirement already satisfied: smmap<6,>=3.0.1 in /usr/local/lib/python3.10/dist-packages (from gitdb<5,>=4.0.1->gitpython!=3.1.29,>=1.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (5.0.1)\n", + "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->onnx-simplifier->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 44)) (0.1.2)\n", + "Using cached torchprofile-0.0.4-py3-none-any.whl (7.7 kB)\n", + "Using cached smplx-0.1.28-py3-none-any.whl (29 kB)\n", + "Using cached yacs-0.1.8-py3-none-any.whl (14 kB)\n", + "Using cached thop-0.1.1.post2209072238-py3-none-any.whl (15 kB)\n", + "Using cached ninja-1.11.1.1-py2.py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl (307 kB)\n", + "Using cached motmetrics-1.4.0-py3-none-any.whl (161 kB)\n", + "Using cached onnx-1.17.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.0 MB)\n", + "Using cached onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (13.2 MB)\n", + "Using cached onnx_simplifier-0.4.36-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB)\n", + "Using cached faiss_cpu-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.5 MB)\n", + "Using cached faiss_gpu-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (85.5 MB)\n", + "Using cached xmltodict-0.14.2-py2.py3-none-any.whl (10.0 kB)\n", + "Using cached coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)\n", + "Using cached humanfriendly-10.0-py2.py3-none-any.whl (86 kB)\n", + "Building wheels for collected packages: pycocotools\n", + " Building wheel for pycocotools (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for pycocotools: filename=pycocotools-2.0-cp310-cp310-linux_x86_64.whl size=376060 sha256=2c2ba2d075e965eab89ede3e4a989c5c2a706e3e01b1e5c25857c246e46d1050\n", + " Stored in directory: /tmp/pip-ephem-wheel-cache-swq_x4wc/wheels/39/61/b4/480fbddb4d3d6bc34083e7397bc6f5d1381f79acc68e9f3511\n", + "Successfully built pycocotools\n", + "Installing collected packages: ninja, faiss-gpu, yacs, xmltodict, onnx, humanfriendly, faiss-cpu, cython_bbox, coloredlogs, thop, smplx, pycocotools, onnxruntime, onnx-simplifier, motmetrics, filterpy, torchprofile\n", + " Attempting uninstall: pycocotools\n", + " Found existing installation: pycocotools 2.0.8\n", + " Uninstalling pycocotools-2.0.8:\n", + " Successfully uninstalled pycocotools-2.0.8\n", + "Successfully installed coloredlogs-15.0.1 cython_bbox-0.1.5 faiss-cpu-1.9.0 faiss-gpu-1.7.2 filterpy-1.4.5 humanfriendly-10.0 motmetrics-1.4.0 ninja-1.11.1.1 onnx-1.17.0 onnx-simplifier-0.4.36 onnxruntime-1.19.2 pycocotools-2.0 smplx-0.1.28 thop-0.1.1.post2209072238 torchprofile-0.0.4 xmltodict-0.14.2 yacs-0.1.8\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Create necessary folders for the models\n", + "!mkdir -p 3dsp_utils/MotionAGFormer/checkpoint/\n", + "!mkdir -p 3dsp_utils/MotionAGFormer/demo/lib/checkpoint/\n", + "!mkdir -p 3dsp_utils/bot_sort/yolov8_player/\n", + "\n", + "# Copy pre-trained model weights from Google Drive to the respective directories\n", + "\n", + "# Copy 2D model\n", + "!cp /content/drive/MyDrive/pose_hrnet_w48_384x288.pth 3dsp_utils/MotionAGFormer/checkpoint/MotionAGFormer_2d.pth\n", + "\n", + "# Copy 3D model\n", + "!cp /content/drive/MyDrive/motionagformer-b-h36m.pth.tr 3dsp_utils/MotionAGFormer/demo/lib/checkpoint/MotionAGFormer_3d.pth\n", + "\n", + "# Copy YOLOv8 model for player detection\n", + "!cp /content/drive/MyDrive/yolov8_player.pt 3dsp_utils/bot_sort/yolov8_player/best.pt\n" + ], + "metadata": { + "id": "axAp3T1T-iD9" + }, + "execution_count": 6, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Navigate to the utils folder\n", + "%cd /content/3D-Shot-Posture-Dataset/3dsp_utils\n", + "\n", + "# Run the demo script to extract 3D postures using your target clip\n", + "!python demo.py -t /content/united.mp4\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-GJimpDFHla3", + "outputId": "9b4839fd-e43b-4f77-c5ae-81aaaac9d7ec" + }, + "execution_count": 32, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/3D-Shot-Posture-Dataset/3dsp_utils\n", + "usage: BoT-SORT Demo! [-h] [-demo DEMO] [-expn EXPERIMENT_NAME] [-n NAME] [--path PATH]\n", + " [--camid CAMID] [--save_result] [-f EXP_FILE] [-c CKPT] [--device DEVICE]\n", + " [--conf CONF] [--nms NMS] [--tsize TSIZE] [--fps FPS] [--fp16] [--fuse]\n", + " [--trt] [--track_high_thresh TRACK_HIGH_THRESH]\n", + " [--track_low_thresh TRACK_LOW_THRESH] [--new_track_thresh NEW_TRACK_THRESH]\n", + " [--track_buffer TRACK_BUFFER] [--match_thresh MATCH_THRESH]\n", + " [--aspect_ratio_thresh ASPECT_RATIO_THRESH] [--min_box_area MIN_BOX_AREA]\n", + " [--fuse-score] [--cmc-method CMC_METHOD] [--with-reid]\n", + " [--fast-reid-config FAST_REID_CONFIG]\n", + " [--fast-reid-weights FAST_REID_WEIGHTS]\n", + " [--proximity_thresh PROXIMITY_THRESH]\n", + " [--appearance_thresh APPEARANCE_THRESH]\n", + "BoT-SORT Demo!: error: unrecognized arguments: -t /content/united.mp4\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "! python demo.py -t /content/united.mp4 --expn \"Manchester United\" --device cuda --track_high_thresh 0.5 --track_low_thresh 0.1 --save_result\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "0ifoGdKQSyQj", + "outputId": "edb5b779-0e9c-42bd-9854-69555a869c84" + }, + "execution_count": 40, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "usage: demo.py [-h] [--root ROOT] [--yolov8_param YOLOV8_PARAM] [--save_image]\n", + " [--num_frame NUM_FRAME] [--device DEVICE] [--gpu GPU] [-t TRAGET_CLIP]\n", + "demo.py: error: unrecognized arguments: --expn Manchester United --track_high_thresh 0.5 --track_low_thresh 0.1 --save_result\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "! python demo.py -h" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "pumxrmPdW7pK", + "outputId": "e2fd573f-f626-4247-d685-660d9f6666fa" + }, + "execution_count": 42, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "usage: demo.py [-h] [--root ROOT] [--yolov8_param YOLOV8_PARAM] [--save_image]\n", + " [--num_frame NUM_FRAME] [--device DEVICE] [--gpu GPU] [-t TRAGET_CLIP]\n", + "\n", + "options:\n", + " -h, --help show this help message and exit\n", + " --root ROOT, -p ROOT root path to save the dataset\n", + " --yolov8_param YOLOV8_PARAM\n", + " path to the yolov8 parameter\n", + " --save_image Flag to save the image. If present, the value will be True.\n", + " --num_frame NUM_FRAME\n", + " number of frames to track\n", + " --device DEVICE device to be used\n", + " --gpu GPU input video\n", + " -t TRAGET_CLIP, --traget_clip TRAGET_CLIP\n", + " target clip to be considered\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "! python demo.py -t /content/united.mp4 --root /content/3D-Shot-Posture-Dataset --yolov8_param 3dsp_utils/bot_sort/yolov8_player/best.pt --num_frame 10 --gpu 0 --save_image" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "KimbVGL4WtdP", + "outputId": "473d7d67-fe11-4a6e-957e-7659ef727832" + }, + "execution_count": 49, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "usage: BoT-SORT Demo! [-h] [-demo DEMO] [-expn EXPERIMENT_NAME] [-n NAME] [--path PATH]\n", + " [--camid CAMID] [--save_result] [-f EXP_FILE] [-c CKPT] [--device DEVICE]\n", + " [--conf CONF] [--nms NMS] [--tsize TSIZE] [--fps FPS] [--fp16] [--fuse]\n", + " [--trt] [--track_high_thresh TRACK_HIGH_THRESH]\n", + " [--track_low_thresh TRACK_LOW_THRESH] [--new_track_thresh NEW_TRACK_THRESH]\n", + " [--track_buffer TRACK_BUFFER] [--match_thresh MATCH_THRESH]\n", + " [--aspect_ratio_thresh ASPECT_RATIO_THRESH] [--min_box_area MIN_BOX_AREA]\n", + " [--fuse-score] [--cmc-method CMC_METHOD] [--with-reid]\n", + " [--fast-reid-config FAST_REID_CONFIG]\n", + " [--fast-reid-weights FAST_REID_WEIGHTS]\n", + " [--proximity_thresh PROXIMITY_THRESH]\n", + " [--appearance_thresh APPEARANCE_THRESH]\n", + "BoT-SORT Demo!: error: unrecognized arguments: -t /content/united.mp4 --root /content/3D-Shot-Posture-Dataset --yolov8_param 3dsp_utils/bot_sort/yolov8_player/best.pt --num_frame 10 --gpu 0 --save_image\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [], + "metadata": { + "id": "K5r7fhSWZznJ" + } + }, + { + "cell_type": "code", + "source": [ + "! pip install loguru" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "73zuTYlULl9A", + "outputId": "2dbab114-3f4a-43a1-895d-a60da63843db" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting loguru\n", + " Using cached loguru-0.7.2-py3-none-any.whl.metadata (23 kB)\n", + "Downloading loguru-0.7.2-py3-none-any.whl (62 kB)\n", + "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/62.5 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.5/62.5 kB\u001b[0m \u001b[31m4.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: loguru\n", + "Successfully installed loguru-0.7.2\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "! pip install -r /content/3D-Shot-Posture-Dataset/requirements.txt" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2hFWF0tuLZz6", + "outputId": "984b5434-7901-4dc6-ea68-9daee02c989c" + }, + "execution_count": 15, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 51))\n", + " Cloning https://github.com/cocodataset/cocoapi.git to /tmp/pip-req-build-roe22xk5\n", + " Running command git clone --filter=blob:none --quiet https://github.com/cocodataset/cocoapi.git /tmp/pip-req-build-roe22xk5\n", + " Resolved https://github.com/cocodataset/cocoapi.git to commit 8c9bcc3cf640524c4c20a9c40e89cb6a2f2fa0e9\n", + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 1)) (4.66.5)\n", + "Requirement already satisfied: easydict in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 2)) (1.13)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 3)) (1.26.4)\n", + "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (2.4.1+cu121)\n", + "Requirement already satisfied: timm in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 5)) (1.0.11)\n", + "Requirement already satisfied: PyYAML in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 6)) (6.0.2)\n", + "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (3.7.1)\n", + "Requirement already satisfied: wandb in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (0.18.5)\n", + "Collecting torchprofile (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 9))\n", + " Using cached torchprofile-0.0.4-py3-none-any.whl.metadata (303 bytes)\n", + "Collecting smplx (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 10))\n", + " Using cached smplx-0.1.28-py3-none-any.whl.metadata (10 kB)\n", + "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 11)) (1.13.1)\n", + "Requirement already satisfied: opencv-python in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 12)) (4.10.0.84)\n", + "Requirement already satisfied: numba in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 13)) (0.60.0)\n", + "Requirement already satisfied: scikit-image in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 14)) (0.24.0)\n", + "Collecting filterpy (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 15))\n", + " Using cached filterpy-1.4.5.zip (177 kB)\n", + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Collecting yacs (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 16))\n", + " Using cached yacs-0.1.8-py3-none-any.whl.metadata (639 bytes)\n", + "Requirement already satisfied: loguru in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 19)) (0.7.2)\n", + "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 21)) (1.5.2)\n", + "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 23)) (0.19.1+cu121)\n", + "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 24)) (10.4.0)\n", + "Collecting thop (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 25))\n", + " Using cached thop-0.1.1.post2209072238-py3-none-any.whl.metadata (2.7 kB)\n", + "Collecting ninja (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 26))\n", + " Using cached ninja-1.11.1.1-py2.py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl.metadata (5.3 kB)\n", + "Requirement already satisfied: tabulate in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 27)) (0.9.0)\n", + "Requirement already satisfied: tensorboard in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (2.17.0)\n", + "Collecting lap (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 29))\n", + " Using cached lap-0.4.0.tar.gz (1.5 MB)\n", + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Collecting motmetrics (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 30))\n", + " Using cached motmetrics-1.4.0-py3-none-any.whl.metadata (20 kB)\n", + "Requirement already satisfied: h5py in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 32)) (3.11.0)\n", + "Requirement already satisfied: prettytable in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 35)) (3.11.0)\n", + "Requirement already satisfied: termcolor in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 40)) (2.5.0)\n", + "Requirement already satisfied: gdown in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 41)) (5.2.0)\n", + "Collecting onnx (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 42))\n", + " Downloading onnx-1.17.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (16 kB)\n", + "Collecting onnxruntime (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 43))\n", + " Downloading onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (4.5 kB)\n", + "Collecting onnx-simplifier (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 44))\n", + " Downloading onnx_simplifier-0.4.36-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.3 kB)\n", + "Requirement already satisfied: opencv-contrib-python in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 47)) (4.10.0.84)\n", + "Requirement already satisfied: cython in /usr/local/lib/python3.10/dist-packages (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 50)) (3.0.11)\n", + "Collecting cython_bbox (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 52))\n", + " Downloading cython_bbox-0.1.5.tar.gz (4.4 kB)\n", + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Collecting faiss-cpu (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 53))\n", + " Downloading faiss_cpu-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.4 kB)\n", + "Collecting faiss-gpu (from -r /content/3D-Shot-Posture-Dataset/requirements.txt (line 54))\n", + " Downloading faiss_gpu-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.4 kB)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (3.16.1)\n", + "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (4.12.2)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (1.13.3)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (3.4.1)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (3.1.4)\n", + "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (2024.6.1)\n", + "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (from timm->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 5)) (0.24.7)\n", + "Requirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (from timm->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 5)) (0.4.5)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (1.3.0)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (4.54.1)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (1.4.7)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (24.1)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (3.2.0)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 7)) (2.8.2)\n", + "Requirement already satisfied: click!=8.0.0,>=7.1 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (8.1.7)\n", + "Requirement already satisfied: docker-pycreds>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (0.4.0)\n", + "Requirement already satisfied: gitpython!=3.1.29,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (3.1.43)\n", + "Requirement already satisfied: platformdirs in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (4.3.6)\n", + "Requirement already satisfied: protobuf!=4.21.0,!=5.28.0,<6,>=3.19.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (3.20.3)\n", + "Requirement already satisfied: psutil>=5.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (5.9.5)\n", + "Requirement already satisfied: requests<3,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (2.32.3)\n", + "Requirement already satisfied: sentry-sdk>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (2.17.0)\n", + "Requirement already satisfied: setproctitle in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (1.3.3)\n", + "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (75.1.0)\n", + "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 13)) (0.43.0)\n", + "Requirement already satisfied: imageio>=2.33 in /usr/local/lib/python3.10/dist-packages (from scikit-image->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 14)) (2.35.1)\n", + "Requirement already satisfied: tifffile>=2022.8.12 in /usr/local/lib/python3.10/dist-packages (from scikit-image->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 14)) (2024.9.20)\n", + "Requirement already satisfied: lazy-loader>=0.4 in /usr/local/lib/python3.10/dist-packages (from scikit-image->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 14)) (0.4)\n", + "Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 21)) (1.4.2)\n", + "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 21)) (3.5.0)\n", + "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (1.4.0)\n", + "Requirement already satisfied: grpcio>=1.48.2 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (1.64.1)\n", + "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (3.7)\n", + "Requirement already satisfied: six>1.9 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (1.16.0)\n", + "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (0.7.2)\n", + "Requirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (3.0.4)\n", + "Requirement already satisfied: pandas>=0.23.1 in /usr/local/lib/python3.10/dist-packages (from motmetrics->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 30)) (2.2.2)\n", + "Collecting xmltodict>=0.12.0 (from motmetrics->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 30))\n", + " Downloading xmltodict-0.14.2-py2.py3-none-any.whl.metadata (8.0 kB)\n", + "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prettytable->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 35)) (0.2.13)\n", + "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (from gdown->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 41)) (4.12.3)\n", + "Collecting coloredlogs (from onnxruntime->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 43))\n", + " Downloading coloredlogs-15.0.1-py2.py3-none-any.whl.metadata (12 kB)\n", + "Requirement already satisfied: flatbuffers in /usr/local/lib/python3.10/dist-packages (from onnxruntime->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 43)) (24.3.25)\n", + "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from onnx-simplifier->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 44)) (13.9.2)\n", + "Requirement already satisfied: gitdb<5,>=4.0.1 in /usr/local/lib/python3.10/dist-packages (from gitpython!=3.1.29,>=1.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (4.0.11)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.1->motmetrics->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 30)) (2024.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.23.1->motmetrics->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 30)) (2024.2)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (3.4.0)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (3.10)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (2.2.3)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (2024.8.30)\n", + "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.10/dist-packages (from werkzeug>=1.0.1->tensorboard->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 28)) (3.0.2)\n", + "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->gdown->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 41)) (2.6)\n", + "Collecting humanfriendly>=9.1 (from coloredlogs->onnxruntime->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 43))\n", + " Downloading humanfriendly-10.0-py2.py3-none-any.whl.metadata (9.2 kB)\n", + "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.10/dist-packages (from requests[socks]->gdown->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 41)) (1.7.1)\n", + "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->onnx-simplifier->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 44)) (3.0.0)\n", + "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->onnx-simplifier->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 44)) (2.18.0)\n", + "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 4)) (1.3.0)\n", + "Requirement already satisfied: smmap<6,>=3.0.1 in /usr/local/lib/python3.10/dist-packages (from gitdb<5,>=4.0.1->gitpython!=3.1.29,>=1.0.0->wandb->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 8)) (5.0.1)\n", + "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->onnx-simplifier->-r /content/3D-Shot-Posture-Dataset/requirements.txt (line 44)) (0.1.2)\n", + "Downloading torchprofile-0.0.4-py3-none-any.whl (7.7 kB)\n", + "Downloading smplx-0.1.28-py3-none-any.whl (29 kB)\n", + "Downloading yacs-0.1.8-py3-none-any.whl (14 kB)\n", + "Downloading thop-0.1.1.post2209072238-py3-none-any.whl (15 kB)\n", + "Downloading ninja-1.11.1.1-py2.py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl (307 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m307.2/307.2 kB\u001b[0m \u001b[31m15.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading motmetrics-1.4.0-py3-none-any.whl (161 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m161.5/161.5 kB\u001b[0m \u001b[31m13.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading onnx-1.17.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.0 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.0/16.0 MB\u001b[0m \u001b[31m78.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (13.2 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.2/13.2 MB\u001b[0m \u001b[31m35.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading onnx_simplifier-0.4.36-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m71.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading faiss_cpu-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.5 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27.5/27.5 MB\u001b[0m \u001b[31m26.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading faiss_gpu-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (85.5 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m85.5/85.5 MB\u001b[0m \u001b[31m9.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading xmltodict-0.14.2-py2.py3-none-any.whl (10.0 kB)\n", + "Downloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m3.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hBuilding wheels for collected packages: filterpy, lap, pycocotools, cython_bbox\n", + " Building wheel for filterpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for filterpy: filename=filterpy-1.4.5-py3-none-any.whl size=110458 sha256=d4b833ed22161b467a0c1a08bc9dddcf41933eb1581222a01aa832de85901fac\n", + " Stored in directory: /root/.cache/pip/wheels/0f/0c/ea/218f266af4ad626897562199fbbcba521b8497303200186102\n", + " \u001b[1;31merror\u001b[0m: \u001b[1msubprocess-exited-with-error\u001b[0m\n", + " \n", + " \u001b[31m×\u001b[0m \u001b[32mpython setup.py bdist_wheel\u001b[0m did not run successfully.\n", + " \u001b[31m│\u001b[0m exit code: \u001b[1;36m1\u001b[0m\n", + " \u001b[31m╰─>\u001b[0m See above for output.\n", + " \n", + " \u001b[1;35mnote\u001b[0m: This error originates from a subprocess, and is likely not a problem with pip.\n", + " Building wheel for lap (setup.py) ... \u001b[?25lerror\n", + "\u001b[31m ERROR: Failed building wheel for lap\u001b[0m\u001b[31m\n", + "\u001b[0m\u001b[?25h Running setup.py clean for lap\n", + " Building wheel for pycocotools (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for pycocotools: filename=pycocotools-2.0-cp310-cp310-linux_x86_64.whl size=376059 sha256=879fb29c2ad14080983c6c743c06fff9fc6ab0edc682288fe6641908345e106b\n", + " Stored in directory: /tmp/pip-ephem-wheel-cache-d79vlb8t/wheels/39/61/b4/480fbddb4d3d6bc34083e7397bc6f5d1381f79acc68e9f3511\n", + " Building wheel for cython_bbox (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for cython_bbox: filename=cython_bbox-0.1.5-cp310-cp310-linux_x86_64.whl size=99108 sha256=6e95eeb5a48110abb7c95c258c1d9ea4cb24e3b5ad9c8f3587636bf8784e7bed\n", + " Stored in directory: /root/.cache/pip/wheels/c0/b7/68/bab98b7180cda501101a57fb7d36884218ad45ec60c27cd679\n", + "Successfully built filterpy pycocotools cython_bbox\n", + "Failed to build lap\n", + "\u001b[31mERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (lap)\u001b[0m\u001b[31m\n", + "\u001b[0m" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install git+https://github.com/gatagat/lap.git\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5dswootINXtK", + "outputId": "564725e9-8a22-4d7e-bc38-a7616c325faf" + }, + "execution_count": 24, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting git+https://github.com/gatagat/lap.git\n", + " Cloning https://github.com/gatagat/lap.git to /tmp/pip-req-build-2z274eyw\n", + " Running command git clone --filter=blob:none --quiet https://github.com/gatagat/lap.git /tmp/pip-req-build-2z274eyw\n", + " Resolved https://github.com/gatagat/lap.git to commit ed04ab7752c7c9688ddcbae534633f34ce04361f\n", + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Building wheels for collected packages: lap\n", + " \u001b[1;31merror\u001b[0m: \u001b[1msubprocess-exited-with-error\u001b[0m\n", + " \n", + " \u001b[31m×\u001b[0m \u001b[32mpython setup.py bdist_wheel\u001b[0m did not run successfully.\n", + " \u001b[31m│\u001b[0m exit code: \u001b[1;36m1\u001b[0m\n", + " \u001b[31m╰─>\u001b[0m See above for output.\n", + " \n", + " \u001b[1;35mnote\u001b[0m: This error originates from a subprocess, and is likely not a problem with pip.\n", + " Building wheel for lap (setup.py) ... \u001b[?25lerror\n", + "\u001b[31m ERROR: Failed building wheel for lap\u001b[0m\u001b[31m\n", + "\u001b[0m\u001b[?25h Running setup.py clean for lap\n", + "Failed to build lap\n", + "\u001b[31mERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (lap)\u001b[0m\u001b[31m\n", + "\u001b[0m" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "! pip install lapx" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "f7OTfyAoPaK_", + "outputId": "0c62a8cf-780a-4a23-ef17-9104e04aef8b" + }, + "execution_count": 25, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting lapx\n", + " Downloading lapx-0.5.11-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.1 kB)\n", + "Requirement already satisfied: numpy>=1.21.6 in /usr/local/lib/python3.10/dist-packages (from lapx) (1.26.4)\n", + "Downloading lapx-0.5.11-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n", + "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.7 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m65.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m41.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: lapx\n", + "Successfully installed lapx-0.5.11\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install cython\n", + "!pip install opencv-python-headless\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "l9ETxY5qNbNz", + "outputId": "7285be1e-fd7e-4379-abdf-40c8a67c751c" + }, + "execution_count": 23, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: cython in /usr/local/lib/python3.10/dist-packages (3.0.11)\n", + "Requirement already satisfied: opencv-python-headless in /usr/local/lib/python3.10/dist-packages (4.10.0.84)\n", + "Requirement already satisfied: numpy>=1.21.2 in /usr/local/lib/python3.10/dist-packages (from opencv-python-headless) (1.26.4)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "! pip install ultralytics" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "odcKErXKLIFD", + "outputId": "966841a8-3c0c-4b42-8b5b-9a111b6d3772" + }, + "execution_count": 9, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting ultralytics\n", + " Downloading ultralytics-8.3.20-py3-none-any.whl.metadata (34 kB)\n", + "Requirement already satisfied: numpy>=1.23.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (1.26.4)\n", + "Requirement already satisfied: matplotlib>=3.3.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (3.7.1)\n", + "Requirement already satisfied: opencv-python>=4.6.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (4.10.0.84)\n", + "Requirement already satisfied: pillow>=7.1.2 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (10.4.0)\n", + "Requirement already satisfied: pyyaml>=5.3.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (6.0.2)\n", + "Requirement already satisfied: requests>=2.23.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (2.32.3)\n", + "Requirement already satisfied: scipy>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (1.13.1)\n", + "Requirement already satisfied: torch>=1.8.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (2.4.1+cu121)\n", + "Requirement already satisfied: torchvision>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (0.19.1+cu121)\n", + "Requirement already satisfied: tqdm>=4.64.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (4.66.5)\n", + "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from ultralytics) (5.9.5)\n", + "Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from ultralytics) (9.0.0)\n", + "Requirement already satisfied: pandas>=1.1.4 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (2.2.2)\n", + "Requirement already satisfied: seaborn>=0.11.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (0.13.2)\n", + "Collecting ultralytics-thop>=2.0.0 (from ultralytics)\n", + " Downloading ultralytics_thop-2.0.9-py3-none-any.whl.metadata (9.3 kB)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (1.3.0)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (4.54.1)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (1.4.7)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (24.1)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (3.2.0)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.4->ultralytics) (2024.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.4->ultralytics) (2024.2)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (3.4.0)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (3.10)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (2.2.3)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (2024.8.30)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (3.16.1)\n", + "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (4.12.2)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (1.13.3)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (3.4.1)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (3.1.4)\n", + "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (2024.6.1)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=3.3.0->ultralytics) (1.16.0)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.8.0->ultralytics) (3.0.2)\n", + "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.8.0->ultralytics) (1.3.0)\n", + "Downloading ultralytics-8.3.20-py3-none-any.whl (876 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m876.6/876.6 kB\u001b[0m \u001b[31m36.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading ultralytics_thop-2.0.9-py3-none-any.whl (26 kB)\n", + "Installing collected packages: ultralytics-thop, ultralytics\n", + "Successfully installed ultralytics-8.3.20 ultralytics-thop-2.0.9\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!sudo apt-get install -y build-essential\n", + "!sudo apt-get install -y cmake\n", + "!sudo apt-get install -y libopenblas-dev\n", + "!sudo apt-get install -y liblapack-dev" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "GZ_Bksq6OkKN", + "outputId": "47ef3297-c69c-4c1c-c649-0943ca9a43f3" + }, + "execution_count": 22, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Reading package lists... Done\n", + "Building dependency tree... Done\n", + "Reading state information... Done\n", + "build-essential is already the newest version (12.9ubuntu3).\n", + "0 upgraded, 0 newly installed, 0 to remove and 49 not upgraded.\n", + "Reading package lists... Done\n", + "Building dependency tree... Done\n", + "Reading state information... Done\n", + "cmake is already the newest version (3.22.1-1ubuntu1.22.04.2).\n", + "0 upgraded, 0 newly installed, 0 to remove and 49 not upgraded.\n", + "Reading package lists... Done\n", + "Building dependency tree... Done\n", + "Reading state information... Done\n", + "libopenblas-dev is already the newest version (0.3.20+ds-1).\n", + "0 upgraded, 0 newly installed, 0 to remove and 49 not upgraded.\n", + "Reading package lists... Done\n", + "Building dependency tree... Done\n", + "Reading state information... Done\n", + "liblapack-dev is already the newest version (3.10.0-2ubuntu1).\n", + "0 upgraded, 0 newly installed, 0 to remove and 49 not upgraded.\n" + ] + } + ] + } + ] +} \ No newline at end of file diff --git a/F1_curve.png b/F1_curve.png new file mode 100644 index 0000000..313fafc Binary files /dev/null and b/F1_curve.png differ diff --git a/Ghentdriving.py b/Ghentdriving.py deleted file mode 100644 index 51ee75b..0000000 --- a/Ghentdriving.py +++ /dev/null @@ -1,124 +0,0 @@ -import cv2 -from sort import * -import math -import numpy as np -from ultralytics import YOLO - -# Define the body part indices -body_index = { - "nose": 0, - "left_eye": 1, - "right_eye": 2, - "left_ear": 3, - "right_ear": 4, - "left_shoulder": 5, - "right_shoulder": 6, - "left_elbow": 7, - "right_elbow": 8, - "left_wrist": 9, - "right_wrist": 10, - "left_hip": 11, - "right_hip": 12, - "left_knee": 13, - "right_knee": 14, - "left_ankle": 15, - "right_ankle": 16, -} - -# Body part colors -part_colors = { - "nose": (255, 0, 0), - "left_eye": (0, 255, 0), - "right_eye": (0, 0, 255), - "left_ear": (255, 255, 0), - "right_ear": (255, 0, 255), - "left_shoulder": (0, 255, 255), - "right_shoulder": (255, 255, 255), - "left_elbow": (128, 128, 0), - "right_elbow": (0, 128, 128), - "left_wrist": (128, 0, 128), - "right_wrist": (0, 128, 0), - "left_hip": (128, 0, 0), - "right_hip": (0, 128, 0), - "left_knee": (0, 0, 128), - "right_knee": (128, 0, 0), - "left_ankle": (0, 0, 0), - "right_ankle": (255, 255, 255), -} - -cap = cv2.VideoCapture('/Users/pascal/Desktop/ghentbycar.mp4') -model_object_detection = YOLO('yolov8n.pt') -model_pose_detection = YOLO("yolov8s-pose.pt") - -classnames = ['car', 'bus', 'truck', 'person'] -tracker = Sort(max_age=20) -line = [320, 350, 620, 350] - -while 1: - ret, frame = cap.read() - if not ret: - cap = cv2.VideoCapture('/Users/pascal/Desktop/ghentbycar.mp4') - continue - detections = np.empty((0, 5)) - - # Use object detection model for all objects by default - model = model_object_detection - - result = model(frame, stream=1) - for info in result: - boxes = info.boxes - for box in boxes: - x1, y1, x2, y2 = box.xyxy[0] - conf = box.conf[0] - classindex = box.cls[0] - conf = math.ceil(conf * 100) - classindex = int(classindex) - - # Check if classindex is within the valid range - if 0 <= classindex < len(classnames): - objectdetect = classnames[classindex] - - # Lower the confidence threshold to 30% - if (objectdetect == 'car' or objectdetect == 'bus' or objectdetect == 'truck' or - objectdetect == 'person') and conf > 30: - x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2) - new_detections = np.array([x1, y1, x2, y2, conf]) - detections = np.vstack((detections, new_detections)) - - # Use pose detection model only when the detected object is a person - if objectdetect == 'person': - print("Using pose detection model") - model = model_pose_detection - # Run pose detection on the region containing the person - pose_results = model(frame[y1:y2, x1:x2]) - - # Visualize keypoints with different colors - for pose_result in pose_results: - keypoints = pose_result.keypoints.data[0] - for i, (x, y, _) in enumerate(keypoints): - x, y = int(x) + x1, int(y) + y1 - color = part_colors.get(list(body_index.keys())[i], (0, 255, 0)) # Default to green if color not defined - cv2.circle(frame, (x, y), 5, color, -1) - - track_result = tracker.update(detections) - cv2.line(frame, (line[0], line[1]), (line[2], line[3]), (0, 255, 255), 7) - - for results in track_result: - x1, y1, x2, y2, id = results - x1, y1, x2, y2, id = int(x1), int(y1), int(x2), int(y2), int(id) - - w, h = x2 - x1, y2 - y1 - cx, cy = x1 + w // 2, y1 + h // 2 - - cv2.circle(frame, (cx, cy), 6, (0, 0, 255), -1) - cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 3) - - if detections.size > 0 and id < len(detections): - cv2.putText(frame, f'{id} Conf: {detections[id][4]}%', (x1 + 8, y1 - 12), - cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 2) - - if line[0] < cx < line[2] and line[1] - 20 < cy < line[1] + 20: - cv2.line(frame, (line[0], line[1]), (line[2], line[3]), (0, 0, 255), 15) - - cv2.imshow('frame', frame) - cv2.waitKey(1) diff --git a/PR_curve.png b/PR_curve.png new file mode 100644 index 0000000..5a7c763 Binary files /dev/null and b/PR_curve.png differ diff --git a/P_curve.png b/P_curve.png new file mode 100644 index 0000000..891e69f Binary files /dev/null and b/P_curve.png differ diff --git a/README.md b/README.md deleted file mode 100644 index fcc0854..0000000 --- a/README.md +++ /dev/null @@ -1,15 +0,0 @@ -# python-opencv -to run the regiodetection.py always use these commands # If you want to save results -python yolov8_region_counter.py --source "path/to/video.mp4" --save-img --view-img - -# If you want to run model on CPU -python yolov8_region_counter.py --source "path/to/video.mp4" --save-img --view-img --device cpu - -# If you want to change model file -python yolov8_region_counter.py --source "path/to/video.mp4" --save-img --weights "path/to/model.pt" - -# If you dont want to save results -python yolov8_region_counter.py --source "path/to/video.mp4" --view-img -#for example -python regiondetection.py --source "/Users/pascal/Desktop/seppevideo.mp4" --save-img --view-img - to update you can use this command: pip3 install --upgrade ultralytics diff --git a/R_curve.png b/R_curve.png new file mode 100644 index 0000000..13b8062 Binary files /dev/null and b/R_curve.png differ diff --git a/__pycache__/sort.cpython-310.pyc b/__pycache__/sort.cpython-310.pyc deleted file mode 100644 index b14f212..0000000 Binary files a/__pycache__/sort.cpython-310.pyc and /dev/null differ diff --git a/annotated_paris.mp4 b/annotated_paris.mp4 deleted file mode 100644 index 5f495f3..0000000 --- a/annotated_paris.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:dc29f722f599503c8bb374210b23d8f8d8670154f212788c7f466d85877b11eb -size 5793856 diff --git a/args.yaml b/args.yaml new file mode 100644 index 0000000..3cc4be5 --- /dev/null +++ b/args.yaml @@ -0,0 +1,105 @@ +task: detect +mode: train +model: yolov8n.pt +data: /Users/pascal/Desktop/fcberdidrongen.v1i.yolov8/data.yaml +epochs: 10 +time: null +patience: 50 +batch: 16 +imgsz: 320 +save: true +save_period: -1 +cache: false +device: null +workers: 8 +project: null +name: train5 +exist_ok: false +pretrained: true +optimizer: auto +verbose: true +seed: 0 +deterministic: true +single_cls: false +rect: false +cos_lr: false +close_mosaic: 10 +resume: false +amp: true +fraction: 1.0 +profile: false +freeze: null +multi_scale: false +overlap_mask: true +mask_ratio: 4 +dropout: 0.0 +val: true +split: val +save_json: false +save_hybrid: false +conf: null +iou: 0.7 +max_det: 300 +half: false +dnn: false +plots: true +source: null +vid_stride: 1 +stream_buffer: false +visualize: false +augment: false +agnostic_nms: false +classes: null +retina_masks: false +embed: null +show: false +save_frames: false +save_txt: false +save_conf: false +save_crop: false +show_labels: true +show_conf: true +show_boxes: true +line_width: null +format: torchscript +keras: false +optimize: false +int8: false +dynamic: false +simplify: false +opset: null +workspace: 4 +nms: false +lr0: 0.01 +lrf: 0.01 +momentum: 0.937 +weight_decay: 0.0005 +warmup_epochs: 3.0 +warmup_momentum: 0.8 +warmup_bias_lr: 0.1 +box: 7.5 +cls: 0.5 +dfl: 1.5 +pose: 12.0 +kobj: 1.0 +label_smoothing: 0.0 +nbs: 64 +hsv_h: 0.015 +hsv_s: 0.7 +hsv_v: 0.4 +degrees: 0.0 +translate: 0.1 +scale: 0.5 +shear: 0.0 +perspective: 0.0 +flipud: 0.0 +fliplr: 0.5 +mosaic: 1.0 +mixup: 0.0 +copy_paste: 0.0 +auto_augment: randaugment +erasing: 0.4 +crop_fraction: 1.0 +cfg: null +tracker: botsort.yaml +save_dir: /Users/pascal/runs/detect/train5 diff --git a/berdiboys.py b/berdiboys.py deleted file mode 100644 index 48e592e..0000000 --- a/berdiboys.py +++ /dev/null @@ -1,54 +0,0 @@ -import cv2 -from ultralytics import YOLO -from roboflow import Roboflow -from IPython.display import Image, display - -# Define model path, video path, and output video path -MODEL_PATH = '/Users/pascal/desktop/yolov8m-football-1.pt' -VIDEO_PATH = '/Users/pascal/Desktop/soccer.mp4' -OUTPUT_VIDEO_PATH = '/Users/pascal/Desktop/soccer_output.mp4' - - -# Train the YOLO model with the specified dataset -model = YOLO("yolov8m-football.pt") -results = model.train( epochs=10, imgsz=320) - -# Load the trained YOLO model -model = YOLO(MODEL_PATH) - -# Open the video file -cap = cv2.VideoCapture(VIDEO_PATH) - -# Get video properties -frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) -frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) -frame_rate = int(cap.get(cv2.CAP_PROP_FPS)) - -# Define the codec and create VideoWriter object -fourcc = cv2.VideoWriter_fourcc(*'mp4v') -out = cv2.VideoWriter(OUTPUT_VIDEO_PATH, fourcc, frame_rate, (frame_width, frame_height)) - -# Loop through the video frames -while cap.isOpened(): - success, frame = cap.read() - if success: - # Perform inference and plot detections - results = model(frame, verbose=False, conf=0.5) - annotated_frame = results[0].plot() - - # Write annotated frame to the output video - out.write(annotated_frame) - - # Display the annotated frame - cv2.imshow("YOLOv8 Inference", annotated_frame) - - # Handle user input for quitting - if cv2.waitKey(1) & 0xFF == ord("q"): - break - else: - break - -# Release resources -cap.release() -out.release() -cv2.destroyAllWindows() diff --git a/boxingvideo.py b/boxingvideo.py deleted file mode 100644 index 903b767..0000000 --- a/boxingvideo.py +++ /dev/null @@ -1,91 +0,0 @@ -import cv2 -from ultralytics import YOLO -import numpy as np - -# Load the YOLO pose model -model = YOLO("yolov8s-pose.pt") - -# Define the body part indices -body_index = { - "nose": 0, - "left_eye": 1, - "right_eye": 2, - "left_ear": 3, - "right_ear": 4, - "left_shoulder": 5, - "right_shoulder": 6, - "left_elbow": 7, - "right_elbow": 8, - "left_wrist": 9, - "right_wrist": 10, - "left_hip": 11, - "right_hip": 12, - "left_knee": 13, - "right_knee": 14, - "left_ankle": 15, - "right_ankle": 16, -} - -# Video path -video_path = '/Users/pascal/Desktop/boxingvideo.mp4' - -def calculate_distance(a, b): - return np.sqrt((a[0] - b[0]) ** 2 + (a[1] - b[1]) ** 2) - -def check_foul(defender, shooter): - def_parts = ["left_wrist", "right_wrist"] - shoot_parts = [ - "left_shoulder", - "right_shoulder", - "left_elbow", - "right_elbow", - "left_wrist", - "right_wrist", - ] - for dpart in def_parts: - for spart in shoot_parts: - if calculate_distance(defender[dpart], shooter[spart]) < 40: # arbitrary threshold, may need tuning - return True - return False - -# Open the video file -cap = cv2.VideoCapture(video_path) - -while cap.isOpened(): - success, frame = cap.read() - if success: - results = model(frame, verbose=False, conf=0.5) - annotated_frame = results[0].plot() - - if len(results) >= 2: # only check if we have at least two people detected - humans = np.round(results[0].keypoints.numpy(), 1) - shooter, defender = humans[:2] # assuming first person is shooter and second is defender - - # Store body parts for each person - persons = [] - for human in [shooter, defender]: - parts = {} - for part, index in body_index.items(): - try: - parts[part] = human[index] - except: - parts[part] = None - persons.append(parts) - - # Check if foul has occurred - if check_foul(persons[1], persons[0]): - # add blue tint to the frame - blue_frame = cv2.addWeighted( - annotated_frame, 0.7, np.zeros(frame.shape, frame.dtype) + [0, 0, 255], 0.3, 0 - ) - cv2.imshow("Foul Detected", blue_frame) - - cv2.imshow("YOLOv8 Inference", annotated_frame) - - if cv2.waitKey(1) & 0xFF == ord("q"): - break - else: - break - -cap.release() -cv2.destroyAllWindows() diff --git a/classes.txt b/classes.txt deleted file mode 100644 index 7139f0c..0000000 --- a/classes.txt +++ /dev/null @@ -1,80 +0,0 @@ -person -bicycle -car -motorbike -aeroplane -bus -train -truck -boat -traffic light -fire hydrant -stop sign -parking meter -bench -bird -cat -dog -horse -sheep -cow -elephant -bear -zebra -giraffe -backpack -umbrella -handbag -tie -suitcase -frisbee -skis -snowboard -sports ball -kite -baseball bat -baseball glove -skateboard -surfboard -tennis racket -bottle -wine glass -cup -fork -knife -spoon -bowl -banana -apple -sandwich -orange -broccoli -carrot -hot dog -pizza -donut -cake -chair -sofa -pottedplant -bed -diningtable -toilet -tvmonitor -laptop -mouse -remote -keyboard -cell phone -microwave -oven -toaster -sink -refrigerator -book -clock -vase -scissors -teddy bear -hair drier -toothbrush \ No newline at end of file diff --git a/coco-pose.yaml b/coco-pose.yaml deleted file mode 100644 index 670d55b..0000000 --- a/coco-pose.yaml +++ /dev/null @@ -1,38 +0,0 @@ -# Ultralytics YOLO 🚀, AGPL-3.0 license -# COCO 2017 dataset http://cocodataset.org by Microsoft -# Example usage: yolo train data=coco-pose.yaml -# parent -# ├── ultralytics -# └── datasets -# └── coco-pose ← downloads here (20.1 GB) - - -# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] -path: ../datasets/coco-pose # dataset root dir -train: train2017.txt # train images (relative to 'path') 118287 images -val: val2017.txt # val images (relative to 'path') 5000 images -test: test-dev2017.txt # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794 - -# Keypoints -kpt_shape: [17, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible) -flip_idx: [0, 2, 1, 4, 3, 6, 5, 8, 7, 10, 9, 12, 11, 14, 13, 16, 15] - -# Classes -names: - 0: person - -# Download script/URL (optional) -download: | - from ultralytics.utils.downloads import download - from pathlib import Path - - # Download labels - dir = Path(yaml['path']) # dataset root dir - url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/' - urls = [url + 'coco2017labels-pose.zip'] # labels - download(urls, dir=dir.parent) - # Download data - urls = ['http://images.cocodataset.org/zips/train2017.zip', # 19G, 118k images - 'http://images.cocodataset.org/zips/val2017.zip', # 1G, 5k images - 'http://images.cocodataset.org/zips/test2017.zip'] # 7G, 41k images (optional) - download(urls, dir=dir / 'images', threads=3) diff --git a/confusion_matrix.png b/confusion_matrix.png new file mode 100644 index 0000000..8699ed7 Binary files /dev/null and b/confusion_matrix.png differ diff --git a/confusion_matrix_normalized.png b/confusion_matrix_normalized.png new file mode 100644 index 0000000..12a1f9a Binary files /dev/null and b/confusion_matrix_normalized.png differ diff --git a/docs/notebooks/evaluating-alignment-of-text-to-image-diffusion-models.ipynb b/docs/notebooks/evaluating-alignment-of-text-to-image-diffusion-models.ipynb new file mode 100644 index 0000000..fecd663 --- /dev/null +++ b/docs/notebooks/evaluating-alignment-of-text-to-image-diffusion-models.ipynb @@ -0,0 +1,8586 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU", + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "7cf415b9f04e47348f8ccc842ae50d57": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_17ee7402404840f0b9e0c28cab9edd35", + "IPY_MODEL_0c13012d86cf4299a88b080bf3e05b9d", + "IPY_MODEL_0f9ae9a1abf142d29b45dc78aed55f4c" + ], + "layout": "IPY_MODEL_104d14a7b1fd48d6b35494ce03e5b6f8" + } + }, + "17ee7402404840f0b9e0c28cab9edd35": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8be702de5b4d4e2c8d3b350d9449dc63", + "placeholder": "​", + "style": "IPY_MODEL_2cb7899aca8a4451998b97899ae737cb", + "value": "" + } + }, + "0c13012d86cf4299a88b080bf3e05b9d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_05b099c89cbd4242994cde746e66e114", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_eeb1688a8a9a4d0f8fdd7413adf5c3c2", + "value": 0 + } + }, + "0f9ae9a1abf142d29b45dc78aed55f4c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_09dd8e370bb64e578e743ffba71ed8e3", + "placeholder": "​", + "style": "IPY_MODEL_ca842eaa3224480299bc45c3991445ee", + "value": " 0/0 [00:00<?, ?it/s]" + } + }, + "104d14a7b1fd48d6b35494ce03e5b6f8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8be702de5b4d4e2c8d3b350d9449dc63": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2cb7899aca8a4451998b97899ae737cb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "05b099c89cbd4242994cde746e66e114": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "20px" + } + }, + "eeb1688a8a9a4d0f8fdd7413adf5c3c2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "09dd8e370bb64e578e743ffba71ed8e3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ca842eaa3224480299bc45c3991445ee": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d8a380d147ec4f21a9c0bebccc9947a0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_a9dfa764bdd34f40a76580b75917632e", + "IPY_MODEL_5ca1ab3218cc4c21ba150ab0d84e4aec", + "IPY_MODEL_989ed1f9ae284a9c8bd9b5ae3a594619" + ], + "layout": "IPY_MODEL_f29eee81e4e548ad91abd9d17fce7ed8" + } + }, + "a9dfa764bdd34f40a76580b75917632e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8336e28c345c4f11b29449a305036aae", + "placeholder": "​", + "style": "IPY_MODEL_d1a3a849e98844b6bbba52396fe9361d", + "value": "model_index.json: 100%" + } + }, + "5ca1ab3218cc4c21ba150ab0d84e4aec": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fadaf922b73d4da9b499d3926cdad5c5", + "max": 609, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_4d0c7cd2913e4883bf980aca3058d924", + "value": 609 + } + }, + "989ed1f9ae284a9c8bd9b5ae3a594619": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0c50d32713e04890bf9561337ae8dd87", + "placeholder": "​", + "style": "IPY_MODEL_30c17161c44343fd8bafedc5ca0c9aae", + "value": " 609/609 [00:00<00:00, 10.0kB/s]" + } + }, + "f29eee81e4e548ad91abd9d17fce7ed8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8336e28c345c4f11b29449a305036aae": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d1a3a849e98844b6bbba52396fe9361d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "fadaf922b73d4da9b499d3926cdad5c5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4d0c7cd2913e4883bf980aca3058d924": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "0c50d32713e04890bf9561337ae8dd87": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "30c17161c44343fd8bafedc5ca0c9aae": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bd878eee57b0475e8efd622c9d73c38c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_998c28c059b14ece9ba183b9183e1934", + "IPY_MODEL_291beedbbf4646c7b9612e3cc09272a2", + "IPY_MODEL_381e57f5eb3b481b9a0dfe6e5c30e76b" + ], + "layout": "IPY_MODEL_19573b6a87004d86ae6ac15b371d3556" + } + }, + "998c28c059b14ece9ba183b9183e1934": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_26d01b676f2642bab2410bcaa0be1d55", + "placeholder": "​", + "style": "IPY_MODEL_c471e16a43754b30b700dc79a7d19d49", + "value": "Fetching 19 files: 100%" + } + }, + "291beedbbf4646c7b9612e3cc09272a2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9505c841c3af417cb61a615ce586f93b", + "max": 19, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_ad6b2073fec54adca27afca9c0695b5d", + "value": 19 + } + }, + "381e57f5eb3b481b9a0dfe6e5c30e76b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_977b2a45772e476d92d73aef9cc36716", + "placeholder": "​", + "style": "IPY_MODEL_ec3ed592c82b4ebdb5b05cc4370de654", + "value": " 19/19 [00:41<00:00,  2.53s/it]" + } + }, + "19573b6a87004d86ae6ac15b371d3556": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "26d01b676f2642bab2410bcaa0be1d55": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c471e16a43754b30b700dc79a7d19d49": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "9505c841c3af417cb61a615ce586f93b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ad6b2073fec54adca27afca9c0695b5d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "977b2a45772e476d92d73aef9cc36716": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ec3ed592c82b4ebdb5b05cc4370de654": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6810cd2b9f3b45f6aa14073e83a36e4c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_58972226724d45ceb7ee1c0d27de5e46", + "IPY_MODEL_702f0890c8974b56a72d91150700a4dd", + "IPY_MODEL_9d409720b137427da0b5a2610f38f927" + ], + "layout": "IPY_MODEL_68db07115acd4a628362773cee4e5af1" + } + }, + "58972226724d45ceb7ee1c0d27de5e46": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9a7ad9b2d99a41a8b97bb8fa53785e0b", + "placeholder": "​", + "style": "IPY_MODEL_80833c747f344bdfb4286e42313a763d", + "value": "tokenizer/merges.txt: 100%" + } + }, + "702f0890c8974b56a72d91150700a4dd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a24fe389aafa437ba8bdd334c956fada", + "max": 524619, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_e019303fd63846fe86d12fc2b7043a03", + "value": 524619 + } + }, + "9d409720b137427da0b5a2610f38f927": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_00732ae8a37d4a0899592c0d09a2d3e1", + "placeholder": "​", + "style": "IPY_MODEL_971a92c9d58e4e6dae066a25d0f30eab", + "value": " 525k/525k [00:00<00:00, 3.47MB/s]" + } + }, + "68db07115acd4a628362773cee4e5af1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9a7ad9b2d99a41a8b97bb8fa53785e0b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "80833c747f344bdfb4286e42313a763d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a24fe389aafa437ba8bdd334c956fada": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e019303fd63846fe86d12fc2b7043a03": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "00732ae8a37d4a0899592c0d09a2d3e1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "971a92c9d58e4e6dae066a25d0f30eab": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4bbff86f95b5486caed9d570adf8c6aa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_9edbfed93a2a43cea1234b3038489226", + "IPY_MODEL_8692cb258593452db95615500605c646", + "IPY_MODEL_48f0f50f1a2b418f9b0b10ed117bf9bc" + ], + "layout": "IPY_MODEL_b9f1a1d0261f4aaca943e10cf3c1d07a" + } + }, + "9edbfed93a2a43cea1234b3038489226": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5ffe81c826804749ae2d06b4d5342855", + "placeholder": "​", + "style": "IPY_MODEL_ff5f7d1c9ed049bd818ae6649fb774e4", + "value": "model.fp16.safetensors: 100%" + } + }, + "8692cb258593452db95615500605c646": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_df614733903c4d538adfaff57b0f30d3", + "max": 1389382176, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_024202b0761640b8adc708be68767b8e", + "value": 1389382176 + } + }, + "48f0f50f1a2b418f9b0b10ed117bf9bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4f66e423e5114aadaf330417a274c8e8", + "placeholder": "​", + "style": "IPY_MODEL_e4625f1cfdc546b6a790450bd097cfa7", + "value": " 1.39G/1.39G [00:20<00:00, 140MB/s]" + } + }, + "b9f1a1d0261f4aaca943e10cf3c1d07a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5ffe81c826804749ae2d06b4d5342855": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ff5f7d1c9ed049bd818ae6649fb774e4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "df614733903c4d538adfaff57b0f30d3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "024202b0761640b8adc708be68767b8e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "4f66e423e5114aadaf330417a274c8e8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e4625f1cfdc546b6a790450bd097cfa7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "70b6b124c7c04dc096b2b6348d71da63": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_9070387ce4834ef8a1cbe011115e58e1", + "IPY_MODEL_5138a7285b4746aab125431595deb8ff", + "IPY_MODEL_44f4e7908b524b97a20e1791999ac886" + ], + "layout": "IPY_MODEL_4f1928da7a6a4aaab3d9d776e9733e58" + } + }, + "9070387ce4834ef8a1cbe011115e58e1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fc561a0916f24e728761e6ee8b1906e1", + "placeholder": "​", + "style": "IPY_MODEL_53ab44e96e844dfab20af8a9774a1d56", + "value": "text_encoder/config.json: 100%" + } + }, + "5138a7285b4746aab125431595deb8ff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b8568d54623f4b45bfa810311fd85716", + "max": 565, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_572e62c29150454ab322a1889785412f", + "value": 565 + } + }, + "44f4e7908b524b97a20e1791999ac886": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_194416c628174a958484fba4a1cc018e", + "placeholder": "​", + "style": "IPY_MODEL_f2e6a3750b2846f2b23e36b089813f36", + "value": " 565/565 [00:00<00:00, 3.39kB/s]" + } + }, + "4f1928da7a6a4aaab3d9d776e9733e58": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "fc561a0916f24e728761e6ee8b1906e1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "53ab44e96e844dfab20af8a9774a1d56": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b8568d54623f4b45bfa810311fd85716": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "572e62c29150454ab322a1889785412f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "194416c628174a958484fba4a1cc018e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f2e6a3750b2846f2b23e36b089813f36": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bfccd9526760476cba770f2794ad2ca1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_f003de45bdfc45f9b779a1be09f31f02", + "IPY_MODEL_88bbf39997844c83834f8fa2c061a3c8", + "IPY_MODEL_686d71d236544d34a2d1150258c81999" + ], + "layout": "IPY_MODEL_fcb8f1f1f74e4512afe511d74e549dd6" + } + }, + "f003de45bdfc45f9b779a1be09f31f02": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d6ae7757b9a94e5d880a59d64dc8843a", + "placeholder": "​", + "style": "IPY_MODEL_03a2d35f1578488da299c90d8d5deabb", + "value": "tokenizer/special_tokens_map.json: 100%" + } + }, + "88bbf39997844c83834f8fa2c061a3c8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_eb03b3e1698a437498530e27633a98e8", + "max": 472, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_017b0ae0f83e4b569c40874a48970580", + "value": 472 + } + }, + "686d71d236544d34a2d1150258c81999": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_94fdb9424b1b435e828d0b151a62cc81", + "placeholder": "​", + "style": "IPY_MODEL_78492be8740e4b6297bf3bb4621fbc7c", + "value": " 472/472 [00:00<00:00, 4.29kB/s]" + } + }, + "fcb8f1f1f74e4512afe511d74e549dd6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d6ae7757b9a94e5d880a59d64dc8843a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "03a2d35f1578488da299c90d8d5deabb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "eb03b3e1698a437498530e27633a98e8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "017b0ae0f83e4b569c40874a48970580": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "94fdb9424b1b435e828d0b151a62cc81": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "78492be8740e4b6297bf3bb4621fbc7c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f77194796ec74116bb5fde39f24c5c2b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_99d3e3c2474d46839dab081f8264bf36", + "IPY_MODEL_3180018b13d34681aca07313315b004a", + "IPY_MODEL_7f7cb8d400504c15869e598fffe8a343" + ], + "layout": "IPY_MODEL_6565b940d953495fa66118ae692df124" + } + }, + "99d3e3c2474d46839dab081f8264bf36": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e770bb79e512487c832bf52927528697", + "placeholder": "​", + "style": "IPY_MODEL_77eea4a648244b38b21e060c23a35545", + "value": "scheduler/scheduler_config.json: 100%" + } + }, + "3180018b13d34681aca07313315b004a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1633927d5f7f4bcebdbc1cd61fcf0559", + "max": 479, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_e34de6c5fac341f7afcf301c25893424", + "value": 479 + } + }, + "7f7cb8d400504c15869e598fffe8a343": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_001f2ec02bc7456d9a6555c466cd2403", + "placeholder": "​", + "style": "IPY_MODEL_a92f07570f9042cfab3b1975428da0d7", + "value": " 479/479 [00:00<00:00, 3.40kB/s]" + } + }, + "6565b940d953495fa66118ae692df124": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e770bb79e512487c832bf52927528697": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "77eea4a648244b38b21e060c23a35545": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1633927d5f7f4bcebdbc1cd61fcf0559": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e34de6c5fac341f7afcf301c25893424": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "001f2ec02bc7456d9a6555c466cd2403": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a92f07570f9042cfab3b1975428da0d7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "742067818cd042e2b953724eb1f8ef47": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_442ebe4e646a4a4a85ba2a3370f22465", + "IPY_MODEL_843f01c3561c48a4ac5579affa0589a5", + "IPY_MODEL_1403bdedc867494885be431b58c845f9" + ], + "layout": "IPY_MODEL_b7fc958d6ceb47f1b880f02fc55506e0" + } + }, + "442ebe4e646a4a4a85ba2a3370f22465": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d14f4ff0d1d443999a0e93d6e79817f9", + "placeholder": "​", + "style": "IPY_MODEL_9d80c7e480aa4152b282145f88f4630a", + "value": "text_encoder_2/config.json: 100%" + } + }, + "843f01c3561c48a4ac5579affa0589a5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_41936609124c4ab9a27114d3edbacb97", + "max": 575, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_8397b6d5d15d4ed7b19bd8420f151c02", + "value": 575 + } + }, + "1403bdedc867494885be431b58c845f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_64b0ce76f4204f62b822e73797394682", + "placeholder": "​", + "style": "IPY_MODEL_d2ffa463412a4a8fb3dfec0924daf946", + "value": " 575/575 [00:00<00:00, 4.53kB/s]" + } + }, + "b7fc958d6ceb47f1b880f02fc55506e0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d14f4ff0d1d443999a0e93d6e79817f9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9d80c7e480aa4152b282145f88f4630a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "41936609124c4ab9a27114d3edbacb97": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8397b6d5d15d4ed7b19bd8420f151c02": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "64b0ce76f4204f62b822e73797394682": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d2ffa463412a4a8fb3dfec0924daf946": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "51f8f4a977904163a467c1d75148665d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_5d4a78d09b5a4c979fc45b97fa78c13a", + "IPY_MODEL_b8b453fbb8f144f1b2125cbd1a8ca7eb", + "IPY_MODEL_4d09c6369eef421c93bf7d84c6a80c2c" + ], + "layout": "IPY_MODEL_fb6d9a3b96034a428fe073d024ad8f25" + } + }, + "5d4a78d09b5a4c979fc45b97fa78c13a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7e4306def14e4a84b605057905bc41ec", + "placeholder": "​", + "style": "IPY_MODEL_a0831918ad4e43e2bff292369b8a9439", + "value": "tokenizer/tokenizer_config.json: 100%" + } + }, + "b8b453fbb8f144f1b2125cbd1a8ca7eb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1391c03646094103a12ea98e5ada7c25", + "max": 737, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_7bdf470ac071496f9d28a444eca8b429", + "value": 737 + } + }, + "4d09c6369eef421c93bf7d84c6a80c2c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3d64a5229ddf4a3ca1e3343d14beff7f", + "placeholder": "​", + "style": "IPY_MODEL_5204acc796a74307bb5d07d61ab6e53c", + "value": " 737/737 [00:00<00:00, 7.03kB/s]" + } + }, + "fb6d9a3b96034a428fe073d024ad8f25": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7e4306def14e4a84b605057905bc41ec": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a0831918ad4e43e2bff292369b8a9439": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1391c03646094103a12ea98e5ada7c25": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7bdf470ac071496f9d28a444eca8b429": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "3d64a5229ddf4a3ca1e3343d14beff7f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5204acc796a74307bb5d07d61ab6e53c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c44b834d60c24f698a5e4acbc823c6bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7cf559d35dff456aad057e6c21a714cb", + "IPY_MODEL_56f60d571f4740448518da6d57a84263", + "IPY_MODEL_db984adb251548e5ba75c477673b752a" + ], + "layout": "IPY_MODEL_7fb97cff07fb4f5cbb99377e149bd847" + } + }, + "7cf559d35dff456aad057e6c21a714cb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_35bc27f46ed8472d9a15a1b9ab27e019", + "placeholder": "​", + "style": "IPY_MODEL_a2739a9edd814840a6e546c4654eca85", + "value": "model.fp16.safetensors: 100%" + } + }, + "56f60d571f4740448518da6d57a84263": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_787a402d0f28480fb77e438181d5b6e9", + "max": 246144152, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_cfe41ce57586426d8248a72b5ca5db75", + "value": 246144152 + } + }, + "db984adb251548e5ba75c477673b752a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_31fc8eb24c6146c8b99530c5e09529a8", + "placeholder": "​", + "style": "IPY_MODEL_eb9d7ca302664233873e62ffeaafea2a", + "value": " 246M/246M [00:09<00:00, 8.69MB/s]" + } + }, + "7fb97cff07fb4f5cbb99377e149bd847": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "35bc27f46ed8472d9a15a1b9ab27e019": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a2739a9edd814840a6e546c4654eca85": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "787a402d0f28480fb77e438181d5b6e9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "cfe41ce57586426d8248a72b5ca5db75": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "31fc8eb24c6146c8b99530c5e09529a8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "eb9d7ca302664233873e62ffeaafea2a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2a758d1c136d4d7c82f758af3fa0a0d9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7a79cb189399442b91fcbd9494a09aa8", + "IPY_MODEL_8f65888686ac4abd81e3b66d23df1437", + "IPY_MODEL_685b6a66a68f40049914bffd97e2d3f4" + ], + "layout": "IPY_MODEL_51988e9134534612acd90c15907a1457" + } + }, + "7a79cb189399442b91fcbd9494a09aa8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b517f7776bb6480498ce3b30c4109998", + "placeholder": "​", + "style": "IPY_MODEL_26032aacc9544d0a8e0de077f081d753", + "value": "tokenizer_2/special_tokens_map.json: 100%" + } + }, + "8f65888686ac4abd81e3b66d23df1437": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e2783916271743d6bd82819b54ef7e04", + "max": 460, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_4ecfee6f9cf84f52967999d6329e787d", + "value": 460 + } + }, + "685b6a66a68f40049914bffd97e2d3f4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a5c8f86185e548058aeaf2eee749168e", + "placeholder": "​", + "style": "IPY_MODEL_e73acdfbb45d447b93c56f98a45de609", + "value": " 460/460 [00:00<00:00, 4.45kB/s]" + } + }, + "51988e9134534612acd90c15907a1457": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b517f7776bb6480498ce3b30c4109998": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "26032aacc9544d0a8e0de077f081d753": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e2783916271743d6bd82819b54ef7e04": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4ecfee6f9cf84f52967999d6329e787d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "a5c8f86185e548058aeaf2eee749168e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e73acdfbb45d447b93c56f98a45de609": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "dd32a8cf9c144e1284deef3adeeaf96f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_198c8a159b9f4c5daf23c722fcce1ce7", + "IPY_MODEL_7527b39491314b41b2109f41115992ca", + "IPY_MODEL_89aba37e034148f9b637624a9f398920" + ], + "layout": "IPY_MODEL_d96bc217532045298b07c3a1e3fdce91" + } + }, + "198c8a159b9f4c5daf23c722fcce1ce7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_23f03892e10e4c8a86b51439725e3d4e", + "placeholder": "​", + "style": "IPY_MODEL_52e1901aec7446cfa87ebe668ce2a4d0", + "value": "tokenizer_2/vocab.json: 100%" + } + }, + "7527b39491314b41b2109f41115992ca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c6be32cb2d234056a625367d6d29d425", + "max": 1059962, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_ea0352e34f934826951620e515ae5cc5", + "value": 1059962 + } + }, + "89aba37e034148f9b637624a9f398920": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_70363c1a41b142a0a8f03df73fb17fdf", + "placeholder": "​", + "style": "IPY_MODEL_8abbe11c2e8348ae91a30a110a847ff3", + "value": " 1.06M/1.06M [00:00<00:00, 4.02MB/s]" + } + }, + "d96bc217532045298b07c3a1e3fdce91": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "23f03892e10e4c8a86b51439725e3d4e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "52e1901aec7446cfa87ebe668ce2a4d0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c6be32cb2d234056a625367d6d29d425": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ea0352e34f934826951620e515ae5cc5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "70363c1a41b142a0a8f03df73fb17fdf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8abbe11c2e8348ae91a30a110a847ff3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "194e90ad32a44387b5527e07f454409e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_43cec1eb11bf4359bc1478299d70579f", + "IPY_MODEL_993499f28c514123be90673ff33d9009", + "IPY_MODEL_f50e4c9ea71f42a2b2a43a9d30c4552b" + ], + "layout": "IPY_MODEL_1cfc9279e3d741f79c4d9beb7a4a67f6" + } + }, + "43cec1eb11bf4359bc1478299d70579f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4a1a2139de6f4b7e8f1706bbaafc9ccd", + "placeholder": "​", + "style": "IPY_MODEL_9dbd67a393ea4222a3ea4e83141d8431", + "value": "unet/config.json: 100%" + } + }, + "993499f28c514123be90673ff33d9009": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_41061e0e2f0b4a50aff949838071fc17", + "max": 1680, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_aa95b4eb59bc478c905c4c1cead3f781", + "value": 1680 + } + }, + "f50e4c9ea71f42a2b2a43a9d30c4552b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3847606649364672884e6aa3d6271f1f", + "placeholder": "​", + "style": "IPY_MODEL_9db820f14c534bf8ac686418ca325769", + "value": " 1.68k/1.68k [00:00<00:00, 18.5kB/s]" + } + }, + "1cfc9279e3d741f79c4d9beb7a4a67f6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4a1a2139de6f4b7e8f1706bbaafc9ccd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9dbd67a393ea4222a3ea4e83141d8431": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "41061e0e2f0b4a50aff949838071fc17": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "aa95b4eb59bc478c905c4c1cead3f781": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "3847606649364672884e6aa3d6271f1f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9db820f14c534bf8ac686418ca325769": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "78c7f4fcea0e441a9c271e9fdee03168": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_6ed03a2e2122467d8b19f88ac1e9634f", + "IPY_MODEL_7c4f6b8a446a4e0a83d21fd9b7432450", + "IPY_MODEL_33445bf4f77d4b2db3447786e3f1fedc" + ], + "layout": "IPY_MODEL_fe35be6366ac4ce19d586cb3c462119e" + } + }, + "6ed03a2e2122467d8b19f88ac1e9634f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6a6657b7af824ac2bfdf7493112a431c", + "placeholder": "​", + "style": "IPY_MODEL_bae3b12f6bd94ea796762554e2c1d2d6", + "value": "tokenizer_2/tokenizer_config.json: 100%" + } + }, + "7c4f6b8a446a4e0a83d21fd9b7432450": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6475cdcdb7d34874a0f741b68df8cd1a", + "max": 725, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_0f5c079aef044cd88f4e19c1758940f7", + "value": 725 + } + }, + "33445bf4f77d4b2db3447786e3f1fedc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_17d8382510ea4b04b54c532ec206845f", + "placeholder": "​", + "style": "IPY_MODEL_57626246bda048d99f7ed3ae11fe14cd", + "value": " 725/725 [00:00<00:00, 6.56kB/s]" + } + }, + "fe35be6366ac4ce19d586cb3c462119e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6a6657b7af824ac2bfdf7493112a431c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "bae3b12f6bd94ea796762554e2c1d2d6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6475cdcdb7d34874a0f741b68df8cd1a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0f5c079aef044cd88f4e19c1758940f7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "17d8382510ea4b04b54c532ec206845f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "57626246bda048d99f7ed3ae11fe14cd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8009bb7cc3e04cbe944c401c8d74c0cc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_3c9badb3816941418855640181640cff", + "IPY_MODEL_71da2fdbfc10427c8e1dd77c551eebf3", + "IPY_MODEL_4b8cdc698dd14a4db1687b1ab47140aa" + ], + "layout": "IPY_MODEL_5967f0f3fa4e4376b6568f5afc211d28" + } + }, + "3c9badb3816941418855640181640cff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3e9762ab88eb446b9be22c4eb8b01e62", + "placeholder": "​", + "style": "IPY_MODEL_b0660645f0f9483fb2ad6267f0809874", + "value": "vae/config.json: 100%" + } + }, + "71da2fdbfc10427c8e1dd77c551eebf3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9ad4dff44f544c9580f2b19a12c01ae5", + "max": 642, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b7e8abd908ab416a930f9cabce7cb48d", + "value": 642 + } + }, + "4b8cdc698dd14a4db1687b1ab47140aa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bd23148b789a4f49830d72611b70220d", + "placeholder": "​", + "style": "IPY_MODEL_2259b0c56135468c943f27fd5ecc8db9", + "value": " 642/642 [00:00<00:00, 5.82kB/s]" + } + }, + "5967f0f3fa4e4376b6568f5afc211d28": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3e9762ab88eb446b9be22c4eb8b01e62": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b0660645f0f9483fb2ad6267f0809874": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "9ad4dff44f544c9580f2b19a12c01ae5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b7e8abd908ab416a930f9cabce7cb48d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "bd23148b789a4f49830d72611b70220d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2259b0c56135468c943f27fd5ecc8db9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bf199fa35bd747838a0201eca2fe5216": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_891cf24185a648cc9eb7f690698a7b9f", + "IPY_MODEL_5be81f4c5bc140bf930b83223b0a32e8", + "IPY_MODEL_1521d372863d41caa39a89b731956aea" + ], + "layout": "IPY_MODEL_fdbeeddb6d054735ad1a9c9c919cc466" + } + }, + "891cf24185a648cc9eb7f690698a7b9f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ea5bb514903344c3ad3011d04a87340f", + "placeholder": "​", + "style": "IPY_MODEL_85238d7be961400d9a9fa3ef35a1cc50", + "value": "diffusion_pytorch_model.fp16.safetensors: 100%" + } + }, + "5be81f4c5bc140bf930b83223b0a32e8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7d377c73fc5b4bfa9ee882b34c8433e3", + "max": 5135149760, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_f3f725f7f91643fa8793421ab6f2a896", + "value": 5135149760 + } + }, + "1521d372863d41caa39a89b731956aea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f605fdfd6ec043d4b1e02035a7d49586", + "placeholder": "​", + "style": "IPY_MODEL_b82a8b64dc804a0683cf336824f968c7", + "value": " 5.14G/5.14G [00:39<00:00, 260MB/s]" + } + }, + "fdbeeddb6d054735ad1a9c9c919cc466": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ea5bb514903344c3ad3011d04a87340f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "85238d7be961400d9a9fa3ef35a1cc50": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "7d377c73fc5b4bfa9ee882b34c8433e3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f3f725f7f91643fa8793421ab6f2a896": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "f605fdfd6ec043d4b1e02035a7d49586": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b82a8b64dc804a0683cf336824f968c7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "346603a3cae74fa4bfa46140bc56a4c0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_66486728c4f24bb9bcb72b45660f774c", + "IPY_MODEL_8c94670a38a54179a91b7dc485c02bd2", + "IPY_MODEL_299d635aa427481a825dc7ebb231b142" + ], + "layout": "IPY_MODEL_8132f2efad3644ec896fe8100b16d55f" + } + }, + "66486728c4f24bb9bcb72b45660f774c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b4df993a95b948d1b4fcbf85162ae61b", + "placeholder": "​", + "style": "IPY_MODEL_6e212ac15659450ca932c23ccd8df127", + "value": "diffusion_pytorch_model.fp16.safetensors: 100%" + } + }, + "8c94670a38a54179a91b7dc485c02bd2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6881e1a4b9eb4ba1a49f43ab75b0575a", + "max": 167335342, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b5eee63f959e4801ab0cf170774301dd", + "value": 167335342 + } + }, + "299d635aa427481a825dc7ebb231b142": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_231d6f7adf9a426bbb966ae534dff145", + "placeholder": "​", + "style": "IPY_MODEL_f49fe2cbb3f34410b478dba20ca13ea6", + "value": " 167M/167M [00:07<00:00, 8.45MB/s]" + } + }, + "8132f2efad3644ec896fe8100b16d55f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b4df993a95b948d1b4fcbf85162ae61b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6e212ac15659450ca932c23ccd8df127": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6881e1a4b9eb4ba1a49f43ab75b0575a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b5eee63f959e4801ab0cf170774301dd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "231d6f7adf9a426bbb966ae534dff145": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f49fe2cbb3f34410b478dba20ca13ea6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "adaa3d8f990f400a97e5e55c6cf327b3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_8ab92008b9234d6080af40fc59c3232b", + "IPY_MODEL_ade3c7c45e5247dfb19925edc9e0475f", + "IPY_MODEL_13938a9d553a46b4a1b545913bf0cb0e" + ], + "layout": "IPY_MODEL_1faebdfd312d49f8ba1ee47b7865caed" + } + }, + "8ab92008b9234d6080af40fc59c3232b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_451ab31adeb14a26bd89bc576ef42431", + "placeholder": "​", + "style": "IPY_MODEL_7570dce695f547f084591384d861cf8e", + "value": "diffusion_pytorch_model.fp16.safetensors: 100%" + } + }, + "ade3c7c45e5247dfb19925edc9e0475f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4a137959ce6143b596be02f8d342a34c", + "max": 167335342, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b2cb49646a514c0ea0eb1af876d08e02", + "value": 167335342 + } + }, + "13938a9d553a46b4a1b545913bf0cb0e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_cdab8239e91c420d8c0842282e4cb0e8", + "placeholder": "​", + "style": "IPY_MODEL_8153a72cee4a4ee79c2363dcc8d084ca", + "value": " 167M/167M [00:07<00:00, 8.76MB/s]" + } + }, + "1faebdfd312d49f8ba1ee47b7865caed": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "451ab31adeb14a26bd89bc576ef42431": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7570dce695f547f084591384d861cf8e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4a137959ce6143b596be02f8d342a34c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b2cb49646a514c0ea0eb1af876d08e02": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "cdab8239e91c420d8c0842282e4cb0e8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8153a72cee4a4ee79c2363dcc8d084ca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2dac8f4df41b49269431b0ffdc394c05": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_ad66099d2db94499828775873304d78d", + "IPY_MODEL_f7e08a6542824987af97fb4a11590284", + "IPY_MODEL_704fec75331141f58b3c697e4c5d5a2e" + ], + "layout": "IPY_MODEL_cb7324c766e441bd927dd08e44625d97" + } + }, + "ad66099d2db94499828775873304d78d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9536385a35cb46d49cd7a63632a619e6", + "placeholder": "​", + "style": "IPY_MODEL_471663dd2cc745a987b1f5bef1983f38", + "value": "Loading pipeline components...: 100%" + } + }, + "f7e08a6542824987af97fb4a11590284": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3987933b6f1d44ae8f8f04e6d7393dcd", + "max": 7, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_99e3c343742841fc915f245d8620f364", + "value": 7 + } + }, + "704fec75331141f58b3c697e4c5d5a2e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a594c3adb768445ca67d2106960b63c0", + "placeholder": "​", + "style": "IPY_MODEL_3d62ea58de61421287d644367588073e", + "value": " 7/7 [00:03<00:00,  2.33it/s]" + } + }, + "cb7324c766e441bd927dd08e44625d97": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9536385a35cb46d49cd7a63632a619e6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "471663dd2cc745a987b1f5bef1983f38": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3987933b6f1d44ae8f8f04e6d7393dcd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "99e3c343742841fc915f245d8620f364": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "a594c3adb768445ca67d2106960b63c0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3d62ea58de61421287d644367588073e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "ad0cf61f71754ca0964b83a05a03d501": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_9424d390410647b6b37f0cb9a1a5bb9e", + "IPY_MODEL_511f0da5bafc40a9b1d22c3a06ed3a21", + "IPY_MODEL_472c18008de943e5a9536c0ddb9de506" + ], + "layout": "IPY_MODEL_c946edd8819a413a9897893382d1c36b" + } + }, + "9424d390410647b6b37f0cb9a1a5bb9e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_feacbc077d7d4c5599875fda8de84024", + "placeholder": "​", + "style": "IPY_MODEL_da3e36c761c541ef87871f7fb8fb808e", + "value": "100%" + } + }, + "511f0da5bafc40a9b1d22c3a06ed3a21": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_732a66a677b94a6182c4f75b119f8397", + "max": 50, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_352c88d223c54ae7a4a9a7c414dbe493", + "value": 50 + } + }, + "472c18008de943e5a9536c0ddb9de506": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_27103d45156e4cfa968b4fd00e7a178e", + "placeholder": "​", + "style": "IPY_MODEL_d48f2d5551804f48ac7bfb95a4c12a6c", + "value": " 50/50 [00:29<00:00,  1.62it/s]" + } + }, + "c946edd8819a413a9897893382d1c36b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "feacbc077d7d4c5599875fda8de84024": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "da3e36c761c541ef87871f7fb8fb808e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "732a66a677b94a6182c4f75b119f8397": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "352c88d223c54ae7a4a9a7c414dbe493": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "27103d45156e4cfa968b4fd00e7a178e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d48f2d5551804f48ac7bfb95a4c12a6c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + } + } + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Evaluating Alignment of Text-to-image Diffusion Models\n", + "\n", + "---\n", + "\n", + "[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/roboflow/supervision/blob/develop/docs/notebooks/evaluating-alignment-of-text-to-image-diffusion-models.ipynb)\n", + "\n", + "Click the `Open in Colab` button to run the cookbook on Google Colab." + ], + "metadata": { + "id": "pviK1VFFNp8h" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Introduction\n", + "\n", + "It is a common scenario to evaluate text-to-image models for its alignment to the prompt. One way to test it is to use a set of prompts, consisting of number of objects and their basic physical properties (e.g. color), to generate images and manually evaluate the results. This process can be greatly improved using object detection models." + ], + "metadata": { + "id": "FtZXoFjPt569" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Before you start\n", + "\n", + "Let's make sure that we have access to GPU. We can use `nvidia-smi` command to do that. In case of any problems navigate to `Edit` -> `Notebook settings` -> `Hardware accelerator`, set it to `GPU`, and then click `Save`." + ], + "metadata": { + "id": "1yOkAwH-UYPM" + } + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MVfLwWd8D1ne", + "outputId": "78024e23-cf1c-40e8-c055-e811d7c55a55" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Wed Jun 12 12:59:05 2024 \n", + "+---------------------------------------------------------------------------------------+\n", + "| NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 |\n", + "|-----------------------------------------+----------------------+----------------------+\n", + "| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n", + "| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n", + "| | | MIG M. |\n", + "|=========================================+======================+======================|\n", + "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n", + "| N/A 45C P8 9W / 70W | 0MiB / 15360MiB | 0% Default |\n", + "| | | N/A |\n", + "+-----------------------------------------+----------------------+----------------------+\n", + " \n", + "+---------------------------------------------------------------------------------------+\n", + "| Processes: |\n", + "| GPU GI CI PID Type Process name GPU Memory |\n", + "| ID ID Usage |\n", + "|=======================================================================================|\n", + "| No running processes found |\n", + "+---------------------------------------------------------------------------------------+\n" + ] + } + ], + "source": [ + "!nvidia-smi" + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Install required packages\n", + "\n", + "In this cookbook, we'll leverage the following Python packages:\n", + "* [diffusers](https://huggingface.co/docs/diffusers/en/index) for image generation pipelines,\n", + "* [inference](https://inference.roboflow.com/) for running object detection,\n", + "* [supervision](https://supervision.roboflow.com/) for visualizing detections." + ], + "metadata": { + "id": "xg5JFGa4UjZq" + } + }, + { + "cell_type": "code", + "source": [ + "!pip install -q torch diffusers accelerate inference-gpu[yolo-world] dill git+https://github.com/openai/CLIP.git supervision==0.19.0rc5" + ], + "metadata": { + "id": "ri8GPZ3SD7LT", + "outputId": "c7ac9fd2-bfe2-4538-b0df-01b25c1677cf", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.2/2.2 MB\u001b[0m \u001b[31m23.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m309.4/309.4 kB\u001b[0m \u001b[31m30.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m412.5/412.5 kB\u001b[0m \u001b[31m35.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m15.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m94.2/94.2 kB\u001b[0m \u001b[31m13.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.3/21.3 MB\u001b[0m \u001b[31m70.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m59.2/59.2 kB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.6/3.6 MB\u001b[0m \u001b[31m66.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m91.8/91.8 kB\u001b[0m \u001b[31m13.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m252.0/252.0 kB\u001b[0m \u001b[31m32.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m239.7/239.7 kB\u001b[0m \u001b[31m28.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m63.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m66.0/66.0 kB\u001b[0m \u001b[31m9.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.5/54.5 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m325.5/325.5 kB\u001b[0m \u001b[31m38.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m65.8/65.8 kB\u001b[0m \u001b[31m10.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m940.0/940.0 kB\u001b[0m \u001b[31m70.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.8/135.8 kB\u001b[0m \u001b[31m18.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m121.6/121.6 MB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m148.1/148.1 kB\u001b[0m \u001b[31m21.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.9/45.9 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m906.0/906.0 kB\u001b[0m \u001b[31m62.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m780.6/780.6 kB\u001b[0m \u001b[31m49.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.4/1.4 MB\u001b[0m \u001b[31m55.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.4/54.4 kB\u001b[0m \u001b[31m7.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m384.9/384.9 kB\u001b[0m \u001b[31m40.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.7/17.7 MB\u001b[0m \u001b[31m67.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m143.8/143.8 kB\u001b[0m \u001b[31m19.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m28.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.3/12.3 MB\u001b[0m \u001b[31m106.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m109.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m79.8/79.8 kB\u001b[0m \u001b[31m9.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.2/49.2 kB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.9/71.9 kB\u001b[0m \u001b[31m10.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.6/75.6 kB\u001b[0m \u001b[31m12.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m103.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m111.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m98.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m93.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m13.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m100.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m104.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m98.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m653.3 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m89.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m110.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m26.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m36.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m78.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m92.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m74.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m108.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m97.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m98.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m97.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m101.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m110.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m104.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m85.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m101.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m103.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m101.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m102.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m101.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m11.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m86.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m67.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m74.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m77.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m60.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m71.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m70.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m37.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m102.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m102.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m104.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m100.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m98.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m108.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m92.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m43.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m106.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m6.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m74.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m58.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m101.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m111.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m100.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m2.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m79.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m101.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m90.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m100.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m71.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m87.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m3.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m69.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m94.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m90.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m96.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m36.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m83.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m100.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m90.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m88.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m77.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m77.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m97.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m101.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m96.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m47.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m80.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m68.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m59.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m80.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m97.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m92.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m80.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h\u001b[33m WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out. (read timeout=15)\")': /packages/06/de/c3f8f28c2e62c4094fefe831ad65fb0d614b387807d4449d4fbfe317117a/awscli-1.32.35-py3-none-any.whl\u001b[0m\u001b[33m\n", + "\u001b[0m\u001b[33m WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out. (read timeout=15)\")': /packages/06/de/c3f8f28c2e62c4094fefe831ad65fb0d614b387807d4449d4fbfe317117a/awscli-1.32.35-py3-none-any.whl\u001b[0m\u001b[33m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m45.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m70.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m95.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m88.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m31.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m98.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m102.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m43.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m95.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m93.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m85.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m90.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m69.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m89.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m80.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m65.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m70.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m73.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m69.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m25.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m68.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m105.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m90.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m100.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m98.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m75.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m98.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m69.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m102.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m20.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m97.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m105.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m71.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m70.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m15.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m45.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m101.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m93.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m98.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m98.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m82.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m91.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m109.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m43.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m96.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m67.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m90.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m102.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m63.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m12.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m108.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m96.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m86.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m70.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m73.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m98.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m108.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m77.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m80.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m548.2/548.2 kB\u001b[0m \u001b[31m41.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m80.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m68.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m64.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m12.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m100.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m79.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m45.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m87.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m50.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m87.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m98.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m79.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m86.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m90.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m42.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m97.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m30.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m18.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m103.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m112.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m105.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m85.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m104.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m108.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m90.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m85.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m88.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m99.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m102.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m16.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m100.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m107.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m105.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m99.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m50.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m61.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m96.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m95.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m105.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m89.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m102.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m21.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m64.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.3/11.3 MB\u001b[0m \u001b[31m45.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m36.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.2/11.2 MB\u001b[0m \u001b[31m23.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m94.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.2/11.2 MB\u001b[0m \u001b[31m97.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m70.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.2/11.2 MB\u001b[0m \u001b[31m98.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m89.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.2/11.2 MB\u001b[0m \u001b[31m83.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m14.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.2/11.2 MB\u001b[0m \u001b[31m18.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m58.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.2/11.2 MB\u001b[0m \u001b[31m95.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m93.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.2/11.2 MB\u001b[0m \u001b[31m95.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m97.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.2/11.2 MB\u001b[0m \u001b[31m102.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m101.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.2/11.2 MB\u001b[0m \u001b[31m109.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m77.9/77.9 kB\u001b[0m \u001b[31m11.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m9.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m12.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h Building wheel for clip (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Building wheel for GPUtil (setup.py) ... \u001b[?25l\u001b[?25hdone\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Imports" + ], + "metadata": { + "id": "U0qBpU5YU3P9" + } + }, + { + "cell_type": "code", + "source": [ + "import itertools\n", + "import cv2\n", + "from diffusers import StableDiffusionXLPipeline\n", + "import numpy as np\n", + "from PIL import Image\n", + "import supervision as sv\n", + "import torch\n", + "from inference.models import YOLOWorld" + ], + "metadata": { + "id": "sBKUQMdwJTv1", + "outputId": "bbda02da-a590-4011-8bbd-29285e362d0e", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 121, + "referenced_widgets": [ + "7cf415b9f04e47348f8ccc842ae50d57", + "17ee7402404840f0b9e0c28cab9edd35", + "0c13012d86cf4299a88b080bf3e05b9d", + "0f9ae9a1abf142d29b45dc78aed55f4c", + "104d14a7b1fd48d6b35494ce03e5b6f8", + "8be702de5b4d4e2c8d3b350d9449dc63", + "2cb7899aca8a4451998b97899ae737cb", + "05b099c89cbd4242994cde746e66e114", + "eeb1688a8a9a4d0f8fdd7413adf5c3c2", + "09dd8e370bb64e578e743ffba71ed8e3", + "ca842eaa3224480299bc45c3991445ee" + ] + } + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "0it [00:00, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "7cf415b9f04e47348f8ccc842ae50d57" + } + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/diffusers/models/transformers/transformer_2d.py:34: FutureWarning: `Transformer2DModelOutput` is deprecated and will be removed in version 1.0.0. Importing `Transformer2DModelOutput` from `diffusers.models.transformer_2d` is deprecated and this will be removed in a future version. Please use `from diffusers.models.modeling_outputs import Transformer2DModelOutput`, instead.\n", + " deprecate(\"Transformer2DModelOutput\", \"1.0.0\", deprecation_message)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Generating an image\n", + "\n", + "We'll use [SDXL](https://huggingface.co/docs/diffusers/using-diffusers/sdxl) model to generate our image. Let's initialize our pipeline first:" + ], + "metadata": { + "id": "ZzEhndAyU_EF" + } + }, + { + "cell_type": "code", + "source": [ + "pipeline = StableDiffusionXLPipeline.from_pretrained(\n", + " \"stabilityai/stable-diffusion-xl-base-1.0\",\n", + " torch_dtype=torch.float16,\n", + " variant=\"fp16\",\n", + " use_safetensors=True,\n", + ").to(\"cuda\")" + ], + "metadata": { + "id": "qCwxwGcuEHJ-", + "outputId": "07f47e1c-9d63-4d31-a2f8-3566fb75b866", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 732, + "referenced_widgets": [ + "d8a380d147ec4f21a9c0bebccc9947a0", + "a9dfa764bdd34f40a76580b75917632e", + "5ca1ab3218cc4c21ba150ab0d84e4aec", + "989ed1f9ae284a9c8bd9b5ae3a594619", + "f29eee81e4e548ad91abd9d17fce7ed8", + "8336e28c345c4f11b29449a305036aae", + "d1a3a849e98844b6bbba52396fe9361d", + "fadaf922b73d4da9b499d3926cdad5c5", + "4d0c7cd2913e4883bf980aca3058d924", + "0c50d32713e04890bf9561337ae8dd87", + "30c17161c44343fd8bafedc5ca0c9aae", + "bd878eee57b0475e8efd622c9d73c38c", + "998c28c059b14ece9ba183b9183e1934", + "291beedbbf4646c7b9612e3cc09272a2", + "381e57f5eb3b481b9a0dfe6e5c30e76b", + "19573b6a87004d86ae6ac15b371d3556", + "26d01b676f2642bab2410bcaa0be1d55", + "c471e16a43754b30b700dc79a7d19d49", + "9505c841c3af417cb61a615ce586f93b", + "ad6b2073fec54adca27afca9c0695b5d", + "977b2a45772e476d92d73aef9cc36716", + "ec3ed592c82b4ebdb5b05cc4370de654", + "6810cd2b9f3b45f6aa14073e83a36e4c", + "58972226724d45ceb7ee1c0d27de5e46", + "702f0890c8974b56a72d91150700a4dd", + "9d409720b137427da0b5a2610f38f927", + "68db07115acd4a628362773cee4e5af1", + "9a7ad9b2d99a41a8b97bb8fa53785e0b", + "80833c747f344bdfb4286e42313a763d", + "a24fe389aafa437ba8bdd334c956fada", + "e019303fd63846fe86d12fc2b7043a03", + "00732ae8a37d4a0899592c0d09a2d3e1", + "971a92c9d58e4e6dae066a25d0f30eab", + "4bbff86f95b5486caed9d570adf8c6aa", + "9edbfed93a2a43cea1234b3038489226", + "8692cb258593452db95615500605c646", + "48f0f50f1a2b418f9b0b10ed117bf9bc", + "b9f1a1d0261f4aaca943e10cf3c1d07a", + "5ffe81c826804749ae2d06b4d5342855", + "ff5f7d1c9ed049bd818ae6649fb774e4", + "df614733903c4d538adfaff57b0f30d3", + "024202b0761640b8adc708be68767b8e", + "4f66e423e5114aadaf330417a274c8e8", + "e4625f1cfdc546b6a790450bd097cfa7", + "70b6b124c7c04dc096b2b6348d71da63", + "9070387ce4834ef8a1cbe011115e58e1", + "5138a7285b4746aab125431595deb8ff", + "44f4e7908b524b97a20e1791999ac886", + "4f1928da7a6a4aaab3d9d776e9733e58", + "fc561a0916f24e728761e6ee8b1906e1", + "53ab44e96e844dfab20af8a9774a1d56", + "b8568d54623f4b45bfa810311fd85716", + "572e62c29150454ab322a1889785412f", + "194416c628174a958484fba4a1cc018e", + "f2e6a3750b2846f2b23e36b089813f36", + "bfccd9526760476cba770f2794ad2ca1", + "f003de45bdfc45f9b779a1be09f31f02", + "88bbf39997844c83834f8fa2c061a3c8", + "686d71d236544d34a2d1150258c81999", + "fcb8f1f1f74e4512afe511d74e549dd6", + "d6ae7757b9a94e5d880a59d64dc8843a", + "03a2d35f1578488da299c90d8d5deabb", + "eb03b3e1698a437498530e27633a98e8", + "017b0ae0f83e4b569c40874a48970580", + "94fdb9424b1b435e828d0b151a62cc81", + "78492be8740e4b6297bf3bb4621fbc7c", + "f77194796ec74116bb5fde39f24c5c2b", + "99d3e3c2474d46839dab081f8264bf36", + "3180018b13d34681aca07313315b004a", + "7f7cb8d400504c15869e598fffe8a343", + "6565b940d953495fa66118ae692df124", + "e770bb79e512487c832bf52927528697", + "77eea4a648244b38b21e060c23a35545", + "1633927d5f7f4bcebdbc1cd61fcf0559", + "e34de6c5fac341f7afcf301c25893424", + "001f2ec02bc7456d9a6555c466cd2403", + "a92f07570f9042cfab3b1975428da0d7", + "742067818cd042e2b953724eb1f8ef47", + "442ebe4e646a4a4a85ba2a3370f22465", + "843f01c3561c48a4ac5579affa0589a5", + "1403bdedc867494885be431b58c845f9", + "b7fc958d6ceb47f1b880f02fc55506e0", + "d14f4ff0d1d443999a0e93d6e79817f9", + "9d80c7e480aa4152b282145f88f4630a", + "41936609124c4ab9a27114d3edbacb97", + "8397b6d5d15d4ed7b19bd8420f151c02", + "64b0ce76f4204f62b822e73797394682", + "d2ffa463412a4a8fb3dfec0924daf946", + "51f8f4a977904163a467c1d75148665d", + "5d4a78d09b5a4c979fc45b97fa78c13a", + "b8b453fbb8f144f1b2125cbd1a8ca7eb", + "4d09c6369eef421c93bf7d84c6a80c2c", + "fb6d9a3b96034a428fe073d024ad8f25", + "7e4306def14e4a84b605057905bc41ec", + "a0831918ad4e43e2bff292369b8a9439", + "1391c03646094103a12ea98e5ada7c25", + "7bdf470ac071496f9d28a444eca8b429", + "3d64a5229ddf4a3ca1e3343d14beff7f", + "5204acc796a74307bb5d07d61ab6e53c", + "c44b834d60c24f698a5e4acbc823c6bc", + "7cf559d35dff456aad057e6c21a714cb", + "56f60d571f4740448518da6d57a84263", + "db984adb251548e5ba75c477673b752a", + "7fb97cff07fb4f5cbb99377e149bd847", + "35bc27f46ed8472d9a15a1b9ab27e019", + "a2739a9edd814840a6e546c4654eca85", + "787a402d0f28480fb77e438181d5b6e9", + "cfe41ce57586426d8248a72b5ca5db75", + "31fc8eb24c6146c8b99530c5e09529a8", + "eb9d7ca302664233873e62ffeaafea2a", + "2a758d1c136d4d7c82f758af3fa0a0d9", + "7a79cb189399442b91fcbd9494a09aa8", + "8f65888686ac4abd81e3b66d23df1437", + "685b6a66a68f40049914bffd97e2d3f4", + "51988e9134534612acd90c15907a1457", + "b517f7776bb6480498ce3b30c4109998", + "26032aacc9544d0a8e0de077f081d753", + "e2783916271743d6bd82819b54ef7e04", + "4ecfee6f9cf84f52967999d6329e787d", + "a5c8f86185e548058aeaf2eee749168e", + "e73acdfbb45d447b93c56f98a45de609", + "dd32a8cf9c144e1284deef3adeeaf96f", + "198c8a159b9f4c5daf23c722fcce1ce7", + "7527b39491314b41b2109f41115992ca", + "89aba37e034148f9b637624a9f398920", + "d96bc217532045298b07c3a1e3fdce91", + "23f03892e10e4c8a86b51439725e3d4e", + "52e1901aec7446cfa87ebe668ce2a4d0", + "c6be32cb2d234056a625367d6d29d425", + "ea0352e34f934826951620e515ae5cc5", + "70363c1a41b142a0a8f03df73fb17fdf", + "8abbe11c2e8348ae91a30a110a847ff3", + "194e90ad32a44387b5527e07f454409e", + "43cec1eb11bf4359bc1478299d70579f", + "993499f28c514123be90673ff33d9009", + "f50e4c9ea71f42a2b2a43a9d30c4552b", + "1cfc9279e3d741f79c4d9beb7a4a67f6", + "4a1a2139de6f4b7e8f1706bbaafc9ccd", + "9dbd67a393ea4222a3ea4e83141d8431", + "41061e0e2f0b4a50aff949838071fc17", + "aa95b4eb59bc478c905c4c1cead3f781", + "3847606649364672884e6aa3d6271f1f", + "9db820f14c534bf8ac686418ca325769", + "78c7f4fcea0e441a9c271e9fdee03168", + "6ed03a2e2122467d8b19f88ac1e9634f", + "7c4f6b8a446a4e0a83d21fd9b7432450", + "33445bf4f77d4b2db3447786e3f1fedc", + "fe35be6366ac4ce19d586cb3c462119e", + "6a6657b7af824ac2bfdf7493112a431c", + "bae3b12f6bd94ea796762554e2c1d2d6", + "6475cdcdb7d34874a0f741b68df8cd1a", + "0f5c079aef044cd88f4e19c1758940f7", + "17d8382510ea4b04b54c532ec206845f", + "57626246bda048d99f7ed3ae11fe14cd", + "8009bb7cc3e04cbe944c401c8d74c0cc", + "3c9badb3816941418855640181640cff", + "71da2fdbfc10427c8e1dd77c551eebf3", + "4b8cdc698dd14a4db1687b1ab47140aa", + "5967f0f3fa4e4376b6568f5afc211d28", + "3e9762ab88eb446b9be22c4eb8b01e62", + "b0660645f0f9483fb2ad6267f0809874", + "9ad4dff44f544c9580f2b19a12c01ae5", + "b7e8abd908ab416a930f9cabce7cb48d", + "bd23148b789a4f49830d72611b70220d", + "2259b0c56135468c943f27fd5ecc8db9", + "bf199fa35bd747838a0201eca2fe5216", + "891cf24185a648cc9eb7f690698a7b9f", + "5be81f4c5bc140bf930b83223b0a32e8", + "1521d372863d41caa39a89b731956aea", + "fdbeeddb6d054735ad1a9c9c919cc466", + "ea5bb514903344c3ad3011d04a87340f", + "85238d7be961400d9a9fa3ef35a1cc50", + "7d377c73fc5b4bfa9ee882b34c8433e3", + "f3f725f7f91643fa8793421ab6f2a896", + "f605fdfd6ec043d4b1e02035a7d49586", + "b82a8b64dc804a0683cf336824f968c7", + "346603a3cae74fa4bfa46140bc56a4c0", + "66486728c4f24bb9bcb72b45660f774c", + "8c94670a38a54179a91b7dc485c02bd2", + "299d635aa427481a825dc7ebb231b142", + "8132f2efad3644ec896fe8100b16d55f", + "b4df993a95b948d1b4fcbf85162ae61b", + "6e212ac15659450ca932c23ccd8df127", + "6881e1a4b9eb4ba1a49f43ab75b0575a", + "b5eee63f959e4801ab0cf170774301dd", + "231d6f7adf9a426bbb966ae534dff145", + "f49fe2cbb3f34410b478dba20ca13ea6", + "adaa3d8f990f400a97e5e55c6cf327b3", + "8ab92008b9234d6080af40fc59c3232b", + "ade3c7c45e5247dfb19925edc9e0475f", + "13938a9d553a46b4a1b545913bf0cb0e", + "1faebdfd312d49f8ba1ee47b7865caed", + "451ab31adeb14a26bd89bc576ef42431", + "7570dce695f547f084591384d861cf8e", + "4a137959ce6143b596be02f8d342a34c", + "b2cb49646a514c0ea0eb1af876d08e02", + "cdab8239e91c420d8c0842282e4cb0e8", + "8153a72cee4a4ee79c2363dcc8d084ca", + "2dac8f4df41b49269431b0ffdc394c05", + "ad66099d2db94499828775873304d78d", + "f7e08a6542824987af97fb4a11590284", + "704fec75331141f58b3c697e4c5d5a2e", + "cb7324c766e441bd927dd08e44625d97", + "9536385a35cb46d49cd7a63632a619e6", + "471663dd2cc745a987b1f5bef1983f38", + "3987933b6f1d44ae8f8f04e6d7393dcd", + "99e3c343742841fc915f245d8620f364", + "a594c3adb768445ca67d2106960b63c0", + "3d62ea58de61421287d644367588073e" + ] + } + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "UserWarning: \n", + "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", + "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", + "You will be able to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "model_index.json: 0%| | 0.00/609 [00:00" + ], + "image/png": "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\n" + }, + "metadata": {}, + "execution_count": 6 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "Not bad! The results seem to be well-aligned with the prompt.\n", + "\n", + "## Detecting objects\n", + "\n", + "Now, let's see how can we detect the objects automatically. For this, we'll use [YOLO-World](https://inference.roboflow.com/) model from `inference` library." + ], + "metadata": { + "id": "wKuyU-GDXPhr" + } + }, + { + "cell_type": "code", + "source": [ + "model = YOLOWorld(model_id=\"yolo_world/l\")" + ], + "metadata": { + "id": "R9pERjDkGIlN", + "outputId": "0a8a8743-ca2f-4a8e-e8e9-4e0848fec154", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "execution_count": 7, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Creating inference sessions\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "UserWarning: Specified provider 'OpenVINOExecutionProvider' is not in available provider names.Available providers: 'TensorrtExecutionProvider, CUDAExecutionProvider, CPUExecutionProvider'\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "CLIP model loaded in 34.03 seconds\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [], + "metadata": { + "id": "G0PlnmZckOCH" + } + }, + { + "cell_type": "markdown", + "source": [ + "YOLO-World model allows us to [define our own set of labels](https://docs.ultralytics.com/models/yolo-world/#set-prompts). Let's create it by combining lists of pre-defined colors and objects." + ], + "metadata": { + "id": "VOxtES_qaoWe" + } + }, + { + "cell_type": "code", + "source": [ + "COLORS = [ \"gold\", \"black\", \"white\", \"orange\"]\n", + "OBJECTS = [\"saxophone\", \"chain\", \"sunglasses\", \"bracelet\", \"jacket\", \"t-shirt\", \"person\"]\n", + "CLASSES = [f\"{color} {obj}\" for color, obj in itertools.product(COLORS, OBJECTS)]\n", + "print(\"Number of labels:\", len(CLASSES))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "SkY3TI4JHmkj", + "outputId": "42077b83-86f4-48de-a6f6-b24ca45794a1" + }, + "execution_count": 16, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Number of labels: 28\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "Let's feed these labels into our model:" + ], + "metadata": { + "id": "by_NYnqkoET-" + } + }, + { + "cell_type": "code", + "source": [ + "model.set_classes(CLASSES)" + ], + "metadata": { + "id": "oinXZU3YWZqw" + }, + "execution_count": 17, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "Time to detect some objects!" + ], + "metadata": { + "id": "RTHHpRsFoJsk" + } + }, + { + "cell_type": "code", + "source": [ + "results = model.infer(image)" + ], + "metadata": { + "id": "zDPd-LOqGLHJ" + }, + "execution_count": 18, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "We'll convert the results to the [sv.Detections](https://supervision.roboflow.com/latest/detection/core/#supervision.detection.core.Detections) format to enable features like filtering or annotations." + ], + "metadata": { + "id": "TGCRxUpeu8Vi" + } + }, + { + "cell_type": "code", + "source": [ + "detections = sv.Detections.from_inference(results)" + ], + "metadata": { + "id": "GWbmFKscvUhU" + }, + "execution_count": 19, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "Speaking of which: we only care about strong detections, so we filter out ones that are below 0.6 confidence." + ], + "metadata": { + "id": "AscEY8SioQQ7" + } + }, + { + "cell_type": "code", + "source": [ + "valid_detections = detections[detections.confidence >= 0.6]" + ], + "metadata": { + "id": "f2fvqc8lWxGT" + }, + "execution_count": 20, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "A quick peek on the detected labels and their score:" + ], + "metadata": { + "id": "klstslXPop-9" + } + }, + { + "cell_type": "code", + "source": [ + "labels = [\n", + " f\"{CLASSES[class_id]} {confidence:0.2f}\"\n", + " for class_id, confidence\n", + " in zip(valid_detections.class_id, valid_detections.confidence)\n", + "]\n", + "labels" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "0jbyOEGdGOhd", + "outputId": "b0c52a2e-40db-4541-846c-9b61ab7488d9" + }, + "execution_count": 21, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "['gold saxophone 0.98', 'gold saxophone 0.91', 'black sunglasses 0.87']" + ] + }, + "metadata": {}, + "execution_count": 21 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Visualizing results\n", + "\n", + "Now, let's use the power of `supervision` to visualize them. Our output image is in [Pillow](https://pillow.readthedocs.io/en/stable/index.html) format, but annotators can accept the image to be a BGR `np.ndarray` or pillow's `PIL.Image.Image`.\n", + "\n", + "Time to define how we want our detections to be visualized. A combination of [sv.BoundingBoxAnnotator](https://supervision.roboflow.com/latest/annotators/#supervision.annotators.core.BoundingBoxAnnotator) and [sv.LabelAnnotator](https://supervision.roboflow.com/latest/annotators/#supervision.annotators.core.LabelAnnotator) should be perfect." + ], + "metadata": { + "id": "GOccbqMDo2Ec" + } + }, + { + "cell_type": "code", + "source": [ + "bounding_box_annotator = sv.BoundingBoxAnnotator(thickness=2)\n", + "label_annotator = sv.LabelAnnotator(text_thickness=1, text_scale=0.5,text_color=sv.Color.BLACK)" + ], + "metadata": { + "id": "X9HMMnTppp-c" + }, + "execution_count": 22, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "Finally, annotating our image is as simple as calling `annotate` methods from our annotators:" + ], + "metadata": { + "id": "u3y59TgWp4Fx" + } + }, + { + "cell_type": "code", + "source": [ + "annotated_image = bounding_box_annotator.annotate(image, valid_detections)\n", + "annotated_image = label_annotator.annotate(annotated_image, valid_detections, labels)\n", + "\n", + "sv.plot_image(annotated_image, (12, 12))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 734 + }, + "id": "UdDEwjhoIiHo", + "outputId": "689e594e-e2aa-46d9-b2ef-7da378319fed" + }, + "execution_count": 23, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Testing it automatically\n", + "\n", + "We can also test if all requested objects are in the generated image by comparing a set of ground-truth labels with predicted ones:" + ], + "metadata": { + "id": "kl5kO59CquMq" + } + }, + { + "cell_type": "code", + "source": [ + "GROUND_TRUTH = {\" saxophone \", \" sunglasses \"}\n", + "prediction = {CLASSES[class_id] for class_id in valid_detections.class_id}\n", + "\n", + "prediction.issubset(GROUND_TRUTH)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "laJS1E76qynK", + "outputId": "a757f9ce-8e71-4c5d-c74e-63e9eb0e7ef6" + }, + "execution_count": 26, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "False" + ] + }, + "metadata": {}, + "execution_count": 26 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "Using [sv.Detections](https://supervision.roboflow.com/latest/detection/core/#supervision.detection.core.Detections) makes it super easy to do." + ], + "metadata": { + "id": "8L4lXpvFvxZR" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Next steps\n", + "\n", + "In this tutorial you learned how to detect and visualize objects for a simple image generation evaluation study.\n", + "\n", + "Having a pipeline capable of evaluating a single image, the natural next step should be to run it on a set of pre-defined scenarios and calculate metrics." + ], + "metadata": { + "id": "j2GgYtNGqYmY" + } + } + ] +} \ No newline at end of file diff --git a/finger-counter-hand-tracking-master/.DS_Store b/finger-counter-hand-tracking-master/.DS_Store deleted file mode 100644 index d9a3d61..0000000 Binary files a/finger-counter-hand-tracking-master/.DS_Store and /dev/null differ diff --git a/finger-counter-hand-tracking-master/Finger_Counter.py b/finger-counter-hand-tracking-master/Finger_Counter.py deleted file mode 100644 index 4b550e9..0000000 --- a/finger-counter-hand-tracking-master/Finger_Counter.py +++ /dev/null @@ -1,43 +0,0 @@ -import cv2 -import mediapipe as mp - -cap = cv2.VideoCapture(0) -mp_Hands = mp.solutions.hands -hands = mp_Hands.Hands() -mpDraw = mp.solutions.drawing_utils -finger_Coord = [(8, 6), (12, 10), (16, 14), (20, 18)] -thumb_Coord = (4, 2) - -while True: - success, image = cap.read() - RGB_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) - results = hands.process(RGB_image) - multiLandMarks = results.multi_hand_landmarks - - if multiLandMarks: - handList = [] - for handLms in multiLandMarks: - mpDraw.draw_landmarks(image, handLms, mp_Hands.HAND_CONNECTIONS) - for idx, lm in enumerate(handLms.landmark): - h, w, c = image.shape - cx, cy = int(lm.x * w), int(lm.y * h) - handList.append((cx, cy)) - - for point in handList: - cv2.circle(image, point, 10, (255, 255, 0), cv2.FILLED) - - upCount = 0 - for coordinate in finger_Coord: - if handList[coordinate[0]][1] < handList[coordinate[1]][1]: - upCount += 1 - if handList[thumb_Coord[0]][0] > handList[thumb_Coord[1]][0]: - upCount += 1 - - cv2.putText(image, str(upCount), (150, 150), cv2.FONT_HERSHEY_PLAIN, 12, (0, 255, 0), 12) - - cv2.imshow("Counting number of fingers", image) - if cv2.waitKey(1) == 27: # Press 'Esc' key to exit the loop - break - -cap.release() -cv2.destroyAllWindows() diff --git a/finger-counter-hand-tracking-master/HandTracking.py b/finger-counter-hand-tracking-master/HandTracking.py deleted file mode 100644 index 4dd7b94..0000000 --- a/finger-counter-hand-tracking-master/HandTracking.py +++ /dev/null @@ -1,111 +0,0 @@ -import cv2 -import mediapipe as mp -import math - -mp.solutions.hands.Hands() - -class HandDetector: - def __init__(self, mode=False, max_hands=2, detection_confidence=0.5, tracking_confidence=0.5): - self.mode = mode - self.max_hands = max_hands - self.detection_confidence = detection_confidence - self.tracking_confidence = tracking_confidence - - self.hands = mp.solutions.hands.Hands( - static_image_mode=self.mode, - max_num_hands=self.max_hands, - min_tracking_confidence=self.tracking_confidence, - min_detection_confidence=self.detection_confidence - ) - - self.mpDraw = mp.solutions.drawing_utils - self.landmark_list = [] - self.tipIds = [4, 8, 12, 16, 20] - - def find_hands(self, image, draw=True): - img_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) - self.results = self.hands.process(img_rgb).multi_hand_landmarks - - if self.results: - for hand_landmark in self.results: - if draw: - self.mpDraw.draw_landmarks(image, hand_landmark, mp.solutions.hands.HAND_CONNECTIONS) - return image - - def find_position(self, image, hand_no=0, draw=True, draw_bounding_box=True): - x_list = [] - y_list = [] - self.landmark_list = [] - bounding_box = [] - - if self.results: - hand = self.results[hand_no] - for id_, landmark in enumerate(hand.landmark): - h, w, c = image.shape - cx, cy = int(landmark.x*w), int(landmark.y*h) - x_list.append(cx) - y_list.append(cy) - self.landmark_list.append([id_, cx, cy]) - if draw: - cv2.circle(image, (cx, cy), 3, (20, 255, 0), cv2.FILLED) - - x_min, x_max = min(x_list), max(x_list) - y_min, y_max = min(y_list), max(y_list) - bounding_box = x_min, y_min, x_max, y_max - if draw_bounding_box: - cv2.rectangle(image, (x_min - 20, y_min - 20), (x_max + 20, y_max + 20), - (0, 255, 0), 2) - - return self.landmark_list, bounding_box - - def fingers_up(self): - fingers = [] - # Thumb - if self.landmark_list[self.tipIds[0]][1] > self.landmark_list[self.tipIds[0] - 1][1]: - fingers.append(1) - else: - fingers.append(0) - - # Fingers - for id_ in range(1, 5): - if self.landmark_list[self.tipIds[id_]][2] < self.landmark_list[self.tipIds[id_] - 2][2]: - fingers.append(1) - else: - fingers.append(0) - - return fingers - - def find_distance(self, p1, p2, image, draw=True, r=10, t=3): - x1, y1 = self.landmark_list[p1][1:] - x2, y2 = self.landmark_list[p2][1:] - cx, cy = (x1 + x2) // 2, (y1 + y2) // 2 - - if draw: - cv2.line(image, (x1, y1), (x2, y2), (255, 0, 255), t) - cv2.circle(image, (x1, y1), r, (255, 0, 255), cv2.FILLED) - cv2.circle(image, (x2, y2), r, (255, 0, 255), cv2.FILLED) - cv2.circle(image, (cx, cy), r, (0, 0, 255), cv2.FILLED) - length = math.hypot(x2 - x1, y2 - y1) - - return length, image, [x1, y1, x2, y2, cx, cy] - -# Initialize the HandDetector class -detector = HandDetector() - -# Initialize the video capture object -cap = cv2.VideoCapture(0) - -while cap.isOpened(): - success, img = cap.read() - img = detector.find_hands(img) - - # Your additional code for processing hand landmarks and drawing them goes here - - cv2.imshow("Image", img) - - # Wait for 'q' key to be pressed to exit - if cv2.waitKey(1) == ord('q'): - break - -cap.release() -cv2.destroyAllWindows() diff --git a/finger-counter-hand-tracking-master/README.md b/finger-counter-hand-tracking-master/README.md deleted file mode 100644 index 28db3d3..0000000 --- a/finger-counter-hand-tracking-master/README.md +++ /dev/null @@ -1,10 +0,0 @@ -# Finger Counter - -Finger Counter Using using hand tracking | Computer Vision | Open CV - -First we look into hand tracking and then we use the hand landmarks to count of the fingers. - -All of this is happening in Realtime. - - -![finger (online-video-cutter com)](https://user-images.githubusercontent.com/83356501/133794301-5b2a574b-c3a9-46fc-a7bf-8ec583d2600a.gif) diff --git a/finger-counter-hand-tracking-master/__pycache__/HandTracking.cpython-310.pyc b/finger-counter-hand-tracking-master/__pycache__/HandTracking.cpython-310.pyc deleted file mode 100644 index b015c71..0000000 Binary files a/finger-counter-hand-tracking-master/__pycache__/HandTracking.cpython-310.pyc and /dev/null differ diff --git a/finger-counter-hand-tracking-master/__pycache__/searching/scraper.py b/finger-counter-hand-tracking-master/__pycache__/searching/scraper.py deleted file mode 100644 index 7445415..0000000 --- a/finger-counter-hand-tracking-master/__pycache__/searching/scraper.py +++ /dev/null @@ -1,2 +0,0 @@ -from facebook_scraper import get_profile -get_profile("zuck") # Or get_profile("zuck", cookies="cookies.txt") \ No newline at end of file diff --git a/finger-counter-hand-tracking-master/facedetection.py b/finger-counter-hand-tracking-master/facedetection.py deleted file mode 100644 index a9cfcf7..0000000 --- a/finger-counter-hand-tracking-master/facedetection.py +++ /dev/null @@ -1,61 +0,0 @@ -from __future__ import print_function -import cv2 as cv -import argparse - -def detectAndDisplay(frame): - frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY) - frame_gray = cv.equalizeHist(frame_gray) - - #-- Detect faces - faces = face_cascade.detectMultiScale(frame_gray) - for (x,y,w,h) in faces: - center = (x + w//2, y + h//2) - frame = cv.ellipse(frame, center, (w//2, h//2), 0, 0, 360, (255, 0, 255), 4) - - faceROI = frame_gray[y:y+h,x:x+w] - #-- In each face, detect eyes - eyes = eyes_cascade.detectMultiScale(faceROI) - for (x2,y2,w2,h2) in eyes: - eye_center = (x + x2 + w2//2, y + y2 + h2//2) - radius = int(round((w2 + h2)*0.25)) - frame = cv.circle(frame, eye_center, radius, (255, 0, 0 ), 4) - - cv.imshow('Capture - Face detection', frame) - -parser = argparse.ArgumentParser(description='Code for Cascade Classifier tutorial.') -parser.add_argument('--face_cascade', help='Path to face cascade.', default='data/haarcascades/haarcascade_frontalface_alt.xml') -parser.add_argument('--eyes_cascade', help='Path to eyes cascade.', default='data/haarcascades/haarcascade_eye_tree_eyeglasses.xml') -parser.add_argument('--camera', help='Camera divide number.', type=int, default=0) -args = parser.parse_args() - -face_cascade_name = args.face_cascade -eyes_cascade_name = args.eyes_cascade - -face_cascade = cv.CascadeClassifier() -eyes_cascade = cv.CascadeClassifier() - -#-- 1. Load the cascades -if not face_cascade.load(cv.samples.findFile(face_cascade_name)): - print('--(!)Error loading face cascade') - exit(0) -if not eyes_cascade.load(cv.samples.findFile(eyes_cascade_name)): - print('--(!)Error loading eyes cascade') - exit(0) - -camera_device = args.camera -#-- 2. Read the video stream -cap = cv.VideoCapture(camera_device) -if not cap.isOpened: - print('--(!)Error opening video capture') - exit(0) - -while True: - ret, frame = cap.read() - if frame is None: - print('--(!) No captured frame -- Break!') - break - - detectAndDisplay(frame) - - if cv.waitKey(10) == 27: - break \ No newline at end of file diff --git a/finger-counter-hand-tracking-master/finger_image/0.jpeg b/finger-counter-hand-tracking-master/finger_image/0.jpeg deleted file mode 100644 index 1af1270..0000000 Binary files a/finger-counter-hand-tracking-master/finger_image/0.jpeg and /dev/null differ diff --git a/finger-counter-hand-tracking-master/finger_image/1.jpeg b/finger-counter-hand-tracking-master/finger_image/1.jpeg deleted file mode 100644 index 700a766..0000000 Binary files a/finger-counter-hand-tracking-master/finger_image/1.jpeg and /dev/null differ diff --git a/finger-counter-hand-tracking-master/finger_image/2.jpeg b/finger-counter-hand-tracking-master/finger_image/2.jpeg deleted file mode 100644 index 904a0b6..0000000 Binary files a/finger-counter-hand-tracking-master/finger_image/2.jpeg and /dev/null differ diff --git a/finger-counter-hand-tracking-master/finger_image/3.jpeg b/finger-counter-hand-tracking-master/finger_image/3.jpeg deleted file mode 100644 index d840240..0000000 Binary files a/finger-counter-hand-tracking-master/finger_image/3.jpeg and /dev/null differ diff --git a/finger-counter-hand-tracking-master/finger_image/4.jpeg b/finger-counter-hand-tracking-master/finger_image/4.jpeg deleted file mode 100644 index 11cc40a..0000000 Binary files a/finger-counter-hand-tracking-master/finger_image/4.jpeg and /dev/null differ diff --git a/finger-counter-hand-tracking-master/finger_image/5.jpeg b/finger-counter-hand-tracking-master/finger_image/5.jpeg deleted file mode 100644 index 1916dde..0000000 Binary files a/finger-counter-hand-tracking-master/finger_image/5.jpeg and /dev/null differ diff --git a/finger-counter-hand-tracking-master/haarcascade_frontalface_alt.xml b/finger-counter-hand-tracking-master/haarcascade_frontalface_alt.xml deleted file mode 100644 index b3860ad..0000000 --- a/finger-counter-hand-tracking-master/haarcascade_frontalface_alt.xml +++ /dev/null @@ -1,24350 +0,0 @@ - - - -BOOST - HAAR - 20 - 20 - - 213 - - 0 - 22 - - <_> - 3 - 8.2268941402435303e-01 - - <_> - - 0 -1 0 4.0141958743333817e-03 - - 3.3794190734624863e-02 8.3781069517135620e-01 - <_> - - 0 -1 1 1.5151339583098888e-02 - - 1.5141320228576660e-01 7.4888122081756592e-01 - <_> - - 0 -1 2 4.2109931819140911e-03 - - 9.0049281716346741e-02 6.3748198747634888e-01 - <_> - 16 - 6.9566087722778320e+00 - - <_> - - 0 -1 3 1.6227109590545297e-03 - - 6.9308586418628693e-02 7.1109461784362793e-01 - <_> - - 0 -1 4 2.2906649392098188e-03 - - 1.7958030104637146e-01 6.6686922311782837e-01 - <_> - - 0 -1 5 5.0025708042085171e-03 - - 1.6936729848384857e-01 6.5540069341659546e-01 - <_> - - 0 -1 6 7.9659894108772278e-03 - - 5.8663320541381836e-01 9.1414518654346466e-02 - <_> - - 0 -1 7 -3.5227010957896709e-03 - - 1.4131669700145721e-01 6.0318958759307861e-01 - <_> - - 0 -1 8 3.6667689681053162e-02 - - 3.6756721138954163e-01 7.9203182458877563e-01 - <_> - - 0 -1 9 9.3361474573612213e-03 - - 6.1613857746124268e-01 2.0885099470615387e-01 - <_> - - 0 -1 10 8.6961314082145691e-03 - - 2.8362309932708740e-01 6.3602739572525024e-01 - <_> - - 0 -1 11 1.1488880263641477e-03 - - 2.2235809266567230e-01 5.8007007837295532e-01 - <_> - - 0 -1 12 -2.1484689787030220e-03 - - 2.4064640700817108e-01 5.7870548963546753e-01 - <_> - - 0 -1 13 2.1219060290604830e-03 - - 5.5596548318862915e-01 1.3622370362281799e-01 - <_> - - 0 -1 14 -9.3949146568775177e-02 - - 8.5027372837066650e-01 4.7177401185035706e-01 - <_> - - 0 -1 15 1.3777789426967502e-03 - - 5.9936738014221191e-01 2.8345298767089844e-01 - <_> - - 0 -1 16 7.3063157498836517e-02 - - 4.3418860435485840e-01 7.0600342750549316e-01 - <_> - - 0 -1 17 3.6767389974556863e-04 - - 3.0278879404067993e-01 6.0515749454498291e-01 - <_> - - 0 -1 18 -6.0479710809886456e-03 - - 1.7984339594841003e-01 5.6752568483352661e-01 - <_> - 21 - 9.4985427856445312e+00 - - <_> - - 0 -1 19 -1.6510689631104469e-02 - - 6.6442251205444336e-01 1.4248579740524292e-01 - <_> - - 0 -1 20 2.7052499353885651e-03 - - 6.3253521919250488e-01 1.2884770333766937e-01 - <_> - - 0 -1 21 2.8069869149476290e-03 - - 1.2402880191802979e-01 6.1931931972503662e-01 - <_> - - 0 -1 22 -1.5402400167658925e-03 - - 1.4321430027484894e-01 5.6700158119201660e-01 - <_> - - 0 -1 23 -5.6386279175058007e-04 - - 1.6574330627918243e-01 5.9052079916000366e-01 - <_> - - 0 -1 24 1.9253729842603207e-03 - - 2.6955071091651917e-01 5.7388240098953247e-01 - <_> - - 0 -1 25 -5.0214841030538082e-03 - - 1.8935389816761017e-01 5.7827740907669067e-01 - <_> - - 0 -1 26 2.6365420781075954e-03 - - 2.3093290627002716e-01 5.6954258680343628e-01 - <_> - - 0 -1 27 -1.5127769438549876e-03 - - 2.7596020698547363e-01 5.9566420316696167e-01 - <_> - - 0 -1 28 -1.0157439857721329e-02 - - 1.7325380444526672e-01 5.5220472812652588e-01 - <_> - - 0 -1 29 -1.1953660286962986e-02 - - 1.3394099473953247e-01 5.5590140819549561e-01 - <_> - - 0 -1 30 4.8859491944313049e-03 - - 3.6287039518356323e-01 6.1888492107391357e-01 - <_> - - 0 -1 31 -8.0132916569709778e-02 - - 9.1211050748825073e-02 5.4759448766708374e-01 - <_> - - 0 -1 32 1.0643280111253262e-03 - - 3.7151429057121277e-01 5.7113999128341675e-01 - <_> - - 0 -1 33 -1.3419450260698795e-03 - - 5.9533137083053589e-01 3.3180978894233704e-01 - <_> - - 0 -1 34 -5.4601140320301056e-02 - - 1.8440659344196320e-01 5.6028461456298828e-01 - <_> - - 0 -1 35 2.9071690514683723e-03 - - 3.5942441225051880e-01 6.1317151784896851e-01 - <_> - - 0 -1 36 7.4718717951327562e-04 - - 5.9943532943725586e-01 3.4595629572868347e-01 - <_> - - 0 -1 37 4.3013808317482471e-03 - - 4.1726520657539368e-01 6.9908452033996582e-01 - <_> - - 0 -1 38 4.5017572119832039e-03 - - 4.5097151398658752e-01 7.8014570474624634e-01 - <_> - - 0 -1 39 2.4138500913977623e-02 - - 5.4382127523422241e-01 1.3198269903659821e-01 - <_> - 39 - 1.8412969589233398e+01 - - <_> - - 0 -1 40 1.9212230108678341e-03 - - 1.4152669906616211e-01 6.1998707056045532e-01 - <_> - - 0 -1 41 -1.2748669541906565e-04 - - 6.1910742521286011e-01 1.8849289417266846e-01 - <_> - - 0 -1 42 5.1409931620582938e-04 - - 1.4873969554901123e-01 5.8579277992248535e-01 - <_> - - 0 -1 43 4.1878609918057919e-03 - - 2.7469098567962646e-01 6.3592398166656494e-01 - <_> - - 0 -1 44 5.1015717908740044e-03 - - 5.8708512783050537e-01 2.1756289899349213e-01 - <_> - - 0 -1 45 -2.1448440384119749e-03 - - 5.8809447288513184e-01 2.9795908927917480e-01 - <_> - - 0 -1 46 -2.8977119363844395e-03 - - 2.3733270168304443e-01 5.8766472339630127e-01 - <_> - - 0 -1 47 -2.1610679104924202e-02 - - 1.2206549942493439e-01 5.1942020654678345e-01 - <_> - - 0 -1 48 -4.6299318782985210e-03 - - 2.6312309503555298e-01 5.8174091577529907e-01 - <_> - - 0 -1 49 5.9393711853772402e-04 - - 3.6386200785636902e-01 5.6985449790954590e-01 - <_> - - 0 -1 50 5.3878661245107651e-02 - - 4.3035310506820679e-01 7.5593662261962891e-01 - <_> - - 0 -1 51 1.8887349870055914e-03 - - 2.1226030588150024e-01 5.6134271621704102e-01 - <_> - - 0 -1 52 -2.3635339457541704e-03 - - 5.6318491697311401e-01 2.6427671313285828e-01 - <_> - - 0 -1 53 2.4017799645662308e-02 - - 5.7971078157424927e-01 2.7517059445381165e-01 - <_> - - 0 -1 54 2.0543030404951423e-04 - - 2.7052420377731323e-01 5.7525688409805298e-01 - <_> - - 0 -1 55 8.4790197433903813e-04 - - 5.4356247186660767e-01 2.3348769545555115e-01 - <_> - - 0 -1 56 1.4091329649090767e-03 - - 5.3194248676300049e-01 2.0631550252437592e-01 - <_> - - 0 -1 57 1.4642629539594054e-03 - - 5.4189807176589966e-01 3.0688610672950745e-01 - <_> - - 0 -1 58 1.6352549428120255e-03 - - 3.6953729391098022e-01 6.1128681898117065e-01 - <_> - - 0 -1 59 8.3172752056270838e-04 - - 3.5650369524955750e-01 6.0252362489700317e-01 - <_> - - 0 -1 60 -2.0998890977352858e-03 - - 1.9139820337295532e-01 5.3628271818161011e-01 - <_> - - 0 -1 61 -7.4213981861248612e-04 - - 3.8355550169944763e-01 5.5293101072311401e-01 - <_> - - 0 -1 62 3.2655049581080675e-03 - - 4.3128961324691772e-01 7.1018958091735840e-01 - <_> - - 0 -1 63 8.9134991867467761e-04 - - 3.9848309755325317e-01 6.3919639587402344e-01 - <_> - - 0 -1 64 -1.5284179709851742e-02 - - 2.3667329549789429e-01 5.4337137937545776e-01 - <_> - - 0 -1 65 4.8381411470472813e-03 - - 5.8175009489059448e-01 3.2391890883445740e-01 - <_> - - 0 -1 66 -9.1093179071322083e-04 - - 5.5405938625335693e-01 2.9118689894676208e-01 - <_> - - 0 -1 67 -6.1275060288608074e-03 - - 1.7752550542354584e-01 5.1966291666030884e-01 - <_> - - 0 -1 68 -4.4576259097084403e-04 - - 3.0241701006889343e-01 5.5335938930511475e-01 - <_> - - 0 -1 69 2.2646540775895119e-02 - - 4.4149309396743774e-01 6.9753772020339966e-01 - <_> - - 0 -1 70 -1.8804960418492556e-03 - - 2.7913948893547058e-01 5.4979521036148071e-01 - <_> - - 0 -1 71 7.0889107882976532e-03 - - 5.2631992101669312e-01 2.3855470120906830e-01 - <_> - - 0 -1 72 1.7318050377070904e-03 - - 4.3193790316581726e-01 6.9836008548736572e-01 - <_> - - 0 -1 73 -6.8482700735330582e-03 - - 3.0820429325103760e-01 5.3909200429916382e-01 - <_> - - 0 -1 74 -1.5062530110299122e-05 - - 5.5219221115112305e-01 3.1203660368919373e-01 - <_> - - 0 -1 75 2.9475569725036621e-02 - - 5.4013228416442871e-01 1.7706030607223511e-01 - <_> - - 0 -1 76 8.1387329846620560e-03 - - 5.1786178350448608e-01 1.2110190093517303e-01 - <_> - - 0 -1 77 2.0942950621247292e-02 - - 5.2902942895889282e-01 3.3112218976020813e-01 - <_> - - 0 -1 78 -9.5665529370307922e-03 - - 7.4719941616058350e-01 4.4519689679145813e-01 - <_> - 33 - 1.5324139595031738e+01 - - <_> - - 0 -1 79 -2.8206960996612906e-04 - - 2.0640860497951508e-01 6.0767322778701782e-01 - <_> - - 0 -1 80 1.6790600493550301e-03 - - 5.8519971370697021e-01 1.2553839385509491e-01 - <_> - - 0 -1 81 6.9827912375330925e-04 - - 9.4018429517745972e-02 5.7289612293243408e-01 - <_> - - 0 -1 82 7.8959012171253562e-04 - - 1.7819879949092865e-01 5.6943088769912720e-01 - <_> - - 0 -1 83 -2.8560499195009470e-03 - - 1.6383990645408630e-01 5.7886648178100586e-01 - <_> - - 0 -1 84 -3.8122469559311867e-03 - - 2.0854400098323822e-01 5.5085647106170654e-01 - <_> - - 0 -1 85 1.5896620461717248e-03 - - 5.7027608156204224e-01 1.8572150170803070e-01 - <_> - - 0 -1 86 1.0078339837491512e-02 - - 5.1169431209564209e-01 2.1897700428962708e-01 - <_> - - 0 -1 87 -6.3526302576065063e-02 - - 7.1313798427581787e-01 4.0438130497932434e-01 - <_> - - 0 -1 88 -9.1031491756439209e-03 - - 2.5671818852424622e-01 5.4639732837677002e-01 - <_> - - 0 -1 89 -2.4035000242292881e-03 - - 1.7006659507751465e-01 5.5909740924835205e-01 - <_> - - 0 -1 90 1.5226360410451889e-03 - - 5.4105567932128906e-01 2.6190540194511414e-01 - <_> - - 0 -1 91 1.7997439950704575e-02 - - 3.7324368953704834e-01 6.5352207422256470e-01 - <_> - - 0 -1 92 -6.4538191072642803e-03 - - 2.6264819502830505e-01 5.5374461412429810e-01 - <_> - - 0 -1 93 -1.1880760081112385e-02 - - 2.0037539303302765e-01 5.5447459220886230e-01 - <_> - - 0 -1 94 1.2713660253211856e-03 - - 5.5919027328491211e-01 3.0319759249687195e-01 - <_> - - 0 -1 95 1.1376109905540943e-03 - - 2.7304071187973022e-01 5.6465089321136475e-01 - <_> - - 0 -1 96 -4.2651998810470104e-03 - - 1.4059090614318848e-01 5.4618209600448608e-01 - <_> - - 0 -1 97 -2.9602861031889915e-03 - - 1.7950350046157837e-01 5.4592901468276978e-01 - <_> - - 0 -1 98 -8.8448226451873779e-03 - - 5.7367831468582153e-01 2.8092199563980103e-01 - <_> - - 0 -1 99 -6.6430689767003059e-03 - - 2.3706759512424469e-01 5.5038261413574219e-01 - <_> - - 0 -1 100 3.9997808635234833e-03 - - 5.6081998348236084e-01 3.3042821288108826e-01 - <_> - - 0 -1 101 -4.1221720166504383e-03 - - 1.6401059925556183e-01 5.3789931535720825e-01 - <_> - - 0 -1 102 1.5624909661710262e-02 - - 5.2276492118835449e-01 2.2886039316654205e-01 - <_> - - 0 -1 103 -1.0356419719755650e-02 - - 7.0161938667297363e-01 4.2529278993606567e-01 - <_> - - 0 -1 104 -8.7960809469223022e-03 - - 2.7673470973968506e-01 5.3558301925659180e-01 - <_> - - 0 -1 105 1.6226939857006073e-01 - - 4.3422400951385498e-01 7.4425792694091797e-01 - <_> - - 0 -1 106 4.5542530715465546e-03 - - 5.7264858484268188e-01 2.5821250677108765e-01 - <_> - - 0 -1 107 -2.1309209987521172e-03 - - 2.1068480610847473e-01 5.3610187768936157e-01 - <_> - - 0 -1 108 -1.3208420015871525e-02 - - 7.5937908887863159e-01 4.5524680614471436e-01 - <_> - - 0 -1 109 -6.5996676683425903e-02 - - 1.2524759769439697e-01 5.3440397977828979e-01 - <_> - - 0 -1 110 7.9142656177282333e-03 - - 3.3153840899467468e-01 5.6010431051254272e-01 - <_> - - 0 -1 111 2.0894279703497887e-02 - - 5.5060499906539917e-01 2.7688381075859070e-01 - <_> - 44 - 2.1010639190673828e+01 - - <_> - - 0 -1 112 1.1961159761995077e-03 - - 1.7626909911632538e-01 6.1562412977218628e-01 - <_> - - 0 -1 113 -1.8679830245673656e-03 - - 6.1181068420410156e-01 1.8323999643325806e-01 - <_> - - 0 -1 114 -1.9579799845814705e-04 - - 9.9044263362884521e-02 5.7238161563873291e-01 - <_> - - 0 -1 115 -8.0255657667294145e-04 - - 5.5798798799514771e-01 2.3772829771041870e-01 - <_> - - 0 -1 116 -2.4510810617357492e-03 - - 2.2314579784870148e-01 5.8589351177215576e-01 - <_> - - 0 -1 117 5.0361850298941135e-04 - - 2.6539939641952515e-01 5.7941037416458130e-01 - <_> - - 0 -1 118 4.0293349884450436e-03 - - 5.8038270473480225e-01 2.4848650395870209e-01 - <_> - - 0 -1 119 -1.4451709575951099e-02 - - 1.8303519487380981e-01 5.4842048883438110e-01 - <_> - - 0 -1 120 2.0380979403853416e-03 - - 3.3635589480400085e-01 6.0510927438735962e-01 - <_> - - 0 -1 121 -1.6155190533027053e-03 - - 2.2866420447826385e-01 5.4412460327148438e-01 - <_> - - 0 -1 122 3.3458340913057327e-03 - - 5.6259131431579590e-01 2.3923380672931671e-01 - <_> - - 0 -1 123 1.6379579901695251e-03 - - 3.9069938659667969e-01 5.9646219015121460e-01 - <_> - - 0 -1 124 3.0251210555434227e-02 - - 5.2484822273254395e-01 1.5757469832897186e-01 - <_> - - 0 -1 125 3.7251990288496017e-02 - - 4.1943109035491943e-01 6.7484188079833984e-01 - <_> - - 0 -1 126 -2.5109790265560150e-02 - - 1.8825499713420868e-01 5.4734510183334351e-01 - <_> - - 0 -1 127 -5.3099058568477631e-03 - - 1.3399730622768402e-01 5.2271109819412231e-01 - <_> - - 0 -1 128 1.2086479691788554e-03 - - 3.7620881199836731e-01 6.1096358299255371e-01 - <_> - - 0 -1 129 -2.1907679736614227e-02 - - 2.6631429791450500e-01 5.4040068387985229e-01 - <_> - - 0 -1 130 5.4116579703986645e-03 - - 5.3635787963867188e-01 2.2322730720043182e-01 - <_> - - 0 -1 131 6.9946326315402985e-02 - - 5.3582328557968140e-01 2.4536980688571930e-01 - <_> - - 0 -1 132 3.4520021290518343e-04 - - 2.4096719920635223e-01 5.3769302368164062e-01 - <_> - - 0 -1 133 1.2627709656953812e-03 - - 5.4258567094802856e-01 3.1556931138038635e-01 - <_> - - 0 -1 134 2.2719509899616241e-02 - - 4.1584059596061707e-01 6.5978652238845825e-01 - <_> - - 0 -1 135 -1.8111000536009669e-03 - - 2.8112530708312988e-01 5.5052447319030762e-01 - <_> - - 0 -1 136 3.3469670452177525e-03 - - 5.2600282430648804e-01 1.8914650380611420e-01 - <_> - - 0 -1 137 4.0791751234792173e-04 - - 5.6735092401504517e-01 3.3442100882530212e-01 - <_> - - 0 -1 138 1.2734799645841122e-02 - - 5.3435921669006348e-01 2.3956120014190674e-01 - <_> - - 0 -1 139 -7.3119727894663811e-03 - - 6.0108900070190430e-01 4.0222078561782837e-01 - <_> - - 0 -1 140 -5.6948751211166382e-02 - - 8.1991511583328247e-01 4.5431908965110779e-01 - <_> - - 0 -1 141 -5.0116591155529022e-03 - - 2.2002810239791870e-01 5.3577107191085815e-01 - <_> - - 0 -1 142 6.0334368608891964e-03 - - 4.4130811095237732e-01 7.1817511320114136e-01 - <_> - - 0 -1 143 3.9437441155314445e-03 - - 5.4788607358932495e-01 2.7917331457138062e-01 - <_> - - 0 -1 144 -3.6591119132936001e-03 - - 6.3578677177429199e-01 3.9897239208221436e-01 - <_> - - 0 -1 145 -3.8456181064248085e-03 - - 3.4936860203742981e-01 5.3006649017333984e-01 - <_> - - 0 -1 146 -7.1926261298358440e-03 - - 1.1196149885654449e-01 5.2296727895736694e-01 - <_> - - 0 -1 147 -5.2798941731452942e-02 - - 2.3871029913425446e-01 5.4534512758255005e-01 - <_> - - 0 -1 148 -7.9537667334079742e-03 - - 7.5869178771972656e-01 4.4393768906593323e-01 - <_> - - 0 -1 149 -2.7344180271029472e-03 - - 2.5654768943786621e-01 5.4893219470977783e-01 - <_> - - 0 -1 150 -1.8507939530536532e-03 - - 6.7343479394912720e-01 4.2524749040603638e-01 - <_> - - 0 -1 151 1.5918919816613197e-02 - - 5.4883527755737305e-01 2.2926619648933411e-01 - <_> - - 0 -1 152 -1.2687679845839739e-03 - - 6.1043310165405273e-01 4.0223899483680725e-01 - <_> - - 0 -1 153 6.2883910723030567e-03 - - 5.3108531236648560e-01 1.5361930429935455e-01 - <_> - - 0 -1 154 -6.2259892001748085e-03 - - 1.7291119694709778e-01 5.2416062355041504e-01 - <_> - - 0 -1 155 -1.2132599949836731e-02 - - 6.5977597236633301e-01 4.3251821398735046e-01 - <_> - 50 - 2.3918790817260742e+01 - - <_> - - 0 -1 156 -3.9184908382594585e-03 - - 6.1034351587295532e-01 1.4693309366703033e-01 - <_> - - 0 -1 157 1.5971299726516008e-03 - - 2.6323631405830383e-01 5.8964669704437256e-01 - <_> - - 0 -1 158 1.7780110239982605e-02 - - 5.8728742599487305e-01 1.7603619396686554e-01 - <_> - - 0 -1 159 6.5334769897162914e-04 - - 1.5678019821643829e-01 5.5960661172866821e-01 - <_> - - 0 -1 160 -2.8353091329336166e-04 - - 1.9131539762020111e-01 5.7320362329483032e-01 - <_> - - 0 -1 161 1.6104689566418529e-03 - - 2.9149138927459717e-01 5.6230807304382324e-01 - <_> - - 0 -1 162 -9.7750619053840637e-02 - - 1.9434769451618195e-01 5.6482332944869995e-01 - <_> - - 0 -1 163 5.5182358482852578e-04 - - 3.1346169114112854e-01 5.5046397447586060e-01 - <_> - - 0 -1 164 -1.2858220376074314e-02 - - 2.5364819169044495e-01 5.7601428031921387e-01 - <_> - - 0 -1 165 4.1530239395797253e-03 - - 5.7677221298217773e-01 3.6597740650177002e-01 - <_> - - 0 -1 166 1.7092459602281451e-03 - - 2.8431910276412964e-01 5.9189391136169434e-01 - <_> - - 0 -1 167 7.5217359699308872e-03 - - 4.0524271130561829e-01 6.1831092834472656e-01 - <_> - - 0 -1 168 2.2479810286313295e-03 - - 5.7837551832199097e-01 3.1354010105133057e-01 - <_> - - 0 -1 169 5.2006211131811142e-02 - - 5.5413120985031128e-01 1.9166369736194611e-01 - <_> - - 0 -1 170 1.2085529975593090e-02 - - 4.0326559543609619e-01 6.6445910930633545e-01 - <_> - - 0 -1 171 1.4687820112158079e-05 - - 3.5359779000282288e-01 5.7093828916549683e-01 - <_> - - 0 -1 172 7.1395188570022583e-06 - - 3.0374449491500854e-01 5.6102699041366577e-01 - <_> - - 0 -1 173 -4.6001640148460865e-03 - - 7.1810871362686157e-01 4.5803260803222656e-01 - <_> - - 0 -1 174 2.0058949012309313e-03 - - 5.6219518184661865e-01 2.9536840319633484e-01 - <_> - - 0 -1 175 4.5050270855426788e-03 - - 4.6153879165649414e-01 7.6190179586410522e-01 - <_> - - 0 -1 176 1.1746830306947231e-02 - - 5.3438371419906616e-01 1.7725290358066559e-01 - <_> - - 0 -1 177 -5.8316338807344437e-02 - - 1.6862459480762482e-01 5.3407722711563110e-01 - <_> - - 0 -1 178 2.3629379575140774e-04 - - 3.7920561432838440e-01 6.0268038511276245e-01 - <_> - - 0 -1 179 -7.8156180679798126e-03 - - 1.5128670632839203e-01 5.3243237733840942e-01 - <_> - - 0 -1 180 -1.0876160115003586e-02 - - 2.0818220078945160e-01 5.3199452161788940e-01 - <_> - - 0 -1 181 -2.7745519764721394e-03 - - 4.0982469916343689e-01 5.2103281021118164e-01 - <_> - - 0 -1 182 -7.8276381827890873e-04 - - 5.6932741403579712e-01 3.4788420796394348e-01 - <_> - - 0 -1 183 1.3870409689843655e-02 - - 5.3267508745193481e-01 2.2576980292797089e-01 - <_> - - 0 -1 184 -2.3674910888075829e-02 - - 1.5513050556182861e-01 5.2007079124450684e-01 - <_> - - 0 -1 185 -1.4879409718560055e-05 - - 5.5005669593811035e-01 3.8201761245727539e-01 - <_> - - 0 -1 186 3.6190641112625599e-03 - - 4.2386838793754578e-01 6.6397482156753540e-01 - <_> - - 0 -1 187 -1.9817110151052475e-02 - - 2.1500380337238312e-01 5.3823578357696533e-01 - <_> - - 0 -1 188 -3.8154039066284895e-03 - - 6.6757112741470337e-01 4.2152971029281616e-01 - <_> - - 0 -1 189 -4.9775829538702965e-03 - - 2.2672890126705170e-01 5.3863281011581421e-01 - <_> - - 0 -1 190 2.2441020701080561e-03 - - 4.3086910247802734e-01 6.8557357788085938e-01 - <_> - - 0 -1 191 1.2282459996640682e-02 - - 5.8366149663925171e-01 3.4674790501594543e-01 - <_> - - 0 -1 192 -2.8548699337989092e-03 - - 7.0169448852539062e-01 4.3114539980888367e-01 - <_> - - 0 -1 193 -3.7875669077038765e-03 - - 2.8953450918197632e-01 5.2249461412429810e-01 - <_> - - 0 -1 194 -1.2201230274513364e-03 - - 2.9755708575248718e-01 5.4816448688507080e-01 - <_> - - 0 -1 195 1.0160599835216999e-02 - - 4.8888179659843445e-01 8.1826978921890259e-01 - <_> - - 0 -1 196 -1.6174569725990295e-02 - - 1.4814929664134979e-01 5.2399927377700806e-01 - <_> - - 0 -1 197 1.9292460754513741e-02 - - 4.7863098978996277e-01 7.3781907558441162e-01 - <_> - - 0 -1 198 -3.2479539513587952e-03 - - 7.3742228746414185e-01 4.4706439971923828e-01 - <_> - - 0 -1 199 -9.3803480267524719e-03 - - 3.4891548752784729e-01 5.5379962921142578e-01 - <_> - - 0 -1 200 -1.2606129981577396e-02 - - 2.3796869814395905e-01 5.3154432773590088e-01 - <_> - - 0 -1 201 -2.5621930137276649e-02 - - 1.9646880030632019e-01 5.1387697458267212e-01 - <_> - - 0 -1 202 -7.5741496402770281e-05 - - 5.5905228853225708e-01 3.3658531308174133e-01 - <_> - - 0 -1 203 -8.9210882782936096e-02 - - 6.3404656946659088e-02 5.1626348495483398e-01 - <_> - - 0 -1 204 -2.7670480776578188e-03 - - 7.3234677314758301e-01 4.4907060265541077e-01 - <_> - - 0 -1 205 2.7152578695677221e-04 - - 4.1148349642753601e-01 5.9855180978775024e-01 - <_> - 51 - 2.4527879714965820e+01 - - <_> - - 0 -1 206 1.4786219689995050e-03 - - 2.6635450124740601e-01 6.6433167457580566e-01 - <_> - - 0 -1 207 -1.8741659587249160e-03 - - 6.1438488960266113e-01 2.5185129046440125e-01 - <_> - - 0 -1 208 -1.7151009524241090e-03 - - 5.7663410902023315e-01 2.3974630236625671e-01 - <_> - - 0 -1 209 -1.8939269939437509e-03 - - 5.6820458173751831e-01 2.5291448831558228e-01 - <_> - - 0 -1 210 -5.3006052039563656e-03 - - 1.6406759619712830e-01 5.5560797452926636e-01 - <_> - - 0 -1 211 -4.6662531793117523e-02 - - 6.1231541633605957e-01 4.7628301382064819e-01 - <_> - - 0 -1 212 -7.9431332414969802e-04 - - 5.7078588008880615e-01 2.8394040465354919e-01 - <_> - - 0 -1 213 1.4891670085489750e-02 - - 4.0896728634834290e-01 6.0063672065734863e-01 - <_> - - 0 -1 214 -1.2046529445797205e-03 - - 5.7124507427215576e-01 2.7052891254425049e-01 - <_> - - 0 -1 215 6.0619381256401539e-03 - - 5.2625042200088501e-01 3.2622259855270386e-01 - <_> - - 0 -1 216 -2.5286648888140917e-03 - - 6.8538308143615723e-01 4.1992568969726562e-01 - <_> - - 0 -1 217 -5.9010218828916550e-03 - - 3.2662820816040039e-01 5.4348129034042358e-01 - <_> - - 0 -1 218 5.6702760048210621e-03 - - 5.4684108495712280e-01 2.3190039396286011e-01 - <_> - - 0 -1 219 -3.0304100364446640e-03 - - 5.5706679821014404e-01 2.7082380652427673e-01 - <_> - - 0 -1 220 2.9803649522364140e-03 - - 3.7005689740180969e-01 5.8906257152557373e-01 - <_> - - 0 -1 221 -7.5840510427951813e-02 - - 2.1400700509548187e-01 5.4199481010437012e-01 - <_> - - 0 -1 222 1.9262539222836494e-02 - - 5.5267721414566040e-01 2.7265900373458862e-01 - <_> - - 0 -1 223 1.8888259364757687e-04 - - 3.9580118656158447e-01 6.0172098875045776e-01 - <_> - - 0 -1 224 2.9369549825787544e-02 - - 5.2413737773895264e-01 1.4357580244541168e-01 - <_> - - 0 -1 225 1.0417619487270713e-03 - - 3.3854091167449951e-01 5.9299832582473755e-01 - <_> - - 0 -1 226 2.6125640142709017e-03 - - 5.4853779077529907e-01 3.0215978622436523e-01 - <_> - - 0 -1 227 9.6977467183023691e-04 - - 3.3752760291099548e-01 5.5320328474044800e-01 - <_> - - 0 -1 228 5.9512659208849072e-04 - - 5.6317430734634399e-01 3.3593991398811340e-01 - <_> - - 0 -1 229 -1.0156559944152832e-01 - - 6.3735038042068481e-02 5.2304250001907349e-01 - <_> - - 0 -1 230 3.6156699061393738e-02 - - 5.1369631290435791e-01 1.0295289754867554e-01 - <_> - - 0 -1 231 3.4624140243977308e-03 - - 3.8793200254440308e-01 5.5582892894744873e-01 - <_> - - 0 -1 232 1.9554980099201202e-02 - - 5.2500867843627930e-01 1.8758599460124969e-01 - <_> - - 0 -1 233 -2.3121440317481756e-03 - - 6.6720288991928101e-01 4.6796411275863647e-01 - <_> - - 0 -1 234 -1.8605289515107870e-03 - - 7.1633791923522949e-01 4.3346709012985229e-01 - <_> - - 0 -1 235 -9.4026362057775259e-04 - - 3.0213609337806702e-01 5.6502032279968262e-01 - <_> - - 0 -1 236 -5.2418331615626812e-03 - - 1.8200090527534485e-01 5.2502560615539551e-01 - <_> - - 0 -1 237 1.1729019752237946e-04 - - 3.3891880512237549e-01 5.4459732770919800e-01 - <_> - - 0 -1 238 1.1878840159624815e-03 - - 4.0853491425514221e-01 6.2535631656646729e-01 - <_> - - 0 -1 239 -1.0881359688937664e-02 - - 3.3783990144729614e-01 5.7000827789306641e-01 - <_> - - 0 -1 240 1.7354859737679362e-03 - - 4.2046359181404114e-01 6.5230387449264526e-01 - <_> - - 0 -1 241 -6.5119052305817604e-03 - - 2.5952160358428955e-01 5.4281437397003174e-01 - <_> - - 0 -1 242 -1.2136430013924837e-03 - - 6.1651438474655151e-01 3.9778938889503479e-01 - <_> - - 0 -1 243 -1.0354240424931049e-02 - - 1.6280280053615570e-01 5.2195048332214355e-01 - <_> - - 0 -1 244 5.5858830455690622e-04 - - 3.1996509432792664e-01 5.5035740137100220e-01 - <_> - - 0 -1 245 1.5299649909138680e-02 - - 4.1039940714836121e-01 6.1223882436752319e-01 - <_> - - 0 -1 246 -2.1588210016489029e-02 - - 1.0349129885435104e-01 5.1973849534988403e-01 - <_> - - 0 -1 247 -1.2834629416465759e-01 - - 8.4938651323318481e-01 4.8931029438972473e-01 - <_> - - 0 -1 248 -2.2927189711481333e-03 - - 3.1301578879356384e-01 5.4715752601623535e-01 - <_> - - 0 -1 249 7.9915106296539307e-02 - - 4.8563209176063538e-01 6.0739892721176147e-01 - <_> - - 0 -1 250 -7.9441092908382416e-02 - - 8.3946740627288818e-01 4.6245330572128296e-01 - <_> - - 0 -1 251 -5.2800010889768600e-03 - - 1.8816959857940674e-01 5.3066980838775635e-01 - <_> - - 0 -1 252 1.0463109938427806e-03 - - 5.2712291479110718e-01 2.5830659270286560e-01 - <_> - - 0 -1 253 2.6317298761568964e-04 - - 4.2353048920631409e-01 5.7354408502578735e-01 - <_> - - 0 -1 254 -3.6173160187900066e-03 - - 6.9343960285186768e-01 4.4954448938369751e-01 - <_> - - 0 -1 255 1.1421879753470421e-02 - - 5.9009212255477905e-01 4.1381931304931641e-01 - <_> - - 0 -1 256 -1.9963278900831938e-03 - - 6.4663827419281006e-01 4.3272399902343750e-01 - <_> - 56 - 2.7153350830078125e+01 - - <_> - - 0 -1 257 -9.9691245704889297e-03 - - 6.1423242092132568e-01 2.4822120368480682e-01 - <_> - - 0 -1 258 7.3073059320449829e-04 - - 5.7049518823623657e-01 2.3219659924507141e-01 - <_> - - 0 -1 259 6.4045301405712962e-04 - - 2.1122519671916962e-01 5.8149331808090210e-01 - <_> - - 0 -1 260 4.5424019917845726e-03 - - 2.9504820704460144e-01 5.8663117885589600e-01 - <_> - - 0 -1 261 9.2477443104144186e-05 - - 2.9909908771514893e-01 5.7913267612457275e-01 - <_> - - 0 -1 262 -8.6603146046400070e-03 - - 2.8130298852920532e-01 5.6355422735214233e-01 - <_> - - 0 -1 263 8.0515816807746887e-03 - - 3.5353690385818481e-01 6.0547572374343872e-01 - <_> - - 0 -1 264 4.3835240649059415e-04 - - 5.5965322256088257e-01 2.7315109968185425e-01 - <_> - - 0 -1 265 -9.8168973636347800e-05 - - 5.9780317544937134e-01 3.6385610699653625e-01 - <_> - - 0 -1 266 -1.1298790341243148e-03 - - 2.7552521228790283e-01 5.4327291250228882e-01 - <_> - - 0 -1 267 6.4356150105595589e-03 - - 4.3056419491767883e-01 7.0698332786560059e-01 - <_> - - 0 -1 268 -5.6829329580068588e-02 - - 2.4952429533004761e-01 5.2949970960617065e-01 - <_> - - 0 -1 269 4.0668169967830181e-03 - - 5.4785531759262085e-01 2.4977239966392517e-01 - <_> - - 0 -1 270 4.8164798499783501e-05 - - 3.9386010169982910e-01 5.7063561677932739e-01 - <_> - - 0 -1 271 6.1795017682015896e-03 - - 4.4076061248779297e-01 7.3947668075561523e-01 - <_> - - 0 -1 272 6.4985752105712891e-03 - - 5.4452431201934814e-01 2.4791529774665833e-01 - <_> - - 0 -1 273 -1.0211090557277203e-03 - - 2.5447669625282288e-01 5.3389710187911987e-01 - <_> - - 0 -1 274 -5.4247528314590454e-03 - - 2.7188581228256226e-01 5.3240692615509033e-01 - <_> - - 0 -1 275 -1.0559899965301156e-03 - - 3.1782880425453186e-01 5.5345088243484497e-01 - <_> - - 0 -1 276 6.6465808777138591e-04 - - 4.2842191457748413e-01 6.5581941604614258e-01 - <_> - - 0 -1 277 -2.7524109464138746e-04 - - 5.9028607606887817e-01 3.8102629780769348e-01 - <_> - - 0 -1 278 4.2293202131986618e-03 - - 3.8164898753166199e-01 5.7093858718872070e-01 - <_> - - 0 -1 279 -3.2868210691958666e-03 - - 1.7477439343929291e-01 5.2595442533493042e-01 - <_> - - 0 -1 280 1.5611879643984139e-04 - - 3.6017221212387085e-01 5.7256120443344116e-01 - <_> - - 0 -1 281 -7.3621381488919724e-06 - - 5.4018580913543701e-01 3.0444970726966858e-01 - <_> - - 0 -1 282 -1.4767250046133995e-02 - - 3.2207700610160828e-01 5.5734348297119141e-01 - <_> - - 0 -1 283 2.4489590898156166e-02 - - 4.3015280365943909e-01 6.5188127756118774e-01 - <_> - - 0 -1 284 -3.7652091123163700e-04 - - 3.5645830631256104e-01 5.5982369184494019e-01 - <_> - - 0 -1 285 7.3657688517414499e-06 - - 3.4907829761505127e-01 5.5618977546691895e-01 - <_> - - 0 -1 286 -1.5099939890205860e-02 - - 1.7762720584869385e-01 5.3352999687194824e-01 - <_> - - 0 -1 287 -3.8316650316119194e-03 - - 6.1496877670288086e-01 4.2213940620422363e-01 - <_> - - 0 -1 288 1.6925400123000145e-02 - - 5.4130148887634277e-01 2.1665850281715393e-01 - <_> - - 0 -1 289 -3.0477850232273340e-03 - - 6.4494907855987549e-01 4.3546178936958313e-01 - <_> - - 0 -1 290 3.2140589319169521e-03 - - 5.4001551866531372e-01 3.5232171416282654e-01 - <_> - - 0 -1 291 -4.0023201145231724e-03 - - 2.7745240926742554e-01 5.3384172916412354e-01 - <_> - - 0 -1 292 7.4182129465043545e-03 - - 5.6767392158508301e-01 3.7028178572654724e-01 - <_> - - 0 -1 293 -8.8764587417244911e-03 - - 7.7492219209671021e-01 4.5836889743804932e-01 - <_> - - 0 -1 294 2.7311739977449179e-03 - - 5.3387218713760376e-01 3.9966610074043274e-01 - <_> - - 0 -1 295 -2.5082379579544067e-03 - - 5.6119632720947266e-01 3.7774989008903503e-01 - <_> - - 0 -1 296 -8.0541074275970459e-03 - - 2.9152289032936096e-01 5.1791828870773315e-01 - <_> - - 0 -1 297 -9.7938813269138336e-04 - - 5.5364328622817993e-01 3.7001928687095642e-01 - <_> - - 0 -1 298 -5.8745909482240677e-03 - - 3.7543910741806030e-01 5.6793761253356934e-01 - <_> - - 0 -1 299 -4.4936719350516796e-03 - - 7.0196992158889771e-01 4.4809499382972717e-01 - <_> - - 0 -1 300 -5.4389229044318199e-03 - - 2.3103649914264679e-01 5.3133869171142578e-01 - <_> - - 0 -1 301 -7.5094640487805009e-04 - - 5.8648687601089478e-01 4.1293430328369141e-01 - <_> - - 0 -1 302 1.4528800420521293e-05 - - 3.7324070930480957e-01 5.6196212768554688e-01 - <_> - - 0 -1 303 4.0758069604635239e-02 - - 5.3120911121368408e-01 2.7205219864845276e-01 - <_> - - 0 -1 304 6.6505931317806244e-03 - - 4.7100159525871277e-01 6.6934937238693237e-01 - <_> - - 0 -1 305 4.5759351924061775e-03 - - 5.1678192615509033e-01 1.6372759640216827e-01 - <_> - - 0 -1 306 6.5269311890006065e-03 - - 5.3976088762283325e-01 2.9385319352149963e-01 - <_> - - 0 -1 307 -1.3660379685461521e-02 - - 7.0864880084991455e-01 4.5322000980377197e-01 - <_> - - 0 -1 308 2.7358869090676308e-02 - - 5.2064812183380127e-01 3.5892319679260254e-01 - <_> - - 0 -1 309 6.2197551596909761e-04 - - 3.5070759057998657e-01 5.4411232471466064e-01 - <_> - - 0 -1 310 -3.3077080734074116e-03 - - 5.8595228195190430e-01 4.0248918533325195e-01 - <_> - - 0 -1 311 -1.0631109587848186e-02 - - 6.7432671785354614e-01 4.4226029515266418e-01 - <_> - - 0 -1 312 1.9441649317741394e-02 - - 5.2827161550521851e-01 1.7979049682617188e-01 - <_> - 71 - 3.4554111480712891e+01 - - <_> - - 0 -1 313 -5.5052167735993862e-03 - - 5.9147310256958008e-01 2.6265591382980347e-01 - <_> - - 0 -1 314 1.9562279339879751e-03 - - 2.3125819861888885e-01 5.7416272163391113e-01 - <_> - - 0 -1 315 -8.8924784213304520e-03 - - 1.6565300524234772e-01 5.6266540288925171e-01 - <_> - - 0 -1 316 8.3638377487659454e-02 - - 5.4234498739242554e-01 1.9572949409484863e-01 - <_> - - 0 -1 317 1.2282270472496748e-03 - - 3.4179040789604187e-01 5.9925037622451782e-01 - <_> - - 0 -1 318 5.7629169896245003e-03 - - 3.7195819616317749e-01 6.0799038410186768e-01 - <_> - - 0 -1 319 -1.6417410224676132e-03 - - 2.5774860382080078e-01 5.5769157409667969e-01 - <_> - - 0 -1 320 3.4113149158656597e-03 - - 2.9507490992546082e-01 5.5141717195510864e-01 - <_> - - 0 -1 321 -1.1069320142269135e-02 - - 7.5693589448928833e-01 4.4770789146423340e-01 - <_> - - 0 -1 322 3.4865971654653549e-02 - - 5.5837088823318481e-01 2.6696211099624634e-01 - <_> - - 0 -1 323 6.5701099811121821e-04 - - 5.6273132562637329e-01 2.9888901114463806e-01 - <_> - - 0 -1 324 -2.4339130148291588e-02 - - 2.7711850404739380e-01 5.1088631153106689e-01 - <_> - - 0 -1 325 5.9435202274471521e-04 - - 5.5806517601013184e-01 3.1203418970108032e-01 - <_> - - 0 -1 326 2.2971509024500847e-03 - - 3.3302500844001770e-01 5.6790757179260254e-01 - <_> - - 0 -1 327 -3.7801829166710377e-03 - - 2.9905349016189575e-01 5.3448081016540527e-01 - <_> - - 0 -1 328 -1.3420669734477997e-01 - - 1.4638589322566986e-01 5.3925681114196777e-01 - <_> - - 0 -1 329 7.5224548345431685e-04 - - 3.7469539046287537e-01 5.6927347183227539e-01 - <_> - - 0 -1 330 -4.0545541793107986e-02 - - 2.7547478675842285e-01 5.4842978715896606e-01 - <_> - - 0 -1 331 1.2572970008477569e-03 - - 3.7445840239524841e-01 5.7560759782791138e-01 - <_> - - 0 -1 332 -7.4249948374927044e-03 - - 7.5138592720031738e-01 4.7282311320304871e-01 - <_> - - 0 -1 333 5.0908129196614027e-04 - - 5.4048967361450195e-01 2.9323211312294006e-01 - <_> - - 0 -1 334 -1.2808450264856219e-03 - - 6.1697798967361450e-01 4.2733490467071533e-01 - <_> - - 0 -1 335 -1.8348860321566463e-03 - - 2.0484960079193115e-01 5.2064722776412964e-01 - <_> - - 0 -1 336 2.7484869584441185e-02 - - 5.2529847621917725e-01 1.6755220293998718e-01 - <_> - - 0 -1 337 2.2372419480234385e-03 - - 5.2677828073501587e-01 2.7776581048965454e-01 - <_> - - 0 -1 338 -8.8635291904211044e-03 - - 6.9545578956604004e-01 4.8120489716529846e-01 - <_> - - 0 -1 339 4.1753971017897129e-03 - - 4.2918878793716431e-01 6.3491958379745483e-01 - <_> - - 0 -1 340 -1.7098189564421773e-03 - - 2.9305368661880493e-01 5.3612488508224487e-01 - <_> - - 0 -1 341 6.5328548662364483e-03 - - 4.4953250885009766e-01 7.4096941947937012e-01 - <_> - - 0 -1 342 -9.5372907817363739e-03 - - 3.1491199135780334e-01 5.4165017604827881e-01 - <_> - - 0 -1 343 2.5310989469289780e-02 - - 5.1218920946121216e-01 1.3117079436779022e-01 - <_> - - 0 -1 344 3.6460969597101212e-02 - - 5.1759117841720581e-01 2.5913399457931519e-01 - <_> - - 0 -1 345 2.0854329690337181e-02 - - 5.1371401548385620e-01 1.5823160111904144e-01 - <_> - - 0 -1 346 -8.7207747856155038e-04 - - 5.5743098258972168e-01 4.3989789485931396e-01 - <_> - - 0 -1 347 -1.5227000403683633e-05 - - 5.5489408969879150e-01 3.7080699205398560e-01 - <_> - - 0 -1 348 -8.4316509310156107e-04 - - 3.3874198794364929e-01 5.5542111396789551e-01 - <_> - - 0 -1 349 3.6037859972566366e-03 - - 5.3580617904663086e-01 3.4111711382865906e-01 - <_> - - 0 -1 350 -6.8057891912758350e-03 - - 6.1252027750015259e-01 4.3458628654479980e-01 - <_> - - 0 -1 351 -4.7021660953760147e-02 - - 2.3581659793853760e-01 5.1937389373779297e-01 - <_> - - 0 -1 352 -3.6954108625650406e-02 - - 7.3231112957000732e-01 4.7609439492225647e-01 - <_> - - 0 -1 353 1.0439479956403375e-03 - - 5.4194551706314087e-01 3.4113308787345886e-01 - <_> - - 0 -1 354 -2.1050689974799752e-04 - - 2.8216940164566040e-01 5.5549472570419312e-01 - <_> - - 0 -1 355 -8.0831587314605713e-02 - - 9.1299301385879517e-01 4.6974349021911621e-01 - <_> - - 0 -1 356 -3.6579059087671340e-04 - - 6.0226702690124512e-01 3.9782929420471191e-01 - <_> - - 0 -1 357 -1.2545920617412776e-04 - - 5.6132131814956665e-01 3.8455399870872498e-01 - <_> - - 0 -1 358 -6.8786486983299255e-02 - - 2.2616119682788849e-01 5.3004968166351318e-01 - <_> - - 0 -1 359 1.2415789999067783e-02 - - 4.0756919980049133e-01 5.8288121223449707e-01 - <_> - - 0 -1 360 -4.7174817882478237e-03 - - 2.8272539377212524e-01 5.2677577733993530e-01 - <_> - - 0 -1 361 3.8136858493089676e-02 - - 5.0747412443161011e-01 1.0236159712076187e-01 - <_> - - 0 -1 362 -2.8168049175292253e-03 - - 6.1690068244934082e-01 4.3596929311752319e-01 - <_> - - 0 -1 363 8.1303603947162628e-03 - - 4.5244330167770386e-01 7.6060950756072998e-01 - <_> - - 0 -1 364 6.0056019574403763e-03 - - 5.2404087781906128e-01 1.8597120046615601e-01 - <_> - - 0 -1 365 1.9139319658279419e-02 - - 5.2093791961669922e-01 2.3320719599723816e-01 - <_> - - 0 -1 366 1.6445759683847427e-02 - - 5.4507029056549072e-01 3.2642349600791931e-01 - <_> - - 0 -1 367 -3.7356890738010406e-02 - - 6.9990468025207520e-01 4.5332419872283936e-01 - <_> - - 0 -1 368 -1.9727900624275208e-02 - - 2.6536649465560913e-01 5.4128098487854004e-01 - <_> - - 0 -1 369 6.6972579807043076e-03 - - 4.4805660843849182e-01 7.1386522054672241e-01 - <_> - - 0 -1 370 7.4457528535276651e-04 - - 4.2313501238822937e-01 5.4713201522827148e-01 - <_> - - 0 -1 371 1.1790640419349074e-03 - - 5.3417021036148071e-01 3.1304550170898438e-01 - <_> - - 0 -1 372 3.4980610013008118e-02 - - 5.1186597347259521e-01 3.4305301308631897e-01 - <_> - - 0 -1 373 5.6859792675822973e-04 - - 3.5321870446205139e-01 5.4686397314071655e-01 - <_> - - 0 -1 374 -1.1340649798512459e-02 - - 2.8423538804054260e-01 5.3487008810043335e-01 - <_> - - 0 -1 375 -6.6228108480572701e-03 - - 6.8836402893066406e-01 4.4926649332046509e-01 - <_> - - 0 -1 376 -8.0160330981016159e-03 - - 1.7098939418792725e-01 5.2243089675903320e-01 - <_> - - 0 -1 377 1.4206819469109178e-03 - - 5.2908462285995483e-01 2.9933831095695496e-01 - <_> - - 0 -1 378 -2.7801711112260818e-03 - - 6.4988541603088379e-01 4.4604998826980591e-01 - <_> - - 0 -1 379 -1.4747589593753219e-03 - - 3.2604381442070007e-01 5.3881132602691650e-01 - <_> - - 0 -1 380 -2.3830339312553406e-02 - - 7.5289410352706909e-01 4.8012199997901917e-01 - <_> - - 0 -1 381 6.9369790144264698e-03 - - 5.3351658582687378e-01 3.2614278793334961e-01 - <_> - - 0 -1 382 8.2806255668401718e-03 - - 4.5803940296173096e-01 5.7378298044204712e-01 - <_> - - 0 -1 383 -1.0439500212669373e-02 - - 2.5923201441764832e-01 5.2338278293609619e-01 - <_> - 80 - 3.9107288360595703e+01 - - <_> - - 0 -1 384 7.2006587870419025e-03 - - 3.2588860392570496e-01 6.8498080968856812e-01 - <_> - - 0 -1 385 -2.8593589086085558e-03 - - 5.8388811349868774e-01 2.5378298759460449e-01 - <_> - - 0 -1 386 6.8580528022721410e-04 - - 5.7080817222595215e-01 2.8124240040779114e-01 - <_> - - 0 -1 387 7.9580191522836685e-03 - - 2.5010511279106140e-01 5.5442607402801514e-01 - <_> - - 0 -1 388 -1.2124150525778532e-03 - - 2.3853680491447449e-01 5.4333502054214478e-01 - <_> - - 0 -1 389 7.9426132142543793e-03 - - 3.9550709724426270e-01 6.2207579612731934e-01 - <_> - - 0 -1 390 2.4630590341985226e-03 - - 5.6397080421447754e-01 2.9923579096794128e-01 - <_> - - 0 -1 391 -6.0396599583327770e-03 - - 2.1865129470825195e-01 5.4116767644882202e-01 - <_> - - 0 -1 392 -1.2988339876756072e-03 - - 2.3507060110569000e-01 5.3645849227905273e-01 - <_> - - 0 -1 393 2.2299369447864592e-04 - - 3.8041129708290100e-01 5.7296061515808105e-01 - <_> - - 0 -1 394 1.4654280385002494e-03 - - 2.5101679563522339e-01 5.2582687139511108e-01 - <_> - - 0 -1 395 -8.1210042117163539e-04 - - 5.9928238391876221e-01 3.8511589169502258e-01 - <_> - - 0 -1 396 -1.3836020370945334e-03 - - 5.6813961267471313e-01 3.6365869641304016e-01 - <_> - - 0 -1 397 -2.7936449274420738e-02 - - 1.4913170039653778e-01 5.3775602579116821e-01 - <_> - - 0 -1 398 -4.6919551095925272e-04 - - 3.6924299597740173e-01 5.5724847316741943e-01 - <_> - - 0 -1 399 -4.9829659983515739e-03 - - 6.7585092782974243e-01 4.5325040817260742e-01 - <_> - - 0 -1 400 1.8815309740602970e-03 - - 5.3680229187011719e-01 2.9325398802757263e-01 - <_> - - 0 -1 401 -1.9067550078034401e-02 - - 1.6493770480155945e-01 5.3300672769546509e-01 - <_> - - 0 -1 402 -4.6906559728085995e-03 - - 1.9639259576797485e-01 5.1193618774414062e-01 - <_> - - 0 -1 403 5.9777139686048031e-03 - - 4.6711719036102295e-01 7.0083981752395630e-01 - <_> - - 0 -1 404 -3.3303130418062210e-02 - - 1.1554169654846191e-01 5.1041620969772339e-01 - <_> - - 0 -1 405 9.0744107961654663e-02 - - 5.1496601104736328e-01 1.3061730563640594e-01 - <_> - - 0 -1 406 9.3555898638442159e-04 - - 3.6054810881614685e-01 5.4398590326309204e-01 - <_> - - 0 -1 407 1.4901650138199329e-02 - - 4.8862120509147644e-01 7.6875698566436768e-01 - <_> - - 0 -1 408 6.1594118596985936e-04 - - 5.3568130731582642e-01 3.2409390807151794e-01 - <_> - - 0 -1 409 -5.0670988857746124e-02 - - 1.8486219644546509e-01 5.2304041385650635e-01 - <_> - - 0 -1 410 6.8665749859064817e-04 - - 3.8405799865722656e-01 5.5179458856582642e-01 - <_> - - 0 -1 411 8.3712432533502579e-03 - - 4.2885640263557434e-01 6.1317539215087891e-01 - <_> - - 0 -1 412 -1.2953069526702166e-03 - - 2.9136741161346436e-01 5.2807378768920898e-01 - <_> - - 0 -1 413 -4.1941680014133453e-02 - - 7.5547999143600464e-01 4.8560309410095215e-01 - <_> - - 0 -1 414 -2.3529380559921265e-02 - - 2.8382799029350281e-01 5.2560812234878540e-01 - <_> - - 0 -1 415 4.0857449173927307e-02 - - 4.8709350824356079e-01 6.2772971391677856e-01 - <_> - - 0 -1 416 -2.5406869128346443e-02 - - 7.0997077226638794e-01 4.5750290155410767e-01 - <_> - - 0 -1 417 -4.1415440500713885e-04 - - 4.0308868885040283e-01 5.4694122076034546e-01 - <_> - - 0 -1 418 2.1824119612574577e-02 - - 4.5020240545272827e-01 6.7687010765075684e-01 - <_> - - 0 -1 419 1.4114039950072765e-02 - - 5.4428607225418091e-01 3.7917000055313110e-01 - <_> - - 0 -1 420 6.7214590671937913e-05 - - 4.2004638910293579e-01 5.8734762668609619e-01 - <_> - - 0 -1 421 -7.9417638480663300e-03 - - 3.7925618886947632e-01 5.5852657556533813e-01 - <_> - - 0 -1 422 -7.2144409641623497e-03 - - 7.2531038522720337e-01 4.6035489439964294e-01 - <_> - - 0 -1 423 2.5817339774221182e-03 - - 4.6933019161224365e-01 5.9002387523651123e-01 - <_> - - 0 -1 424 1.3409319519996643e-01 - - 5.1492130756378174e-01 1.8088449537754059e-01 - <_> - - 0 -1 425 2.2962710354477167e-03 - - 5.3997439146041870e-01 3.7178671360015869e-01 - <_> - - 0 -1 426 -2.1575849968940020e-03 - - 2.4084959924221039e-01 5.1488637924194336e-01 - <_> - - 0 -1 427 -4.9196188338100910e-03 - - 6.5735882520675659e-01 4.7387400269508362e-01 - <_> - - 0 -1 428 1.6267469618469477e-03 - - 4.1928219795227051e-01 6.3031142950057983e-01 - <_> - - 0 -1 429 3.3413388882763684e-04 - - 5.5402982234954834e-01 3.7021011114120483e-01 - <_> - - 0 -1 430 -2.6698080822825432e-02 - - 1.7109179496765137e-01 5.1014107465744019e-01 - <_> - - 0 -1 431 -3.0561879277229309e-02 - - 1.9042180478572845e-01 5.1687937974929810e-01 - <_> - - 0 -1 432 2.8511548880487680e-03 - - 4.4475069642066956e-01 6.3138538599014282e-01 - <_> - - 0 -1 433 -3.6211479455232620e-02 - - 2.4907270073890686e-01 5.3773492574691772e-01 - <_> - - 0 -1 434 -2.4115189444273710e-03 - - 5.3812432289123535e-01 3.6642369627952576e-01 - <_> - - 0 -1 435 -7.7253201743587852e-04 - - 5.5302321910858154e-01 3.5415500402450562e-01 - <_> - - 0 -1 436 2.9481729143299162e-04 - - 4.1326990723609924e-01 5.6672430038452148e-01 - <_> - - 0 -1 437 -6.2334560789167881e-03 - - 9.8787233233451843e-02 5.1986688375473022e-01 - <_> - - 0 -1 438 -2.6274729520082474e-02 - - 9.1127492487430573e-02 5.0281071662902832e-01 - <_> - - 0 -1 439 5.3212260827422142e-03 - - 4.7266489267349243e-01 6.2227207422256470e-01 - <_> - - 0 -1 440 -4.1129058226943016e-03 - - 2.1574570238590240e-01 5.1378047466278076e-01 - <_> - - 0 -1 441 3.2457809429615736e-03 - - 5.4107707738876343e-01 3.7217769026756287e-01 - <_> - - 0 -1 442 -1.6359709203243256e-02 - - 7.7878749370574951e-01 4.6852919459342957e-01 - <_> - - 0 -1 443 3.2166109303943813e-04 - - 5.4789870977401733e-01 4.2403739690780640e-01 - <_> - - 0 -1 444 6.4452440710738301e-04 - - 5.3305608034133911e-01 3.5013249516487122e-01 - <_> - - 0 -1 445 -7.8909732401371002e-03 - - 6.9235211610794067e-01 4.7265690565109253e-01 - <_> - - 0 -1 446 4.8336211591959000e-02 - - 5.0559002161026001e-01 7.5749203562736511e-02 - <_> - - 0 -1 447 -7.5178127735853195e-04 - - 3.7837418913841248e-01 5.5385738611221313e-01 - <_> - - 0 -1 448 -2.4953910615295172e-03 - - 3.0816510319709778e-01 5.3596121072769165e-01 - <_> - - 0 -1 449 -2.2385010961443186e-03 - - 6.6339588165283203e-01 4.6493428945541382e-01 - <_> - - 0 -1 450 -1.7988430336117744e-03 - - 6.5968447923660278e-01 4.3471878767013550e-01 - <_> - - 0 -1 451 8.7860915809869766e-03 - - 5.2318328619003296e-01 2.3155799508094788e-01 - <_> - - 0 -1 452 3.6715380847454071e-03 - - 5.2042502164840698e-01 2.9773768782615662e-01 - <_> - - 0 -1 453 -3.5336449742317200e-02 - - 7.2388780117034912e-01 4.8615050315856934e-01 - <_> - - 0 -1 454 -6.9189240457490087e-04 - - 3.1050220131874084e-01 5.2298247814178467e-01 - <_> - - 0 -1 455 -3.3946109469980001e-03 - - 3.1389680504798889e-01 5.2101737260818481e-01 - <_> - - 0 -1 456 9.8569283727556467e-04 - - 4.5365801453590393e-01 6.5850979089736938e-01 - <_> - - 0 -1 457 -5.0163101404905319e-02 - - 1.8044540286064148e-01 5.1989167928695679e-01 - <_> - - 0 -1 458 -2.2367259953171015e-03 - - 7.2557020187377930e-01 4.6513590216636658e-01 - <_> - - 0 -1 459 7.4326287722215056e-04 - - 4.4129210710525513e-01 5.8985459804534912e-01 - <_> - - 0 -1 460 -9.3485182151198387e-04 - - 3.5000529885292053e-01 5.3660178184509277e-01 - <_> - - 0 -1 461 1.7497939988970757e-02 - - 4.9121949076652527e-01 8.3152848482131958e-01 - <_> - - 0 -1 462 -1.5200000489130616e-03 - - 3.5702759027481079e-01 5.3705602884292603e-01 - <_> - - 0 -1 463 7.8003940870985389e-04 - - 4.3537721037864685e-01 5.9673351049423218e-01 - <_> - 103 - 5.0610481262207031e+01 - - <_> - - 0 -1 464 -9.9945552647113800e-03 - - 6.1625832319259644e-01 3.0545330047607422e-01 - <_> - - 0 -1 465 -1.1085229925811291e-03 - - 5.8182948827743530e-01 3.1555780768394470e-01 - <_> - - 0 -1 466 1.0364380432292819e-03 - - 2.5520521402359009e-01 5.6929117441177368e-01 - <_> - - 0 -1 467 6.8211311008781195e-04 - - 3.6850899457931519e-01 5.9349310398101807e-01 - <_> - - 0 -1 468 -6.8057340104132891e-04 - - 2.3323920369148254e-01 5.4747921228408813e-01 - <_> - - 0 -1 469 2.6068789884448051e-04 - - 3.2574570178985596e-01 5.6675457954406738e-01 - <_> - - 0 -1 470 5.1607372006401420e-04 - - 3.7447169423103333e-01 5.8454728126525879e-01 - <_> - - 0 -1 471 8.5007521556690335e-04 - - 3.4203711152076721e-01 5.5228072404861450e-01 - <_> - - 0 -1 472 -1.8607829697430134e-03 - - 2.8044199943542480e-01 5.3754240274429321e-01 - <_> - - 0 -1 473 -1.5033970121294260e-03 - - 2.5790509581565857e-01 5.4989522695541382e-01 - <_> - - 0 -1 474 2.3478909861296415e-03 - - 4.1751560568809509e-01 6.3137108087539673e-01 - <_> - - 0 -1 475 -2.8880240279249847e-04 - - 5.8651697635650635e-01 4.0526661276817322e-01 - <_> - - 0 -1 476 8.9405477046966553e-03 - - 5.2111411094665527e-01 2.3186540603637695e-01 - <_> - - 0 -1 477 -1.9327739253640175e-02 - - 2.7534329891204834e-01 5.2415257692337036e-01 - <_> - - 0 -1 478 -2.0202060113660991e-04 - - 5.7229787111282349e-01 3.6771959066390991e-01 - <_> - - 0 -1 479 2.1179069299250841e-03 - - 4.4661080837249756e-01 5.5424308776855469e-01 - <_> - - 0 -1 480 -1.7743760254234076e-03 - - 2.8132531046867371e-01 5.3009599447250366e-01 - <_> - - 0 -1 481 4.2234458960592747e-03 - - 4.3997099995613098e-01 5.7954281568527222e-01 - <_> - - 0 -1 482 -1.4375220052897930e-02 - - 2.9811179637908936e-01 5.2920591831207275e-01 - <_> - - 0 -1 483 -1.5349180437624454e-02 - - 7.7052152156829834e-01 4.7481718659400940e-01 - <_> - - 0 -1 484 1.5152279956964776e-05 - - 3.7188440561294556e-01 5.5768972635269165e-01 - <_> - - 0 -1 485 -9.1293919831514359e-03 - - 3.6151960492134094e-01 5.2867668867111206e-01 - <_> - - 0 -1 486 2.2512159775942564e-03 - - 5.3647047281265259e-01 3.4862980246543884e-01 - <_> - - 0 -1 487 -4.9696918576955795e-03 - - 6.9276517629623413e-01 4.6768361330032349e-01 - <_> - - 0 -1 488 -1.2829010374844074e-02 - - 7.7121537923812866e-01 4.6607351303100586e-01 - <_> - - 0 -1 489 -9.3660065904259682e-03 - - 3.3749839663505554e-01 5.3512877225875854e-01 - <_> - - 0 -1 490 3.2452319283038378e-03 - - 5.3251898288726807e-01 3.2896101474761963e-01 - <_> - - 0 -1 491 -1.1723560281097889e-02 - - 6.8376529216766357e-01 4.7543001174926758e-01 - <_> - - 0 -1 492 2.9257940695970319e-05 - - 3.5720878839492798e-01 5.3605020046234131e-01 - <_> - - 0 -1 493 -2.2244219508138485e-05 - - 5.5414271354675293e-01 3.5520640015602112e-01 - <_> - - 0 -1 494 5.0881509669125080e-03 - - 5.0708442926406860e-01 1.2564620375633240e-01 - <_> - - 0 -1 495 2.7429679408669472e-02 - - 5.2695602178573608e-01 1.6258180141448975e-01 - <_> - - 0 -1 496 -6.4142867922782898e-03 - - 7.1455889940261841e-01 4.5841971039772034e-01 - <_> - - 0 -1 497 3.3479959238320589e-03 - - 5.3986120223999023e-01 3.4946969151496887e-01 - <_> - - 0 -1 498 -8.2635492086410522e-02 - - 2.4391929805278778e-01 5.1602262258529663e-01 - <_> - - 0 -1 499 1.0261740535497665e-03 - - 3.8868919014930725e-01 5.7679080963134766e-01 - <_> - - 0 -1 500 -1.6307090409100056e-03 - - 3.3894580602645874e-01 5.3477007150650024e-01 - <_> - - 0 -1 501 2.4546680506318808e-03 - - 4.6014139056205750e-01 6.3872468471527100e-01 - <_> - - 0 -1 502 -9.9476519972085953e-04 - - 5.7698792219161987e-01 4.1203960776329041e-01 - <_> - - 0 -1 503 1.5409190207719803e-02 - - 4.8787090182304382e-01 7.0898222923278809e-01 - <_> - - 0 -1 504 1.1784400558099151e-03 - - 5.2635532617568970e-01 2.8952449560165405e-01 - <_> - - 0 -1 505 -2.7701919898390770e-02 - - 1.4988289773464203e-01 5.2196067571640015e-01 - <_> - - 0 -1 506 -2.9505399987101555e-02 - - 2.4893319234251976e-02 4.9998161196708679e-01 - <_> - - 0 -1 507 4.5159430010244250e-04 - - 5.4646229743957520e-01 4.0296629071235657e-01 - <_> - - 0 -1 508 7.1772639639675617e-03 - - 4.2710569500923157e-01 5.8662968873977661e-01 - <_> - - 0 -1 509 -7.4182048439979553e-02 - - 6.8741792440414429e-01 4.9190279841423035e-01 - <_> - - 0 -1 510 -1.7254160717129707e-02 - - 3.3706760406494141e-01 5.3487390279769897e-01 - <_> - - 0 -1 511 1.4851559884846210e-02 - - 4.6267929673194885e-01 6.1299049854278564e-01 - <_> - - 0 -1 512 1.0002000257372856e-02 - - 5.3461229801177979e-01 3.4234538674354553e-01 - <_> - - 0 -1 513 2.0138120744377375e-03 - - 4.6438300609588623e-01 5.8243042230606079e-01 - <_> - - 0 -1 514 1.5135470312088728e-03 - - 5.1963961124420166e-01 2.8561499714851379e-01 - <_> - - 0 -1 515 3.1381431035697460e-03 - - 4.8381629586219788e-01 5.9585297107696533e-01 - <_> - - 0 -1 516 -5.1450440660119057e-03 - - 8.9203029870986938e-01 4.7414121031761169e-01 - <_> - - 0 -1 517 -4.4736708514392376e-03 - - 2.0339429378509521e-01 5.3372788429260254e-01 - <_> - - 0 -1 518 1.9628470763564110e-03 - - 4.5716339349746704e-01 6.7258632183074951e-01 - <_> - - 0 -1 519 5.4260450415313244e-03 - - 5.2711081504821777e-01 2.8456708788871765e-01 - <_> - - 0 -1 520 4.9611460417509079e-04 - - 4.1383129358291626e-01 5.7185977697372437e-01 - <_> - - 0 -1 521 9.3728788197040558e-03 - - 5.2251511812210083e-01 2.8048470616340637e-01 - <_> - - 0 -1 522 6.0500897234305739e-04 - - 5.2367687225341797e-01 3.3145239949226379e-01 - <_> - - 0 -1 523 5.6792551185935736e-04 - - 4.5310598611831665e-01 6.2769711017608643e-01 - <_> - - 0 -1 524 2.4644339457154274e-02 - - 5.1308518648147583e-01 2.0171439647674561e-01 - <_> - - 0 -1 525 -1.0290450416505337e-02 - - 7.7865952253341675e-01 4.8766410350799561e-01 - <_> - - 0 -1 526 2.0629419013857841e-03 - - 4.2885988950729370e-01 5.8812642097473145e-01 - <_> - - 0 -1 527 -5.0519481301307678e-03 - - 3.5239779949188232e-01 5.2860087156295776e-01 - <_> - - 0 -1 528 -5.7692620903253555e-03 - - 6.8410861492156982e-01 4.5880940556526184e-01 - <_> - - 0 -1 529 -4.5789941214025021e-04 - - 3.5655200481414795e-01 5.4859781265258789e-01 - <_> - - 0 -1 530 -7.5918837683275342e-04 - - 3.3687931299209595e-01 5.2541971206665039e-01 - <_> - - 0 -1 531 -1.7737259622663260e-03 - - 3.4221610426902771e-01 5.4540151357650757e-01 - <_> - - 0 -1 532 -8.5610467940568924e-03 - - 6.5336120128631592e-01 4.4858568906784058e-01 - <_> - - 0 -1 533 1.7277270089834929e-03 - - 5.3075802326202393e-01 3.9253529906272888e-01 - <_> - - 0 -1 534 -2.8199609369039536e-02 - - 6.8574589490890503e-01 4.5885840058326721e-01 - <_> - - 0 -1 535 -1.7781109781935811e-03 - - 4.0378510951995850e-01 5.3698569536209106e-01 - <_> - - 0 -1 536 3.3177141449414194e-04 - - 5.3997987508773804e-01 3.7057501077651978e-01 - <_> - - 0 -1 537 2.6385399978607893e-03 - - 4.6654370427131653e-01 6.4527308940887451e-01 - <_> - - 0 -1 538 -2.1183069329708815e-03 - - 5.9147810935974121e-01 4.0646770596504211e-01 - <_> - - 0 -1 539 -1.4773289673030376e-02 - - 3.6420381069183350e-01 5.2947628498077393e-01 - <_> - - 0 -1 540 -1.6815440729260445e-02 - - 2.6642319560050964e-01 5.1449728012084961e-01 - <_> - - 0 -1 541 -6.3370140269398689e-03 - - 6.7795312404632568e-01 4.8520979285240173e-01 - <_> - - 0 -1 542 -4.4560048991115764e-05 - - 5.6139647960662842e-01 4.1530540585517883e-01 - <_> - - 0 -1 543 -1.0240620467811823e-03 - - 5.9644782543182373e-01 4.5663040876388550e-01 - <_> - - 0 -1 544 -2.3161689750850201e-03 - - 2.9761150479316711e-01 5.1881599426269531e-01 - <_> - - 0 -1 545 5.3217571973800659e-01 - - 5.1878392696380615e-01 2.2026319801807404e-01 - <_> - - 0 -1 546 -1.6643050312995911e-01 - - 1.8660229444503784e-01 5.0603431463241577e-01 - <_> - - 0 -1 547 1.1253529787063599e-01 - - 5.2121251821517944e-01 1.1850229650735855e-01 - <_> - - 0 -1 548 9.3046864494681358e-03 - - 4.5899370312690735e-01 6.8261492252349854e-01 - <_> - - 0 -1 549 -4.6255099587142467e-03 - - 3.0799409747123718e-01 5.2250087261199951e-01 - <_> - - 0 -1 550 -1.1116469651460648e-01 - - 2.1010440587997437e-01 5.0808018445968628e-01 - <_> - - 0 -1 551 -1.0888439603149891e-02 - - 5.7653552293777466e-01 4.7904640436172485e-01 - <_> - - 0 -1 552 5.8564301580190659e-03 - - 5.0651001930236816e-01 1.5635989606380463e-01 - <_> - - 0 -1 553 5.4854389280080795e-02 - - 4.9669149518013000e-01 7.2305107116699219e-01 - <_> - - 0 -1 554 -1.1197339743375778e-02 - - 2.1949790418148041e-01 5.0987982749938965e-01 - <_> - - 0 -1 555 4.4069071300327778e-03 - - 4.7784018516540527e-01 6.7709028720855713e-01 - <_> - - 0 -1 556 -6.3665293157100677e-02 - - 1.9363629817962646e-01 5.0810241699218750e-01 - <_> - - 0 -1 557 -9.8081491887569427e-03 - - 5.9990632534027100e-01 4.8103410005569458e-01 - <_> - - 0 -1 558 -2.1717099007219076e-03 - - 3.3383339643478394e-01 5.2354729175567627e-01 - <_> - - 0 -1 559 -1.3315520249307156e-02 - - 6.6170698404312134e-01 4.9192130565643311e-01 - <_> - - 0 -1 560 2.5442079640924931e-03 - - 4.4887441396713257e-01 6.0821849107742310e-01 - <_> - - 0 -1 561 1.2037839740514755e-02 - - 5.4093921184539795e-01 3.2924321293830872e-01 - <_> - - 0 -1 562 -2.0701050758361816e-02 - - 6.8191200494766235e-01 4.5949959754943848e-01 - <_> - - 0 -1 563 2.7608279138803482e-02 - - 4.6307921409606934e-01 5.7672828435897827e-01 - <_> - - 0 -1 564 1.2370620388537645e-03 - - 5.1653790473937988e-01 2.6350161433219910e-01 - <_> - - 0 -1 565 -3.7669338285923004e-02 - - 2.5363931059837341e-01 5.2789801359176636e-01 - <_> - - 0 -1 566 -1.8057259730994701e-03 - - 3.9851561188697815e-01 5.5175000429153442e-01 - <_> - 111 - 5.4620071411132812e+01 - - <_> - - 0 -1 567 4.4299028813838959e-03 - - 2.8910180926322937e-01 6.3352262973785400e-01 - <_> - - 0 -1 568 -2.3813319858163595e-03 - - 6.2117892503738403e-01 3.4774878621101379e-01 - <_> - - 0 -1 569 2.2915711160749197e-03 - - 2.2544120252132416e-01 5.5821180343627930e-01 - <_> - - 0 -1 570 9.9457940086722374e-04 - - 3.7117108702659607e-01 5.9300708770751953e-01 - <_> - - 0 -1 571 7.7164667891338468e-04 - - 5.6517201662063599e-01 3.3479958772659302e-01 - <_> - - 0 -1 572 -1.1386410333216190e-03 - - 3.0691260099411011e-01 5.5086308717727661e-01 - <_> - - 0 -1 573 -1.6403039626311511e-04 - - 5.7628279924392700e-01 3.6990478634834290e-01 - <_> - - 0 -1 574 2.9793529392918572e-05 - - 2.6442441344261169e-01 5.4379111528396606e-01 - <_> - - 0 -1 575 8.5774902254343033e-03 - - 5.0511389970779419e-01 1.7957249283790588e-01 - <_> - - 0 -1 576 -2.6032689493149519e-04 - - 5.8269691467285156e-01 4.4468268752098083e-01 - <_> - - 0 -1 577 -6.1404630541801453e-03 - - 3.1138521432876587e-01 5.3469717502593994e-01 - <_> - - 0 -1 578 -2.3086950182914734e-02 - - 3.2779461145401001e-01 5.3311979770660400e-01 - <_> - - 0 -1 579 -1.4243650250136852e-02 - - 7.3817098140716553e-01 4.5880630612373352e-01 - <_> - - 0 -1 580 1.9487129524350166e-02 - - 5.2566307783126831e-01 2.2744719684123993e-01 - <_> - - 0 -1 581 -9.6681108698248863e-04 - - 5.5112308263778687e-01 3.8150069117546082e-01 - <_> - - 0 -1 582 3.1474709976464510e-03 - - 5.4256367683410645e-01 2.5437268614768982e-01 - <_> - - 0 -1 583 -1.8026070029009134e-04 - - 5.3801918029785156e-01 3.4063041210174561e-01 - <_> - - 0 -1 584 -6.0266260989010334e-03 - - 3.0358019471168518e-01 5.4205721616744995e-01 - <_> - - 0 -1 585 4.4462960795499384e-04 - - 3.9909970760345459e-01 5.6601101160049438e-01 - <_> - - 0 -1 586 2.2609760053455830e-03 - - 5.5628067255020142e-01 3.9406880736351013e-01 - <_> - - 0 -1 587 5.1133058965206146e-02 - - 4.6096539497375488e-01 7.1185618638992310e-01 - <_> - - 0 -1 588 -1.7786309123039246e-02 - - 2.3161660134792328e-01 5.3221440315246582e-01 - <_> - - 0 -1 589 -4.9679628573358059e-03 - - 2.3307719826698303e-01 5.1220291852951050e-01 - <_> - - 0 -1 590 2.0667689386755228e-03 - - 4.6574440598487854e-01 6.4554882049560547e-01 - <_> - - 0 -1 591 7.4413768015801907e-03 - - 5.1543921232223511e-01 2.3616339266300201e-01 - <_> - - 0 -1 592 -3.6277279723435640e-03 - - 6.2197732925415039e-01 4.4766610860824585e-01 - <_> - - 0 -1 593 -5.3530759178102016e-03 - - 1.8373550474643707e-01 5.1022082567214966e-01 - <_> - - 0 -1 594 1.4530919492244720e-01 - - 5.1459872722625732e-01 1.5359309315681458e-01 - <_> - - 0 -1 595 2.4394490756094456e-03 - - 5.3436601161956787e-01 3.6246618628501892e-01 - <_> - - 0 -1 596 -3.1283390708267689e-03 - - 6.2150079011917114e-01 4.8455920815467834e-01 - <_> - - 0 -1 597 1.7940260004252195e-03 - - 4.2992618680000305e-01 5.8241981267929077e-01 - <_> - - 0 -1 598 3.6253821104764938e-02 - - 5.2603340148925781e-01 1.4394679665565491e-01 - <_> - - 0 -1 599 -5.1746722310781479e-03 - - 3.5065388679504395e-01 5.2870452404022217e-01 - <_> - - 0 -1 600 6.5383297624066472e-04 - - 4.8096409440040588e-01 6.1220401525497437e-01 - <_> - - 0 -1 601 -2.6480229571461678e-02 - - 1.1393620073795319e-01 5.0455862283706665e-01 - <_> - - 0 -1 602 -3.0440660193562508e-03 - - 6.3520950078964233e-01 4.7947341203689575e-01 - <_> - - 0 -1 603 3.6993520334362984e-03 - - 5.1311182975769043e-01 2.4985109269618988e-01 - <_> - - 0 -1 604 -3.6762931267730892e-04 - - 5.4213947057723999e-01 3.7095320224761963e-01 - <_> - - 0 -1 605 -4.1382260620594025e-02 - - 1.8949599564075470e-01 5.0816917419433594e-01 - <_> - - 0 -1 606 -1.0532729793339968e-03 - - 6.4543670415878296e-01 4.7836089134216309e-01 - <_> - - 0 -1 607 -2.1648600231856108e-03 - - 6.2150311470031738e-01 4.4998261332511902e-01 - <_> - - 0 -1 608 -5.6747748749330640e-04 - - 3.7126109004020691e-01 5.4193347692489624e-01 - <_> - - 0 -1 609 1.7375840246677399e-01 - - 5.0236439704895020e-01 1.2157420068979263e-01 - <_> - - 0 -1 610 -2.9049699660390615e-03 - - 3.2402679324150085e-01 5.3818839788436890e-01 - <_> - - 0 -1 611 1.2299539521336555e-03 - - 4.1655078530311584e-01 5.7034862041473389e-01 - <_> - - 0 -1 612 -5.4329237900674343e-04 - - 3.8540428876876831e-01 5.5475491285324097e-01 - <_> - - 0 -1 613 -8.3297258242964745e-03 - - 2.2044940292835236e-01 5.0970828533172607e-01 - <_> - - 0 -1 614 -1.0417630255687982e-04 - - 5.6070661544799805e-01 4.3030360341072083e-01 - <_> - - 0 -1 615 3.1204700469970703e-02 - - 4.6216571331024170e-01 6.9820040464401245e-01 - <_> - - 0 -1 616 7.8943502157926559e-03 - - 5.2695941925048828e-01 2.2690680623054504e-01 - <_> - - 0 -1 617 -4.3645310215651989e-03 - - 6.3592231273651123e-01 4.5379561185836792e-01 - <_> - - 0 -1 618 7.6793059706687927e-03 - - 5.2747678756713867e-01 2.7404838800430298e-01 - <_> - - 0 -1 619 -2.5431139394640923e-02 - - 2.0385199785232544e-01 5.0717329978942871e-01 - <_> - - 0 -1 620 8.2000601105391979e-04 - - 4.5874550938606262e-01 6.1198681592941284e-01 - <_> - - 0 -1 621 2.9284600168466568e-03 - - 5.0712740421295166e-01 2.0282049477100372e-01 - <_> - - 0 -1 622 4.5256470912136137e-05 - - 4.8121041059494019e-01 5.4308217763900757e-01 - <_> - - 0 -1 623 1.3158309739083052e-03 - - 4.6258139610290527e-01 6.7793232202529907e-01 - <_> - - 0 -1 624 1.5870389761403203e-03 - - 5.3862917423248291e-01 3.4314650297164917e-01 - <_> - - 0 -1 625 -2.1539660170674324e-02 - - 2.5942500680685043e-02 5.0032228231430054e-01 - <_> - - 0 -1 626 1.4334480278193951e-02 - - 5.2028447389602661e-01 1.5906329452991486e-01 - <_> - - 0 -1 627 -8.3881383761763573e-03 - - 7.2824811935424805e-01 4.6480441093444824e-01 - <_> - - 0 -1 628 9.1906841844320297e-03 - - 5.5623567104339600e-01 3.9231911301612854e-01 - <_> - - 0 -1 629 -5.8453059755265713e-03 - - 6.8033927679061890e-01 4.6291279792785645e-01 - <_> - - 0 -1 630 -5.4707799106836319e-02 - - 2.5616711378097534e-01 5.2061259746551514e-01 - <_> - - 0 -1 631 9.1142775490880013e-03 - - 5.1896202564239502e-01 3.0538770556449890e-01 - <_> - - 0 -1 632 -1.5575000084936619e-02 - - 1.2950749695301056e-01 5.1690948009490967e-01 - <_> - - 0 -1 633 -1.2050600344082341e-04 - - 5.7350981235504150e-01 4.2308250069618225e-01 - <_> - - 0 -1 634 1.2273970060050488e-03 - - 5.2898782491683960e-01 4.0797919034957886e-01 - <_> - - 0 -1 635 -1.2186600361019373e-03 - - 6.5756398439407349e-01 4.5744091272354126e-01 - <_> - - 0 -1 636 -3.3256649039685726e-03 - - 3.6280471086502075e-01 5.1950198411941528e-01 - <_> - - 0 -1 637 -1.3288309797644615e-02 - - 1.2842659652233124e-01 5.0434887409210205e-01 - <_> - - 0 -1 638 -3.3839771058410406e-03 - - 6.2922400236129761e-01 4.7575059533119202e-01 - <_> - - 0 -1 639 -2.1954220533370972e-01 - - 1.4877319335937500e-01 5.0650137662887573e-01 - <_> - - 0 -1 640 4.9111708067357540e-03 - - 4.2561021447181702e-01 5.6658387184143066e-01 - <_> - - 0 -1 641 -1.8744950648397207e-04 - - 4.0041440725326538e-01 5.5868571996688843e-01 - <_> - - 0 -1 642 -5.2178641781210899e-03 - - 6.0091161727905273e-01 4.8127061128616333e-01 - <_> - - 0 -1 643 -1.1111519997939467e-03 - - 3.5149338841438293e-01 5.2870899438858032e-01 - <_> - - 0 -1 644 4.4036400504410267e-03 - - 4.6422758698463440e-01 5.9240859746932983e-01 - <_> - - 0 -1 645 1.2299499660730362e-01 - - 5.0255292654037476e-01 6.9152481853961945e-02 - <_> - - 0 -1 646 -1.2313510291278362e-02 - - 5.8845919370651245e-01 4.9340128898620605e-01 - <_> - - 0 -1 647 4.1471039876341820e-03 - - 4.3722391128540039e-01 5.8934777975082397e-01 - <_> - - 0 -1 648 -3.5502649843692780e-03 - - 4.3275511264801025e-01 5.3962701559066772e-01 - <_> - - 0 -1 649 -1.9224269315600395e-02 - - 1.9131340086460114e-01 5.0683307647705078e-01 - <_> - - 0 -1 650 1.4395059552043676e-03 - - 5.3081780672073364e-01 4.2435330152511597e-01 - <_> - - 0 -1 651 -6.7751999013125896e-03 - - 6.3653957843780518e-01 4.5400860905647278e-01 - <_> - - 0 -1 652 7.0119630545377731e-03 - - 5.1898342370986938e-01 3.0261999368667603e-01 - <_> - - 0 -1 653 5.4014651104807854e-03 - - 5.1050621271133423e-01 2.5576829910278320e-01 - <_> - - 0 -1 654 9.0274988906458020e-04 - - 4.6969148516654968e-01 5.8618277311325073e-01 - <_> - - 0 -1 655 1.1474450118839741e-02 - - 5.0536459684371948e-01 1.5271779894828796e-01 - <_> - - 0 -1 656 -6.7023430019617081e-03 - - 6.5089809894561768e-01 4.8906040191650391e-01 - <_> - - 0 -1 657 -2.0462959073483944e-03 - - 6.2418168783187866e-01 4.5146000385284424e-01 - <_> - - 0 -1 658 -9.9951568990945816e-03 - - 3.4327811002731323e-01 5.4009538888931274e-01 - <_> - - 0 -1 659 -3.5700708627700806e-02 - - 1.8780590593814850e-01 5.0740778446197510e-01 - <_> - - 0 -1 660 4.5584561303257942e-04 - - 3.8052770495414734e-01 5.4025697708129883e-01 - <_> - - 0 -1 661 -5.4260600358247757e-02 - - 6.8437147140502930e-01 4.5950970053672791e-01 - <_> - - 0 -1 662 6.0600461438298225e-03 - - 5.5029052495956421e-01 4.5005279779434204e-01 - <_> - - 0 -1 663 -6.4791832119226456e-03 - - 3.3688580989837646e-01 5.3107571601867676e-01 - <_> - - 0 -1 664 -1.4939469983801246e-03 - - 6.4876401424407959e-01 4.7561758756637573e-01 - <_> - - 0 -1 665 1.4610530342906713e-05 - - 4.0345790982246399e-01 5.4510641098022461e-01 - <_> - - 0 -1 666 -7.2321938350796700e-03 - - 6.3868737220764160e-01 4.8247399926185608e-01 - <_> - - 0 -1 667 -4.0645818226039410e-03 - - 2.9864218831062317e-01 5.1573359966278076e-01 - <_> - - 0 -1 668 3.0463080853223801e-02 - - 5.0221997499465942e-01 7.1599560976028442e-01 - <_> - - 0 -1 669 -8.0544911324977875e-03 - - 6.4924520254135132e-01 4.6192750334739685e-01 - <_> - - 0 -1 670 3.9505138993263245e-02 - - 5.1505708694458008e-01 2.4506139755249023e-01 - <_> - - 0 -1 671 8.4530208259820938e-03 - - 4.5736691355705261e-01 6.3940370082855225e-01 - <_> - - 0 -1 672 -1.1688120430335402e-03 - - 3.8655120134353638e-01 5.4836612939834595e-01 - <_> - - 0 -1 673 2.8070670086890459e-03 - - 5.1285791397094727e-01 2.7014800906181335e-01 - <_> - - 0 -1 674 4.7365209320560098e-04 - - 4.0515819191932678e-01 5.3874611854553223e-01 - <_> - - 0 -1 675 1.1741080321371555e-02 - - 5.2959501743316650e-01 3.7194138765335083e-01 - <_> - - 0 -1 676 3.1833238899707794e-03 - - 4.7894069552421570e-01 6.8951261043548584e-01 - <_> - - 0 -1 677 7.0241501089185476e-04 - - 5.3844892978668213e-01 3.9180809259414673e-01 - <_> - 102 - 5.0169731140136719e+01 - - <_> - - 0 -1 678 1.7059929668903351e-02 - - 3.9485278725624084e-01 7.1425348520278931e-01 - <_> - - 0 -1 679 2.1840840578079224e-02 - - 3.3703160285949707e-01 6.0900169610977173e-01 - <_> - - 0 -1 680 2.4520049919374287e-04 - - 3.5005760192871094e-01 5.9879022836685181e-01 - <_> - - 0 -1 681 8.3272606134414673e-03 - - 3.2675281167030334e-01 5.6972408294677734e-01 - <_> - - 0 -1 682 5.7148298947140574e-04 - - 3.0445998907089233e-01 5.5316567420959473e-01 - <_> - - 0 -1 683 6.7373987985774875e-04 - - 3.6500120162963867e-01 5.6726312637329102e-01 - <_> - - 0 -1 684 3.4681590477703139e-05 - - 3.3135411143302917e-01 5.3887271881103516e-01 - <_> - - 0 -1 685 -5.8563398197293282e-03 - - 2.6979428529739380e-01 5.4987788200378418e-01 - <_> - - 0 -1 686 8.5102273151278496e-03 - - 5.2693581581115723e-01 2.7628791332244873e-01 - <_> - - 0 -1 687 -6.9817207753658295e-02 - - 2.9096031188964844e-01 5.2592468261718750e-01 - <_> - - 0 -1 688 -8.6113670840859413e-04 - - 5.8925771713256836e-01 4.0736979246139526e-01 - <_> - - 0 -1 689 9.7149249631911516e-04 - - 3.5235640406608582e-01 5.4158622026443481e-01 - <_> - - 0 -1 690 -1.4727490452060010e-05 - - 5.4230177402496338e-01 3.5031560063362122e-01 - <_> - - 0 -1 691 4.8420291393995285e-02 - - 5.1939457654953003e-01 3.4111958742141724e-01 - <_> - - 0 -1 692 1.3257140526548028e-03 - - 3.1577691435813904e-01 5.3353762626647949e-01 - <_> - - 0 -1 693 1.4922149603080470e-05 - - 4.4512999057769775e-01 5.5365538597106934e-01 - <_> - - 0 -1 694 -2.7173398993909359e-03 - - 3.0317419767379761e-01 5.2480888366699219e-01 - <_> - - 0 -1 695 2.9219500720500946e-03 - - 4.7814530134201050e-01 6.6060417890548706e-01 - <_> - - 0 -1 696 -1.9804988987743855e-03 - - 3.1863081455230713e-01 5.2876251935958862e-01 - <_> - - 0 -1 697 -4.0012109093368053e-03 - - 6.4135968685150146e-01 4.7499281167984009e-01 - <_> - - 0 -1 698 -4.3491991236805916e-03 - - 1.5074980258941650e-01 5.0989967584609985e-01 - <_> - - 0 -1 699 1.3490889687091112e-03 - - 4.3161588907241821e-01 5.8811670541763306e-01 - <_> - - 0 -1 700 1.8597070127725601e-02 - - 4.7355538606643677e-01 9.0897941589355469e-01 - <_> - - 0 -1 701 -1.8562379991635680e-03 - - 3.5531890392303467e-01 5.5778372287750244e-01 - <_> - - 0 -1 702 2.2940430790185928e-03 - - 4.5000949501991272e-01 6.5808779001235962e-01 - <_> - - 0 -1 703 2.9982850537635386e-04 - - 5.6292420625686646e-01 3.9758789539337158e-01 - <_> - - 0 -1 704 3.5455459728837013e-03 - - 5.3815472126007080e-01 3.6054858565330505e-01 - <_> - - 0 -1 705 9.6104722470045090e-03 - - 5.2559971809387207e-01 1.7967459559440613e-01 - <_> - - 0 -1 706 -6.2783220782876015e-03 - - 2.2728569805622101e-01 5.1140302419662476e-01 - <_> - - 0 -1 707 3.4598479978740215e-03 - - 4.6263080835342407e-01 6.6082191467285156e-01 - <_> - - 0 -1 708 -1.3112019514665008e-03 - - 6.3175398111343384e-01 4.4368579983711243e-01 - <_> - - 0 -1 709 2.6876179035753012e-03 - - 5.4211097955703735e-01 4.0540221333503723e-01 - <_> - - 0 -1 710 3.9118169806897640e-03 - - 5.3584778308868408e-01 3.2734549045562744e-01 - <_> - - 0 -1 711 -1.4206450432538986e-02 - - 7.7935767173767090e-01 4.9757811427116394e-01 - <_> - - 0 -1 712 7.1705528534948826e-04 - - 5.2973198890686035e-01 3.5609039664268494e-01 - <_> - - 0 -1 713 1.6635019565001130e-03 - - 4.6780940890312195e-01 5.8164817094802856e-01 - <_> - - 0 -1 714 3.3686188980937004e-03 - - 5.2767342329025269e-01 3.4464201331138611e-01 - <_> - - 0 -1 715 1.2799530290067196e-02 - - 4.8346799612045288e-01 7.4721592664718628e-01 - <_> - - 0 -1 716 3.3901201095432043e-03 - - 4.5118591189384460e-01 6.4017212390899658e-01 - <_> - - 0 -1 717 4.7070779837667942e-03 - - 5.3356587886810303e-01 3.5552209615707397e-01 - <_> - - 0 -1 718 1.4819339849054813e-03 - - 4.2507070302963257e-01 5.7727241516113281e-01 - <_> - - 0 -1 719 -6.9995759986341000e-03 - - 3.0033200979232788e-01 5.2929002046585083e-01 - <_> - - 0 -1 720 1.5939010307192802e-02 - - 5.0673192739486694e-01 1.6755819320678711e-01 - <_> - - 0 -1 721 7.6377349905669689e-03 - - 4.7950699925422668e-01 7.0856010913848877e-01 - <_> - - 0 -1 722 6.7334040068089962e-03 - - 5.1331132650375366e-01 2.1624700725078583e-01 - <_> - - 0 -1 723 -1.2858809903264046e-02 - - 1.9388419389724731e-01 5.2513718605041504e-01 - <_> - - 0 -1 724 -6.2270800117403269e-04 - - 5.6865382194519043e-01 4.1978681087493896e-01 - <_> - - 0 -1 725 -5.2651681471616030e-04 - - 4.2241689562797546e-01 5.4296958446502686e-01 - <_> - - 0 -1 726 1.1075099930167198e-02 - - 5.1137751340866089e-01 2.5145179033279419e-01 - <_> - - 0 -1 727 -3.6728251725435257e-02 - - 7.1946620941162109e-01 4.8496189713478088e-01 - <_> - - 0 -1 728 -2.8207109426148236e-04 - - 3.8402619957923889e-01 5.3944462537765503e-01 - <_> - - 0 -1 729 -2.7489690110087395e-03 - - 5.9370887279510498e-01 4.5691820979118347e-01 - <_> - - 0 -1 730 1.0047519579529762e-02 - - 5.1385760307312012e-01 2.8022980690002441e-01 - <_> - - 0 -1 731 -8.1497840583324432e-03 - - 6.0900372266769409e-01 4.6361210942268372e-01 - <_> - - 0 -1 732 -6.8833888508379459e-03 - - 3.4586110711097717e-01 5.2546602487564087e-01 - <_> - - 0 -1 733 -1.4039360394235700e-05 - - 5.6931042671203613e-01 4.0820831060409546e-01 - <_> - - 0 -1 734 1.5498419525101781e-03 - - 4.3505370616912842e-01 5.8065170049667358e-01 - <_> - - 0 -1 735 -6.7841499112546444e-03 - - 1.4688730239868164e-01 5.1827752590179443e-01 - <_> - - 0 -1 736 2.1705629478674382e-04 - - 5.2935242652893066e-01 3.4561741352081299e-01 - <_> - - 0 -1 737 3.1198898795992136e-04 - - 4.6524509787559509e-01 5.9424138069152832e-01 - <_> - - 0 -1 738 5.4507530294358730e-03 - - 4.6535089612007141e-01 7.0248460769653320e-01 - <_> - - 0 -1 739 -2.5818689027801156e-04 - - 5.4972952604293823e-01 3.7689670920372009e-01 - <_> - - 0 -1 740 -1.7442539334297180e-02 - - 3.9190879464149475e-01 5.4574978351593018e-01 - <_> - - 0 -1 741 -4.5343529433012009e-02 - - 1.6313570737838745e-01 5.1549088954925537e-01 - <_> - - 0 -1 742 1.9190689781680703e-03 - - 5.1458978652954102e-01 2.7918958663940430e-01 - <_> - - 0 -1 743 -6.0177869163453579e-03 - - 6.5176361799240112e-01 4.7563329339027405e-01 - <_> - - 0 -1 744 -4.0720738470554352e-03 - - 5.5146527290344238e-01 4.0926858782768250e-01 - <_> - - 0 -1 745 3.9855059003457427e-04 - - 3.1652408838272095e-01 5.2855509519577026e-01 - <_> - - 0 -1 746 -6.5418570302426815e-03 - - 6.8533778190612793e-01 4.6528089046478271e-01 - <_> - - 0 -1 747 3.4845089539885521e-03 - - 5.4845881462097168e-01 4.5027598738670349e-01 - <_> - - 0 -1 748 -1.3696780428290367e-02 - - 6.3957798480987549e-01 4.5725551247596741e-01 - <_> - - 0 -1 749 -1.7347140237689018e-02 - - 2.7510729432106018e-01 5.1816147565841675e-01 - <_> - - 0 -1 750 -4.0885428898036480e-03 - - 3.3256360888481140e-01 5.1949840784072876e-01 - <_> - - 0 -1 751 -9.4687901437282562e-03 - - 5.9422808885574341e-01 4.8518198728561401e-01 - <_> - - 0 -1 752 1.7084840219467878e-03 - - 4.1671109199523926e-01 5.5198061466217041e-01 - <_> - - 0 -1 753 9.4809094443917274e-03 - - 5.4338949918746948e-01 4.2085149884223938e-01 - <_> - - 0 -1 754 -4.7389650717377663e-03 - - 6.4071899652481079e-01 4.5606550574302673e-01 - <_> - - 0 -1 755 6.5761050209403038e-03 - - 5.2145552635192871e-01 2.2582270205020905e-01 - <_> - - 0 -1 756 -2.1690549328923225e-03 - - 3.1515279412269592e-01 5.1567047834396362e-01 - <_> - - 0 -1 757 1.4660170301795006e-02 - - 4.8708370327949524e-01 6.6899412870407104e-01 - <_> - - 0 -1 758 1.7231999663636088e-04 - - 3.5697489976882935e-01 5.2510780096054077e-01 - <_> - - 0 -1 759 -2.1803760901093483e-02 - - 8.8259208202362061e-01 4.9663299322128296e-01 - <_> - - 0 -1 760 -9.4736106693744659e-02 - - 1.4461620151996613e-01 5.0611138343811035e-01 - <_> - - 0 -1 761 5.5825551971793175e-03 - - 5.3964787721633911e-01 4.2380660772323608e-01 - <_> - - 0 -1 762 1.9517090404406190e-03 - - 4.1704109311103821e-01 5.4977869987487793e-01 - <_> - - 0 -1 763 1.2149900197982788e-02 - - 4.6983671188354492e-01 5.6642740964889526e-01 - <_> - - 0 -1 764 -7.5169620104134083e-03 - - 6.2677729129791260e-01 4.4631358981132507e-01 - <_> - - 0 -1 765 -7.1667909622192383e-02 - - 3.0970111489295959e-01 5.2210032939910889e-01 - <_> - - 0 -1 766 -8.8292419910430908e-02 - - 8.1123888492584229e-02 5.0063651800155640e-01 - <_> - - 0 -1 767 3.1063079833984375e-02 - - 5.1555037498474121e-01 1.2822559475898743e-01 - <_> - - 0 -1 768 4.6621840447187424e-02 - - 4.6997779607772827e-01 7.3639607429504395e-01 - <_> - - 0 -1 769 -1.2189489789307117e-02 - - 3.9205300807952881e-01 5.5189967155456543e-01 - <_> - - 0 -1 770 1.3016110286116600e-02 - - 5.2606582641601562e-01 3.6851361393928528e-01 - <_> - - 0 -1 771 -3.4952899441123009e-03 - - 6.3392949104309082e-01 4.7162809967994690e-01 - <_> - - 0 -1 772 -4.4015039748046547e-05 - - 5.3330272436141968e-01 3.7761849164962769e-01 - <_> - - 0 -1 773 -1.0966490209102631e-01 - - 1.7653420567512512e-01 5.1983469724655151e-01 - <_> - - 0 -1 774 -9.0279558207839727e-04 - - 5.3241598606109619e-01 3.8389080762863159e-01 - <_> - - 0 -1 775 7.1126641705632210e-04 - - 4.6479299664497375e-01 5.7552242279052734e-01 - <_> - - 0 -1 776 -3.1250279862433672e-03 - - 3.2367089390754700e-01 5.1667708158493042e-01 - <_> - - 0 -1 777 2.4144679773598909e-03 - - 4.7874391078948975e-01 6.4597177505493164e-01 - <_> - - 0 -1 778 4.4391240226104856e-04 - - 4.4093081355094910e-01 6.0102558135986328e-01 - <_> - - 0 -1 779 -2.2611189342569560e-04 - - 4.0381139516830444e-01 5.4932558536529541e-01 - <_> - 135 - 6.6669120788574219e+01 - - <_> - - 0 -1 780 -4.6901289373636246e-02 - - 6.6001719236373901e-01 3.7438011169433594e-01 - <_> - - 0 -1 781 -1.4568349579349160e-03 - - 5.7839912176132202e-01 3.4377971291542053e-01 - <_> - - 0 -1 782 5.5598369799554348e-03 - - 3.6222669482231140e-01 5.9082162380218506e-01 - <_> - - 0 -1 783 7.3170487303286791e-04 - - 5.5004191398620605e-01 2.8735581040382385e-01 - <_> - - 0 -1 784 1.3318009441718459e-03 - - 2.6731699705123901e-01 5.4310190677642822e-01 - <_> - - 0 -1 785 2.4347059661522508e-04 - - 3.8550278544425964e-01 5.7413887977600098e-01 - <_> - - 0 -1 786 -3.0512469820678234e-03 - - 5.5032098293304443e-01 3.4628450870513916e-01 - <_> - - 0 -1 787 -6.8657199153676629e-04 - - 3.2912218570709229e-01 5.4295092821121216e-01 - <_> - - 0 -1 788 1.4668200165033340e-03 - - 3.5883820056915283e-01 5.3518110513687134e-01 - <_> - - 0 -1 789 3.2021870720200241e-04 - - 4.2968419194221497e-01 5.7002341747283936e-01 - <_> - - 0 -1 790 7.4122188379988074e-04 - - 5.2821648120880127e-01 3.3668708801269531e-01 - <_> - - 0 -1 791 3.8330298848450184e-03 - - 4.5595678687095642e-01 6.2573361396789551e-01 - <_> - - 0 -1 792 -1.5456439927220345e-02 - - 2.3501169681549072e-01 5.1294529438018799e-01 - <_> - - 0 -1 793 2.6796779129654169e-03 - - 5.3294152021408081e-01 4.1550621390342712e-01 - <_> - - 0 -1 794 2.8296569362282753e-03 - - 4.2730879783630371e-01 5.8045381307601929e-01 - <_> - - 0 -1 795 -3.9444249123334885e-03 - - 2.9126119613647461e-01 5.2026861906051636e-01 - <_> - - 0 -1 796 2.7179559692740440e-03 - - 5.3076881170272827e-01 3.5856771469116211e-01 - <_> - - 0 -1 797 5.9077627956867218e-03 - - 4.7037750482559204e-01 5.9415858983993530e-01 - <_> - - 0 -1 798 -4.2240349575877190e-03 - - 2.1415670216083527e-01 5.0887960195541382e-01 - <_> - - 0 -1 799 4.0725888684391975e-03 - - 4.7664138674736023e-01 6.8410611152648926e-01 - <_> - - 0 -1 800 1.0149530135095119e-02 - - 5.3607988357543945e-01 3.7484970688819885e-01 - <_> - - 0 -1 801 -1.8864999583456665e-04 - - 5.7201302051544189e-01 3.8538050651550293e-01 - <_> - - 0 -1 802 -4.8864358104765415e-03 - - 3.6931228637695312e-01 5.3409588336944580e-01 - <_> - - 0 -1 803 2.6158479973673820e-02 - - 4.9623748660087585e-01 6.0599899291992188e-01 - <_> - - 0 -1 804 4.8560759751126170e-04 - - 4.4389459490776062e-01 6.0124689340591431e-01 - <_> - - 0 -1 805 1.1268709786236286e-02 - - 5.2442502975463867e-01 1.8403880298137665e-01 - <_> - - 0 -1 806 -2.8114619199186563e-03 - - 6.0602837800979614e-01 4.4098970293998718e-01 - <_> - - 0 -1 807 -5.6112729944288731e-03 - - 3.8911709189414978e-01 5.5892372131347656e-01 - <_> - - 0 -1 808 8.5680093616247177e-03 - - 5.0693458318710327e-01 2.0626190304756165e-01 - <_> - - 0 -1 809 -3.8172779022715986e-04 - - 5.8822017908096313e-01 4.1926109790802002e-01 - <_> - - 0 -1 810 -1.7680290329735726e-04 - - 5.5336058139801025e-01 4.0033689141273499e-01 - <_> - - 0 -1 811 6.5112537704408169e-03 - - 3.3101469278335571e-01 5.4441910982131958e-01 - <_> - - 0 -1 812 -6.5948683186434209e-05 - - 5.4338318109512329e-01 3.9449059963226318e-01 - <_> - - 0 -1 813 6.9939051754772663e-03 - - 5.6003582477569580e-01 4.1927140951156616e-01 - <_> - - 0 -1 814 -4.6744439750909805e-03 - - 6.6854667663574219e-01 4.6049609780311584e-01 - <_> - - 0 -1 815 1.1589850299060345e-02 - - 5.3571212291717529e-01 2.9268300533294678e-01 - <_> - - 0 -1 816 1.3007840141654015e-02 - - 4.6798178553581238e-01 7.3074632883071899e-01 - <_> - - 0 -1 817 -1.1008579749614000e-03 - - 3.9375010132789612e-01 5.4150652885437012e-01 - <_> - - 0 -1 818 6.0472649056464434e-04 - - 4.2423760890960693e-01 5.6040412187576294e-01 - <_> - - 0 -1 819 -1.4494840055704117e-02 - - 3.6312100291252136e-01 5.2931827306747437e-01 - <_> - - 0 -1 820 -5.3056948818266392e-03 - - 6.8604522943496704e-01 4.6218210458755493e-01 - <_> - - 0 -1 821 -8.1829127157106996e-04 - - 3.9440968632698059e-01 5.4204392433166504e-01 - <_> - - 0 -1 822 -1.9077520817518234e-02 - - 1.9626219570636749e-01 5.0378918647766113e-01 - <_> - - 0 -1 823 3.5549470339901745e-04 - - 4.0862590074539185e-01 5.6139731407165527e-01 - <_> - - 0 -1 824 1.9679730758070946e-03 - - 4.4891211390495300e-01 5.9261232614517212e-01 - <_> - - 0 -1 825 6.9189141504466534e-03 - - 5.3359258174896240e-01 3.7283858656883240e-01 - <_> - - 0 -1 826 2.9872779268771410e-03 - - 5.1113212108612061e-01 2.9756438732147217e-01 - <_> - - 0 -1 827 -6.2264618463814259e-03 - - 5.5414897203445435e-01 4.8245379328727722e-01 - <_> - - 0 -1 828 1.3353300280869007e-02 - - 4.5864239335060120e-01 6.4147979021072388e-01 - <_> - - 0 -1 829 3.3505238592624664e-02 - - 5.3924250602722168e-01 3.4299948811531067e-01 - <_> - - 0 -1 830 -2.5294460356235504e-03 - - 1.7037139832973480e-01 5.0133150815963745e-01 - <_> - - 0 -1 831 -1.2801629491150379e-03 - - 5.3054618835449219e-01 4.6974050998687744e-01 - <_> - - 0 -1 832 7.0687388069927692e-03 - - 4.6155458688735962e-01 6.4365047216415405e-01 - <_> - - 0 -1 833 9.6880499040707946e-04 - - 4.8335990309715271e-01 6.0438942909240723e-01 - <_> - - 0 -1 834 3.9647659286856651e-03 - - 5.1876372098922729e-01 3.2318168878555298e-01 - <_> - - 0 -1 835 -2.2057730704545975e-02 - - 4.0792569518089294e-01 5.2009809017181396e-01 - <_> - - 0 -1 836 -6.6906312713399529e-04 - - 5.3316092491149902e-01 3.8156008720397949e-01 - <_> - - 0 -1 837 -6.7009328631684184e-04 - - 5.6554222106933594e-01 4.6889019012451172e-01 - <_> - - 0 -1 838 7.4284552829340100e-04 - - 4.5343810319900513e-01 6.2874001264572144e-01 - <_> - - 0 -1 839 2.2227810695767403e-03 - - 5.3506332635879517e-01 3.3036559820175171e-01 - <_> - - 0 -1 840 -5.4130521602928638e-03 - - 1.1136870086193085e-01 5.0054347515106201e-01 - <_> - - 0 -1 841 -1.4520040167553816e-05 - - 5.6287378072738647e-01 4.3251338601112366e-01 - <_> - - 0 -1 842 2.3369169502984732e-04 - - 4.1658350825309753e-01 5.4477912187576294e-01 - <_> - - 0 -1 843 4.2894547805190086e-03 - - 4.8603910207748413e-01 6.7786490917205811e-01 - <_> - - 0 -1 844 5.9103150852024555e-03 - - 5.2623051404953003e-01 3.6121138930320740e-01 - <_> - - 0 -1 845 1.2900539673864841e-02 - - 5.3193771839141846e-01 3.2502880692481995e-01 - <_> - - 0 -1 846 4.6982979401946068e-03 - - 4.6182450652122498e-01 6.6659259796142578e-01 - <_> - - 0 -1 847 1.0439859703183174e-02 - - 5.5056709051132202e-01 3.8836041092872620e-01 - <_> - - 0 -1 848 3.0443191062659025e-03 - - 4.6978530287742615e-01 7.3018449544906616e-01 - <_> - - 0 -1 849 -6.1593751888722181e-04 - - 3.8308390974998474e-01 5.4649841785430908e-01 - <_> - - 0 -1 850 -3.4247159492224455e-03 - - 2.5663000345230103e-01 5.0895309448242188e-01 - <_> - - 0 -1 851 -9.3538565561175346e-03 - - 6.4699661731719971e-01 4.9407958984375000e-01 - <_> - - 0 -1 852 5.2338998764753342e-02 - - 4.7459828853607178e-01 7.8787708282470703e-01 - <_> - - 0 -1 853 3.5765620414167643e-03 - - 5.3066647052764893e-01 2.7484980225563049e-01 - <_> - - 0 -1 854 7.1555317845195532e-04 - - 5.4131257534027100e-01 4.0419089794158936e-01 - <_> - - 0 -1 855 -1.0516679845750332e-02 - - 6.1585122346878052e-01 4.8152831196784973e-01 - <_> - - 0 -1 856 7.7347927726805210e-03 - - 4.6958059072494507e-01 7.0289808511734009e-01 - <_> - - 0 -1 857 -4.3226778507232666e-03 - - 2.8495660424232483e-01 5.3046840429306030e-01 - <_> - - 0 -1 858 -2.5534399319440126e-03 - - 7.0569849014282227e-01 4.6888920664787292e-01 - <_> - - 0 -1 859 1.0268510231981054e-04 - - 3.9029321074485779e-01 5.5734640359878540e-01 - <_> - - 0 -1 860 7.1395188570022583e-06 - - 3.6842319369316101e-01 5.2639877796173096e-01 - <_> - - 0 -1 861 -1.6711989883333445e-03 - - 3.8491758704185486e-01 5.3872710466384888e-01 - <_> - - 0 -1 862 4.9260449595749378e-03 - - 4.7297719120979309e-01 7.4472510814666748e-01 - <_> - - 0 -1 863 4.3908702209591866e-03 - - 4.8091810941696167e-01 5.5919218063354492e-01 - <_> - - 0 -1 864 -1.7793629318475723e-02 - - 6.9036781787872314e-01 4.6769270300865173e-01 - <_> - - 0 -1 865 2.0469669252634048e-03 - - 5.3706902265548706e-01 3.3081620931625366e-01 - <_> - - 0 -1 866 2.9891489073634148e-02 - - 5.1398652791976929e-01 3.3090591430664062e-01 - <_> - - 0 -1 867 1.5494900289922953e-03 - - 4.6602371335029602e-01 6.0783427953720093e-01 - <_> - - 0 -1 868 1.4956969534978271e-03 - - 4.4048359990119934e-01 5.8639198541641235e-01 - <_> - - 0 -1 869 9.5885928021743894e-04 - - 5.4359710216522217e-01 4.2085230350494385e-01 - <_> - - 0 -1 870 4.9643701640889049e-04 - - 5.3705781698226929e-01 4.0006220340728760e-01 - <_> - - 0 -1 871 -2.7280810754746199e-03 - - 5.6594127416610718e-01 4.2596429586410522e-01 - <_> - - 0 -1 872 2.3026480339467525e-03 - - 5.1616579294204712e-01 3.3508691191673279e-01 - <_> - - 0 -1 873 2.5151631236076355e-01 - - 4.8696619272232056e-01 7.1473097801208496e-01 - <_> - - 0 -1 874 -4.6328022144734859e-03 - - 2.7274489402770996e-01 5.0837898254394531e-01 - <_> - - 0 -1 875 -4.0434490889310837e-02 - - 6.8514388799667358e-01 5.0217670202255249e-01 - <_> - - 0 -1 876 1.4972220014897175e-05 - - 4.2844650149345398e-01 5.5225551128387451e-01 - <_> - - 0 -1 877 -2.4050309730228037e-04 - - 4.2261189222335815e-01 5.3900748491287231e-01 - <_> - - 0 -1 878 2.3657839745283127e-02 - - 4.7446319460868835e-01 7.5043660402297974e-01 - <_> - - 0 -1 879 -8.1449104472994804e-03 - - 4.2450588941574097e-01 5.5383628606796265e-01 - <_> - - 0 -1 880 -3.6992130335420370e-03 - - 5.9523570537567139e-01 4.5297130942344666e-01 - <_> - - 0 -1 881 -6.7718601785600185e-03 - - 4.1377940773963928e-01 5.4733997583389282e-01 - <_> - - 0 -1 882 4.2669530957937241e-03 - - 4.4841149449348450e-01 5.7979941368103027e-01 - <_> - - 0 -1 883 1.7791989957913756e-03 - - 5.6248587369918823e-01 4.4324448704719543e-01 - <_> - - 0 -1 884 1.6774770338088274e-03 - - 4.6377518773078918e-01 6.3642418384552002e-01 - <_> - - 0 -1 885 1.1732629500329494e-03 - - 4.5445030927658081e-01 5.9144157171249390e-01 - <_> - - 0 -1 886 8.6998171173036098e-04 - - 5.3347527980804443e-01 3.8859179615974426e-01 - <_> - - 0 -1 887 7.6378340600058436e-04 - - 5.3985852003097534e-01 3.7449419498443604e-01 - <_> - - 0 -1 888 1.5684569370932877e-04 - - 4.3178731203079224e-01 5.6146162748336792e-01 - <_> - - 0 -1 889 -2.1511370316147804e-02 - - 1.7859250307083130e-01 5.1855427026748657e-01 - <_> - - 0 -1 890 1.3081369979772717e-04 - - 4.3424990773200989e-01 5.6828498840332031e-01 - <_> - - 0 -1 891 2.1992040798068047e-02 - - 5.1617169380187988e-01 2.3793940246105194e-01 - <_> - - 0 -1 892 -8.0136500764638186e-04 - - 5.9867632389068604e-01 4.4664269685745239e-01 - <_> - - 0 -1 893 -8.2736099138855934e-03 - - 4.1082179546356201e-01 5.2510571479797363e-01 - <_> - - 0 -1 894 3.6831789184361696e-03 - - 5.1738142967224121e-01 3.3975180983543396e-01 - <_> - - 0 -1 895 -7.9525681212544441e-03 - - 6.8889832496643066e-01 4.8459240794181824e-01 - <_> - - 0 -1 896 1.5382299898192286e-03 - - 5.1785671710968018e-01 3.4541139006614685e-01 - <_> - - 0 -1 897 -1.4043530449271202e-02 - - 1.6784210503101349e-01 5.1886677742004395e-01 - <_> - - 0 -1 898 1.4315890148282051e-03 - - 4.3682569265365601e-01 5.6557738780975342e-01 - <_> - - 0 -1 899 -3.4014228731393814e-02 - - 7.8022962808609009e-01 4.9592170119285583e-01 - <_> - - 0 -1 900 -1.2027299962937832e-02 - - 1.5851010382175446e-01 5.0322318077087402e-01 - <_> - - 0 -1 901 1.3316619396209717e-01 - - 5.1633048057556152e-01 2.7551281452178955e-01 - <_> - - 0 -1 902 -1.5221949433907866e-03 - - 3.7283179163932800e-01 5.2145522832870483e-01 - <_> - - 0 -1 903 -9.3929271679371595e-04 - - 5.8383792638778687e-01 4.5111650228500366e-01 - <_> - - 0 -1 904 2.7719739824533463e-02 - - 4.7282868623733521e-01 7.3315447568893433e-01 - <_> - - 0 -1 905 3.1030150130391121e-03 - - 5.3022021055221558e-01 4.1015630960464478e-01 - <_> - - 0 -1 906 7.7861219644546509e-02 - - 4.9983340501785278e-01 1.2729619443416595e-01 - <_> - - 0 -1 907 -1.5854939818382263e-02 - - 5.0833359360694885e-02 5.1656562089920044e-01 - <_> - - 0 -1 908 -4.9725300632417202e-03 - - 6.7981338500976562e-01 4.6842318773269653e-01 - <_> - - 0 -1 909 -9.7676506265997887e-04 - - 6.0107719898223877e-01 4.7889319062232971e-01 - <_> - - 0 -1 910 -2.4647710379213095e-03 - - 3.3933979272842407e-01 5.2205038070678711e-01 - <_> - - 0 -1 911 -6.7937700077891350e-03 - - 4.3651369214057922e-01 5.2396631240844727e-01 - <_> - - 0 -1 912 3.2608021050691605e-02 - - 5.0527238845825195e-01 2.4252149462699890e-01 - <_> - - 0 -1 913 -5.8514421107247472e-04 - - 5.7339739799499512e-01 4.7585740685462952e-01 - <_> - - 0 -1 914 -2.9632600024342537e-02 - - 3.8922891020774841e-01 5.2635979652404785e-01 - <_> - 137 - 6.7698921203613281e+01 - - <_> - - 0 -1 915 4.6550851315259933e-02 - - 3.2769501209259033e-01 6.2405228614807129e-01 - <_> - - 0 -1 916 7.9537127166986465e-03 - - 4.2564851045608521e-01 6.9429391622543335e-01 - <_> - - 0 -1 917 6.8221561377868056e-04 - - 3.7114870548248291e-01 5.9007328748703003e-01 - <_> - - 0 -1 918 -1.9348249770700932e-04 - - 2.0411339402198792e-01 5.3005450963973999e-01 - <_> - - 0 -1 919 -2.6710508973337710e-04 - - 5.4161262512207031e-01 3.1031790375709534e-01 - <_> - - 0 -1 920 2.7818060480058193e-03 - - 5.2778327465057373e-01 3.4670698642730713e-01 - <_> - - 0 -1 921 -4.6779078547842801e-04 - - 5.3082311153411865e-01 3.2944920659065247e-01 - <_> - - 0 -1 922 -3.0335160772665404e-05 - - 5.7738727331161499e-01 3.8520970940589905e-01 - <_> - - 0 -1 923 7.8038009814918041e-04 - - 4.3174389004707336e-01 6.1500579118728638e-01 - <_> - - 0 -1 924 -4.2553851380944252e-03 - - 2.9339039325714111e-01 5.3242927789688110e-01 - <_> - - 0 -1 925 -2.4735610350035131e-04 - - 5.4688447713851929e-01 3.8430300354957581e-01 - <_> - - 0 -1 926 -1.4724259381182492e-04 - - 4.2815428972244263e-01 5.7555872201919556e-01 - <_> - - 0 -1 927 1.1864770203828812e-03 - - 3.7473011016845703e-01 5.4714661836624146e-01 - <_> - - 0 -1 928 2.3936580400913954e-03 - - 4.5377838611602783e-01 6.1115288734436035e-01 - <_> - - 0 -1 929 -1.5390539774671197e-03 - - 2.9713419079780579e-01 5.1895380020141602e-01 - <_> - - 0 -1 930 -7.1968790143728256e-03 - - 6.6990667581558228e-01 4.7264769673347473e-01 - <_> - - 0 -1 931 -4.1499789222143590e-04 - - 3.3849540352821350e-01 5.2603179216384888e-01 - <_> - - 0 -1 932 4.4359830208122730e-03 - - 5.3991222381591797e-01 3.9201408624649048e-01 - <_> - - 0 -1 933 2.6606200262904167e-03 - - 4.4825780391693115e-01 6.1196178197860718e-01 - <_> - - 0 -1 934 -1.5287200221791863e-03 - - 3.7112379074096680e-01 5.3402662277221680e-01 - <_> - - 0 -1 935 -4.7397250309586525e-03 - - 6.0310882329940796e-01 4.4551450014114380e-01 - <_> - - 0 -1 936 -1.4829129911959171e-02 - - 2.8387540578842163e-01 5.3418618440628052e-01 - <_> - - 0 -1 937 9.2275557108223438e-04 - - 5.2095472812652588e-01 3.3616539835929871e-01 - <_> - - 0 -1 938 8.3529807627201080e-02 - - 5.1199698448181152e-01 8.1164449453353882e-02 - <_> - - 0 -1 939 -7.5633148662745953e-04 - - 3.3171200752258301e-01 5.1898312568664551e-01 - <_> - - 0 -1 940 9.8403859883546829e-03 - - 5.2475982904434204e-01 2.3349590599536896e-01 - <_> - - 0 -1 941 -1.5953830443322659e-03 - - 5.7500940561294556e-01 4.2956221103668213e-01 - <_> - - 0 -1 942 3.4766020689858124e-05 - - 4.3424451351165771e-01 5.5640292167663574e-01 - <_> - - 0 -1 943 2.9862910509109497e-02 - - 4.5791471004486084e-01 6.5791881084442139e-01 - <_> - - 0 -1 944 1.1325590312480927e-02 - - 5.2743119001388550e-01 3.6738881468772888e-01 - <_> - - 0 -1 945 -8.7828645482659340e-03 - - 7.1003687381744385e-01 4.6421670913696289e-01 - <_> - - 0 -1 946 4.3639959767460823e-03 - - 5.2792161703109741e-01 2.7058771252632141e-01 - <_> - - 0 -1 947 4.1804728098213673e-03 - - 5.0725251436233521e-01 2.4490830302238464e-01 - <_> - - 0 -1 948 -4.5668511302210391e-04 - - 4.2831051349639893e-01 5.5486911535263062e-01 - <_> - - 0 -1 949 -3.7140368949621916e-03 - - 5.5193877220153809e-01 4.1036531329154968e-01 - <_> - - 0 -1 950 -2.5304289534687996e-02 - - 6.8670022487640381e-01 4.8698890209197998e-01 - <_> - - 0 -1 951 -3.4454080741852522e-04 - - 3.7288740277290344e-01 5.2876931428909302e-01 - <_> - - 0 -1 952 -8.3935231668874621e-04 - - 6.0601520538330078e-01 4.6160620450973511e-01 - <_> - - 0 -1 953 1.7280049622058868e-02 - - 5.0496357679367065e-01 1.8198239803314209e-01 - <_> - - 0 -1 954 -6.3595077954232693e-03 - - 1.6312399506568909e-01 5.2327787876129150e-01 - <_> - - 0 -1 955 1.0298109846189618e-03 - - 4.4632780551910400e-01 6.1765491962432861e-01 - <_> - - 0 -1 956 1.0117109632119536e-03 - - 5.4733848571777344e-01 4.3006989359855652e-01 - <_> - - 0 -1 957 -1.0308800265192986e-02 - - 1.1669850349426270e-01 5.0008672475814819e-01 - <_> - - 0 -1 958 5.4682018235325813e-03 - - 4.7692871093750000e-01 6.7192137241363525e-01 - <_> - - 0 -1 959 -9.1696460731327534e-04 - - 3.4710898995399475e-01 5.1781648397445679e-01 - <_> - - 0 -1 960 2.3922820109874010e-03 - - 4.7852361202239990e-01 6.2163108587265015e-01 - <_> - - 0 -1 961 -7.5573818758130074e-03 - - 5.8147960901260376e-01 4.4100850820541382e-01 - <_> - - 0 -1 962 -7.7024032361805439e-04 - - 3.8780000805854797e-01 5.4657220840454102e-01 - <_> - - 0 -1 963 -8.7125990539789200e-03 - - 1.6600510478019714e-01 4.9958360195159912e-01 - <_> - - 0 -1 964 -1.0306320153176785e-02 - - 4.0933910012245178e-01 5.2742338180541992e-01 - <_> - - 0 -1 965 -2.0940979011356831e-03 - - 6.2061947584152222e-01 4.5722800493240356e-01 - <_> - - 0 -1 966 6.8099051713943481e-03 - - 5.5677592754364014e-01 4.1556000709533691e-01 - <_> - - 0 -1 967 -1.0746059706434608e-03 - - 5.6389278173446655e-01 4.3530249595642090e-01 - <_> - - 0 -1 968 2.1550289820879698e-03 - - 4.8262658715248108e-01 6.7497581243515015e-01 - <_> - - 0 -1 969 3.1742319464683533e-02 - - 5.0483798980712891e-01 1.8832489848136902e-01 - <_> - - 0 -1 970 -7.8382723033428192e-02 - - 2.3695489764213562e-01 5.2601581811904907e-01 - <_> - - 0 -1 971 5.7415119372308254e-03 - - 5.0488287210464478e-01 2.7764698863029480e-01 - <_> - - 0 -1 972 -2.9014600440859795e-03 - - 6.2386047840118408e-01 4.6933171153068542e-01 - <_> - - 0 -1 973 -2.6427931152284145e-03 - - 3.3141419291496277e-01 5.1697772741317749e-01 - <_> - - 0 -1 974 -1.0949660092592239e-01 - - 2.3800450563430786e-01 5.1834410429000854e-01 - <_> - - 0 -1 975 7.4075913289561868e-05 - - 4.0696358680725098e-01 5.3621500730514526e-01 - <_> - - 0 -1 976 -5.0593802006915212e-04 - - 5.5067062377929688e-01 4.3745940923690796e-01 - <_> - - 0 -1 977 -8.2131777890026569e-04 - - 5.5257099866867065e-01 4.2093759775161743e-01 - <_> - - 0 -1 978 -6.0276539443293586e-05 - - 5.4554748535156250e-01 4.7482660412788391e-01 - <_> - - 0 -1 979 6.8065142259001732e-03 - - 5.1579958200454712e-01 3.4245771169662476e-01 - <_> - - 0 -1 980 1.7202789895236492e-03 - - 5.0132077932357788e-01 6.3312637805938721e-01 - <_> - - 0 -1 981 -1.3016929733566940e-04 - - 5.5397182703018188e-01 4.2268699407577515e-01 - <_> - - 0 -1 982 -4.8016388900578022e-03 - - 4.4250950217247009e-01 5.4307800531387329e-01 - <_> - - 0 -1 983 -2.5399310979992151e-03 - - 7.1457821130752563e-01 4.6976050734519958e-01 - <_> - - 0 -1 984 -1.4278929447755218e-03 - - 4.0704450011253357e-01 5.3996050357818604e-01 - <_> - - 0 -1 985 -2.5142550468444824e-02 - - 7.8846907615661621e-01 4.7473520040512085e-01 - <_> - - 0 -1 986 -3.8899609353393316e-03 - - 4.2961919307708740e-01 5.5771100521087646e-01 - <_> - - 0 -1 987 4.3947459198534489e-03 - - 4.6931621432304382e-01 7.0239442586898804e-01 - <_> - - 0 -1 988 2.4678420275449753e-02 - - 5.2423220872879028e-01 3.8125100731849670e-01 - <_> - - 0 -1 989 3.8047678768634796e-02 - - 5.0117397308349609e-01 1.6878280043601990e-01 - <_> - - 0 -1 990 7.9424865543842316e-03 - - 4.8285821080207825e-01 6.3695681095123291e-01 - <_> - - 0 -1 991 -1.5110049862414598e-03 - - 5.9064859151840210e-01 4.4876679778099060e-01 - <_> - - 0 -1 992 6.4201741479337215e-03 - - 5.2410978078842163e-01 2.9905700683593750e-01 - <_> - - 0 -1 993 -2.9802159406244755e-03 - - 3.0414658784866333e-01 5.0784897804260254e-01 - <_> - - 0 -1 994 -7.4580078944563866e-04 - - 4.1281390190124512e-01 5.2568262815475464e-01 - <_> - - 0 -1 995 -1.0470950044691563e-02 - - 5.8083951473236084e-01 4.4942960143089294e-01 - <_> - - 0 -1 996 9.3369204550981522e-03 - - 5.2465528249740601e-01 2.6589488983154297e-01 - <_> - - 0 -1 997 2.7936900034546852e-02 - - 4.6749550104141235e-01 7.0872569084167480e-01 - <_> - - 0 -1 998 7.4277678504586220e-03 - - 5.4094868898391724e-01 3.7585180997848511e-01 - <_> - - 0 -1 999 -2.3584509268403053e-02 - - 3.7586399912834167e-01 5.2385509014129639e-01 - <_> - - 0 -1 1000 1.1452640173956752e-03 - - 4.3295788764953613e-01 5.8042472600936890e-01 - <_> - - 0 -1 1001 -4.3468660442158580e-04 - - 5.2806180715560913e-01 3.8730698823928833e-01 - <_> - - 0 -1 1002 1.0648540221154690e-02 - - 4.9021130800247192e-01 5.6812518835067749e-01 - <_> - - 0 -1 1003 -3.9418050437234342e-04 - - 5.5708801746368408e-01 4.3182510137557983e-01 - <_> - - 0 -1 1004 -1.3270479394122958e-04 - - 5.6584399938583374e-01 4.3435549736022949e-01 - <_> - - 0 -1 1005 -2.0125510636717081e-03 - - 6.0567390918731689e-01 4.5375239849090576e-01 - <_> - - 0 -1 1006 2.4854319635778666e-03 - - 5.3904771804809570e-01 4.1380101442337036e-01 - <_> - - 0 -1 1007 1.8237880431115627e-03 - - 4.3548288941383362e-01 5.7171887159347534e-01 - <_> - - 0 -1 1008 -1.6656659543514252e-02 - - 3.0109131336212158e-01 5.2161228656768799e-01 - <_> - - 0 -1 1009 8.0349558265879750e-04 - - 5.3001511096954346e-01 3.8183969259262085e-01 - <_> - - 0 -1 1010 3.4170378930866718e-03 - - 5.3280287981033325e-01 4.2414000630378723e-01 - <_> - - 0 -1 1011 -3.6222729249857366e-04 - - 5.4917281866073608e-01 4.1869771480560303e-01 - <_> - - 0 -1 1012 -1.1630020290613174e-01 - - 1.4407220482826233e-01 5.2264511585235596e-01 - <_> - - 0 -1 1013 -1.4695010147988796e-02 - - 7.7477252483367920e-01 4.7157171368598938e-01 - <_> - - 0 -1 1014 2.1972130052745342e-03 - - 5.3554338216781616e-01 3.3156448602676392e-01 - <_> - - 0 -1 1015 -4.6965209185145795e-04 - - 5.7672351598739624e-01 4.4581368565559387e-01 - <_> - - 0 -1 1016 6.5144998952746391e-03 - - 5.2156740427017212e-01 3.6478888988494873e-01 - <_> - - 0 -1 1017 2.1300060674548149e-02 - - 4.9942049384117126e-01 1.5679509937763214e-01 - <_> - - 0 -1 1018 3.1881409231573343e-03 - - 4.7422000765800476e-01 6.2872701883316040e-01 - <_> - - 0 -1 1019 9.0019777417182922e-04 - - 5.3479540348052979e-01 3.9437520503997803e-01 - <_> - - 0 -1 1020 -5.1772277802228928e-03 - - 6.7271918058395386e-01 5.0131380558013916e-01 - <_> - - 0 -1 1021 -4.3764649890363216e-03 - - 3.1066751480102539e-01 5.1287931203842163e-01 - <_> - - 0 -1 1022 2.6299960445612669e-03 - - 4.8863101005554199e-01 5.7552158832550049e-01 - <_> - - 0 -1 1023 -2.0458688959479332e-03 - - 6.0257941484451294e-01 4.5580768585205078e-01 - <_> - - 0 -1 1024 6.9482706487178802e-02 - - 5.2407479286193848e-01 2.1852590143680573e-01 - <_> - - 0 -1 1025 2.4048939347267151e-02 - - 5.0118672847747803e-01 2.0906220376491547e-01 - <_> - - 0 -1 1026 3.1095340382307768e-03 - - 4.8667120933532715e-01 7.1085482835769653e-01 - <_> - - 0 -1 1027 -1.2503260513767600e-03 - - 3.4078910946846008e-01 5.1561951637268066e-01 - <_> - - 0 -1 1028 -1.0281190043315291e-03 - - 5.5755722522735596e-01 4.4394320249557495e-01 - <_> - - 0 -1 1029 -8.8893622159957886e-03 - - 6.4020007848739624e-01 4.6204420924186707e-01 - <_> - - 0 -1 1030 -6.1094801640138030e-04 - - 3.7664419412612915e-01 5.4488998651504517e-01 - <_> - - 0 -1 1031 -5.7686357758939266e-03 - - 3.3186489343643188e-01 5.1336771249771118e-01 - <_> - - 0 -1 1032 1.8506490159779787e-03 - - 4.9035701155662537e-01 6.4069348573684692e-01 - <_> - - 0 -1 1033 -9.9799469113349915e-02 - - 1.5360510349273682e-01 5.0155621767044067e-01 - <_> - - 0 -1 1034 -3.5128349065780640e-01 - - 5.8823131024837494e-02 5.1743787527084351e-01 - <_> - - 0 -1 1035 -4.5244570821523666e-02 - - 6.9614887237548828e-01 4.6778729557991028e-01 - <_> - - 0 -1 1036 7.1481578052043915e-02 - - 5.1679861545562744e-01 1.0380929708480835e-01 - <_> - - 0 -1 1037 2.1895780228078365e-03 - - 4.2730781435966492e-01 5.5320608615875244e-01 - <_> - - 0 -1 1038 -5.9242651332169771e-04 - - 4.6389439702033997e-01 5.2763891220092773e-01 - <_> - - 0 -1 1039 1.6788389766588807e-03 - - 5.3016489744186401e-01 3.9320349693298340e-01 - <_> - - 0 -1 1040 -2.2163488902151585e-03 - - 5.6306940317153931e-01 4.7570338845252991e-01 - <_> - - 0 -1 1041 1.1568699846975505e-04 - - 4.3075358867645264e-01 5.5357027053833008e-01 - <_> - - 0 -1 1042 -7.2017288766801357e-03 - - 1.4448820054531097e-01 5.1930642127990723e-01 - <_> - - 0 -1 1043 8.9081272017210722e-04 - - 4.3844321370124817e-01 5.5936211347579956e-01 - <_> - - 0 -1 1044 1.9605009583756328e-04 - - 5.3404158353805542e-01 4.7059568762779236e-01 - <_> - - 0 -1 1045 5.2022142335772514e-04 - - 5.2138561010360718e-01 3.8100790977478027e-01 - <_> - - 0 -1 1046 9.4588572392240167e-04 - - 4.7694149613380432e-01 6.1307388544082642e-01 - <_> - - 0 -1 1047 9.1698471806012094e-05 - - 4.2450091242790222e-01 5.4293632507324219e-01 - <_> - - 0 -1 1048 2.1833200007677078e-03 - - 5.4577308893203735e-01 4.1910758614540100e-01 - <_> - - 0 -1 1049 -8.6039671441540122e-04 - - 5.7645887136459351e-01 4.4716599583625793e-01 - <_> - - 0 -1 1050 -1.3236239552497864e-02 - - 6.3728231191635132e-01 4.6950098872184753e-01 - <_> - - 0 -1 1051 4.3376701069064438e-04 - - 5.3178739547729492e-01 3.9458298683166504e-01 - <_> - 140 - 6.9229873657226562e+01 - - <_> - - 0 -1 1052 -2.4847149848937988e-02 - - 6.5555167198181152e-01 3.8733118772506714e-01 - <_> - - 0 -1 1053 6.1348611488938332e-03 - - 3.7480720877647400e-01 5.9739977121353149e-01 - <_> - - 0 -1 1054 6.4498498104512691e-03 - - 5.4254919290542603e-01 2.5488111376762390e-01 - <_> - - 0 -1 1055 6.3491211039945483e-04 - - 2.4624420702457428e-01 5.3872537612915039e-01 - <_> - - 0 -1 1056 1.4023890253156424e-03 - - 5.5943220853805542e-01 3.5286578536033630e-01 - <_> - - 0 -1 1057 3.0044000595808029e-04 - - 3.9585039019584656e-01 5.7659381628036499e-01 - <_> - - 0 -1 1058 1.0042409849120304e-04 - - 3.6989969015121460e-01 5.5349981784820557e-01 - <_> - - 0 -1 1059 -5.0841490738093853e-03 - - 3.7110909819602966e-01 5.5478000640869141e-01 - <_> - - 0 -1 1060 -1.9537260755896568e-02 - - 7.4927550554275513e-01 4.5792970061302185e-01 - <_> - - 0 -1 1061 -7.4532740654831287e-06 - - 5.6497871875762939e-01 3.9040699601173401e-01 - <_> - - 0 -1 1062 -3.6079459823668003e-03 - - 3.3810880780220032e-01 5.2678012847900391e-01 - <_> - - 0 -1 1063 2.0697501022368670e-03 - - 5.5192911624908447e-01 3.7143889069557190e-01 - <_> - - 0 -1 1064 -4.6463840408250690e-04 - - 5.6082147359848022e-01 4.1135668754577637e-01 - <_> - - 0 -1 1065 7.5490452582016587e-04 - - 3.5592061281204224e-01 5.3293561935424805e-01 - <_> - - 0 -1 1066 -9.8322238773107529e-04 - - 5.4147958755493164e-01 3.7632051110267639e-01 - <_> - - 0 -1 1067 -1.9940640777349472e-02 - - 6.3479030132293701e-01 4.7052991390228271e-01 - <_> - - 0 -1 1068 3.7680300883948803e-03 - - 3.9134898781776428e-01 5.5637162923812866e-01 - <_> - - 0 -1 1069 -9.4528505578637123e-03 - - 2.5548928976058960e-01 5.2151167392730713e-01 - <_> - - 0 -1 1070 2.9560849070549011e-03 - - 5.1746791601181030e-01 3.0639201402664185e-01 - <_> - - 0 -1 1071 9.1078737750649452e-03 - - 5.3884482383728027e-01 2.8859630227088928e-01 - <_> - - 0 -1 1072 1.8219229532405734e-03 - - 4.3360430002212524e-01 5.8521968126296997e-01 - <_> - - 0 -1 1073 1.4688739553093910e-02 - - 5.2873617410659790e-01 2.8700059652328491e-01 - <_> - - 0 -1 1074 -1.4387990348041058e-02 - - 7.0194488763809204e-01 4.6473708748817444e-01 - <_> - - 0 -1 1075 -1.8986649811267853e-02 - - 2.9865521192550659e-01 5.2470117807388306e-01 - <_> - - 0 -1 1076 1.1527639580890536e-03 - - 4.3234738707542419e-01 5.9316617250442505e-01 - <_> - - 0 -1 1077 1.0933670215308666e-02 - - 5.2868640422821045e-01 3.1303191184997559e-01 - <_> - - 0 -1 1078 -1.4932730235159397e-02 - - 2.6584190130233765e-01 5.0840771198272705e-01 - <_> - - 0 -1 1079 -2.9970539617352188e-04 - - 5.4635268449783325e-01 3.7407240271568298e-01 - <_> - - 0 -1 1080 4.1677621193230152e-03 - - 4.7034969925880432e-01 7.4357217550277710e-01 - <_> - - 0 -1 1081 -6.3905320130288601e-03 - - 2.0692589879035950e-01 5.2805382013320923e-01 - <_> - - 0 -1 1082 4.5029609464108944e-03 - - 5.1826488971710205e-01 3.4835430979728699e-01 - <_> - - 0 -1 1083 -9.2040365561842918e-03 - - 6.8037772178649902e-01 4.9323600530624390e-01 - <_> - - 0 -1 1084 8.1327259540557861e-02 - - 5.0583988428115845e-01 2.2530519962310791e-01 - <_> - - 0 -1 1085 -1.5079280734062195e-01 - - 2.9634249210357666e-01 5.2646797895431519e-01 - <_> - - 0 -1 1086 3.3179009333252907e-03 - - 4.6554958820343018e-01 7.0729321241378784e-01 - <_> - - 0 -1 1087 7.7402801252901554e-04 - - 4.7803479433059692e-01 5.6682378053665161e-01 - <_> - - 0 -1 1088 6.8199541419744492e-04 - - 4.2869961261749268e-01 5.7221567630767822e-01 - <_> - - 0 -1 1089 5.3671570494771004e-03 - - 5.2993071079254150e-01 3.1146219372749329e-01 - <_> - - 0 -1 1090 9.7018666565418243e-05 - - 3.6746388673782349e-01 5.2694618701934814e-01 - <_> - - 0 -1 1091 -1.2534089386463165e-01 - - 2.3514920473098755e-01 5.2457910776138306e-01 - <_> - - 0 -1 1092 -5.2516269497573376e-03 - - 7.1159368753433228e-01 4.6937671303749084e-01 - <_> - - 0 -1 1093 -7.8342109918594360e-03 - - 4.4626510143280029e-01 5.4090857505798340e-01 - <_> - - 0 -1 1094 -1.1310069821774960e-03 - - 5.9456187486648560e-01 4.4176620244979858e-01 - <_> - - 0 -1 1095 1.7601120052859187e-03 - - 5.3532499074935913e-01 3.9734530448913574e-01 - <_> - - 0 -1 1096 -8.1581249833106995e-04 - - 3.7602680921554565e-01 5.2647268772125244e-01 - <_> - - 0 -1 1097 -3.8687589112669230e-03 - - 6.3099128007888794e-01 4.7498199343681335e-01 - <_> - - 0 -1 1098 1.5207129763439298e-03 - - 5.2301818132400513e-01 3.3612239360809326e-01 - <_> - - 0 -1 1099 5.4586738348007202e-01 - - 5.1671397686004639e-01 1.1726350337266922e-01 - <_> - - 0 -1 1100 1.5650190412998199e-02 - - 4.9794390797615051e-01 1.3932949304580688e-01 - <_> - - 0 -1 1101 -1.1731860227882862e-02 - - 7.1296507120132446e-01 4.9211961030960083e-01 - <_> - - 0 -1 1102 -6.1765122227370739e-03 - - 2.2881029546260834e-01 5.0497019290924072e-01 - <_> - - 0 -1 1103 2.2457661107182503e-03 - - 4.6324339509010315e-01 6.0487258434295654e-01 - <_> - - 0 -1 1104 -5.1915869116783142e-03 - - 6.4674210548400879e-01 4.6021929383277893e-01 - <_> - - 0 -1 1105 -2.3827880620956421e-02 - - 1.4820009469985962e-01 5.2260792255401611e-01 - <_> - - 0 -1 1106 1.0284580057486892e-03 - - 5.1354891061782837e-01 3.3759570121765137e-01 - <_> - - 0 -1 1107 -1.0078850202262402e-02 - - 2.7405610680580139e-01 5.3035670518875122e-01 - <_> - - 0 -1 1108 2.6168930344283581e-03 - - 5.3326708078384399e-01 3.9724540710449219e-01 - <_> - - 0 -1 1109 5.4385367548093200e-04 - - 5.3656041622161865e-01 4.0634119510650635e-01 - <_> - - 0 -1 1110 5.3510512225329876e-03 - - 4.6537590026855469e-01 6.8890458345413208e-01 - <_> - - 0 -1 1111 -1.5274790348485112e-03 - - 5.4495012760162354e-01 3.6247238516807556e-01 - <_> - - 0 -1 1112 -8.0624416470527649e-02 - - 1.6560870409011841e-01 5.0002872943878174e-01 - <_> - - 0 -1 1113 2.2192029282450676e-02 - - 5.1327311992645264e-01 2.0028080046176910e-01 - <_> - - 0 -1 1114 7.3100631125271320e-03 - - 4.6179479360580444e-01 6.3665360212326050e-01 - <_> - - 0 -1 1115 -6.4063072204589844e-03 - - 5.9162509441375732e-01 4.8678609728813171e-01 - <_> - - 0 -1 1116 -7.6415040530264378e-04 - - 3.8884091377258301e-01 5.3157979249954224e-01 - <_> - - 0 -1 1117 7.6734489994123578e-04 - - 4.1590648889541626e-01 5.6052798032760620e-01 - <_> - - 0 -1 1118 6.1474501853808761e-04 - - 3.0890220403671265e-01 5.1201480627059937e-01 - <_> - - 0 -1 1119 -5.0105270929634571e-03 - - 3.9721998572349548e-01 5.2073061466217041e-01 - <_> - - 0 -1 1120 -8.6909132078289986e-03 - - 6.2574082612991333e-01 4.6085759997367859e-01 - <_> - - 0 -1 1121 -1.6391459852457047e-02 - - 2.0852099359035492e-01 5.2422660589218140e-01 - <_> - - 0 -1 1122 4.0973909199237823e-04 - - 5.2224272489547729e-01 3.7803208827972412e-01 - <_> - - 0 -1 1123 -2.5242289993911982e-03 - - 5.8039271831512451e-01 4.6118900179862976e-01 - <_> - - 0 -1 1124 5.0945312250405550e-04 - - 4.4012719392776489e-01 5.8460158109664917e-01 - <_> - - 0 -1 1125 1.9656419754028320e-03 - - 5.3223252296447754e-01 4.1845908761024475e-01 - <_> - - 0 -1 1126 5.6298897834494710e-04 - - 3.7418448925018311e-01 5.2345657348632812e-01 - <_> - - 0 -1 1127 -6.7946797935292125e-04 - - 4.6310418844223022e-01 5.3564780950546265e-01 - <_> - - 0 -1 1128 7.2856349870562553e-03 - - 5.0446701049804688e-01 2.3775640130043030e-01 - <_> - - 0 -1 1129 -1.7459489405155182e-02 - - 7.2891211509704590e-01 5.0504350662231445e-01 - <_> - - 0 -1 1130 -2.5421749800443649e-02 - - 6.6671347618103027e-01 4.6781000494956970e-01 - <_> - - 0 -1 1131 -1.5647639520466328e-03 - - 4.3917590379714966e-01 5.3236269950866699e-01 - <_> - - 0 -1 1132 1.1444360017776489e-02 - - 4.3464401364326477e-01 5.6800121068954468e-01 - <_> - - 0 -1 1133 -6.7352550104260445e-04 - - 4.4771409034729004e-01 5.2968120574951172e-01 - <_> - - 0 -1 1134 9.3194209039211273e-03 - - 4.7402000427246094e-01 7.4626070261001587e-01 - <_> - - 0 -1 1135 1.3328490604180843e-04 - - 5.3650617599487305e-01 4.7521349787712097e-01 - <_> - - 0 -1 1136 -7.8815799206495285e-03 - - 1.7522190511226654e-01 5.0152552127838135e-01 - <_> - - 0 -1 1137 -5.7985680177807808e-03 - - 7.2712367773056030e-01 4.8962008953094482e-01 - <_> - - 0 -1 1138 -3.8922499516047537e-04 - - 4.0039089322090149e-01 5.3449410200119019e-01 - <_> - - 0 -1 1139 -1.9288610201328993e-03 - - 5.6056129932403564e-01 4.8039558529853821e-01 - <_> - - 0 -1 1140 8.4214154630899429e-03 - - 4.7532469034194946e-01 7.6236087083816528e-01 - <_> - - 0 -1 1141 8.1655876711010933e-03 - - 5.3932619094848633e-01 4.1916438937187195e-01 - <_> - - 0 -1 1142 4.8280550981871784e-04 - - 4.2408001422882080e-01 5.3998219966888428e-01 - <_> - - 0 -1 1143 -2.7186630759388208e-03 - - 4.2445999383926392e-01 5.4249238967895508e-01 - <_> - - 0 -1 1144 -1.2507230043411255e-02 - - 5.8958417177200317e-01 4.5504111051559448e-01 - <_> - - 0 -1 1145 -2.4286519736051559e-02 - - 2.6471349596977234e-01 5.1891797780990601e-01 - <_> - - 0 -1 1146 -2.9676330741494894e-03 - - 7.3476827144622803e-01 4.7497498989105225e-01 - <_> - - 0 -1 1147 -1.2528999708592892e-02 - - 2.7560499310493469e-01 5.1775997877120972e-01 - <_> - - 0 -1 1148 -1.0104000102728605e-03 - - 3.5105609893798828e-01 5.1447242498397827e-01 - <_> - - 0 -1 1149 -2.1348530426621437e-03 - - 5.6379258632659912e-01 4.6673199534416199e-01 - <_> - - 0 -1 1150 1.9564259797334671e-02 - - 4.6145731210708618e-01 6.1376398801803589e-01 - <_> - - 0 -1 1151 -9.7146347165107727e-02 - - 2.9983788728713989e-01 5.1935559511184692e-01 - <_> - - 0 -1 1152 4.5014568604528904e-03 - - 5.0778847932815552e-01 3.0457559227943420e-01 - <_> - - 0 -1 1153 6.3706971704959869e-03 - - 4.8610189557075500e-01 6.8875008821487427e-01 - <_> - - 0 -1 1154 -9.0721528977155685e-03 - - 1.6733959317207336e-01 5.0175631046295166e-01 - <_> - - 0 -1 1155 -5.3537208586931229e-03 - - 2.6927569508552551e-01 5.2426332235336304e-01 - <_> - - 0 -1 1156 -1.0932840406894684e-02 - - 7.1838641166687012e-01 4.7360289096832275e-01 - <_> - - 0 -1 1157 8.2356072962284088e-03 - - 5.2239668369293213e-01 2.3898629844188690e-01 - <_> - - 0 -1 1158 -1.0038160253316164e-03 - - 5.7193559408187866e-01 4.4339430332183838e-01 - <_> - - 0 -1 1159 4.0859128348529339e-03 - - 5.4728418588638306e-01 4.1488361358642578e-01 - <_> - - 0 -1 1160 1.5485419332981110e-01 - - 4.9738121032714844e-01 6.1061598360538483e-02 - <_> - - 0 -1 1161 2.0897459762636572e-04 - - 4.7091740369796753e-01 5.4238891601562500e-01 - <_> - - 0 -1 1162 3.3316991175524890e-04 - - 4.0896269679069519e-01 5.3009921312332153e-01 - <_> - - 0 -1 1163 -1.0813400149345398e-02 - - 6.1043697595596313e-01 4.9573341012001038e-01 - <_> - - 0 -1 1164 4.5656010508537292e-02 - - 5.0696891546249390e-01 2.8666600584983826e-01 - <_> - - 0 -1 1165 1.2569549726322293e-03 - - 4.8469170928001404e-01 6.3181710243225098e-01 - <_> - - 0 -1 1166 -1.2015070021152496e-01 - - 6.0526140034198761e-02 4.9809598922729492e-01 - <_> - - 0 -1 1167 -1.0533799650147557e-04 - - 5.3631097078323364e-01 4.7080421447753906e-01 - <_> - - 0 -1 1168 -2.0703190565109253e-01 - - 5.9660330414772034e-02 4.9790981411933899e-01 - <_> - - 0 -1 1169 1.2909180077258497e-04 - - 4.7129771113395691e-01 5.3779977560043335e-01 - <_> - - 0 -1 1170 3.8818528992123902e-04 - - 4.3635380268096924e-01 5.5341911315917969e-01 - <_> - - 0 -1 1171 -2.9243610333651304e-03 - - 5.8111858367919922e-01 4.8252159357070923e-01 - <_> - - 0 -1 1172 8.3882332546636462e-04 - - 5.3117001056671143e-01 4.0381389856338501e-01 - <_> - - 0 -1 1173 -1.9061550265178084e-03 - - 3.7707018852233887e-01 5.2600151300430298e-01 - <_> - - 0 -1 1174 8.9514348655939102e-03 - - 4.7661679983139038e-01 7.6821839809417725e-01 - <_> - - 0 -1 1175 1.3083459809422493e-02 - - 5.2644628286361694e-01 3.0622220039367676e-01 - <_> - - 0 -1 1176 -2.1159330010414124e-01 - - 6.7371982336044312e-01 4.6958100795745850e-01 - <_> - - 0 -1 1177 3.1493250280618668e-03 - - 5.6448352336883545e-01 4.3869531154632568e-01 - <_> - - 0 -1 1178 3.9754100725986063e-04 - - 4.5260611176490784e-01 5.8956301212310791e-01 - <_> - - 0 -1 1179 -1.3814480043947697e-03 - - 6.0705822706222534e-01 4.9424138665199280e-01 - <_> - - 0 -1 1180 -5.8122188784182072e-04 - - 5.9982132911682129e-01 4.5082521438598633e-01 - <_> - - 0 -1 1181 -2.3905329871922731e-03 - - 4.2055889964103699e-01 5.2238482236862183e-01 - <_> - - 0 -1 1182 2.7268929407000542e-02 - - 5.2064472436904907e-01 3.5633018612861633e-01 - <_> - - 0 -1 1183 -3.7658358924090862e-03 - - 3.1447041034698486e-01 5.2188140153884888e-01 - <_> - - 0 -1 1184 -1.4903489500284195e-03 - - 3.3801960945129395e-01 5.1244372129440308e-01 - <_> - - 0 -1 1185 -1.7428230494260788e-02 - - 5.8299607038497925e-01 4.9197259545326233e-01 - <_> - - 0 -1 1186 -1.5278030186891556e-02 - - 6.1631447076797485e-01 4.6178871393203735e-01 - <_> - - 0 -1 1187 3.1995609402656555e-02 - - 5.1663571596145630e-01 1.7127640545368195e-01 - <_> - - 0 -1 1188 -3.8256710395216942e-03 - - 3.4080120921134949e-01 5.1313877105712891e-01 - <_> - - 0 -1 1189 -8.5186436772346497e-03 - - 6.1055189371109009e-01 4.9979418516159058e-01 - <_> - - 0 -1 1190 9.0641621500253677e-04 - - 4.3272709846496582e-01 5.5823111534118652e-01 - <_> - - 0 -1 1191 1.0344849899411201e-02 - - 4.8556530475616455e-01 5.4524201154708862e-01 - <_> - 160 - 7.9249076843261719e+01 - - <_> - - 0 -1 1192 7.8981826081871986e-03 - - 3.3325248956680298e-01 5.9464621543884277e-01 - <_> - - 0 -1 1193 1.6170160379260778e-03 - - 3.4906411170959473e-01 5.5778688192367554e-01 - <_> - - 0 -1 1194 -5.5449741194024682e-04 - - 5.5425661802291870e-01 3.2915300130844116e-01 - <_> - - 0 -1 1195 1.5428980113938451e-03 - - 3.6125791072845459e-01 5.5459791421890259e-01 - <_> - - 0 -1 1196 -1.0329450014978647e-03 - - 3.5301390290260315e-01 5.5761402845382690e-01 - <_> - - 0 -1 1197 7.7698158565908670e-04 - - 3.9167788624763489e-01 5.6453210115432739e-01 - <_> - - 0 -1 1198 1.4320300519466400e-01 - - 4.6674820780754089e-01 7.0236331224441528e-01 - <_> - - 0 -1 1199 -7.3866490274667740e-03 - - 3.0736848711967468e-01 5.2892577648162842e-01 - <_> - - 0 -1 1200 -6.2936742324382067e-04 - - 5.6221181154251099e-01 4.0370491147041321e-01 - <_> - - 0 -1 1201 7.8893528552725911e-04 - - 5.2676612138748169e-01 3.5578748583793640e-01 - <_> - - 0 -1 1202 -1.2228050269186497e-02 - - 6.6683208942413330e-01 4.6255499124526978e-01 - <_> - - 0 -1 1203 3.5420239437371492e-03 - - 5.5214381217956543e-01 3.8696730136871338e-01 - <_> - - 0 -1 1204 -1.0585320414975286e-03 - - 3.6286780238151550e-01 5.3209269046783447e-01 - <_> - - 0 -1 1205 1.4935660146875307e-05 - - 4.6324449777603149e-01 5.3633230924606323e-01 - <_> - - 0 -1 1206 5.2537708543241024e-03 - - 5.1322317123413086e-01 3.2657089829444885e-01 - <_> - - 0 -1 1207 -8.2338023930788040e-03 - - 6.6936898231506348e-01 4.7741401195526123e-01 - <_> - - 0 -1 1208 2.1866810129722580e-05 - - 4.0538620948791504e-01 5.4579311609268188e-01 - <_> - - 0 -1 1209 -3.8150229956954718e-03 - - 6.4549958705902100e-01 4.7931781411170959e-01 - <_> - - 0 -1 1210 1.1105879675596952e-03 - - 5.2704071998596191e-01 3.5296788811683655e-01 - <_> - - 0 -1 1211 -5.7707689702510834e-03 - - 3.8035470247268677e-01 5.3529578447341919e-01 - <_> - - 0 -1 1212 -3.0158339068293571e-03 - - 5.3394031524658203e-01 3.8871330022811890e-01 - <_> - - 0 -1 1213 -8.5453689098358154e-04 - - 3.5646161437034607e-01 5.2736037969589233e-01 - <_> - - 0 -1 1214 1.1050510220229626e-02 - - 4.6719071269035339e-01 6.8497377634048462e-01 - <_> - - 0 -1 1215 4.2605839669704437e-02 - - 5.1514732837677002e-01 7.0220090448856354e-02 - <_> - - 0 -1 1216 -3.0781750101596117e-03 - - 3.0416610836982727e-01 5.1526021957397461e-01 - <_> - - 0 -1 1217 -5.4815728217363358e-03 - - 6.4302957057952881e-01 4.8972299695014954e-01 - <_> - - 0 -1 1218 3.1881860923022032e-03 - - 5.3074932098388672e-01 3.8262099027633667e-01 - <_> - - 0 -1 1219 3.5947180003859103e-04 - - 4.6500471234321594e-01 5.4219049215316772e-01 - <_> - - 0 -1 1220 -4.0705031715333462e-03 - - 2.8496798872947693e-01 5.0791162252426147e-01 - <_> - - 0 -1 1221 -1.4594170264899731e-02 - - 2.9716458916664124e-01 5.1284617185592651e-01 - <_> - - 0 -1 1222 -1.1947689927183092e-04 - - 5.6310981512069702e-01 4.3430820107460022e-01 - <_> - - 0 -1 1223 -6.9344649091362953e-04 - - 4.4035780429840088e-01 5.3599590063095093e-01 - <_> - - 0 -1 1224 1.4834799912932795e-05 - - 3.4210088849067688e-01 5.1646977663040161e-01 - <_> - - 0 -1 1225 9.0296985581517220e-03 - - 4.6393430233001709e-01 6.1140751838684082e-01 - <_> - - 0 -1 1226 -8.0640818923711777e-03 - - 2.8201588988304138e-01 5.0754940509796143e-01 - <_> - - 0 -1 1227 2.6062119752168655e-02 - - 5.2089059352874756e-01 2.6887780427932739e-01 - <_> - - 0 -1 1228 1.7314659431576729e-02 - - 4.6637138724327087e-01 6.7385399341583252e-01 - <_> - - 0 -1 1229 2.2666640579700470e-02 - - 5.2093499898910522e-01 2.2127239406108856e-01 - <_> - - 0 -1 1230 -2.1965929772704840e-03 - - 6.0631012916564941e-01 4.5381900668144226e-01 - <_> - - 0 -1 1231 -9.5282476395368576e-03 - - 4.6352049708366394e-01 5.2474308013916016e-01 - <_> - - 0 -1 1232 8.0943619832396507e-03 - - 5.2894401550292969e-01 3.9138820767402649e-01 - <_> - - 0 -1 1233 -7.2877332568168640e-02 - - 7.7520018815994263e-01 4.9902349710464478e-01 - <_> - - 0 -1 1234 -6.9009521976113319e-03 - - 2.4280390143394470e-01 5.0480902194976807e-01 - <_> - - 0 -1 1235 -1.1308239772915840e-02 - - 5.7343649864196777e-01 4.8423761129379272e-01 - <_> - - 0 -1 1236 5.9613201767206192e-02 - - 5.0298362970352173e-01 2.5249770283699036e-01 - <_> - - 0 -1 1237 -2.8624620754271746e-03 - - 6.0730451345443726e-01 4.8984599113464355e-01 - <_> - - 0 -1 1238 4.4781449250876904e-03 - - 5.0152891874313354e-01 2.2203169763088226e-01 - <_> - - 0 -1 1239 -1.7513240454718471e-03 - - 6.6144287586212158e-01 4.9338689446449280e-01 - <_> - - 0 -1 1240 4.0163420140743256e-02 - - 5.1808780431747437e-01 3.7410449981689453e-01 - <_> - - 0 -1 1241 3.4768949262797832e-04 - - 4.7204169631004333e-01 5.8180320262908936e-01 - <_> - - 0 -1 1242 2.6551650371402502e-03 - - 3.8050109148025513e-01 5.2213358879089355e-01 - <_> - - 0 -1 1243 -8.7706279009580612e-03 - - 2.9441660642623901e-01 5.2312952280044556e-01 - <_> - - 0 -1 1244 -5.5122091434895992e-03 - - 7.3461771011352539e-01 4.7228169441223145e-01 - <_> - - 0 -1 1245 6.8672042107209563e-04 - - 5.4528760910034180e-01 4.2424130439758301e-01 - <_> - - 0 -1 1246 5.6019669864326715e-04 - - 4.3988621234893799e-01 5.6012850999832153e-01 - <_> - - 0 -1 1247 2.4143769405782223e-03 - - 4.7416868805885315e-01 6.1366218328475952e-01 - <_> - - 0 -1 1248 -1.5680900542065501e-03 - - 6.0445529222488403e-01 4.5164099335670471e-01 - <_> - - 0 -1 1249 -3.6827491130679846e-03 - - 2.4524590373039246e-01 5.2949821949005127e-01 - <_> - - 0 -1 1250 -2.9409190756268799e-04 - - 3.7328380346298218e-01 5.2514511346817017e-01 - <_> - - 0 -1 1251 4.2847759323194623e-04 - - 5.4988098144531250e-01 4.0655350685119629e-01 - <_> - - 0 -1 1252 -4.8817070201039314e-03 - - 2.1399089694023132e-01 4.9999570846557617e-01 - <_> - - 0 -1 1253 2.7272020815871656e-04 - - 4.6502870321273804e-01 5.8134287595748901e-01 - <_> - - 0 -1 1254 2.0947199664078653e-04 - - 4.3874868750572205e-01 5.5727928876876831e-01 - <_> - - 0 -1 1255 4.8501189798116684e-02 - - 5.2449727058410645e-01 3.2128891348838806e-01 - <_> - - 0 -1 1256 -4.5166411437094212e-03 - - 6.0568130016326904e-01 4.5458820462226868e-01 - <_> - - 0 -1 1257 -1.2291680090129375e-02 - - 2.0409290492534637e-01 5.1522141695022583e-01 - <_> - - 0 -1 1258 4.8549679922871292e-04 - - 5.2376049757003784e-01 3.7395030260086060e-01 - <_> - - 0 -1 1259 3.0556049197912216e-02 - - 4.9605339765548706e-01 5.9382462501525879e-01 - <_> - - 0 -1 1260 -1.5105320198927075e-04 - - 5.3513038158416748e-01 4.1452041268348694e-01 - <_> - - 0 -1 1261 2.4937440175563097e-03 - - 4.6933668851852417e-01 5.5149412155151367e-01 - <_> - - 0 -1 1262 -1.2382130138576031e-02 - - 6.7913967370986938e-01 4.6816679835319519e-01 - <_> - - 0 -1 1263 -5.1333461888134480e-03 - - 3.6087390780448914e-01 5.2291601896286011e-01 - <_> - - 0 -1 1264 5.1919277757406235e-04 - - 5.3000730276107788e-01 3.6336138844490051e-01 - <_> - - 0 -1 1265 1.5060420334339142e-01 - - 5.1573169231414795e-01 2.2117820382118225e-01 - <_> - - 0 -1 1266 7.7144149690866470e-03 - - 4.4104969501495361e-01 5.7766091823577881e-01 - <_> - - 0 -1 1267 9.4443522393703461e-03 - - 5.4018551111221313e-01 3.7566500902175903e-01 - <_> - - 0 -1 1268 2.5006249779835343e-04 - - 4.3682709336280823e-01 5.6073749065399170e-01 - <_> - - 0 -1 1269 -3.3077150583267212e-03 - - 4.2447990179061890e-01 5.5182307958602905e-01 - <_> - - 0 -1 1270 7.4048910755664110e-04 - - 4.4969621300697327e-01 5.9005767107009888e-01 - <_> - - 0 -1 1271 4.4092051684856415e-02 - - 5.2934932708740234e-01 3.1563550233840942e-01 - <_> - - 0 -1 1272 3.3639909233897924e-03 - - 4.4832968711853027e-01 5.8486622571945190e-01 - <_> - - 0 -1 1273 -3.9760079234838486e-03 - - 4.5595070719718933e-01 5.4836392402648926e-01 - <_> - - 0 -1 1274 2.7716930489987135e-03 - - 5.3417861461639404e-01 3.7924841046333313e-01 - <_> - - 0 -1 1275 -2.4123019829858094e-04 - - 5.6671887636184692e-01 4.5769730210304260e-01 - <_> - - 0 -1 1276 4.9425667384639382e-04 - - 4.4212448596954346e-01 5.6287872791290283e-01 - <_> - - 0 -1 1277 -3.8876468897797167e-04 - - 4.2883709073066711e-01 5.3910630941390991e-01 - <_> - - 0 -1 1278 -5.0048898905515671e-02 - - 6.8995130062103271e-01 4.7037428617477417e-01 - <_> - - 0 -1 1279 -3.6635480821132660e-02 - - 2.2177790105342865e-01 5.1918262243270874e-01 - <_> - - 0 -1 1280 2.4273579474538565e-03 - - 5.1362240314483643e-01 3.4973978996276855e-01 - <_> - - 0 -1 1281 1.9558030180633068e-03 - - 4.8261928558349609e-01 6.4083808660507202e-01 - <_> - - 0 -1 1282 -1.7494610510766506e-03 - - 3.9228358864784241e-01 5.2726852893829346e-01 - <_> - - 0 -1 1283 1.3955079950392246e-02 - - 5.0782018899917603e-01 8.4165048599243164e-01 - <_> - - 0 -1 1284 -2.1896739781368524e-04 - - 5.5204898118972778e-01 4.3142348527908325e-01 - <_> - - 0 -1 1285 -1.5131309628486633e-03 - - 3.9346051216125488e-01 5.3825712203979492e-01 - <_> - - 0 -1 1286 -4.3622800149023533e-03 - - 7.3706287145614624e-01 4.7364759445190430e-01 - <_> - - 0 -1 1287 6.5160587430000305e-02 - - 5.1592797040939331e-01 3.2815951108932495e-01 - <_> - - 0 -1 1288 -2.3567399475723505e-03 - - 3.6728268861770630e-01 5.1728862524032593e-01 - <_> - - 0 -1 1289 1.5146659687161446e-02 - - 5.0314939022064209e-01 6.6876041889190674e-01 - <_> - - 0 -1 1290 -2.2850960493087769e-02 - - 6.7675197124481201e-01 4.7095969319343567e-01 - <_> - - 0 -1 1291 4.8867650330066681e-03 - - 5.2579981088638306e-01 4.0598788857460022e-01 - <_> - - 0 -1 1292 1.7619599821045995e-03 - - 4.6962729096412659e-01 6.6882789134979248e-01 - <_> - - 0 -1 1293 -1.2942519970238209e-03 - - 4.3207129836082458e-01 5.3442817926406860e-01 - <_> - - 0 -1 1294 1.0929949581623077e-02 - - 4.9977061152458191e-01 1.6374860703945160e-01 - <_> - - 0 -1 1295 2.9958489903947338e-05 - - 4.2824178934097290e-01 5.6332242488861084e-01 - <_> - - 0 -1 1296 -6.5884361974895000e-03 - - 6.7721211910247803e-01 4.7005268931388855e-01 - <_> - - 0 -1 1297 3.2527779694646597e-03 - - 5.3133970499038696e-01 4.5361489057540894e-01 - <_> - - 0 -1 1298 -4.0435739792883396e-03 - - 5.6600618362426758e-01 4.4133889675140381e-01 - <_> - - 0 -1 1299 -1.2523540062829852e-03 - - 3.7319138646125793e-01 5.3564518690109253e-01 - <_> - - 0 -1 1300 1.9246719602961093e-04 - - 5.1899862289428711e-01 3.7388110160827637e-01 - <_> - - 0 -1 1301 -3.8589671254158020e-02 - - 2.9563739895820618e-01 5.1888108253479004e-01 - <_> - - 0 -1 1302 1.5489870565943420e-04 - - 4.3471351265907288e-01 5.5095332860946655e-01 - <_> - - 0 -1 1303 -3.3763848245143890e-02 - - 3.2303300499916077e-01 5.1954758167266846e-01 - <_> - - 0 -1 1304 -8.2657067105174065e-03 - - 5.9754890203475952e-01 4.5521140098571777e-01 - <_> - - 0 -1 1305 1.4481440302915871e-05 - - 4.7456780076026917e-01 5.4974269866943359e-01 - <_> - - 0 -1 1306 1.4951299817766994e-05 - - 4.3244731426239014e-01 5.4806441068649292e-01 - <_> - - 0 -1 1307 -1.8741799518465996e-02 - - 1.5800529718399048e-01 5.1785331964492798e-01 - <_> - - 0 -1 1308 1.7572239739820361e-03 - - 4.5176368951797485e-01 5.7737642526626587e-01 - <_> - - 0 -1 1309 -3.1391119118779898e-03 - - 4.1496479511260986e-01 5.4608422517776489e-01 - <_> - - 0 -1 1310 6.6656779381446540e-05 - - 4.0390908718109131e-01 5.2930849790573120e-01 - <_> - - 0 -1 1311 6.7743421532213688e-03 - - 4.7676518559455872e-01 6.1219561100006104e-01 - <_> - - 0 -1 1312 -7.3868161998689175e-03 - - 3.5862588882446289e-01 5.1872807741165161e-01 - <_> - - 0 -1 1313 1.4040930196642876e-02 - - 4.7121399641036987e-01 5.5761557817459106e-01 - <_> - - 0 -1 1314 -5.5258329957723618e-03 - - 2.6610270142555237e-01 5.0392812490463257e-01 - <_> - - 0 -1 1315 3.8684239983558655e-01 - - 5.1443397998809814e-01 2.5258991122245789e-01 - <_> - - 0 -1 1316 1.1459240340627730e-04 - - 4.2849949002265930e-01 5.4233711957931519e-01 - <_> - - 0 -1 1317 -1.8467569723725319e-02 - - 3.8858351111412048e-01 5.2130621671676636e-01 - <_> - - 0 -1 1318 -4.5907011372037232e-04 - - 5.4125630855560303e-01 4.2359098792076111e-01 - <_> - - 0 -1 1319 1.2527540093287826e-03 - - 4.8993051052093506e-01 6.6240912675857544e-01 - <_> - - 0 -1 1320 1.4910609461367130e-03 - - 5.2867782115936279e-01 4.0400519967079163e-01 - <_> - - 0 -1 1321 -7.5435562757775187e-04 - - 6.0329902172088623e-01 4.7951200604438782e-01 - <_> - - 0 -1 1322 -6.9478838704526424e-03 - - 4.0844011306762695e-01 5.3735041618347168e-01 - <_> - - 0 -1 1323 2.8092920547351241e-04 - - 4.8460629582405090e-01 5.7593822479248047e-01 - <_> - - 0 -1 1324 9.6073717577382922e-04 - - 5.1647412776947021e-01 3.5549798607826233e-01 - <_> - - 0 -1 1325 -2.6883929967880249e-04 - - 5.6775820255279541e-01 4.7317659854888916e-01 - <_> - - 0 -1 1326 2.1599370520561934e-03 - - 4.7314870357513428e-01 7.0705670118331909e-01 - <_> - - 0 -1 1327 5.6235301308333874e-03 - - 5.2402430772781372e-01 2.7817919850349426e-01 - <_> - - 0 -1 1328 -5.0243991427123547e-03 - - 2.8370139002799988e-01 5.0623041391372681e-01 - <_> - - 0 -1 1329 -9.7611639648675919e-03 - - 7.4007177352905273e-01 4.9345690011978149e-01 - <_> - - 0 -1 1330 4.1515100747346878e-03 - - 5.1191312074661255e-01 3.4070080518722534e-01 - <_> - - 0 -1 1331 6.2465080991387367e-03 - - 4.9237880110740662e-01 6.5790587663650513e-01 - <_> - - 0 -1 1332 -7.0597478188574314e-03 - - 2.4347110092639923e-01 5.0328421592712402e-01 - <_> - - 0 -1 1333 -2.0587709732353687e-03 - - 5.9003108739852905e-01 4.6950870752334595e-01 - <_> - - 0 -1 1334 -2.4146060459315777e-03 - - 3.6473178863525391e-01 5.1892018318176270e-01 - <_> - - 0 -1 1335 -1.4817609917372465e-03 - - 6.0349482297897339e-01 4.9401280283927917e-01 - <_> - - 0 -1 1336 -6.3016400672495365e-03 - - 5.8189898729324341e-01 4.5604279637336731e-01 - <_> - - 0 -1 1337 3.4763428848236799e-03 - - 5.2174758911132812e-01 3.4839931130409241e-01 - <_> - - 0 -1 1338 -2.2250870242714882e-02 - - 2.3607000708580017e-01 5.0320827960968018e-01 - <_> - - 0 -1 1339 -3.0612550675868988e-02 - - 6.4991867542266846e-01 4.9149191379547119e-01 - <_> - - 0 -1 1340 1.3057479634881020e-02 - - 4.4133231043815613e-01 5.6837642192840576e-01 - <_> - - 0 -1 1341 -6.0095742810517550e-04 - - 4.3597310781478882e-01 5.3334832191467285e-01 - <_> - - 0 -1 1342 -4.1514250915497541e-04 - - 5.5040627717971802e-01 4.3260601162910461e-01 - <_> - - 0 -1 1343 -1.3776290230453014e-02 - - 4.0641129016876221e-01 5.2015489339828491e-01 - <_> - - 0 -1 1344 -3.2296508550643921e-02 - - 4.7351971268653870e-02 4.9771949648857117e-01 - <_> - - 0 -1 1345 5.3556978702545166e-02 - - 4.8817330598831177e-01 6.6669392585754395e-01 - <_> - - 0 -1 1346 8.1889545544981956e-03 - - 5.4000371694564819e-01 4.2408201098442078e-01 - <_> - - 0 -1 1347 2.1055320394225419e-04 - - 4.8020479083061218e-01 5.5638527870178223e-01 - <_> - - 0 -1 1348 -2.4382730480283499e-03 - - 7.3877930641174316e-01 4.7736850380897522e-01 - <_> - - 0 -1 1349 3.2835570164024830e-03 - - 5.2885460853576660e-01 3.1712919473648071e-01 - <_> - - 0 -1 1350 2.3729570675641298e-03 - - 4.7508129477500916e-01 7.0601707696914673e-01 - <_> - - 0 -1 1351 -1.4541699783876538e-03 - - 3.8117301464080811e-01 5.3307390213012695e-01 - <_> - 177 - 8.7696029663085938e+01 - - <_> - - 0 -1 1352 5.5755238980054855e-02 - - 4.0191569924354553e-01 6.8060368299484253e-01 - <_> - - 0 -1 1353 2.4730248842388391e-03 - - 3.3511489629745483e-01 5.9657198190689087e-01 - <_> - - 0 -1 1354 -3.5031698644161224e-04 - - 5.5577081441879272e-01 3.4822869300842285e-01 - <_> - - 0 -1 1355 5.4167630150914192e-04 - - 4.2608588933944702e-01 5.6933808326721191e-01 - <_> - - 0 -1 1356 7.7193678589537740e-04 - - 3.4942400455474854e-01 5.4336887598037720e-01 - <_> - - 0 -1 1357 -1.5999219613149762e-03 - - 4.0284991264343262e-01 5.4843592643737793e-01 - <_> - - 0 -1 1358 -1.1832080053864047e-04 - - 3.8069018721580505e-01 5.4254651069641113e-01 - <_> - - 0 -1 1359 3.2909031142480671e-04 - - 2.6201000809669495e-01 5.4295217990875244e-01 - <_> - - 0 -1 1360 2.9518108931370080e-04 - - 3.7997689843177795e-01 5.3992640972137451e-01 - <_> - - 0 -1 1361 9.0466710389591753e-05 - - 4.4336450099945068e-01 5.4402261972427368e-01 - <_> - - 0 -1 1362 1.5007190086180344e-05 - - 3.7196549773216248e-01 5.4091197252273560e-01 - <_> - - 0 -1 1363 1.3935610651969910e-01 - - 5.5253958702087402e-01 4.4790428876876831e-01 - <_> - - 0 -1 1364 1.6461990308016539e-03 - - 4.2645010352134705e-01 5.7721698284149170e-01 - <_> - - 0 -1 1365 4.9984431825578213e-04 - - 4.3595260381698608e-01 5.6858712434768677e-01 - <_> - - 0 -1 1366 -1.0971280280500650e-03 - - 3.3901369571685791e-01 5.2054089307785034e-01 - <_> - - 0 -1 1367 6.6919892560690641e-04 - - 4.5574560761451721e-01 5.9806597232818604e-01 - <_> - - 0 -1 1368 8.6471042595803738e-04 - - 5.1348412036895752e-01 2.9440331459045410e-01 - <_> - - 0 -1 1369 -2.7182599296793342e-04 - - 3.9065781235694885e-01 5.3771811723709106e-01 - <_> - - 0 -1 1370 3.0249499104684219e-05 - - 3.6796098947525024e-01 5.2256888151168823e-01 - <_> - - 0 -1 1371 -8.5225896909832954e-03 - - 7.2931021451950073e-01 4.8923650383949280e-01 - <_> - - 0 -1 1372 1.6705560265108943e-03 - - 4.3453249335289001e-01 5.6961381435394287e-01 - <_> - - 0 -1 1373 -7.1433838456869125e-03 - - 2.5912800431251526e-01 5.2256238460540771e-01 - <_> - - 0 -1 1374 -1.6319369897246361e-02 - - 6.9222790002822876e-01 4.6515759825706482e-01 - <_> - - 0 -1 1375 4.8034260980784893e-03 - - 5.3522628545761108e-01 3.2863029837608337e-01 - <_> - - 0 -1 1376 -7.5421929359436035e-03 - - 2.0405440032482147e-01 5.0345462560653687e-01 - <_> - - 0 -1 1377 -1.4363110065460205e-02 - - 6.8048888444900513e-01 4.8890590667724609e-01 - <_> - - 0 -1 1378 8.9063588529825211e-04 - - 5.3106957674026489e-01 3.8954809308052063e-01 - <_> - - 0 -1 1379 -4.4060191139578819e-03 - - 5.7415628433227539e-01 4.3724268674850464e-01 - <_> - - 0 -1 1380 -1.8862540309783071e-04 - - 2.8317859768867493e-01 5.0982052087783813e-01 - <_> - - 0 -1 1381 -3.7979281041771173e-03 - - 3.3725079894065857e-01 5.2465802431106567e-01 - <_> - - 0 -1 1382 1.4627049677073956e-04 - - 5.3066742420196533e-01 3.9117100834846497e-01 - <_> - - 0 -1 1383 -4.9164638767251745e-05 - - 5.4624962806701660e-01 3.9427208900451660e-01 - <_> - - 0 -1 1384 -3.3582501113414764e-02 - - 2.1578240394592285e-01 5.0482118129730225e-01 - <_> - - 0 -1 1385 -3.5339309833943844e-03 - - 6.4653122425079346e-01 4.8726969957351685e-01 - <_> - - 0 -1 1386 5.0144111737608910e-03 - - 4.6176680922508240e-01 6.2480747699737549e-01 - <_> - - 0 -1 1387 1.8817370757460594e-02 - - 5.2206891775131226e-01 2.0000520348548889e-01 - <_> - - 0 -1 1388 -1.3434339780360460e-03 - - 4.0145379304885864e-01 5.3016197681427002e-01 - <_> - - 0 -1 1389 1.7557960236445069e-03 - - 4.7940391302108765e-01 5.6531697511672974e-01 - <_> - - 0 -1 1390 -9.5637463033199310e-02 - - 2.0341950654983521e-01 5.0067067146301270e-01 - <_> - - 0 -1 1391 -2.2241229191422462e-02 - - 7.6724731922149658e-01 5.0463402271270752e-01 - <_> - - 0 -1 1392 -1.5575819648802280e-02 - - 7.4903422594070435e-01 4.7558510303497314e-01 - <_> - - 0 -1 1393 5.3599118255078793e-03 - - 5.3653037548065186e-01 4.0046709775924683e-01 - <_> - - 0 -1 1394 -2.1763499826192856e-02 - - 7.4015498161315918e-02 4.9641749262809753e-01 - <_> - - 0 -1 1395 -1.6561590135097504e-01 - - 2.8591030836105347e-01 5.2180862426757812e-01 - <_> - - 0 -1 1396 1.6461320046801120e-04 - - 4.1916158795356750e-01 5.3807932138442993e-01 - <_> - - 0 -1 1397 -8.9077502489089966e-03 - - 6.2731927633285522e-01 4.8774048686027527e-01 - <_> - - 0 -1 1398 8.6346449097618461e-04 - - 5.1599407196044922e-01 3.6710259318351746e-01 - <_> - - 0 -1 1399 -1.3751760125160217e-03 - - 5.8843767642974854e-01 4.5790839195251465e-01 - <_> - - 0 -1 1400 -1.4081239933148026e-03 - - 3.5605099797248840e-01 5.1399451494216919e-01 - <_> - - 0 -1 1401 -3.9342888630926609e-03 - - 5.9942889213562012e-01 4.6642720699310303e-01 - <_> - - 0 -1 1402 -3.1966928392648697e-02 - - 3.3454620838165283e-01 5.1441830396652222e-01 - <_> - - 0 -1 1403 -1.5089280168467667e-05 - - 5.5826562643051147e-01 4.4140571355819702e-01 - <_> - - 0 -1 1404 5.1994470413774252e-04 - - 4.6236801147460938e-01 6.1689937114715576e-01 - <_> - - 0 -1 1405 -3.4220460802316666e-03 - - 6.5570747852325439e-01 4.9748051166534424e-01 - <_> - - 0 -1 1406 1.7723299970384687e-04 - - 5.2695018053054810e-01 3.9019080996513367e-01 - <_> - - 0 -1 1407 1.5716759953647852e-03 - - 4.6333730220794678e-01 5.7904577255249023e-01 - <_> - - 0 -1 1408 -8.9041329920291901e-03 - - 2.6896080374717712e-01 5.0535911321640015e-01 - <_> - - 0 -1 1409 4.0677518700249493e-04 - - 5.4566031694412231e-01 4.3298989534378052e-01 - <_> - - 0 -1 1410 6.7604780197143555e-03 - - 4.6489939093589783e-01 6.6897618770599365e-01 - <_> - - 0 -1 1411 2.9100088868290186e-03 - - 5.3097039461135864e-01 3.3778399229049683e-01 - <_> - - 0 -1 1412 1.3885459629818797e-03 - - 4.0747389197349548e-01 5.3491330146789551e-01 - <_> - - 0 -1 1413 -7.6764263212680817e-02 - - 1.9921760261058807e-01 5.2282422780990601e-01 - <_> - - 0 -1 1414 -2.2688310127705336e-04 - - 5.4385018348693848e-01 4.2530721426010132e-01 - <_> - - 0 -1 1415 -6.3094152137637138e-03 - - 4.2591789364814758e-01 5.3789097070693970e-01 - <_> - - 0 -1 1416 -1.1007279902696609e-01 - - 6.9041568040847778e-01 4.7217491269111633e-01 - <_> - - 0 -1 1417 2.8619659133255482e-04 - - 4.5249149203300476e-01 5.5483061075210571e-01 - <_> - - 0 -1 1418 2.9425329557852820e-05 - - 5.3703737258911133e-01 4.2364639043807983e-01 - <_> - - 0 -1 1419 -2.4886570870876312e-02 - - 6.4235579967498779e-01 4.9693039059638977e-01 - <_> - - 0 -1 1420 3.3148851245641708e-02 - - 4.9884751439094543e-01 1.6138119995594025e-01 - <_> - - 0 -1 1421 7.8491691965609789e-04 - - 5.4160261154174805e-01 4.2230090498924255e-01 - <_> - - 0 -1 1422 4.7087189741432667e-03 - - 4.5763289928436279e-01 6.0275578498840332e-01 - <_> - - 0 -1 1423 2.4144479539245367e-03 - - 5.3089731931686401e-01 4.4224989414215088e-01 - <_> - - 0 -1 1424 1.9523180089890957e-03 - - 4.7056341171264648e-01 6.6633248329162598e-01 - <_> - - 0 -1 1425 1.3031980488449335e-03 - - 4.4061261415481567e-01 5.5269622802734375e-01 - <_> - - 0 -1 1426 4.4735497795045376e-03 - - 5.1290237903594971e-01 3.3014988899230957e-01 - <_> - - 0 -1 1427 -2.6652868837118149e-03 - - 3.1354710459709167e-01 5.1750361919403076e-01 - <_> - - 0 -1 1428 1.3666770246345550e-04 - - 4.1193708777427673e-01 5.3068768978118896e-01 - <_> - - 0 -1 1429 -1.7126450315117836e-02 - - 6.1778062582015991e-01 4.8365789651870728e-01 - <_> - - 0 -1 1430 -2.6601430727168918e-04 - - 3.6543309688568115e-01 5.1697367429733276e-01 - <_> - - 0 -1 1431 -2.2932380437850952e-02 - - 3.4909150004386902e-01 5.1639920473098755e-01 - <_> - - 0 -1 1432 2.3316550068557262e-03 - - 5.1662999391555786e-01 3.7093898653984070e-01 - <_> - - 0 -1 1433 1.6925660893321037e-02 - - 5.0147360563278198e-01 8.0539882183074951e-01 - <_> - - 0 -1 1434 -8.9858826249837875e-03 - - 6.4707887172698975e-01 4.6570208668708801e-01 - <_> - - 0 -1 1435 -1.1874699965119362e-02 - - 3.2463788986206055e-01 5.2587550878524780e-01 - <_> - - 0 -1 1436 1.9350569345988333e-04 - - 5.1919418573379517e-01 3.8396438956260681e-01 - <_> - - 0 -1 1437 5.8713490143418312e-03 - - 4.9181339144706726e-01 6.1870431900024414e-01 - <_> - - 0 -1 1438 -2.4838790297508240e-01 - - 1.8368029594421387e-01 4.9881500005722046e-01 - <_> - - 0 -1 1439 1.2256000190973282e-02 - - 5.2270537614822388e-01 3.6320298910140991e-01 - <_> - - 0 -1 1440 8.3990179700776935e-04 - - 4.4902500510215759e-01 5.7741481065750122e-01 - <_> - - 0 -1 1441 2.5407369248569012e-03 - - 4.8047870397567749e-01 5.8582991361618042e-01 - <_> - - 0 -1 1442 -1.4822429977357388e-02 - - 2.5210499763488770e-01 5.0235372781753540e-01 - <_> - - 0 -1 1443 -5.7973959483206272e-03 - - 5.9966957569122314e-01 4.8537150025367737e-01 - <_> - - 0 -1 1444 7.2662148158997297e-04 - - 5.1537168025970459e-01 3.6717799305915833e-01 - <_> - - 0 -1 1445 -1.7232580110430717e-02 - - 6.6217190027236938e-01 4.9946561455726624e-01 - <_> - - 0 -1 1446 7.8624086454510689e-03 - - 4.6333950757980347e-01 6.2561017274856567e-01 - <_> - - 0 -1 1447 -4.7343620099127293e-03 - - 3.6155730485916138e-01 5.2818852663040161e-01 - <_> - - 0 -1 1448 8.3048478700220585e-04 - - 4.4428890943527222e-01 5.5509579181671143e-01 - <_> - - 0 -1 1449 7.6602199114859104e-03 - - 5.1629352569580078e-01 2.6133549213409424e-01 - <_> - - 0 -1 1450 -4.1048377752304077e-03 - - 2.7896320819854736e-01 5.0190317630767822e-01 - <_> - - 0 -1 1451 4.8512578941881657e-03 - - 4.9689841270446777e-01 5.6616681814193726e-01 - <_> - - 0 -1 1452 9.9896453320980072e-04 - - 4.4456079602241516e-01 5.5518132448196411e-01 - <_> - - 0 -1 1453 -2.7023631334304810e-01 - - 2.9388209804892540e-02 5.1513141393661499e-01 - <_> - - 0 -1 1454 -1.3090680353343487e-02 - - 5.6993997097015381e-01 4.4474598765373230e-01 - <_> - - 0 -1 1455 -9.4342790544033051e-03 - - 4.3054661154747009e-01 5.4878950119018555e-01 - <_> - - 0 -1 1456 -1.5482039889320731e-03 - - 3.6803171038627625e-01 5.1280808448791504e-01 - <_> - - 0 -1 1457 5.3746132180094719e-03 - - 4.8389169573783875e-01 6.1015558242797852e-01 - <_> - - 0 -1 1458 1.5786769799888134e-03 - - 5.3252232074737549e-01 4.1185480356216431e-01 - <_> - - 0 -1 1459 3.6856050137430429e-03 - - 4.8109480738639832e-01 6.2523031234741211e-01 - <_> - - 0 -1 1460 9.3887019902467728e-03 - - 5.2002298831939697e-01 3.6294108629226685e-01 - <_> - - 0 -1 1461 1.2792630121111870e-02 - - 4.9617099761962891e-01 6.7380160093307495e-01 - <_> - - 0 -1 1462 -3.3661040943115950e-03 - - 4.0602791309356689e-01 5.2835988998413086e-01 - <_> - - 0 -1 1463 3.9771420415490866e-04 - - 4.6741139888763428e-01 5.9007751941680908e-01 - <_> - - 0 -1 1464 1.4868030557408929e-03 - - 4.5191168785095215e-01 6.0820537805557251e-01 - <_> - - 0 -1 1465 -8.8686749339103699e-02 - - 2.8078991174697876e-01 5.1809918880462646e-01 - <_> - - 0 -1 1466 -7.4296112870797515e-05 - - 5.2955842018127441e-01 4.0876251459121704e-01 - <_> - - 0 -1 1467 -1.4932939848222304e-05 - - 5.4614001512527466e-01 4.5385429263114929e-01 - <_> - - 0 -1 1468 5.9162238612771034e-03 - - 5.3291612863540649e-01 4.1921341419219971e-01 - <_> - - 0 -1 1469 1.1141640134155750e-03 - - 4.5120179653167725e-01 5.7062172889709473e-01 - <_> - - 0 -1 1470 8.9249362645205110e-05 - - 4.5778059959411621e-01 5.8976382017135620e-01 - <_> - - 0 -1 1471 2.5319510605186224e-03 - - 5.2996039390563965e-01 3.3576390147209167e-01 - <_> - - 0 -1 1472 1.2426200322806835e-02 - - 4.9590590596199036e-01 1.3466019928455353e-01 - <_> - - 0 -1 1473 2.8335750102996826e-02 - - 5.1170790195465088e-01 6.1043637106195092e-04 - <_> - - 0 -1 1474 6.6165882162749767e-03 - - 4.7363498806953430e-01 7.0116281509399414e-01 - <_> - - 0 -1 1475 8.0468766391277313e-03 - - 5.2164179086685181e-01 3.2828199863433838e-01 - <_> - - 0 -1 1476 -1.1193980462849140e-03 - - 5.8098608255386353e-01 4.5637390017509460e-01 - <_> - - 0 -1 1477 1.3277590274810791e-02 - - 5.3983622789382935e-01 4.1039010882377625e-01 - <_> - - 0 -1 1478 4.8794739996083081e-04 - - 4.2492860555648804e-01 5.4105907678604126e-01 - <_> - - 0 -1 1479 1.1243170127272606e-02 - - 5.2699637413024902e-01 3.4382158517837524e-01 - <_> - - 0 -1 1480 -8.9896668214350939e-04 - - 5.6330758333206177e-01 4.4566130638122559e-01 - <_> - - 0 -1 1481 6.6677159629762173e-03 - - 5.3128892183303833e-01 4.3626791238784790e-01 - <_> - - 0 -1 1482 2.8947299346327782e-02 - - 4.7017949819564819e-01 6.5757977962493896e-01 - <_> - - 0 -1 1483 -2.3400049656629562e-02 - - 0. 5.1373988389968872e-01 - <_> - - 0 -1 1484 -8.9117050170898438e-02 - - 2.3745279759168625e-02 4.9424308538436890e-01 - <_> - - 0 -1 1485 -1.4054600149393082e-02 - - 3.1273230910301208e-01 5.1175111532211304e-01 - <_> - - 0 -1 1486 8.1239398568868637e-03 - - 5.0090491771697998e-01 2.5200259685516357e-01 - <_> - - 0 -1 1487 -4.9964650534093380e-03 - - 6.3871437311172485e-01 4.9278119206428528e-01 - <_> - - 0 -1 1488 3.1253970228135586e-03 - - 5.1368498802185059e-01 3.6804521083831787e-01 - <_> - - 0 -1 1489 6.7669642157852650e-03 - - 5.5098438262939453e-01 4.3636319041252136e-01 - <_> - - 0 -1 1490 -2.3711440153419971e-03 - - 6.1623352766036987e-01 4.5869469642639160e-01 - <_> - - 0 -1 1491 -5.3522791713476181e-03 - - 6.1854577064514160e-01 4.9204909801483154e-01 - <_> - - 0 -1 1492 -1.5968859195709229e-02 - - 1.3826179504394531e-01 4.9832528829574585e-01 - <_> - - 0 -1 1493 4.7676060348749161e-03 - - 4.6880578994750977e-01 5.4900461435317993e-01 - <_> - - 0 -1 1494 -2.4714691098779440e-03 - - 2.3685149848461151e-01 5.0039529800415039e-01 - <_> - - 0 -1 1495 -7.1033788844943047e-04 - - 5.8563941717147827e-01 4.7215330600738525e-01 - <_> - - 0 -1 1496 -1.4117559790611267e-01 - - 8.6900062859058380e-02 4.9615910649299622e-01 - <_> - - 0 -1 1497 1.0651809722185135e-01 - - 5.1388370990753174e-01 1.7410050332546234e-01 - <_> - - 0 -1 1498 -5.2744749933481216e-02 - - 7.3536360263824463e-01 4.7728818655014038e-01 - <_> - - 0 -1 1499 -4.7431760467588902e-03 - - 3.8844060897827148e-01 5.2927017211914062e-01 - <_> - - 0 -1 1500 9.9676765967160463e-04 - - 5.2234929800033569e-01 4.0034240484237671e-01 - <_> - - 0 -1 1501 8.0284131690859795e-03 - - 4.9591061472892761e-01 7.2129642963409424e-01 - <_> - - 0 -1 1502 8.6025858763605356e-04 - - 4.4448840618133545e-01 5.5384761095046997e-01 - <_> - - 0 -1 1503 9.3191501218825579e-04 - - 5.3983712196350098e-01 4.1632440686225891e-01 - <_> - - 0 -1 1504 -2.5082060601562262e-03 - - 5.8542650938034058e-01 4.5625001192092896e-01 - <_> - - 0 -1 1505 -2.1378761157393456e-03 - - 4.6080690622329712e-01 5.2802592515945435e-01 - <_> - - 0 -1 1506 -2.1546049974858761e-03 - - 3.7911269068717957e-01 5.2559971809387207e-01 - <_> - - 0 -1 1507 -7.6214009895920753e-03 - - 5.9986090660095215e-01 4.9520739912986755e-01 - <_> - - 0 -1 1508 2.2055360022932291e-03 - - 4.4842061400413513e-01 5.5885308980941772e-01 - <_> - - 0 -1 1509 1.2586950324475765e-03 - - 5.4507470130920410e-01 4.4238409399986267e-01 - <_> - - 0 -1 1510 -5.0926720723509789e-03 - - 4.1182750463485718e-01 5.2630358934402466e-01 - <_> - - 0 -1 1511 -2.5095739401876926e-03 - - 5.7879078388214111e-01 4.9984949827194214e-01 - <_> - - 0 -1 1512 -7.7327556908130646e-02 - - 8.3978658914566040e-01 4.8111200332641602e-01 - <_> - - 0 -1 1513 -4.1485819965600967e-02 - - 2.4086110293865204e-01 5.1769930124282837e-01 - <_> - - 0 -1 1514 1.0355669655837119e-04 - - 4.3553608655929565e-01 5.4170542955398560e-01 - <_> - - 0 -1 1515 1.3255809899419546e-03 - - 5.4539710283279419e-01 4.8940950632095337e-01 - <_> - - 0 -1 1516 -8.0598732456564903e-03 - - 5.7710242271423340e-01 4.5779189467430115e-01 - <_> - - 0 -1 1517 1.9058620557188988e-02 - - 5.1698678731918335e-01 3.4004750847816467e-01 - <_> - - 0 -1 1518 -3.5057891160249710e-02 - - 2.2032439708709717e-01 5.0005030632019043e-01 - <_> - - 0 -1 1519 5.7296059094369411e-03 - - 5.0434082746505737e-01 6.5975707769393921e-01 - <_> - - 0 -1 1520 -1.1648329906165600e-02 - - 2.1862849593162537e-01 4.9966529011726379e-01 - <_> - - 0 -1 1521 1.4544479781761765e-03 - - 5.0076818466186523e-01 5.5037277936935425e-01 - <_> - - 0 -1 1522 -2.5030909455381334e-04 - - 4.1298410296440125e-01 5.2416700124740601e-01 - <_> - - 0 -1 1523 -8.2907272735610604e-04 - - 5.4128682613372803e-01 4.9744960665702820e-01 - <_> - - 0 -1 1524 1.0862209601327777e-03 - - 4.6055299043655396e-01 5.8792287111282349e-01 - <_> - - 0 -1 1525 2.0000500080641359e-04 - - 5.2788549661636353e-01 4.7052091360092163e-01 - <_> - - 0 -1 1526 2.9212920926511288e-03 - - 5.1296097040176392e-01 3.7555369734764099e-01 - <_> - - 0 -1 1527 2.5387400761246681e-02 - - 4.8226919770240784e-01 5.7907682657241821e-01 - <_> - - 0 -1 1528 -3.1968469265848398e-03 - - 5.2483952045440674e-01 3.9628401398658752e-01 - <_> - 182 - 9.0253349304199219e+01 - - <_> - - 0 -1 1529 5.8031738735735416e-03 - - 3.4989839792251587e-01 5.9619832038879395e-01 - <_> - - 0 -1 1530 -9.0003069490194321e-03 - - 6.8166369199752808e-01 4.4785520434379578e-01 - <_> - - 0 -1 1531 -1.1549659539014101e-03 - - 5.5857062339782715e-01 3.5782510042190552e-01 - <_> - - 0 -1 1532 -1.1069850297644734e-03 - - 5.3650361299514771e-01 3.0504280328750610e-01 - <_> - - 0 -1 1533 1.0308309720130637e-04 - - 3.6390951275825500e-01 5.3446358442306519e-01 - <_> - - 0 -1 1534 -5.0984839908778667e-03 - - 2.8591570258140564e-01 5.5042648315429688e-01 - <_> - - 0 -1 1535 8.2572200335562229e-04 - - 5.2365237474441528e-01 3.4760418534278870e-01 - <_> - - 0 -1 1536 9.9783325567841530e-03 - - 4.7503221035003662e-01 6.2196469306945801e-01 - <_> - - 0 -1 1537 -3.7402529269456863e-02 - - 3.3433759212493896e-01 5.2780628204345703e-01 - <_> - - 0 -1 1538 4.8548257909715176e-03 - - 5.1921808719635010e-01 3.7004441022872925e-01 - <_> - - 0 -1 1539 -1.8664470408111811e-03 - - 2.9298439621925354e-01 5.0919449329376221e-01 - <_> - - 0 -1 1540 1.6888890415430069e-02 - - 3.6868458986282349e-01 5.4312258958816528e-01 - <_> - - 0 -1 1541 -5.8372621424496174e-03 - - 3.6321839690208435e-01 5.2213358879089355e-01 - <_> - - 0 -1 1542 -1.4713739510625601e-03 - - 5.8706837892532349e-01 4.7006508708000183e-01 - <_> - - 0 -1 1543 -1.1522950371727347e-03 - - 3.1958949565887451e-01 5.1409542560577393e-01 - <_> - - 0 -1 1544 -4.2560300789773464e-03 - - 6.3018590211868286e-01 4.8149210214614868e-01 - <_> - - 0 -1 1545 -6.7378291860222816e-03 - - 1.9770480692386627e-01 5.0258082151412964e-01 - <_> - - 0 -1 1546 1.1382670141756535e-02 - - 4.9541321396827698e-01 6.8670457601547241e-01 - <_> - - 0 -1 1547 5.1794708706438541e-03 - - 5.1644277572631836e-01 3.3506479859352112e-01 - <_> - - 0 -1 1548 -1.1743789911270142e-01 - - 2.3152460157871246e-01 5.2344137430191040e-01 - <_> - - 0 -1 1549 2.8703449293971062e-02 - - 4.6642971038818359e-01 6.7225211858749390e-01 - <_> - - 0 -1 1550 4.8231030814349651e-03 - - 5.2208751440048218e-01 2.7235329151153564e-01 - <_> - - 0 -1 1551 2.6798530016094446e-03 - - 5.0792771577835083e-01 2.9069489240646362e-01 - <_> - - 0 -1 1552 8.0504082143306732e-03 - - 4.8859509825706482e-01 6.3950210809707642e-01 - <_> - - 0 -1 1553 4.8054959625005722e-03 - - 5.1972568035125732e-01 3.6566638946533203e-01 - <_> - - 0 -1 1554 -2.2420159075409174e-03 - - 6.1534678936004639e-01 4.7637018561363220e-01 - <_> - - 0 -1 1555 -1.3757710345089436e-02 - - 2.6373448967933655e-01 5.0309032201766968e-01 - <_> - - 0 -1 1556 -1.0338299721479416e-01 - - 2.2875219583511353e-01 5.1824611425399780e-01 - <_> - - 0 -1 1557 -9.4432085752487183e-03 - - 6.9533038139343262e-01 4.6949490904808044e-01 - <_> - - 0 -1 1558 8.0271181650459766e-04 - - 5.4506552219390869e-01 4.2687839269638062e-01 - <_> - - 0 -1 1559 -4.1945669800043106e-03 - - 6.0913878679275513e-01 4.5716428756713867e-01 - <_> - - 0 -1 1560 1.0942210443317890e-02 - - 5.2410632371902466e-01 3.2845470309257507e-01 - <_> - - 0 -1 1561 -5.7841069065034389e-04 - - 5.3879290819168091e-01 4.1793689131736755e-01 - <_> - - 0 -1 1562 -2.0888620056211948e-03 - - 4.2926910519599915e-01 5.3017157316207886e-01 - <_> - - 0 -1 1563 3.2383969519287348e-03 - - 3.7923479080200195e-01 5.2207440137863159e-01 - <_> - - 0 -1 1564 4.9075027927756310e-03 - - 5.2372831106185913e-01 4.1267579793930054e-01 - <_> - - 0 -1 1565 -3.2277941703796387e-02 - - 1.9476559758186340e-01 4.9945020675659180e-01 - <_> - - 0 -1 1566 -8.9711230248212814e-03 - - 6.0112851858139038e-01 4.9290320277214050e-01 - <_> - - 0 -1 1567 1.5321089886128902e-02 - - 5.0097537040710449e-01 2.0398220419883728e-01 - <_> - - 0 -1 1568 2.0855569746345282e-03 - - 4.8621898889541626e-01 5.7216948270797729e-01 - <_> - - 0 -1 1569 5.0615021027624607e-03 - - 5.0002187490463257e-01 1.8018059432506561e-01 - <_> - - 0 -1 1570 -3.7174751050770283e-03 - - 5.5301171541213989e-01 4.8975929617881775e-01 - <_> - - 0 -1 1571 -1.2170500122010708e-02 - - 4.1786059737205505e-01 5.3837239742279053e-01 - <_> - - 0 -1 1572 4.6248398721218109e-03 - - 4.9971699714660645e-01 5.7613271474838257e-01 - <_> - - 0 -1 1573 -2.1040429419372231e-04 - - 5.3318071365356445e-01 4.0976810455322266e-01 - <_> - - 0 -1 1574 -1.4641780406236649e-02 - - 5.7559251785278320e-01 5.0517761707305908e-01 - <_> - - 0 -1 1575 3.3199489116668701e-03 - - 4.5769768953323364e-01 6.0318058729171753e-01 - <_> - - 0 -1 1576 3.7236879579722881e-03 - - 4.3803969025611877e-01 5.4158830642700195e-01 - <_> - - 0 -1 1577 8.2951161311939359e-04 - - 5.1630318164825439e-01 3.7022191286087036e-01 - <_> - - 0 -1 1578 -1.1408490128815174e-02 - - 6.0729467868804932e-01 4.8625651001930237e-01 - <_> - - 0 -1 1579 -4.5320121571421623e-03 - - 3.2924759387969971e-01 5.0889629125595093e-01 - <_> - - 0 -1 1580 5.1276017911732197e-03 - - 4.8297679424285889e-01 6.1227089166641235e-01 - <_> - - 0 -1 1581 9.8583158105611801e-03 - - 4.6606799960136414e-01 6.5561771392822266e-01 - <_> - - 0 -1 1582 3.6985918879508972e-02 - - 5.2048492431640625e-01 1.6904720664024353e-01 - <_> - - 0 -1 1583 4.6491161920130253e-03 - - 5.1673221588134766e-01 3.7252250313758850e-01 - <_> - - 0 -1 1584 -4.2664702050387859e-03 - - 6.4064931869506836e-01 4.9873429536819458e-01 - <_> - - 0 -1 1585 -4.7956590424291790e-04 - - 5.8972930908203125e-01 4.4648739695549011e-01 - <_> - - 0 -1 1586 3.6827160511165857e-03 - - 5.4415607452392578e-01 3.4726628661155701e-01 - <_> - - 0 -1 1587 -1.0059880092740059e-02 - - 2.1431629359722137e-01 5.0048297643661499e-01 - <_> - - 0 -1 1588 -3.0361840617842972e-04 - - 5.3864240646362305e-01 4.5903238654136658e-01 - <_> - - 0 -1 1589 -1.4545479789376259e-03 - - 5.7511842250823975e-01 4.4970950484275818e-01 - <_> - - 0 -1 1590 1.6515209572389722e-03 - - 5.4219377040863037e-01 4.2385208606719971e-01 - <_> - - 0 -1 1591 -7.8468639403581619e-03 - - 4.0779209136962891e-01 5.2581572532653809e-01 - <_> - - 0 -1 1592 -5.1259850151836872e-03 - - 4.2292758822441101e-01 5.4794532060623169e-01 - <_> - - 0 -1 1593 -3.6890961229801178e-02 - - 6.5963757038116455e-01 4.6746781468391418e-01 - <_> - - 0 -1 1594 2.4035639944486320e-04 - - 4.2511358857154846e-01 5.5732029676437378e-01 - <_> - - 0 -1 1595 -1.5150169929256663e-05 - - 5.2592468261718750e-01 4.0741148591041565e-01 - <_> - - 0 -1 1596 2.2108471021056175e-03 - - 4.6717229485511780e-01 5.8863520622253418e-01 - <_> - - 0 -1 1597 -1.1568620102480054e-03 - - 5.7110661268234253e-01 4.4871619343757629e-01 - <_> - - 0 -1 1598 4.9996292218565941e-03 - - 5.2641981840133667e-01 2.8983271121978760e-01 - <_> - - 0 -1 1599 -1.4656189596280456e-03 - - 3.8917380571365356e-01 5.1978719234466553e-01 - <_> - - 0 -1 1600 -1.1975039960816503e-03 - - 5.7958728075027466e-01 4.9279558658599854e-01 - <_> - - 0 -1 1601 -4.4954330660402775e-03 - - 2.3776030540466309e-01 5.0125551223754883e-01 - <_> - - 0 -1 1602 1.4997160178609192e-04 - - 4.8766261339187622e-01 5.6176078319549561e-01 - <_> - - 0 -1 1603 2.6391509454697371e-03 - - 5.1680880784988403e-01 3.7655091285705566e-01 - <_> - - 0 -1 1604 -2.9368131072260439e-04 - - 5.4466491937637329e-01 4.8746308684349060e-01 - <_> - - 0 -1 1605 1.4211760135367513e-03 - - 4.6878978610038757e-01 6.6913318634033203e-01 - <_> - - 0 -1 1606 7.9427637159824371e-02 - - 5.1934438943862915e-01 2.7329459786415100e-01 - <_> - - 0 -1 1607 7.9937502741813660e-02 - - 4.9717310070991516e-01 1.7820839583873749e-01 - <_> - - 0 -1 1608 1.1089259758591652e-02 - - 5.1659947633743286e-01 3.2094758749008179e-01 - <_> - - 0 -1 1609 1.6560709627810866e-04 - - 4.0584719181060791e-01 5.3072762489318848e-01 - <_> - - 0 -1 1610 -5.3354292176663876e-03 - - 3.4450569748878479e-01 5.1581299304962158e-01 - <_> - - 0 -1 1611 1.1287260567769408e-03 - - 4.5948630571365356e-01 6.0755330324172974e-01 - <_> - - 0 -1 1612 -2.1969219669699669e-02 - - 1.6804009675979614e-01 5.2285957336425781e-01 - <_> - - 0 -1 1613 -2.1775320055894554e-04 - - 3.8615968823432922e-01 5.2156728506088257e-01 - <_> - - 0 -1 1614 2.0200149447191507e-04 - - 5.5179792642593384e-01 4.3630391359329224e-01 - <_> - - 0 -1 1615 -2.1733149886131287e-02 - - 7.9994601011276245e-01 4.7898510098457336e-01 - <_> - - 0 -1 1616 -8.4399932529777288e-04 - - 4.0859758853912354e-01 5.3747731447219849e-01 - <_> - - 0 -1 1617 -4.3895249837078154e-04 - - 5.4704052209854126e-01 4.3661430478096008e-01 - <_> - - 0 -1 1618 1.5092400135472417e-03 - - 4.9889969825744629e-01 5.8421492576599121e-01 - <_> - - 0 -1 1619 -3.5547839943319559e-03 - - 6.7536902427673340e-01 4.7210058569908142e-01 - <_> - - 0 -1 1620 4.8191400128416717e-04 - - 5.4158538579940796e-01 4.3571090698242188e-01 - <_> - - 0 -1 1621 -6.0264398343861103e-03 - - 2.2585099935531616e-01 4.9918809533119202e-01 - <_> - - 0 -1 1622 -1.1668140068650246e-02 - - 6.2565547227859497e-01 4.9274989962577820e-01 - <_> - - 0 -1 1623 -2.8718370012938976e-03 - - 3.9477849006652832e-01 5.2458018064498901e-01 - <_> - - 0 -1 1624 1.7051169648766518e-02 - - 4.7525110840797424e-01 5.7942241430282593e-01 - <_> - - 0 -1 1625 -1.3352080248296261e-02 - - 6.0411047935485840e-01 4.5445358753204346e-01 - <_> - - 0 -1 1626 -3.9301801007241011e-04 - - 4.2582759261131287e-01 5.5449050664901733e-01 - <_> - - 0 -1 1627 3.0483349692076445e-03 - - 5.2334201335906982e-01 3.7802729010581970e-01 - <_> - - 0 -1 1628 -4.3579288758337498e-03 - - 6.3718891143798828e-01 4.8386740684509277e-01 - <_> - - 0 -1 1629 5.6661018170416355e-03 - - 5.3747057914733887e-01 4.1636660695075989e-01 - <_> - - 0 -1 1630 6.0677339206449687e-05 - - 4.6387958526611328e-01 5.3116250038146973e-01 - <_> - - 0 -1 1631 3.6738160997629166e-02 - - 4.6886560320854187e-01 6.4665240049362183e-01 - <_> - - 0 -1 1632 8.6528137326240540e-03 - - 5.2043187618255615e-01 2.1886579692363739e-01 - <_> - - 0 -1 1633 -1.5371359884738922e-01 - - 1.6303719580173492e-01 4.9588400125503540e-01 - <_> - - 0 -1 1634 -4.1560421232134104e-04 - - 5.7744592428207397e-01 4.6964588761329651e-01 - <_> - - 0 -1 1635 -1.2640169588848948e-03 - - 3.9771759510040283e-01 5.2171981334686279e-01 - <_> - - 0 -1 1636 -3.5473341122269630e-03 - - 6.0465282201766968e-01 4.8083150386810303e-01 - <_> - - 0 -1 1637 3.0019069527043030e-05 - - 3.9967238903045654e-01 5.2282011508941650e-01 - <_> - - 0 -1 1638 1.3113019522279501e-03 - - 4.7121581435203552e-01 5.7659977674484253e-01 - <_> - - 0 -1 1639 -1.3374709524214268e-03 - - 4.1095849871635437e-01 5.2531701326370239e-01 - <_> - - 0 -1 1640 2.0876709371805191e-02 - - 5.2029937505722046e-01 1.7579819262027740e-01 - <_> - - 0 -1 1641 -7.5497948564589024e-03 - - 6.5666097402572632e-01 4.6949750185012817e-01 - <_> - - 0 -1 1642 2.4188550189137459e-02 - - 5.1286739110946655e-01 3.3702209591865540e-01 - <_> - - 0 -1 1643 -2.9358828905969858e-03 - - 6.5807867050170898e-01 4.6945410966873169e-01 - <_> - - 0 -1 1644 5.7557929307222366e-02 - - 5.1464450359344482e-01 2.7752599120140076e-01 - <_> - - 0 -1 1645 -1.1343370424583554e-03 - - 3.8366019725799561e-01 5.1926672458648682e-01 - <_> - - 0 -1 1646 1.6816999763250351e-02 - - 5.0855928659439087e-01 6.1772608757019043e-01 - <_> - - 0 -1 1647 5.0535178743302822e-03 - - 5.1387631893157959e-01 3.6847919225692749e-01 - <_> - - 0 -1 1648 -4.5874710194766521e-03 - - 5.9896552562713623e-01 4.8352020978927612e-01 - <_> - - 0 -1 1649 1.6882460331544280e-03 - - 4.5094868540763855e-01 5.7230567932128906e-01 - <_> - - 0 -1 1650 -1.6554000321775675e-03 - - 3.4967708587646484e-01 5.2433192729949951e-01 - <_> - - 0 -1 1651 -1.9373800605535507e-02 - - 1.1205369979143143e-01 4.9687129259109497e-01 - <_> - - 0 -1 1652 1.0374450124800205e-02 - - 5.1481968164443970e-01 4.3952131271362305e-01 - <_> - - 0 -1 1653 1.4973050565458834e-04 - - 4.0849998593330383e-01 5.2698868513107300e-01 - <_> - - 0 -1 1654 -4.2981930077075958e-02 - - 6.3941049575805664e-01 5.0185042619705200e-01 - <_> - - 0 -1 1655 8.3065936341881752e-03 - - 4.7075539827346802e-01 6.6983532905578613e-01 - <_> - - 0 -1 1656 -4.1285790503025055e-03 - - 4.5413690805435181e-01 5.3236472606658936e-01 - <_> - - 0 -1 1657 1.7399420030415058e-03 - - 4.3339619040489197e-01 5.4398661851882935e-01 - <_> - - 0 -1 1658 1.1739750334527344e-04 - - 4.5796871185302734e-01 5.5434262752532959e-01 - <_> - - 0 -1 1659 1.8585780344437808e-04 - - 4.3246439099311829e-01 5.4267549514770508e-01 - <_> - - 0 -1 1660 5.5587692186236382e-03 - - 5.2572208642959595e-01 3.5506111383438110e-01 - <_> - - 0 -1 1661 -7.9851560294628143e-03 - - 6.0430181026458740e-01 4.6306359767913818e-01 - <_> - - 0 -1 1662 6.0594122624024749e-04 - - 4.5982548594474792e-01 5.5331951379776001e-01 - <_> - - 0 -1 1663 -2.2983040253166109e-04 - - 4.1307520866394043e-01 5.3224611282348633e-01 - <_> - - 0 -1 1664 4.3740210821852088e-04 - - 4.0430399775505066e-01 5.4092890024185181e-01 - <_> - - 0 -1 1665 2.9482020181603730e-04 - - 4.4949638843536377e-01 5.6288522481918335e-01 - <_> - - 0 -1 1666 1.0312659665942192e-02 - - 5.1775109767913818e-01 2.7043169736862183e-01 - <_> - - 0 -1 1667 -7.7241109684109688e-03 - - 1.9880190491676331e-01 4.9805539846420288e-01 - <_> - - 0 -1 1668 -4.6797208487987518e-03 - - 6.6447502374649048e-01 5.0182962417602539e-01 - <_> - - 0 -1 1669 -5.0755459815263748e-03 - - 3.8983049988746643e-01 5.1852691173553467e-01 - <_> - - 0 -1 1670 2.2479740437120199e-03 - - 4.8018088936805725e-01 5.6603360176086426e-01 - <_> - - 0 -1 1671 8.3327008178457618e-04 - - 5.2109199762344360e-01 3.9571881294250488e-01 - <_> - - 0 -1 1672 -4.1279330849647522e-02 - - 6.1545419692993164e-01 5.0070542097091675e-01 - <_> - - 0 -1 1673 -5.0930189900100231e-04 - - 3.9759421348571777e-01 5.2284038066864014e-01 - <_> - - 0 -1 1674 1.2568780221045017e-03 - - 4.9791380763053894e-01 5.9391832351684570e-01 - <_> - - 0 -1 1675 8.0048497766256332e-03 - - 4.9844971299171448e-01 1.6333660483360291e-01 - <_> - - 0 -1 1676 -1.1879300000146031e-03 - - 5.9049648046493530e-01 4.9426248669624329e-01 - <_> - - 0 -1 1677 6.1948952497914433e-04 - - 4.1995579004287720e-01 5.3287261724472046e-01 - <_> - - 0 -1 1678 6.6829859279096127e-03 - - 5.4186028242111206e-01 4.9058890342712402e-01 - <_> - - 0 -1 1679 -3.7062340416014194e-03 - - 3.7259390950202942e-01 5.1380002498626709e-01 - <_> - - 0 -1 1680 -3.9739411324262619e-02 - - 6.4789611101150513e-01 5.0503468513488770e-01 - <_> - - 0 -1 1681 1.4085009461268783e-03 - - 4.6823391318321228e-01 6.3778841495513916e-01 - <_> - - 0 -1 1682 3.9322688826359808e-04 - - 5.4585301876068115e-01 4.1504821181297302e-01 - <_> - - 0 -1 1683 -1.8979819724336267e-03 - - 3.6901599168777466e-01 5.1497042179107666e-01 - <_> - - 0 -1 1684 -1.3970440253615379e-02 - - 6.0505628585815430e-01 4.8113578557968140e-01 - <_> - - 0 -1 1685 -1.0100819915533066e-01 - - 2.0170800387859344e-01 4.9923619627952576e-01 - <_> - - 0 -1 1686 -1.7346920445561409e-02 - - 5.7131487131118774e-01 4.8994860053062439e-01 - <_> - - 0 -1 1687 1.5619759506080300e-04 - - 4.2153888940811157e-01 5.3926420211791992e-01 - <_> - - 0 -1 1688 1.3438929617404938e-01 - - 5.1361519098281860e-01 3.7676128745079041e-01 - <_> - - 0 -1 1689 -2.4582240730524063e-02 - - 7.0273578166961670e-01 4.7479069232940674e-01 - <_> - - 0 -1 1690 -3.8553720805794001e-03 - - 4.3174090981483459e-01 5.4277169704437256e-01 - <_> - - 0 -1 1691 -2.3165249731391668e-03 - - 5.9426987171173096e-01 4.6186479926109314e-01 - <_> - - 0 -1 1692 -4.8518120311200619e-03 - - 6.1915689706802368e-01 4.8848950862884521e-01 - <_> - - 0 -1 1693 2.4699938949197531e-03 - - 5.2566647529602051e-01 4.0171998739242554e-01 - <_> - - 0 -1 1694 4.5496959239244461e-02 - - 5.2378678321838379e-01 2.6857739686965942e-01 - <_> - - 0 -1 1695 -2.0319599658250809e-02 - - 2.1304459869861603e-01 4.9797388911247253e-01 - <_> - - 0 -1 1696 2.6994998916052282e-04 - - 4.8140418529510498e-01 5.5431222915649414e-01 - <_> - - 0 -1 1697 -1.8232699949294329e-03 - - 6.4825797080993652e-01 4.7099891304969788e-01 - <_> - - 0 -1 1698 -6.3015790656208992e-03 - - 4.5819279551506042e-01 5.3062361478805542e-01 - <_> - - 0 -1 1699 -2.4139499873854220e-04 - - 5.2320867776870728e-01 4.0517631173133850e-01 - <_> - - 0 -1 1700 -1.0330369696021080e-03 - - 5.5562019348144531e-01 4.7891938686370850e-01 - <_> - - 0 -1 1701 1.8041160365100950e-04 - - 5.2294427156448364e-01 4.0118101239204407e-01 - <_> - - 0 -1 1702 -6.1407860368490219e-02 - - 6.2986820936203003e-01 5.0107032060623169e-01 - <_> - - 0 -1 1703 -6.9543913006782532e-02 - - 7.2282809019088745e-01 4.7731840610504150e-01 - <_> - - 0 -1 1704 -7.0542663335800171e-02 - - 2.2695130109786987e-01 5.1825290918350220e-01 - <_> - - 0 -1 1705 2.4423799477517605e-03 - - 5.2370971441268921e-01 4.0981510281562805e-01 - <_> - - 0 -1 1706 1.5494349645450711e-03 - - 4.7737509012222290e-01 5.4680430889129639e-01 - <_> - - 0 -1 1707 -2.3914219811558723e-02 - - 7.1469759941101074e-01 4.7838249802589417e-01 - <_> - - 0 -1 1708 -1.2453690171241760e-02 - - 2.6352968811988831e-01 5.2411228418350220e-01 - <_> - - 0 -1 1709 -2.0760179904755205e-04 - - 3.6237570643424988e-01 5.1136088371276855e-01 - <_> - - 0 -1 1710 2.9781080229440704e-05 - - 4.7059321403503418e-01 5.4328018426895142e-01 - <_> - 211 - 1.0474919891357422e+02 - - <_> - - 0 -1 1711 1.1772749945521355e-02 - - 3.8605189323425293e-01 6.4211672544479370e-01 - <_> - - 0 -1 1712 2.7037570253014565e-02 - - 4.3856549263000488e-01 6.7540389299392700e-01 - <_> - - 0 -1 1713 -3.6419500247575343e-05 - - 5.4871010780334473e-01 3.4233158826828003e-01 - <_> - - 0 -1 1714 1.9995409529656172e-03 - - 3.2305321097373962e-01 5.4003179073333740e-01 - <_> - - 0 -1 1715 4.5278300531208515e-03 - - 5.0916397571563721e-01 2.9350438714027405e-01 - <_> - - 0 -1 1716 4.7890920541249216e-04 - - 4.1781538724899292e-01 5.3440642356872559e-01 - <_> - - 0 -1 1717 1.1720920447260141e-03 - - 2.8991821408271790e-01 5.1320707798004150e-01 - <_> - - 0 -1 1718 9.5305702416226268e-04 - - 4.2801249027252197e-01 5.5608451366424561e-01 - <_> - - 0 -1 1719 1.5099150004971307e-05 - - 4.0448719263076782e-01 5.4047602415084839e-01 - <_> - - 0 -1 1720 -6.0817901976406574e-04 - - 4.2717689275741577e-01 5.5034661293029785e-01 - <_> - - 0 -1 1721 3.3224520739167929e-03 - - 3.9627239108085632e-01 5.3697347640991211e-01 - <_> - - 0 -1 1722 -1.1037490330636501e-03 - - 4.7271779179573059e-01 5.2377498149871826e-01 - <_> - - 0 -1 1723 -1.4350269921123981e-03 - - 5.6030082702636719e-01 4.2235091328620911e-01 - <_> - - 0 -1 1724 2.0767399109899998e-03 - - 5.2259171009063721e-01 4.7327259182929993e-01 - <_> - - 0 -1 1725 -1.6412809782195836e-04 - - 3.9990758895874023e-01 5.4327398538589478e-01 - <_> - - 0 -1 1726 8.8302437216043472e-03 - - 4.6783858537673950e-01 6.0273271799087524e-01 - <_> - - 0 -1 1727 -1.0552070103585720e-02 - - 3.4939670562744141e-01 5.2139747142791748e-01 - <_> - - 0 -1 1728 -2.2731600329279900e-03 - - 6.1858189105987549e-01 4.7490629553794861e-01 - <_> - - 0 -1 1729 -8.4786332445219159e-04 - - 5.2853411436080933e-01 3.8434821367263794e-01 - <_> - - 0 -1 1730 1.2081359745934606e-03 - - 5.3606408834457397e-01 3.4473359584808350e-01 - <_> - - 0 -1 1731 2.6512730401009321e-03 - - 4.5582920312881470e-01 6.1939620971679688e-01 - <_> - - 0 -1 1732 -1.1012479662895203e-03 - - 3.6802300810813904e-01 5.3276282548904419e-01 - <_> - - 0 -1 1733 4.9561518244445324e-04 - - 3.9605951309204102e-01 5.2749407291412354e-01 - <_> - - 0 -1 1734 -4.3901771306991577e-02 - - 7.0204448699951172e-01 4.9928390979766846e-01 - <_> - - 0 -1 1735 3.4690350294113159e-02 - - 5.0491642951965332e-01 2.7666029334068298e-01 - <_> - - 0 -1 1736 -2.7442190330475569e-03 - - 2.6726329326629639e-01 5.2749711275100708e-01 - <_> - - 0 -1 1737 3.3316588960587978e-03 - - 4.5794829726219177e-01 6.0011017322540283e-01 - <_> - - 0 -1 1738 -2.0044570788741112e-02 - - 3.1715941429138184e-01 5.2357178926467896e-01 - <_> - - 0 -1 1739 1.3492030557245016e-03 - - 5.2653628587722778e-01 4.0343248844146729e-01 - <_> - - 0 -1 1740 2.9702018946409225e-03 - - 5.3324568271636963e-01 4.5719841122627258e-01 - <_> - - 0 -1 1741 6.3039981760084629e-03 - - 4.5933109521865845e-01 6.0346359014511108e-01 - <_> - - 0 -1 1742 -1.2936590239405632e-02 - - 4.4379639625549316e-01 5.3729712963104248e-01 - <_> - - 0 -1 1743 4.0148729458451271e-03 - - 4.6803238987922668e-01 6.4378339052200317e-01 - <_> - - 0 -1 1744 -2.6401679497212172e-03 - - 3.7096318602561951e-01 5.3143328428268433e-01 - <_> - - 0 -1 1745 1.3918439857661724e-02 - - 4.7235551476478577e-01 7.1308088302612305e-01 - <_> - - 0 -1 1746 -4.5087869511917233e-04 - - 4.4923940300941467e-01 5.3704041242599487e-01 - <_> - - 0 -1 1747 2.5384349282830954e-04 - - 4.4068640470504761e-01 5.5144029855728149e-01 - <_> - - 0 -1 1748 2.2710000630468130e-03 - - 4.6824169158935547e-01 5.9679841995239258e-01 - <_> - - 0 -1 1749 2.4120779708027840e-03 - - 5.0793921947479248e-01 3.0185988545417786e-01 - <_> - - 0 -1 1750 -3.6025670851813629e-05 - - 5.6010371446609497e-01 4.4710969924926758e-01 - <_> - - 0 -1 1751 -7.4905529618263245e-03 - - 2.2075350582599640e-01 4.9899441003799438e-01 - <_> - - 0 -1 1752 -1.7513120546936989e-02 - - 6.5312159061431885e-01 5.0176489353179932e-01 - <_> - - 0 -1 1753 1.4281630516052246e-01 - - 4.9679630994796753e-01 1.4820620417594910e-01 - <_> - - 0 -1 1754 5.5345268920063972e-03 - - 4.8989468812942505e-01 5.9542238712310791e-01 - <_> - - 0 -1 1755 -9.6323591424152255e-04 - - 3.9271169900894165e-01 5.1960742473602295e-01 - <_> - - 0 -1 1756 -2.0370010752230883e-03 - - 5.6133252382278442e-01 4.8848581314086914e-01 - <_> - - 0 -1 1757 1.6614829655736685e-03 - - 4.4728800654411316e-01 5.5788809061050415e-01 - <_> - - 0 -1 1758 -3.1188090797513723e-03 - - 3.8405328989028931e-01 5.3974777460098267e-01 - <_> - - 0 -1 1759 -6.4000617712736130e-03 - - 5.8439838886260986e-01 4.5332181453704834e-01 - <_> - - 0 -1 1760 3.1319601112045348e-04 - - 5.4392218589782715e-01 4.2347279191017151e-01 - <_> - - 0 -1 1761 -1.8222099170088768e-02 - - 1.2884649634361267e-01 4.9584048986434937e-01 - <_> - - 0 -1 1762 8.7969247251749039e-03 - - 4.9512979388237000e-01 7.1534800529479980e-01 - <_> - - 0 -1 1763 -4.2395070195198059e-03 - - 3.9465999603271484e-01 5.1949369907379150e-01 - <_> - - 0 -1 1764 9.7086271271109581e-03 - - 4.8975038528442383e-01 6.0649001598358154e-01 - <_> - - 0 -1 1765 -3.9934171363711357e-03 - - 3.2454401254653931e-01 5.0608289241790771e-01 - <_> - - 0 -1 1766 -1.6785059124231339e-02 - - 1.5819530189037323e-01 5.2037787437438965e-01 - <_> - - 0 -1 1767 1.8272090703248978e-02 - - 4.6809351444244385e-01 6.6269791126251221e-01 - <_> - - 0 -1 1768 5.6872838176786900e-03 - - 5.2116978168487549e-01 3.5121849179267883e-01 - <_> - - 0 -1 1769 -1.0739039862528443e-03 - - 5.7683861255645752e-01 4.5298451185226440e-01 - <_> - - 0 -1 1770 -3.7093870341777802e-03 - - 4.5077630877494812e-01 5.3135812282562256e-01 - <_> - - 0 -1 1771 -2.1110709349159151e-04 - - 5.4608201980590820e-01 4.3333768844604492e-01 - <_> - - 0 -1 1772 1.0670139454305172e-03 - - 5.3718560934066772e-01 4.0783908963203430e-01 - <_> - - 0 -1 1773 3.5943021066486835e-03 - - 4.4712871313095093e-01 5.6438362598419189e-01 - <_> - - 0 -1 1774 -5.1776031032204628e-03 - - 4.4993931055068970e-01 5.2803301811218262e-01 - <_> - - 0 -1 1775 -2.5414369883947074e-04 - - 5.5161732435226440e-01 4.4077080488204956e-01 - <_> - - 0 -1 1776 6.3522560521960258e-03 - - 5.1941901445388794e-01 2.4652279913425446e-01 - <_> - - 0 -1 1777 -4.4205080484971404e-04 - - 3.8307058811187744e-01 5.1396822929382324e-01 - <_> - - 0 -1 1778 7.4488727841526270e-04 - - 4.8910909891128540e-01 5.9747868776321411e-01 - <_> - - 0 -1 1779 -3.5116379149258137e-03 - - 7.4136817455291748e-01 4.7687649726867676e-01 - <_> - - 0 -1 1780 -1.2540910392999649e-02 - - 3.6488190293312073e-01 5.2528268098831177e-01 - <_> - - 0 -1 1781 9.4931852072477341e-03 - - 5.1004928350448608e-01 3.6295869946479797e-01 - <_> - - 0 -1 1782 1.2961150147020817e-02 - - 5.2324420213699341e-01 4.3335610628128052e-01 - <_> - - 0 -1 1783 4.7209449112415314e-03 - - 4.6481490135192871e-01 6.3310527801513672e-01 - <_> - - 0 -1 1784 -2.3119079414755106e-03 - - 5.9303098917007446e-01 4.5310580730438232e-01 - <_> - - 0 -1 1785 -2.8262299019843340e-03 - - 3.8704779744148254e-01 5.2571010589599609e-01 - <_> - - 0 -1 1786 -1.4311339473351836e-03 - - 5.5225032567977905e-01 4.5618548989295959e-01 - <_> - - 0 -1 1787 1.9378310535103083e-03 - - 4.5462208986282349e-01 5.7369667291641235e-01 - <_> - - 0 -1 1788 2.6343559147790074e-04 - - 5.3457391262054443e-01 4.5718750357627869e-01 - <_> - - 0 -1 1789 7.8257522545754910e-04 - - 3.9678159356117249e-01 5.2201879024505615e-01 - <_> - - 0 -1 1790 -1.9550440832972527e-02 - - 2.8296428918838501e-01 5.2435082197189331e-01 - <_> - - 0 -1 1791 4.3914958951063454e-04 - - 4.5900669693946838e-01 5.8990901708602905e-01 - <_> - - 0 -1 1792 2.1452000364661217e-02 - - 5.2314108610153198e-01 2.8553789854049683e-01 - <_> - - 0 -1 1793 5.8973580598831177e-04 - - 4.3972569704055786e-01 5.5064219236373901e-01 - <_> - - 0 -1 1794 -2.6157610118389130e-02 - - 3.1350791454315186e-01 5.1891750097274780e-01 - <_> - - 0 -1 1795 -1.3959860429167747e-02 - - 3.2132729887962341e-01 5.0407177209854126e-01 - <_> - - 0 -1 1796 -6.3699018210172653e-03 - - 6.3875448703765869e-01 4.8495069146156311e-01 - <_> - - 0 -1 1797 -8.5613820701837540e-03 - - 2.7591320872306824e-01 5.0320190191268921e-01 - <_> - - 0 -1 1798 9.6622901037335396e-04 - - 4.6856409311294556e-01 5.8348792791366577e-01 - <_> - - 0 -1 1799 7.6550268568098545e-04 - - 5.1752072572708130e-01 3.8964220881462097e-01 - <_> - - 0 -1 1800 -8.1833340227603912e-03 - - 2.0691369473934174e-01 5.2081221342086792e-01 - <_> - - 0 -1 1801 -9.3976939097046852e-03 - - 6.1340910196304321e-01 4.6412229537963867e-01 - <_> - - 0 -1 1802 4.8028980381786823e-03 - - 5.4541081190109253e-01 4.3952199816703796e-01 - <_> - - 0 -1 1803 -3.5680569708347321e-03 - - 6.3444852828979492e-01 4.6810939908027649e-01 - <_> - - 0 -1 1804 4.0733120404183865e-03 - - 5.2926832437515259e-01 4.0156200528144836e-01 - <_> - - 0 -1 1805 1.2568129459396005e-03 - - 4.3929880857467651e-01 5.4528248310089111e-01 - <_> - - 0 -1 1806 -2.9065010603517294e-03 - - 5.8988320827484131e-01 4.8633798956871033e-01 - <_> - - 0 -1 1807 -2.4409340694546700e-03 - - 4.0693649649620056e-01 5.2474218606948853e-01 - <_> - - 0 -1 1808 2.4830700829625130e-02 - - 5.1827257871627808e-01 3.6825248599052429e-01 - <_> - - 0 -1 1809 -4.8854008316993713e-02 - - 1.3075779378414154e-01 4.9612811207771301e-01 - <_> - - 0 -1 1810 -1.6110379947349429e-03 - - 6.4210057258605957e-01 4.8726621270179749e-01 - <_> - - 0 -1 1811 -9.7009479999542236e-02 - - 4.7769349068403244e-02 4.9509888887405396e-01 - <_> - - 0 -1 1812 1.1209240183234215e-03 - - 4.6162670850753784e-01 5.3547459840774536e-01 - <_> - - 0 -1 1813 -1.3064090162515640e-03 - - 6.2618541717529297e-01 4.6388059854507446e-01 - <_> - - 0 -1 1814 4.5771620352752507e-04 - - 5.3844177722930908e-01 4.6466401219367981e-01 - <_> - - 0 -1 1815 -6.3149951165542006e-04 - - 3.8040471076965332e-01 5.1302570104598999e-01 - <_> - - 0 -1 1816 1.4505970466416329e-04 - - 4.5543101429939270e-01 5.6644618511199951e-01 - <_> - - 0 -1 1817 -1.6474550589919090e-02 - - 6.5969580411911011e-01 4.7158598899841309e-01 - <_> - - 0 -1 1818 1.3369579799473286e-02 - - 5.1954662799835205e-01 3.0359649658203125e-01 - <_> - - 0 -1 1819 1.0271780047332868e-04 - - 5.2291762828826904e-01 4.1070660948753357e-01 - <_> - - 0 -1 1820 -5.5311559699475765e-03 - - 6.3528877496719360e-01 4.9609071016311646e-01 - <_> - - 0 -1 1821 -2.6187049224972725e-03 - - 3.8245460391044617e-01 5.1409840583801270e-01 - <_> - - 0 -1 1822 5.0834268331527710e-03 - - 4.9504399299621582e-01 6.2208187580108643e-01 - <_> - - 0 -1 1823 7.9818159341812134e-02 - - 4.9523359537124634e-01 1.3224759697914124e-01 - <_> - - 0 -1 1824 -9.9226586520671844e-02 - - 7.5427287817001343e-01 5.0084167718887329e-01 - <_> - - 0 -1 1825 -6.5174017800018191e-04 - - 3.6993029713630676e-01 5.1301211118698120e-01 - <_> - - 0 -1 1826 -1.8996849656105042e-02 - - 6.6891789436340332e-01 4.9212029576301575e-01 - <_> - - 0 -1 1827 1.7346899956464767e-02 - - 4.9833008646965027e-01 1.8591980636119843e-01 - <_> - - 0 -1 1828 5.5082101607695222e-04 - - 4.5744240283966064e-01 5.5221217870712280e-01 - <_> - - 0 -1 1829 2.0056050270795822e-03 - - 5.1317447423934937e-01 3.8564699888229370e-01 - <_> - - 0 -1 1830 -7.7688191086053848e-03 - - 4.3617001175880432e-01 5.4343092441558838e-01 - <_> - - 0 -1 1831 5.0878278911113739e-02 - - 4.6827208995819092e-01 6.8406397104263306e-01 - <_> - - 0 -1 1832 -2.2901780903339386e-03 - - 4.3292450904846191e-01 5.3060990571975708e-01 - <_> - - 0 -1 1833 -1.5715380141045898e-04 - - 5.3700572252273560e-01 4.3781641125679016e-01 - <_> - - 0 -1 1834 1.0519240051507950e-01 - - 5.1372742652893066e-01 6.7361466586589813e-02 - <_> - - 0 -1 1835 2.7198919560760260e-03 - - 4.1120609641075134e-01 5.2556651830673218e-01 - <_> - - 0 -1 1836 4.8337779939174652e-02 - - 5.4046237468719482e-01 4.4389671087265015e-01 - <_> - - 0 -1 1837 9.5703761326149106e-04 - - 4.3559691309928894e-01 5.3995108604431152e-01 - <_> - - 0 -1 1838 -2.5371259078383446e-02 - - 5.9951752424240112e-01 5.0310248136520386e-01 - <_> - - 0 -1 1839 5.2457951009273529e-02 - - 4.9502879381179810e-01 1.3983510434627533e-01 - <_> - - 0 -1 1840 -1.2365629896521568e-02 - - 6.3972991704940796e-01 4.9641060829162598e-01 - <_> - - 0 -1 1841 -1.4589719474315643e-01 - - 1.0016699880361557e-01 4.9463221430778503e-01 - <_> - - 0 -1 1842 -1.5908600762486458e-02 - - 3.3123299479484558e-01 5.2083408832550049e-01 - <_> - - 0 -1 1843 3.9486068999394774e-04 - - 4.4063639640808105e-01 5.4261028766632080e-01 - <_> - - 0 -1 1844 -5.2454001270234585e-03 - - 2.7995899319648743e-01 5.1899671554565430e-01 - <_> - - 0 -1 1845 -5.0421799533069134e-03 - - 6.9875800609588623e-01 4.7521421313285828e-01 - <_> - - 0 -1 1846 2.9812189750373363e-03 - - 4.9832889437675476e-01 6.3074797391891479e-01 - <_> - - 0 -1 1847 -7.2884308174252510e-03 - - 2.9823330044746399e-01 5.0268697738647461e-01 - <_> - - 0 -1 1848 1.5094350092113018e-03 - - 5.3084421157836914e-01 3.8329708576202393e-01 - <_> - - 0 -1 1849 -9.3340799212455750e-03 - - 2.0379640161991119e-01 4.9698171019554138e-01 - <_> - - 0 -1 1850 2.8667140752077103e-02 - - 5.0256967544555664e-01 6.9280272722244263e-01 - <_> - - 0 -1 1851 1.7019680142402649e-01 - - 4.9600529670715332e-01 1.4764429628849030e-01 - <_> - - 0 -1 1852 -3.2614478841423988e-03 - - 5.6030637025833130e-01 4.8260560631752014e-01 - <_> - - 0 -1 1853 5.5769277969375253e-04 - - 5.2055621147155762e-01 4.1296330094337463e-01 - <_> - - 0 -1 1854 3.6258339881896973e-01 - - 5.2216529846191406e-01 3.7686121463775635e-01 - <_> - - 0 -1 1855 -1.1615130119025707e-02 - - 6.0226827859878540e-01 4.6374899148941040e-01 - <_> - - 0 -1 1856 -4.0795197710394859e-03 - - 4.0704470872879028e-01 5.3374791145324707e-01 - <_> - - 0 -1 1857 5.7204300537705421e-04 - - 4.6018350124359131e-01 5.9003931283950806e-01 - <_> - - 0 -1 1858 6.7543348995968699e-04 - - 5.3982520103454590e-01 4.3454289436340332e-01 - <_> - - 0 -1 1859 6.3295697327703238e-04 - - 5.2015632390975952e-01 4.0513589978218079e-01 - <_> - - 0 -1 1860 1.2435320531949401e-03 - - 4.6423879265785217e-01 5.5474412441253662e-01 - <_> - - 0 -1 1861 -4.7363857738673687e-03 - - 6.1985671520233154e-01 4.6725520491600037e-01 - <_> - - 0 -1 1862 -6.4658462069928646e-03 - - 6.8373328447341919e-01 5.0190007686614990e-01 - <_> - - 0 -1 1863 3.5017321351915598e-04 - - 4.3448030948638916e-01 5.3636229038238525e-01 - <_> - - 0 -1 1864 1.5754920605104417e-04 - - 4.7600790858268738e-01 5.7320207357406616e-01 - <_> - - 0 -1 1865 9.9774366244673729e-03 - - 5.0909858942031860e-01 3.6350399255752563e-01 - <_> - - 0 -1 1866 -4.1464529931545258e-04 - - 5.5700647830963135e-01 4.5938020944595337e-01 - <_> - - 0 -1 1867 -3.5888899583369493e-04 - - 5.3568458557128906e-01 4.3391349911689758e-01 - <_> - - 0 -1 1868 4.0463250479660928e-04 - - 4.4398030638694763e-01 5.4367768764495850e-01 - <_> - - 0 -1 1869 -8.2184787606820464e-04 - - 4.0422949194908142e-01 5.1762992143630981e-01 - <_> - - 0 -1 1870 5.9467419050633907e-03 - - 4.9276518821716309e-01 5.6337797641754150e-01 - <_> - - 0 -1 1871 -2.1753389388322830e-02 - - 8.0062937736511230e-01 4.8008409142494202e-01 - <_> - - 0 -1 1872 -1.4540379866957664e-02 - - 3.9460548758506775e-01 5.1822227239608765e-01 - <_> - - 0 -1 1873 -4.0510769933462143e-02 - - 2.1324990317225456e-02 4.9357929825782776e-01 - <_> - - 0 -1 1874 -5.8458268176764250e-04 - - 4.0127959847450256e-01 5.3140252828598022e-01 - <_> - - 0 -1 1875 5.5151800625026226e-03 - - 4.6424189209938049e-01 5.8962607383728027e-01 - <_> - - 0 -1 1876 -6.0626221820712090e-03 - - 6.5021592378616333e-01 5.0164777040481567e-01 - <_> - - 0 -1 1877 9.4535842537879944e-02 - - 5.2647089958190918e-01 4.1268271207809448e-01 - <_> - - 0 -1 1878 4.7315051779150963e-03 - - 4.8791998624801636e-01 5.8924478292465210e-01 - <_> - - 0 -1 1879 -5.2571471314877272e-04 - - 3.9172801375389099e-01 5.1894128322601318e-01 - <_> - - 0 -1 1880 -2.5464049540460110e-03 - - 5.8375990390777588e-01 4.9857059121131897e-01 - <_> - - 0 -1 1881 -2.6075689122080803e-02 - - 1.2619839608669281e-01 4.9558219313621521e-01 - <_> - - 0 -1 1882 -5.4779709316790104e-03 - - 5.7225137948989868e-01 5.0102657079696655e-01 - <_> - - 0 -1 1883 5.1337741315364838e-03 - - 5.2732622623443604e-01 4.2263761162757874e-01 - <_> - - 0 -1 1884 4.7944980906322598e-04 - - 4.4500669836997986e-01 5.8195871114730835e-01 - <_> - - 0 -1 1885 -2.1114079281687737e-03 - - 5.7576531171798706e-01 4.5117148756980896e-01 - <_> - - 0 -1 1886 -1.3179990462958813e-02 - - 1.8843810260295868e-01 5.1607340574264526e-01 - <_> - - 0 -1 1887 -4.7968099825084209e-03 - - 6.5897899866104126e-01 4.7361189126968384e-01 - <_> - - 0 -1 1888 6.7483168095350266e-03 - - 5.2594298124313354e-01 3.3563950657844543e-01 - <_> - - 0 -1 1889 1.4623369788751006e-03 - - 5.3552711009979248e-01 4.2640921473503113e-01 - <_> - - 0 -1 1890 4.7645159065723419e-03 - - 5.0344067811965942e-01 5.7868278026580811e-01 - <_> - - 0 -1 1891 6.8066660314798355e-03 - - 4.7566050291061401e-01 6.6778290271759033e-01 - <_> - - 0 -1 1892 3.6608621012419462e-03 - - 5.3696119785308838e-01 4.3115469813346863e-01 - <_> - - 0 -1 1893 2.1449640393257141e-02 - - 4.9686419963836670e-01 1.8888160586357117e-01 - <_> - - 0 -1 1894 4.1678901761770248e-03 - - 4.9307331442832947e-01 5.8153688907623291e-01 - <_> - - 0 -1 1895 8.6467564105987549e-03 - - 5.2052050828933716e-01 4.1325950622558594e-01 - <_> - - 0 -1 1896 -3.6114078829996288e-04 - - 5.4835551977157593e-01 4.8009279370307922e-01 - <_> - - 0 -1 1897 1.0808729566633701e-03 - - 4.6899020671844482e-01 6.0414212942123413e-01 - <_> - - 0 -1 1898 5.7719959877431393e-03 - - 5.1711422204971313e-01 3.0532771348953247e-01 - <_> - - 0 -1 1899 1.5720770461484790e-03 - - 5.2199780941009521e-01 4.1788038611412048e-01 - <_> - - 0 -1 1900 -1.9307859474793077e-03 - - 5.8603698015213013e-01 4.8129200935363770e-01 - <_> - - 0 -1 1901 -7.8926272690296173e-03 - - 1.7492769658565521e-01 4.9717339873313904e-01 - <_> - - 0 -1 1902 -2.2224679123610258e-03 - - 4.3425890803337097e-01 5.2128481864929199e-01 - <_> - - 0 -1 1903 1.9011989934369922e-03 - - 4.7651869058609009e-01 6.8920552730560303e-01 - <_> - - 0 -1 1904 2.7576119173318148e-03 - - 5.2621912956237793e-01 4.3374860286712646e-01 - <_> - - 0 -1 1905 5.1787449046969414e-03 - - 4.8040691018104553e-01 7.8437292575836182e-01 - <_> - - 0 -1 1906 -9.0273341629654169e-04 - - 4.1208469867706299e-01 5.3534239530563354e-01 - <_> - - 0 -1 1907 5.1797959022223949e-03 - - 4.7403728961944580e-01 6.4259600639343262e-01 - <_> - - 0 -1 1908 -1.0114000178873539e-02 - - 2.4687920510768890e-01 5.1750177145004272e-01 - <_> - - 0 -1 1909 -1.8617060035467148e-02 - - 5.7562941312789917e-01 4.6289789676666260e-01 - <_> - - 0 -1 1910 5.9225959703326225e-03 - - 5.1696258783340454e-01 3.2142710685729980e-01 - <_> - - 0 -1 1911 -6.2945079989731312e-03 - - 3.8720148801803589e-01 5.1416367292404175e-01 - <_> - - 0 -1 1912 6.5353019163012505e-03 - - 4.8530489206314087e-01 6.3104897737503052e-01 - <_> - - 0 -1 1913 1.0878399480134249e-03 - - 5.1173150539398193e-01 3.7232589721679688e-01 - <_> - - 0 -1 1914 -2.2542240098118782e-02 - - 5.6927400827407837e-01 4.8871129751205444e-01 - <_> - - 0 -1 1915 -3.0065660830587149e-03 - - 2.5560128688812256e-01 5.0039929151535034e-01 - <_> - - 0 -1 1916 7.4741272255778313e-03 - - 4.8108729720115662e-01 5.6759268045425415e-01 - <_> - - 0 -1 1917 2.6162320747971535e-02 - - 4.9711948633193970e-01 1.7772370576858521e-01 - <_> - - 0 -1 1918 9.4352738233283162e-04 - - 4.9400109052658081e-01 5.4912507534027100e-01 - <_> - - 0 -1 1919 3.3363241702318192e-02 - - 5.0076121091842651e-01 2.7907240390777588e-01 - <_> - - 0 -1 1920 -1.5118650160729885e-02 - - 7.0595788955688477e-01 4.9730318784713745e-01 - <_> - - 0 -1 1921 9.8648946732282639e-04 - - 5.1286202669143677e-01 3.7767618894577026e-01 - <_> - 213 - 1.0576110076904297e+02 - - <_> - - 0 -1 1922 -9.5150798559188843e-02 - - 6.4707571268081665e-01 4.0172868967056274e-01 - <_> - - 0 -1 1923 6.2702340073883533e-03 - - 3.9998221397399902e-01 5.7464492321014404e-01 - <_> - - 0 -1 1924 3.0018089455552399e-04 - - 3.5587701201438904e-01 5.5388098955154419e-01 - <_> - - 0 -1 1925 1.1757409665733576e-03 - - 4.2565348744392395e-01 5.3826177120208740e-01 - <_> - - 0 -1 1926 4.4235268433112651e-05 - - 3.6829081177711487e-01 5.5899268388748169e-01 - <_> - - 0 -1 1927 -2.9936920327600092e-05 - - 5.4524701833724976e-01 4.0203678607940674e-01 - <_> - - 0 -1 1928 3.0073199886828661e-03 - - 5.2390581369400024e-01 3.3178439736366272e-01 - <_> - - 0 -1 1929 -1.0513889603316784e-02 - - 4.3206891417503357e-01 5.3079837560653687e-01 - <_> - - 0 -1 1930 8.3476826548576355e-03 - - 4.5046371221542358e-01 6.4532989263534546e-01 - <_> - - 0 -1 1931 -3.1492270063608885e-03 - - 4.3134251236915588e-01 5.3705251216888428e-01 - <_> - - 0 -1 1932 -1.4435649973165710e-05 - - 5.3266030550003052e-01 3.8179719448089600e-01 - <_> - - 0 -1 1933 -4.2855090578086674e-04 - - 4.3051639199256897e-01 5.3820097446441650e-01 - <_> - - 0 -1 1934 1.5062429883982986e-04 - - 4.2359709739685059e-01 5.5449652671813965e-01 - <_> - - 0 -1 1935 7.1559831500053406e-02 - - 5.3030598163604736e-01 2.6788029074668884e-01 - <_> - - 0 -1 1936 8.4095180500298738e-04 - - 3.5571089386940002e-01 5.2054339647293091e-01 - <_> - - 0 -1 1937 6.2986500561237335e-02 - - 5.2253627777099609e-01 2.8613761067390442e-01 - <_> - - 0 -1 1938 -3.3798629883676767e-03 - - 3.6241859197616577e-01 5.2016979455947876e-01 - <_> - - 0 -1 1939 -1.1810739670181647e-04 - - 5.4744768142700195e-01 3.9598938822746277e-01 - <_> - - 0 -1 1940 -5.4505601292476058e-04 - - 3.7404221296310425e-01 5.2157157659530640e-01 - <_> - - 0 -1 1941 -1.8454910023137927e-03 - - 5.8930522203445435e-01 4.5844489336013794e-01 - <_> - - 0 -1 1942 -4.3832371011376381e-04 - - 4.0845820307731628e-01 5.3853511810302734e-01 - <_> - - 0 -1 1943 -2.4000830017030239e-03 - - 3.7774550914764404e-01 5.2935802936553955e-01 - <_> - - 0 -1 1944 -9.8795741796493530e-02 - - 2.9636120796203613e-01 5.0700891017913818e-01 - <_> - - 0 -1 1945 3.1798239797353745e-03 - - 4.8776328563690186e-01 6.7264437675476074e-01 - <_> - - 0 -1 1946 3.2406419632025063e-04 - - 4.3669110536575317e-01 5.5611097812652588e-01 - <_> - - 0 -1 1947 -3.2547250390052795e-02 - - 3.1281578540802002e-01 5.3086161613464355e-01 - <_> - - 0 -1 1948 -7.7561130747199059e-03 - - 6.5602248907089233e-01 4.6398720145225525e-01 - <_> - - 0 -1 1949 1.6027249395847321e-02 - - 5.1726800203323364e-01 3.1418979167938232e-01 - <_> - - 0 -1 1950 7.1002350523485802e-06 - - 4.0844461321830750e-01 5.3362947702407837e-01 - <_> - - 0 -1 1951 7.3422808200120926e-03 - - 4.9669221043586731e-01 6.6034650802612305e-01 - <_> - - 0 -1 1952 -1.6970280557870865e-03 - - 5.9082370996475220e-01 4.5001828670501709e-01 - <_> - - 0 -1 1953 2.4118260480463505e-03 - - 5.3151607513427734e-01 3.5997208952903748e-01 - <_> - - 0 -1 1954 -5.5300937965512276e-03 - - 2.3340409994125366e-01 4.9968141317367554e-01 - <_> - - 0 -1 1955 -2.6478730142116547e-03 - - 5.8809357881546021e-01 4.6847340464591980e-01 - <_> - - 0 -1 1956 1.1295629665255547e-02 - - 4.9837771058082581e-01 1.8845909833908081e-01 - <_> - - 0 -1 1957 -6.6952878842130303e-04 - - 5.8721381425857544e-01 4.7990199923515320e-01 - <_> - - 0 -1 1958 1.4410680159926414e-03 - - 5.1311892271041870e-01 3.5010111331939697e-01 - <_> - - 0 -1 1959 2.4637870956212282e-03 - - 5.3393721580505371e-01 4.1176390647888184e-01 - <_> - - 0 -1 1960 3.3114518737420440e-04 - - 4.3133831024169922e-01 5.3982460498809814e-01 - <_> - - 0 -1 1961 -3.3557269722223282e-02 - - 2.6753368973731995e-01 5.1791548728942871e-01 - <_> - - 0 -1 1962 1.8539419397711754e-02 - - 4.9738699197769165e-01 2.3171770572662354e-01 - <_> - - 0 -1 1963 -2.9698139405809343e-04 - - 5.5297082662582397e-01 4.6436640620231628e-01 - <_> - - 0 -1 1964 -4.5577259152196348e-04 - - 5.6295841932296753e-01 4.4691911339759827e-01 - <_> - - 0 -1 1965 -1.0158980265259743e-02 - - 6.7062127590179443e-01 4.9259188771247864e-01 - <_> - - 0 -1 1966 -2.2413829356082715e-05 - - 5.2394217252731323e-01 3.9129018783569336e-01 - <_> - - 0 -1 1967 7.2034963523037732e-05 - - 4.7994381189346313e-01 5.5017888545989990e-01 - <_> - - 0 -1 1968 -6.9267209619283676e-03 - - 6.9300097227096558e-01 4.6980848908424377e-01 - <_> - - 0 -1 1969 -7.6997838914394379e-03 - - 4.0996238589286804e-01 5.4808831214904785e-01 - <_> - - 0 -1 1970 -7.3130549862980843e-03 - - 3.2834759354591370e-01 5.0578862428665161e-01 - <_> - - 0 -1 1971 1.9650589674711227e-03 - - 4.9780470132827759e-01 6.3982498645782471e-01 - <_> - - 0 -1 1972 7.1647600270807743e-03 - - 4.6611601114273071e-01 6.2221372127532959e-01 - <_> - - 0 -1 1973 -2.4078639224171638e-02 - - 2.3346449434757233e-01 5.2221620082855225e-01 - <_> - - 0 -1 1974 -2.1027969196438789e-02 - - 1.1836539953947067e-01 4.9382260441780090e-01 - <_> - - 0 -1 1975 3.6017020465806127e-04 - - 5.3250199556350708e-01 4.1167110204696655e-01 - <_> - - 0 -1 1976 -1.7219729721546173e-02 - - 6.2787622213363647e-01 4.6642690896987915e-01 - <_> - - 0 -1 1977 -7.8672142699360847e-03 - - 3.4034150838851929e-01 5.2497369050979614e-01 - <_> - - 0 -1 1978 -4.4777389848604798e-04 - - 3.6104118824005127e-01 5.0862592458724976e-01 - <_> - - 0 -1 1979 5.5486010387539864e-03 - - 4.8842659592628479e-01 6.2034982442855835e-01 - <_> - - 0 -1 1980 -6.9461148232221603e-03 - - 2.6259300112724304e-01 5.0110971927642822e-01 - <_> - - 0 -1 1981 1.3569870498031378e-04 - - 4.3407949805259705e-01 5.6283122301101685e-01 - <_> - - 0 -1 1982 -4.5880250632762909e-02 - - 6.5079987049102783e-01 4.6962749958038330e-01 - <_> - - 0 -1 1983 -2.1582560613751411e-02 - - 3.8265028595924377e-01 5.2876168489456177e-01 - <_> - - 0 -1 1984 -2.0209539681673050e-02 - - 3.2333680987358093e-01 5.0744771957397461e-01 - <_> - - 0 -1 1985 5.8496710844337940e-03 - - 5.1776039600372314e-01 4.4896709918975830e-01 - <_> - - 0 -1 1986 -5.7476379879517481e-05 - - 4.0208509564399719e-01 5.2463638782501221e-01 - <_> - - 0 -1 1987 -1.1513100471347570e-03 - - 6.3150721788406372e-01 4.9051541090011597e-01 - <_> - - 0 -1 1988 1.9862831104546785e-03 - - 4.7024598717689514e-01 6.4971512556076050e-01 - <_> - - 0 -1 1989 -5.2719512023031712e-03 - - 3.6503839492797852e-01 5.2276527881622314e-01 - <_> - - 0 -1 1990 1.2662699446082115e-03 - - 5.1661008596420288e-01 3.8776180148124695e-01 - <_> - - 0 -1 1991 -6.2919440679252148e-03 - - 7.3758941888809204e-01 5.0238478183746338e-01 - <_> - - 0 -1 1992 6.7360111279413104e-04 - - 4.4232261180877686e-01 5.4955857992172241e-01 - <_> - - 0 -1 1993 -1.0523450328037143e-03 - - 5.9763962030410767e-01 4.8595830798149109e-01 - <_> - - 0 -1 1994 -4.4216238893568516e-04 - - 5.9559392929077148e-01 4.3989309668540955e-01 - <_> - - 0 -1 1995 1.1747940443456173e-03 - - 5.3498882055282593e-01 4.6050581336021423e-01 - <_> - - 0 -1 1996 5.2457437850534916e-03 - - 5.0491911172866821e-01 2.9415771365165710e-01 - <_> - - 0 -1 1997 -2.4539720267057419e-02 - - 2.5501778721809387e-01 5.2185869216918945e-01 - <_> - - 0 -1 1998 7.3793041519820690e-04 - - 4.4248610734939575e-01 5.4908162355422974e-01 - <_> - - 0 -1 1999 1.4233799884095788e-03 - - 5.3195142745971680e-01 4.0813559293746948e-01 - <_> - - 0 -1 2000 -2.4149110540747643e-03 - - 4.0876591205596924e-01 5.2389502525329590e-01 - <_> - - 0 -1 2001 -1.2165299849584699e-03 - - 5.6745791435241699e-01 4.9080529808998108e-01 - <_> - - 0 -1 2002 -1.2438809499144554e-03 - - 4.1294258832931519e-01 5.2561181783676147e-01 - <_> - - 0 -1 2003 6.1942739412188530e-03 - - 5.0601941347122192e-01 7.3136532306671143e-01 - <_> - - 0 -1 2004 -1.6607169527560472e-03 - - 5.9796321392059326e-01 4.5963698625564575e-01 - <_> - - 0 -1 2005 -2.7316259220242500e-02 - - 4.1743651032447815e-01 5.3088420629501343e-01 - <_> - - 0 -1 2006 -1.5845570014789701e-03 - - 5.6158047914505005e-01 4.5194861292839050e-01 - <_> - - 0 -1 2007 -1.5514739789068699e-03 - - 4.0761870145797729e-01 5.3607851266860962e-01 - <_> - - 0 -1 2008 3.8446558755822480e-04 - - 4.3472939729690552e-01 5.4304420948028564e-01 - <_> - - 0 -1 2009 -1.4672259800136089e-02 - - 1.6593049466609955e-01 5.1460939645767212e-01 - <_> - - 0 -1 2010 8.1608882173895836e-03 - - 4.9618190526962280e-01 1.8847459554672241e-01 - <_> - - 0 -1 2011 1.1121659772470593e-03 - - 4.8682639002799988e-01 6.0938161611557007e-01 - <_> - - 0 -1 2012 -7.2603770531713963e-03 - - 6.2843251228332520e-01 4.6903759241104126e-01 - <_> - - 0 -1 2013 -2.4046430189628154e-04 - - 5.5750000476837158e-01 4.0460440516471863e-01 - <_> - - 0 -1 2014 -2.3348190006799996e-04 - - 4.1157621145248413e-01 5.2528482675552368e-01 - <_> - - 0 -1 2015 5.5736480280756950e-03 - - 4.7300729155540466e-01 5.6901007890701294e-01 - <_> - - 0 -1 2016 3.0623769387602806e-02 - - 4.9718868732452393e-01 1.7400950193405151e-01 - <_> - - 0 -1 2017 9.2074798885732889e-04 - - 5.3721177577972412e-01 4.3548721075057983e-01 - <_> - - 0 -1 2018 -4.3550739064812660e-05 - - 5.3668838739395142e-01 4.3473169207572937e-01 - <_> - - 0 -1 2019 -6.6452710889279842e-03 - - 3.4355181455612183e-01 5.1605331897735596e-01 - <_> - - 0 -1 2020 4.3221998959779739e-02 - - 4.7667920589447021e-01 7.2936528921127319e-01 - <_> - - 0 -1 2021 2.2331769578158855e-03 - - 5.0293159484863281e-01 5.6331712007522583e-01 - <_> - - 0 -1 2022 3.1829739455133677e-03 - - 4.0160921216011047e-01 5.1921367645263672e-01 - <_> - - 0 -1 2023 -1.8027749320026487e-04 - - 4.0883159637451172e-01 5.4179197549819946e-01 - <_> - - 0 -1 2024 -5.2934689447283745e-03 - - 4.0756770968437195e-01 5.2435618638992310e-01 - <_> - - 0 -1 2025 1.2750959722325206e-03 - - 4.9132829904556274e-01 6.3870108127593994e-01 - <_> - - 0 -1 2026 4.3385322205722332e-03 - - 5.0316721200942993e-01 2.9473468661308289e-01 - <_> - - 0 -1 2027 8.5250744596123695e-03 - - 4.9497890472412109e-01 6.3088691234588623e-01 - <_> - - 0 -1 2028 -9.4266352243721485e-04 - - 5.3283667564392090e-01 4.2856499552726746e-01 - <_> - - 0 -1 2029 1.3609660090878606e-03 - - 4.9915251135826111e-01 5.9415012598037720e-01 - <_> - - 0 -1 2030 4.4782509212382138e-04 - - 4.5735040307044983e-01 5.8544808626174927e-01 - <_> - - 0 -1 2031 1.3360050506889820e-03 - - 4.6043589711189270e-01 5.8490520715713501e-01 - <_> - - 0 -1 2032 -6.0967548051849008e-04 - - 3.9693889021873474e-01 5.2294230461120605e-01 - <_> - - 0 -1 2033 -2.3656780831515789e-03 - - 5.8083200454711914e-01 4.8983570933341980e-01 - <_> - - 0 -1 2034 1.0734340175986290e-03 - - 4.3512108922004700e-01 5.4700392484664917e-01 - <_> - - 0 -1 2035 2.1923359017819166e-03 - - 5.3550601005554199e-01 3.8429039716720581e-01 - <_> - - 0 -1 2036 5.4968618787825108e-03 - - 5.0181388854980469e-01 2.8271919488906860e-01 - <_> - - 0 -1 2037 -7.5368821620941162e-02 - - 1.2250760197639465e-01 5.1488268375396729e-01 - <_> - - 0 -1 2038 2.5134470313787460e-02 - - 4.7317668795585632e-01 7.0254462957382202e-01 - <_> - - 0 -1 2039 -2.9358599931583740e-05 - - 5.4305320978164673e-01 4.6560868620872498e-01 - <_> - - 0 -1 2040 -5.8355910005047917e-04 - - 4.0310400724411011e-01 5.1901197433471680e-01 - <_> - - 0 -1 2041 -2.6639450807124376e-03 - - 4.3081268668174744e-01 5.1617711782455444e-01 - <_> - - 0 -1 2042 -1.3804089976474643e-03 - - 6.2198299169540405e-01 4.6955159306526184e-01 - <_> - - 0 -1 2043 1.2313219485804439e-03 - - 5.3793638944625854e-01 4.4258311390876770e-01 - <_> - - 0 -1 2044 -1.4644179827882908e-05 - - 5.2816402912139893e-01 4.2225030064582825e-01 - <_> - - 0 -1 2045 -1.2818809598684311e-02 - - 2.5820928812026978e-01 5.1799327135086060e-01 - <_> - - 0 -1 2046 2.2852189838886261e-02 - - 4.7786930203437805e-01 7.6092642545700073e-01 - <_> - - 0 -1 2047 8.2305970136076212e-04 - - 5.3409922122955322e-01 4.6717241406440735e-01 - <_> - - 0 -1 2048 1.2770120054483414e-02 - - 4.9657610058784485e-01 1.4723660051822662e-01 - <_> - - 0 -1 2049 -5.0051510334014893e-02 - - 6.4149940013885498e-01 5.0165921449661255e-01 - <_> - - 0 -1 2050 1.5775270760059357e-02 - - 4.5223200321197510e-01 5.6853622198104858e-01 - <_> - - 0 -1 2051 -1.8501620739698410e-02 - - 2.7647489309310913e-01 5.1379591226577759e-01 - <_> - - 0 -1 2052 2.4626250378787518e-03 - - 5.1419419050216675e-01 3.7954080104827881e-01 - <_> - - 0 -1 2053 6.2916167080402374e-02 - - 5.0606489181518555e-01 6.5804338455200195e-01 - <_> - - 0 -1 2054 -2.1648500478477217e-05 - - 5.1953881978988647e-01 4.0198868513107300e-01 - <_> - - 0 -1 2055 2.1180990152060986e-03 - - 4.9623650312423706e-01 5.9544587135314941e-01 - <_> - - 0 -1 2056 -1.6634890809655190e-02 - - 3.7579330801963806e-01 5.1754468679428101e-01 - <_> - - 0 -1 2057 -2.8899470344185829e-03 - - 6.6240137815475464e-01 5.0571787357330322e-01 - <_> - - 0 -1 2058 7.6783262193202972e-02 - - 4.7957968711853027e-01 8.0477148294448853e-01 - <_> - - 0 -1 2059 3.9170677773654461e-03 - - 4.9378821253776550e-01 5.7199418544769287e-01 - <_> - - 0 -1 2060 -7.2670601308345795e-02 - - 5.3894560784101486e-02 4.9439039826393127e-01 - <_> - - 0 -1 2061 5.4039502143859863e-01 - - 5.1297742128372192e-01 1.1433389782905579e-01 - <_> - - 0 -1 2062 2.9510019812732935e-03 - - 4.5283439755439758e-01 5.6985741853713989e-01 - <_> - - 0 -1 2063 3.4508369863033295e-03 - - 5.3577268123626709e-01 4.2187309265136719e-01 - <_> - - 0 -1 2064 -4.2077939724549651e-04 - - 5.9161728620529175e-01 4.6379259228706360e-01 - <_> - - 0 -1 2065 3.3051050268113613e-03 - - 5.2733850479125977e-01 4.3820428848266602e-01 - <_> - - 0 -1 2066 4.7735060798004270e-04 - - 4.0465280413627625e-01 5.1818847656250000e-01 - <_> - - 0 -1 2067 -2.5928510352969170e-02 - - 7.4522358179092407e-01 5.0893861055374146e-01 - <_> - - 0 -1 2068 -2.9729790985584259e-03 - - 3.2954359054565430e-01 5.0587952136993408e-01 - <_> - - 0 -1 2069 5.8508329093456268e-03 - - 4.8571440577507019e-01 5.7930248975753784e-01 - <_> - - 0 -1 2070 -4.5967519283294678e-02 - - 4.3127310276031494e-01 5.3806531429290771e-01 - <_> - - 0 -1 2071 1.5585960447788239e-01 - - 5.1961702108383179e-01 1.6847139596939087e-01 - <_> - - 0 -1 2072 1.5164829790592194e-02 - - 4.7357571125030518e-01 6.7350268363952637e-01 - <_> - - 0 -1 2073 -1.0604249546304345e-03 - - 5.8229267597198486e-01 4.7757029533386230e-01 - <_> - - 0 -1 2074 6.6476291976869106e-03 - - 4.9991989135742188e-01 2.3195350170135498e-01 - <_> - - 0 -1 2075 -1.2231130152940750e-02 - - 4.7508931159973145e-01 5.2629822492599487e-01 - <_> - - 0 -1 2076 5.6528882123529911e-03 - - 5.0697678327560425e-01 3.5618188977241516e-01 - <_> - - 0 -1 2077 1.2977829901501536e-03 - - 4.8756939172744751e-01 5.6190627813339233e-01 - <_> - - 0 -1 2078 1.0781589895486832e-02 - - 4.7507700324058533e-01 6.7823082208633423e-01 - <_> - - 0 -1 2079 2.8654779307544231e-03 - - 5.3054618835449219e-01 4.2907360196113586e-01 - <_> - - 0 -1 2080 2.8663428965955973e-03 - - 4.5184791088104248e-01 5.5393511056900024e-01 - <_> - - 0 -1 2081 -5.1983320154249668e-03 - - 4.1491198539733887e-01 5.4341888427734375e-01 - <_> - - 0 -1 2082 5.3739990107715130e-03 - - 4.7178968787193298e-01 6.5076571702957153e-01 - <_> - - 0 -1 2083 -1.4641529880464077e-02 - - 2.1721640229225159e-01 5.1617771387100220e-01 - <_> - - 0 -1 2084 -1.5042580344015732e-05 - - 5.3373837471008301e-01 4.2988368868827820e-01 - <_> - - 0 -1 2085 -1.1875660129589960e-04 - - 4.6045941114425659e-01 5.5824470520019531e-01 - <_> - - 0 -1 2086 1.6995530575513840e-02 - - 4.9458950757980347e-01 7.3880076408386230e-02 - <_> - - 0 -1 2087 -3.5095941275358200e-02 - - 7.0055091381072998e-01 4.9775910377502441e-01 - <_> - - 0 -1 2088 2.4217350874096155e-03 - - 4.4662651419639587e-01 5.4776942729949951e-01 - <_> - - 0 -1 2089 -9.6340337768197060e-04 - - 4.7140988707542419e-01 5.3133380413055420e-01 - <_> - - 0 -1 2090 1.6391130338888615e-04 - - 4.3315461277961731e-01 5.3422421216964722e-01 - <_> - - 0 -1 2091 -2.1141460165381432e-02 - - 2.6447001099586487e-01 5.2044987678527832e-01 - <_> - - 0 -1 2092 8.7775202700868249e-04 - - 5.2083498239517212e-01 4.1527429223060608e-01 - <_> - - 0 -1 2093 -2.7943920344114304e-02 - - 6.3441252708435059e-01 5.0188118219375610e-01 - <_> - - 0 -1 2094 6.7297378554940224e-03 - - 5.0504380464553833e-01 3.5008639097213745e-01 - <_> - - 0 -1 2095 2.3281039670109749e-02 - - 4.9663180112838745e-01 6.9686770439147949e-01 - <_> - - 0 -1 2096 -1.1644979938864708e-02 - - 3.3002600073814392e-01 5.0496298074722290e-01 - <_> - - 0 -1 2097 1.5764309093356133e-02 - - 4.9915981292724609e-01 7.3211538791656494e-01 - <_> - - 0 -1 2098 -1.3611479662358761e-03 - - 3.9117351174354553e-01 5.1606708765029907e-01 - <_> - - 0 -1 2099 -8.1522337859496474e-04 - - 5.6289112567901611e-01 4.9497190117835999e-01 - <_> - - 0 -1 2100 -6.0066272271797061e-04 - - 5.8535951375961304e-01 4.5505958795547485e-01 - <_> - - 0 -1 2101 4.9715518252924085e-04 - - 4.2714700102806091e-01 5.4435992240905762e-01 - <_> - - 0 -1 2102 2.3475370835512877e-03 - - 5.1431107521057129e-01 3.8876569271087646e-01 - <_> - - 0 -1 2103 -8.9261569082736969e-03 - - 6.0445022583007812e-01 4.9717208743095398e-01 - <_> - - 0 -1 2104 -1.3919910416007042e-02 - - 2.5831609964370728e-01 5.0003677606582642e-01 - <_> - - 0 -1 2105 1.0209949687123299e-03 - - 4.8573741316795349e-01 5.5603581666946411e-01 - <_> - - 0 -1 2106 -2.7441629208624363e-03 - - 5.9368848800659180e-01 4.6457770466804504e-01 - <_> - - 0 -1 2107 -1.6200130805373192e-02 - - 3.1630149483680725e-01 5.1934951543807983e-01 - <_> - - 0 -1 2108 4.3331980705261230e-03 - - 5.0612241029739380e-01 3.4588789939880371e-01 - <_> - - 0 -1 2109 5.8497930876910686e-04 - - 4.7790178656578064e-01 5.8701777458190918e-01 - <_> - - 0 -1 2110 -2.2466450463980436e-03 - - 4.2978510260581970e-01 5.3747731447219849e-01 - <_> - - 0 -1 2111 2.3146099410951138e-03 - - 5.4386717081069946e-01 4.6409699320793152e-01 - <_> - - 0 -1 2112 8.7679121643304825e-03 - - 4.7268930077552795e-01 6.7717897891998291e-01 - <_> - - 0 -1 2113 -2.2448020172305405e-04 - - 4.2291730642318726e-01 5.4280489683151245e-01 - <_> - - 0 -1 2114 -7.4336021207273006e-03 - - 6.0988807678222656e-01 4.6836739778518677e-01 - <_> - - 0 -1 2115 -2.3189240600913763e-03 - - 5.6894367933273315e-01 4.4242420792579651e-01 - <_> - - 0 -1 2116 -2.1042178850620985e-03 - - 3.7622210383415222e-01 5.1870870590209961e-01 - <_> - - 0 -1 2117 4.6034841216169298e-04 - - 4.6994051337242126e-01 5.7712072134017944e-01 - <_> - - 0 -1 2118 1.0547629790380597e-03 - - 4.4652169942855835e-01 5.6017017364501953e-01 - <_> - - 0 -1 2119 8.7148818420246243e-04 - - 5.4498052597045898e-01 3.9147090911865234e-01 - <_> - - 0 -1 2120 3.3364820410497487e-04 - - 4.5640090107917786e-01 5.6457388401031494e-01 - <_> - - 0 -1 2121 -1.4853250468149781e-03 - - 5.7473778724670410e-01 4.6927788853645325e-01 - <_> - - 0 -1 2122 3.0251620337367058e-03 - - 5.1661968231201172e-01 3.7628141045570374e-01 - <_> - - 0 -1 2123 5.0280741415917873e-03 - - 5.0021117925643921e-01 6.1515271663665771e-01 - <_> - - 0 -1 2124 -5.8164511574432254e-04 - - 5.3945982456207275e-01 4.3907511234283447e-01 - <_> - - 0 -1 2125 4.5141529291868210e-02 - - 5.1883268356323242e-01 2.0630359649658203e-01 - <_> - - 0 -1 2126 -1.0795620037242770e-03 - - 3.9046850800514221e-01 5.1379072666168213e-01 - <_> - - 0 -1 2127 1.5995999274309725e-04 - - 4.8953229188919067e-01 5.4275041818618774e-01 - <_> - - 0 -1 2128 -1.9359270110726357e-02 - - 6.9752287864685059e-01 4.7735071182250977e-01 - <_> - - 0 -1 2129 2.0725509524345398e-01 - - 5.2336359024047852e-01 3.0349919199943542e-01 - <_> - - 0 -1 2130 -4.1953290929086506e-04 - - 5.4193967580795288e-01 4.4601860642433167e-01 - <_> - - 0 -1 2131 2.2582069505006075e-03 - - 4.8157641291618347e-01 6.0274088382720947e-01 - <_> - - 0 -1 2132 -6.7811207845807076e-03 - - 3.9802789688110352e-01 5.1833057403564453e-01 - <_> - - 0 -1 2133 1.1154309846460819e-02 - - 5.4312318563461304e-01 4.1887599229812622e-01 - <_> - - 0 -1 2134 4.3162431567907333e-02 - - 4.7382280230522156e-01 6.5229612588882446e-01 - - <_> - - <_> - 3 7 14 4 -1. - <_> - 3 9 14 2 2. - <_> - - <_> - 1 2 18 4 -1. - <_> - 7 2 6 4 3. - <_> - - <_> - 1 7 15 9 -1. - <_> - 1 10 15 3 3. - <_> - - <_> - 5 6 2 6 -1. - <_> - 5 9 2 3 2. - <_> - - <_> - 7 5 6 3 -1. - <_> - 9 5 2 3 3. - <_> - - <_> - 4 0 12 9 -1. - <_> - 4 3 12 3 3. - <_> - - <_> - 6 9 10 8 -1. - <_> - 6 13 10 4 2. - <_> - - <_> - 3 6 14 8 -1. - <_> - 3 10 14 4 2. - <_> - - <_> - 14 1 6 10 -1. - <_> - 14 1 3 10 2. - <_> - - <_> - 7 8 5 12 -1. - <_> - 7 12 5 4 3. - <_> - - <_> - 1 1 18 3 -1. - <_> - 7 1 6 3 3. - <_> - - <_> - 1 8 17 2 -1. - <_> - 1 9 17 1 2. - <_> - - <_> - 16 6 4 2 -1. - <_> - 16 7 4 1 2. - <_> - - <_> - 5 17 2 2 -1. - <_> - 5 18 2 1 2. - <_> - - <_> - 14 2 6 12 -1. - <_> - 14 2 3 12 2. - <_> - - <_> - 4 0 4 12 -1. - <_> - 4 0 2 6 2. - <_> - 6 6 2 6 2. - <_> - - <_> - 2 11 18 8 -1. - <_> - 8 11 6 8 3. - <_> - - <_> - 5 7 10 2 -1. - <_> - 5 8 10 1 2. - <_> - - <_> - 15 11 5 3 -1. - <_> - 15 12 5 1 3. - <_> - - <_> - 5 3 10 9 -1. - <_> - 5 6 10 3 3. - <_> - - <_> - 9 4 2 14 -1. - <_> - 9 11 2 7 2. - <_> - - <_> - 3 5 4 12 -1. - <_> - 3 9 4 4 3. - <_> - - <_> - 4 5 12 5 -1. - <_> - 8 5 4 5 3. - <_> - - <_> - 5 6 10 8 -1. - <_> - 5 10 10 4 2. - <_> - - <_> - 8 0 6 9 -1. - <_> - 8 3 6 3 3. - <_> - - <_> - 9 12 1 8 -1. - <_> - 9 16 1 4 2. - <_> - - <_> - 0 7 20 6 -1. - <_> - 0 9 20 2 3. - <_> - - <_> - 7 0 6 17 -1. - <_> - 9 0 2 17 3. - <_> - - <_> - 9 0 6 4 -1. - <_> - 11 0 2 4 3. - <_> - - <_> - 5 1 6 4 -1. - <_> - 7 1 2 4 3. - <_> - - <_> - 12 1 6 16 -1. - <_> - 14 1 2 16 3. - <_> - - <_> - 0 5 18 8 -1. - <_> - 0 5 9 4 2. - <_> - 9 9 9 4 2. - <_> - - <_> - 8 15 10 4 -1. - <_> - 13 15 5 2 2. - <_> - 8 17 5 2 2. - <_> - - <_> - 3 1 4 8 -1. - <_> - 3 1 2 4 2. - <_> - 5 5 2 4 2. - <_> - - <_> - 3 6 14 10 -1. - <_> - 10 6 7 5 2. - <_> - 3 11 7 5 2. - <_> - - <_> - 2 1 6 16 -1. - <_> - 4 1 2 16 3. - <_> - - <_> - 0 18 20 2 -1. - <_> - 0 19 20 1 2. - <_> - - <_> - 8 13 4 3 -1. - <_> - 8 14 4 1 3. - <_> - - <_> - 9 14 2 3 -1. - <_> - 9 15 2 1 3. - <_> - - <_> - 0 12 9 6 -1. - <_> - 0 14 9 2 3. - <_> - - <_> - 5 7 3 4 -1. - <_> - 5 9 3 2 2. - <_> - - <_> - 9 3 2 16 -1. - <_> - 9 11 2 8 2. - <_> - - <_> - 3 6 13 8 -1. - <_> - 3 10 13 4 2. - <_> - - <_> - 12 3 8 2 -1. - <_> - 12 3 4 2 2. - <_> - - <_> - 8 8 4 12 -1. - <_> - 8 12 4 4 3. - <_> - - <_> - 11 3 8 6 -1. - <_> - 15 3 4 3 2. - <_> - 11 6 4 3 2. - <_> - - <_> - 7 1 6 19 -1. - <_> - 9 1 2 19 3. - <_> - - <_> - 9 0 6 4 -1. - <_> - 11 0 2 4 3. - <_> - - <_> - 3 1 9 3 -1. - <_> - 6 1 3 3 3. - <_> - - <_> - 8 15 10 4 -1. - <_> - 13 15 5 2 2. - <_> - 8 17 5 2 2. - <_> - - <_> - 0 3 6 10 -1. - <_> - 3 3 3 10 2. - <_> - - <_> - 3 4 15 15 -1. - <_> - 3 9 15 5 3. - <_> - - <_> - 6 5 8 6 -1. - <_> - 6 7 8 2 3. - <_> - - <_> - 4 4 12 10 -1. - <_> - 10 4 6 5 2. - <_> - 4 9 6 5 2. - <_> - - <_> - 6 4 4 4 -1. - <_> - 8 4 2 4 2. - <_> - - <_> - 15 11 1 2 -1. - <_> - 15 12 1 1 2. - <_> - - <_> - 3 11 2 2 -1. - <_> - 3 12 2 1 2. - <_> - - <_> - 16 11 1 3 -1. - <_> - 16 12 1 1 3. - <_> - - <_> - 3 15 6 4 -1. - <_> - 3 15 3 2 2. - <_> - 6 17 3 2 2. - <_> - - <_> - 6 7 8 2 -1. - <_> - 6 8 8 1 2. - <_> - - <_> - 3 11 1 3 -1. - <_> - 3 12 1 1 3. - <_> - - <_> - 6 0 12 2 -1. - <_> - 6 1 12 1 2. - <_> - - <_> - 9 14 2 3 -1. - <_> - 9 15 2 1 3. - <_> - - <_> - 7 15 6 2 -1. - <_> - 7 16 6 1 2. - <_> - - <_> - 0 5 4 6 -1. - <_> - 0 7 4 2 3. - <_> - - <_> - 4 12 12 2 -1. - <_> - 8 12 4 2 3. - <_> - - <_> - 6 3 1 9 -1. - <_> - 6 6 1 3 3. - <_> - - <_> - 10 17 3 2 -1. - <_> - 11 17 1 2 3. - <_> - - <_> - 9 9 2 2 -1. - <_> - 9 10 2 1 2. - <_> - - <_> - 7 6 6 4 -1. - <_> - 9 6 2 4 3. - <_> - - <_> - 7 17 3 2 -1. - <_> - 8 17 1 2 3. - <_> - - <_> - 10 17 3 3 -1. - <_> - 11 17 1 3 3. - <_> - - <_> - 8 12 3 2 -1. - <_> - 8 13 3 1 2. - <_> - - <_> - 9 3 6 2 -1. - <_> - 11 3 2 2 3. - <_> - - <_> - 3 11 14 4 -1. - <_> - 3 13 14 2 2. - <_> - - <_> - 1 10 18 4 -1. - <_> - 10 10 9 2 2. - <_> - 1 12 9 2 2. - <_> - - <_> - 0 10 3 3 -1. - <_> - 0 11 3 1 3. - <_> - - <_> - 9 1 6 6 -1. - <_> - 11 1 2 6 3. - <_> - - <_> - 8 7 3 6 -1. - <_> - 9 7 1 6 3. - <_> - - <_> - 1 0 18 9 -1. - <_> - 1 3 18 3 3. - <_> - - <_> - 12 10 2 6 -1. - <_> - 12 13 2 3 2. - <_> - - <_> - 0 5 19 8 -1. - <_> - 0 9 19 4 2. - <_> - - <_> - 7 0 6 9 -1. - <_> - 9 0 2 9 3. - <_> - - <_> - 5 3 6 1 -1. - <_> - 7 3 2 1 3. - <_> - - <_> - 11 3 6 1 -1. - <_> - 13 3 2 1 3. - <_> - - <_> - 5 10 4 6 -1. - <_> - 5 13 4 3 2. - <_> - - <_> - 11 3 6 1 -1. - <_> - 13 3 2 1 3. - <_> - - <_> - 4 4 12 6 -1. - <_> - 4 6 12 2 3. - <_> - - <_> - 15 12 2 6 -1. - <_> - 15 14 2 2 3. - <_> - - <_> - 9 3 2 2 -1. - <_> - 10 3 1 2 2. - <_> - - <_> - 9 3 3 1 -1. - <_> - 10 3 1 1 3. - <_> - - <_> - 1 1 4 14 -1. - <_> - 3 1 2 14 2. - <_> - - <_> - 9 0 4 4 -1. - <_> - 11 0 2 2 2. - <_> - 9 2 2 2 2. - <_> - - <_> - 7 5 1 14 -1. - <_> - 7 12 1 7 2. - <_> - - <_> - 19 0 1 4 -1. - <_> - 19 2 1 2 2. - <_> - - <_> - 5 5 6 4 -1. - <_> - 8 5 3 4 2. - <_> - - <_> - 9 18 3 2 -1. - <_> - 10 18 1 2 3. - <_> - - <_> - 8 18 3 2 -1. - <_> - 9 18 1 2 3. - <_> - - <_> - 4 5 12 6 -1. - <_> - 4 7 12 2 3. - <_> - - <_> - 3 12 2 6 -1. - <_> - 3 14 2 2 3. - <_> - - <_> - 10 8 2 12 -1. - <_> - 10 12 2 4 3. - <_> - - <_> - 7 18 3 2 -1. - <_> - 8 18 1 2 3. - <_> - - <_> - 9 0 6 2 -1. - <_> - 11 0 2 2 3. - <_> - - <_> - 5 11 9 3 -1. - <_> - 5 12 9 1 3. - <_> - - <_> - 9 0 6 2 -1. - <_> - 11 0 2 2 3. - <_> - - <_> - 1 1 18 5 -1. - <_> - 7 1 6 5 3. - <_> - - <_> - 8 0 4 4 -1. - <_> - 10 0 2 2 2. - <_> - 8 2 2 2 2. - <_> - - <_> - 3 12 1 3 -1. - <_> - 3 13 1 1 3. - <_> - - <_> - 8 14 5 3 -1. - <_> - 8 15 5 1 3. - <_> - - <_> - 5 4 10 12 -1. - <_> - 5 4 5 6 2. - <_> - 10 10 5 6 2. - <_> - - <_> - 9 6 9 12 -1. - <_> - 9 10 9 4 3. - <_> - - <_> - 2 2 12 14 -1. - <_> - 2 2 6 7 2. - <_> - 8 9 6 7 2. - <_> - - <_> - 4 7 12 2 -1. - <_> - 8 7 4 2 3. - <_> - - <_> - 7 4 6 4 -1. - <_> - 7 6 6 2 2. - <_> - - <_> - 4 5 11 8 -1. - <_> - 4 9 11 4 2. - <_> - - <_> - 3 10 16 4 -1. - <_> - 3 12 16 2 2. - <_> - - <_> - 0 0 16 2 -1. - <_> - 0 1 16 1 2. - <_> - - <_> - 7 5 6 2 -1. - <_> - 9 5 2 2 3. - <_> - - <_> - 3 2 6 10 -1. - <_> - 3 2 3 5 2. - <_> - 6 7 3 5 2. - <_> - - <_> - 10 5 8 15 -1. - <_> - 10 10 8 5 3. - <_> - - <_> - 3 14 8 6 -1. - <_> - 3 14 4 3 2. - <_> - 7 17 4 3 2. - <_> - - <_> - 14 2 2 2 -1. - <_> - 14 3 2 1 2. - <_> - - <_> - 1 10 7 6 -1. - <_> - 1 13 7 3 2. - <_> - - <_> - 15 4 4 3 -1. - <_> - 15 4 2 3 2. - <_> - - <_> - 2 9 14 6 -1. - <_> - 2 9 7 3 2. - <_> - 9 12 7 3 2. - <_> - - <_> - 5 7 10 4 -1. - <_> - 5 9 10 2 2. - <_> - - <_> - 6 9 8 8 -1. - <_> - 6 9 4 4 2. - <_> - 10 13 4 4 2. - <_> - - <_> - 14 1 3 2 -1. - <_> - 14 2 3 1 2. - <_> - - <_> - 1 4 4 2 -1. - <_> - 3 4 2 2 2. - <_> - - <_> - 11 10 2 8 -1. - <_> - 11 14 2 4 2. - <_> - - <_> - 0 0 5 3 -1. - <_> - 0 1 5 1 3. - <_> - - <_> - 2 5 18 8 -1. - <_> - 11 5 9 4 2. - <_> - 2 9 9 4 2. - <_> - - <_> - 6 6 1 6 -1. - <_> - 6 9 1 3 2. - <_> - - <_> - 19 1 1 3 -1. - <_> - 19 2 1 1 3. - <_> - - <_> - 7 6 6 6 -1. - <_> - 9 6 2 6 3. - <_> - - <_> - 19 1 1 3 -1. - <_> - 19 2 1 1 3. - <_> - - <_> - 3 13 2 3 -1. - <_> - 3 14 2 1 3. - <_> - - <_> - 8 4 8 12 -1. - <_> - 12 4 4 6 2. - <_> - 8 10 4 6 2. - <_> - - <_> - 5 2 6 3 -1. - <_> - 7 2 2 3 3. - <_> - - <_> - 6 1 9 10 -1. - <_> - 6 6 9 5 2. - <_> - - <_> - 0 4 6 12 -1. - <_> - 2 4 2 12 3. - <_> - - <_> - 15 13 2 3 -1. - <_> - 15 14 2 1 3. - <_> - - <_> - 7 14 5 3 -1. - <_> - 7 15 5 1 3. - <_> - - <_> - 15 13 3 3 -1. - <_> - 15 14 3 1 3. - <_> - - <_> - 6 14 8 3 -1. - <_> - 6 15 8 1 3. - <_> - - <_> - 15 13 3 3 -1. - <_> - 15 14 3 1 3. - <_> - - <_> - 2 13 3 3 -1. - <_> - 2 14 3 1 3. - <_> - - <_> - 4 7 12 12 -1. - <_> - 10 7 6 6 2. - <_> - 4 13 6 6 2. - <_> - - <_> - 9 7 2 6 -1. - <_> - 10 7 1 6 2. - <_> - - <_> - 8 9 5 2 -1. - <_> - 8 10 5 1 2. - <_> - - <_> - 8 6 3 4 -1. - <_> - 9 6 1 4 3. - <_> - - <_> - 9 6 2 8 -1. - <_> - 9 10 2 4 2. - <_> - - <_> - 7 7 3 6 -1. - <_> - 8 7 1 6 3. - <_> - - <_> - 11 3 3 3 -1. - <_> - 12 3 1 3 3. - <_> - - <_> - 5 4 6 1 -1. - <_> - 7 4 2 1 3. - <_> - - <_> - 5 6 10 3 -1. - <_> - 5 7 10 1 3. - <_> - - <_> - 7 3 6 9 -1. - <_> - 7 6 6 3 3. - <_> - - <_> - 6 7 9 1 -1. - <_> - 9 7 3 1 3. - <_> - - <_> - 2 8 16 8 -1. - <_> - 2 12 16 4 2. - <_> - - <_> - 14 6 2 6 -1. - <_> - 14 9 2 3 2. - <_> - - <_> - 1 5 6 15 -1. - <_> - 1 10 6 5 3. - <_> - - <_> - 10 0 6 9 -1. - <_> - 10 3 6 3 3. - <_> - - <_> - 6 6 7 14 -1. - <_> - 6 13 7 7 2. - <_> - - <_> - 13 7 3 6 -1. - <_> - 13 9 3 2 3. - <_> - - <_> - 1 8 15 4 -1. - <_> - 6 8 5 4 3. - <_> - - <_> - 11 2 3 10 -1. - <_> - 11 7 3 5 2. - <_> - - <_> - 3 7 4 6 -1. - <_> - 3 9 4 2 3. - <_> - - <_> - 13 3 6 10 -1. - <_> - 15 3 2 10 3. - <_> - - <_> - 5 7 8 10 -1. - <_> - 5 7 4 5 2. - <_> - 9 12 4 5 2. - <_> - - <_> - 4 4 12 12 -1. - <_> - 10 4 6 6 2. - <_> - 4 10 6 6 2. - <_> - - <_> - 1 4 6 9 -1. - <_> - 3 4 2 9 3. - <_> - - <_> - 11 3 2 5 -1. - <_> - 11 3 1 5 2. - <_> - - <_> - 7 3 2 5 -1. - <_> - 8 3 1 5 2. - <_> - - <_> - 10 14 2 3 -1. - <_> - 10 15 2 1 3. - <_> - - <_> - 5 12 6 2 -1. - <_> - 8 12 3 2 2. - <_> - - <_> - 9 14 2 3 -1. - <_> - 9 15 2 1 3. - <_> - - <_> - 4 11 12 6 -1. - <_> - 4 14 12 3 2. - <_> - - <_> - 11 11 5 9 -1. - <_> - 11 14 5 3 3. - <_> - - <_> - 6 15 3 2 -1. - <_> - 6 16 3 1 2. - <_> - - <_> - 11 0 3 5 -1. - <_> - 12 0 1 5 3. - <_> - - <_> - 5 5 6 7 -1. - <_> - 8 5 3 7 2. - <_> - - <_> - 13 0 1 9 -1. - <_> - 13 3 1 3 3. - <_> - - <_> - 3 2 4 8 -1. - <_> - 3 2 2 4 2. - <_> - 5 6 2 4 2. - <_> - - <_> - 13 12 4 6 -1. - <_> - 13 14 4 2 3. - <_> - - <_> - 3 12 4 6 -1. - <_> - 3 14 4 2 3. - <_> - - <_> - 13 11 3 4 -1. - <_> - 13 13 3 2 2. - <_> - - <_> - 4 4 4 3 -1. - <_> - 4 5 4 1 3. - <_> - - <_> - 7 5 11 8 -1. - <_> - 7 9 11 4 2. - <_> - - <_> - 7 8 3 4 -1. - <_> - 8 8 1 4 3. - <_> - - <_> - 9 1 6 1 -1. - <_> - 11 1 2 1 3. - <_> - - <_> - 5 5 3 3 -1. - <_> - 5 6 3 1 3. - <_> - - <_> - 0 9 20 6 -1. - <_> - 10 9 10 3 2. - <_> - 0 12 10 3 2. - <_> - - <_> - 8 6 3 5 -1. - <_> - 9 6 1 5 3. - <_> - - <_> - 11 0 1 3 -1. - <_> - 11 1 1 1 3. - <_> - - <_> - 4 2 4 2 -1. - <_> - 4 3 4 1 2. - <_> - - <_> - 12 6 4 3 -1. - <_> - 12 7 4 1 3. - <_> - - <_> - 5 0 6 4 -1. - <_> - 7 0 2 4 3. - <_> - - <_> - 9 7 3 8 -1. - <_> - 10 7 1 8 3. - <_> - - <_> - 9 7 2 2 -1. - <_> - 10 7 1 2 2. - <_> - - <_> - 6 7 14 4 -1. - <_> - 13 7 7 2 2. - <_> - 6 9 7 2 2. - <_> - - <_> - 0 5 3 6 -1. - <_> - 0 7 3 2 3. - <_> - - <_> - 13 11 3 4 -1. - <_> - 13 13 3 2 2. - <_> - - <_> - 4 11 3 4 -1. - <_> - 4 13 3 2 2. - <_> - - <_> - 5 9 12 8 -1. - <_> - 11 9 6 4 2. - <_> - 5 13 6 4 2. - <_> - - <_> - 9 12 1 3 -1. - <_> - 9 13 1 1 3. - <_> - - <_> - 10 15 2 4 -1. - <_> - 10 17 2 2 2. - <_> - - <_> - 7 7 6 1 -1. - <_> - 9 7 2 1 3. - <_> - - <_> - 12 3 6 6 -1. - <_> - 15 3 3 3 2. - <_> - 12 6 3 3 2. - <_> - - <_> - 0 4 10 6 -1. - <_> - 0 6 10 2 3. - <_> - - <_> - 8 3 8 14 -1. - <_> - 12 3 4 7 2. - <_> - 8 10 4 7 2. - <_> - - <_> - 4 4 7 15 -1. - <_> - 4 9 7 5 3. - <_> - - <_> - 12 2 6 8 -1. - <_> - 15 2 3 4 2. - <_> - 12 6 3 4 2. - <_> - - <_> - 2 2 6 8 -1. - <_> - 2 2 3 4 2. - <_> - 5 6 3 4 2. - <_> - - <_> - 2 13 18 7 -1. - <_> - 8 13 6 7 3. - <_> - - <_> - 4 3 8 14 -1. - <_> - 4 3 4 7 2. - <_> - 8 10 4 7 2. - <_> - - <_> - 18 1 2 6 -1. - <_> - 18 3 2 2 3. - <_> - - <_> - 9 11 2 3 -1. - <_> - 9 12 2 1 3. - <_> - - <_> - 18 1 2 6 -1. - <_> - 18 3 2 2 3. - <_> - - <_> - 0 1 2 6 -1. - <_> - 0 3 2 2 3. - <_> - - <_> - 1 5 18 6 -1. - <_> - 1 7 18 2 3. - <_> - - <_> - 0 2 6 7 -1. - <_> - 3 2 3 7 2. - <_> - - <_> - 7 3 6 14 -1. - <_> - 7 10 6 7 2. - <_> - - <_> - 3 7 13 10 -1. - <_> - 3 12 13 5 2. - <_> - - <_> - 11 15 2 2 -1. - <_> - 11 16 2 1 2. - <_> - - <_> - 2 11 16 4 -1. - <_> - 2 11 8 2 2. - <_> - 10 13 8 2 2. - <_> - - <_> - 13 7 6 4 -1. - <_> - 16 7 3 2 2. - <_> - 13 9 3 2 2. - <_> - - <_> - 6 10 3 9 -1. - <_> - 6 13 3 3 3. - <_> - - <_> - 14 6 1 6 -1. - <_> - 14 9 1 3 2. - <_> - - <_> - 5 10 4 1 -1. - <_> - 7 10 2 1 2. - <_> - - <_> - 3 8 15 5 -1. - <_> - 8 8 5 5 3. - <_> - - <_> - 1 6 5 4 -1. - <_> - 1 8 5 2 2. - <_> - - <_> - 3 1 17 6 -1. - <_> - 3 3 17 2 3. - <_> - - <_> - 6 7 8 2 -1. - <_> - 10 7 4 2 2. - <_> - - <_> - 9 7 3 2 -1. - <_> - 10 7 1 2 3. - <_> - - <_> - 8 7 3 2 -1. - <_> - 9 7 1 2 3. - <_> - - <_> - 8 9 4 2 -1. - <_> - 8 10 4 1 2. - <_> - - <_> - 8 8 4 3 -1. - <_> - 8 9 4 1 3. - <_> - - <_> - 9 5 6 4 -1. - <_> - 9 5 3 4 2. - <_> - - <_> - 8 13 4 3 -1. - <_> - 8 14 4 1 3. - <_> - - <_> - 4 7 12 6 -1. - <_> - 10 7 6 3 2. - <_> - 4 10 6 3 2. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 9 7 3 3 -1. - <_> - 9 8 3 1 3. - <_> - - <_> - 7 4 3 8 -1. - <_> - 8 4 1 8 3. - <_> - - <_> - 10 0 3 6 -1. - <_> - 11 0 1 6 3. - <_> - - <_> - 6 3 4 8 -1. - <_> - 8 3 2 8 2. - <_> - - <_> - 14 3 6 13 -1. - <_> - 14 3 3 13 2. - <_> - - <_> - 8 13 3 6 -1. - <_> - 8 16 3 3 2. - <_> - - <_> - 14 3 6 13 -1. - <_> - 14 3 3 13 2. - <_> - - <_> - 0 7 10 4 -1. - <_> - 0 7 5 2 2. - <_> - 5 9 5 2 2. - <_> - - <_> - 14 3 6 13 -1. - <_> - 14 3 3 13 2. - <_> - - <_> - 0 3 6 13 -1. - <_> - 3 3 3 13 2. - <_> - - <_> - 9 1 4 1 -1. - <_> - 9 1 2 1 2. - <_> - - <_> - 8 0 2 1 -1. - <_> - 9 0 1 1 2. - <_> - - <_> - 10 16 4 4 -1. - <_> - 12 16 2 2 2. - <_> - 10 18 2 2 2. - <_> - - <_> - 9 6 2 3 -1. - <_> - 10 6 1 3 2. - <_> - - <_> - 4 5 12 2 -1. - <_> - 8 5 4 2 3. - <_> - - <_> - 8 7 3 5 -1. - <_> - 9 7 1 5 3. - <_> - - <_> - 6 4 8 6 -1. - <_> - 6 6 8 2 3. - <_> - - <_> - 9 5 2 12 -1. - <_> - 9 11 2 6 2. - <_> - - <_> - 4 6 6 8 -1. - <_> - 4 10 6 4 2. - <_> - - <_> - 12 2 8 5 -1. - <_> - 12 2 4 5 2. - <_> - - <_> - 0 8 18 3 -1. - <_> - 0 9 18 1 3. - <_> - - <_> - 8 12 4 8 -1. - <_> - 8 16 4 4 2. - <_> - - <_> - 0 2 8 5 -1. - <_> - 4 2 4 5 2. - <_> - - <_> - 13 11 3 4 -1. - <_> - 13 13 3 2 2. - <_> - - <_> - 5 11 6 1 -1. - <_> - 7 11 2 1 3. - <_> - - <_> - 11 3 3 1 -1. - <_> - 12 3 1 1 3. - <_> - - <_> - 7 13 5 3 -1. - <_> - 7 14 5 1 3. - <_> - - <_> - 11 11 7 6 -1. - <_> - 11 14 7 3 2. - <_> - - <_> - 2 11 7 6 -1. - <_> - 2 14 7 3 2. - <_> - - <_> - 12 14 2 6 -1. - <_> - 12 16 2 2 3. - <_> - - <_> - 8 14 3 3 -1. - <_> - 8 15 3 1 3. - <_> - - <_> - 11 0 3 5 -1. - <_> - 12 0 1 5 3. - <_> - - <_> - 6 1 4 9 -1. - <_> - 8 1 2 9 2. - <_> - - <_> - 10 3 6 1 -1. - <_> - 12 3 2 1 3. - <_> - - <_> - 8 8 3 4 -1. - <_> - 8 10 3 2 2. - <_> - - <_> - 8 12 4 2 -1. - <_> - 8 13 4 1 2. - <_> - - <_> - 5 18 4 2 -1. - <_> - 5 19 4 1 2. - <_> - - <_> - 2 1 18 6 -1. - <_> - 2 3 18 2 3. - <_> - - <_> - 6 0 3 2 -1. - <_> - 7 0 1 2 3. - <_> - - <_> - 13 8 6 2 -1. - <_> - 16 8 3 1 2. - <_> - 13 9 3 1 2. - <_> - - <_> - 6 10 3 6 -1. - <_> - 6 13 3 3 2. - <_> - - <_> - 0 13 20 4 -1. - <_> - 10 13 10 2 2. - <_> - 0 15 10 2 2. - <_> - - <_> - 7 7 6 5 -1. - <_> - 9 7 2 5 3. - <_> - - <_> - 11 0 2 2 -1. - <_> - 11 1 2 1 2. - <_> - - <_> - 1 8 6 2 -1. - <_> - 1 8 3 1 2. - <_> - 4 9 3 1 2. - <_> - - <_> - 0 2 20 2 -1. - <_> - 10 2 10 1 2. - <_> - 0 3 10 1 2. - <_> - - <_> - 7 14 5 3 -1. - <_> - 7 15 5 1 3. - <_> - - <_> - 7 13 6 6 -1. - <_> - 10 13 3 3 2. - <_> - 7 16 3 3 2. - <_> - - <_> - 9 12 2 3 -1. - <_> - 9 13 2 1 3. - <_> - - <_> - 16 11 1 6 -1. - <_> - 16 13 1 2 3. - <_> - - <_> - 3 11 1 6 -1. - <_> - 3 13 1 2 3. - <_> - - <_> - 4 4 14 12 -1. - <_> - 11 4 7 6 2. - <_> - 4 10 7 6 2. - <_> - - <_> - 5 4 3 3 -1. - <_> - 5 5 3 1 3. - <_> - - <_> - 12 3 3 3 -1. - <_> - 13 3 1 3 3. - <_> - - <_> - 6 6 8 3 -1. - <_> - 6 7 8 1 3. - <_> - - <_> - 12 3 3 3 -1. - <_> - 13 3 1 3 3. - <_> - - <_> - 3 1 4 10 -1. - <_> - 3 1 2 5 2. - <_> - 5 6 2 5 2. - <_> - - <_> - 5 7 10 2 -1. - <_> - 5 7 5 2 2. - <_> - - <_> - 8 7 3 3 -1. - <_> - 9 7 1 3 3. - <_> - - <_> - 15 12 2 3 -1. - <_> - 15 13 2 1 3. - <_> - - <_> - 7 8 3 4 -1. - <_> - 8 8 1 4 3. - <_> - - <_> - 13 4 1 12 -1. - <_> - 13 10 1 6 2. - <_> - - <_> - 4 5 12 12 -1. - <_> - 4 5 6 6 2. - <_> - 10 11 6 6 2. - <_> - - <_> - 7 14 7 3 -1. - <_> - 7 15 7 1 3. - <_> - - <_> - 3 12 2 3 -1. - <_> - 3 13 2 1 3. - <_> - - <_> - 3 2 14 2 -1. - <_> - 10 2 7 1 2. - <_> - 3 3 7 1 2. - <_> - - <_> - 0 1 3 10 -1. - <_> - 1 1 1 10 3. - <_> - - <_> - 9 0 6 5 -1. - <_> - 11 0 2 5 3. - <_> - - <_> - 5 7 6 2 -1. - <_> - 8 7 3 2 2. - <_> - - <_> - 7 1 6 10 -1. - <_> - 7 6 6 5 2. - <_> - - <_> - 1 1 18 3 -1. - <_> - 7 1 6 3 3. - <_> - - <_> - 16 3 3 6 -1. - <_> - 16 5 3 2 3. - <_> - - <_> - 6 3 7 6 -1. - <_> - 6 6 7 3 2. - <_> - - <_> - 4 7 12 2 -1. - <_> - 8 7 4 2 3. - <_> - - <_> - 0 4 17 10 -1. - <_> - 0 9 17 5 2. - <_> - - <_> - 3 4 15 16 -1. - <_> - 3 12 15 8 2. - <_> - - <_> - 7 15 6 4 -1. - <_> - 7 17 6 2 2. - <_> - - <_> - 15 2 4 9 -1. - <_> - 15 2 2 9 2. - <_> - - <_> - 2 3 3 2 -1. - <_> - 2 4 3 1 2. - <_> - - <_> - 13 6 7 9 -1. - <_> - 13 9 7 3 3. - <_> - - <_> - 8 11 4 3 -1. - <_> - 8 12 4 1 3. - <_> - - <_> - 0 2 20 6 -1. - <_> - 10 2 10 3 2. - <_> - 0 5 10 3 2. - <_> - - <_> - 3 2 6 10 -1. - <_> - 3 2 3 5 2. - <_> - 6 7 3 5 2. - <_> - - <_> - 13 10 3 4 -1. - <_> - 13 12 3 2 2. - <_> - - <_> - 4 10 3 4 -1. - <_> - 4 12 3 2 2. - <_> - - <_> - 7 5 6 3 -1. - <_> - 9 5 2 3 3. - <_> - - <_> - 7 6 6 8 -1. - <_> - 7 10 6 4 2. - <_> - - <_> - 0 11 20 6 -1. - <_> - 0 14 20 3 2. - <_> - - <_> - 4 13 4 6 -1. - <_> - 4 13 2 3 2. - <_> - 6 16 2 3 2. - <_> - - <_> - 6 0 8 12 -1. - <_> - 10 0 4 6 2. - <_> - 6 6 4 6 2. - <_> - - <_> - 2 0 15 2 -1. - <_> - 2 1 15 1 2. - <_> - - <_> - 9 12 2 3 -1. - <_> - 9 13 2 1 3. - <_> - - <_> - 3 12 1 2 -1. - <_> - 3 13 1 1 2. - <_> - - <_> - 9 11 2 3 -1. - <_> - 9 12 2 1 3. - <_> - - <_> - 7 3 3 1 -1. - <_> - 8 3 1 1 3. - <_> - - <_> - 17 7 3 6 -1. - <_> - 17 9 3 2 3. - <_> - - <_> - 7 2 3 2 -1. - <_> - 8 2 1 2 3. - <_> - - <_> - 11 4 5 3 -1. - <_> - 11 5 5 1 3. - <_> - - <_> - 4 4 5 3 -1. - <_> - 4 5 5 1 3. - <_> - - <_> - 19 3 1 2 -1. - <_> - 19 4 1 1 2. - <_> - - <_> - 5 5 4 3 -1. - <_> - 5 6 4 1 3. - <_> - - <_> - 17 7 3 6 -1. - <_> - 17 9 3 2 3. - <_> - - <_> - 0 7 3 6 -1. - <_> - 0 9 3 2 3. - <_> - - <_> - 14 2 6 9 -1. - <_> - 14 5 6 3 3. - <_> - - <_> - 0 4 5 6 -1. - <_> - 0 6 5 2 3. - <_> - - <_> - 10 5 6 2 -1. - <_> - 12 5 2 2 3. - <_> - - <_> - 4 5 6 2 -1. - <_> - 6 5 2 2 3. - <_> - - <_> - 8 1 4 6 -1. - <_> - 8 3 4 2 3. - <_> - - <_> - 0 2 3 6 -1. - <_> - 0 4 3 2 3. - <_> - - <_> - 6 6 8 3 -1. - <_> - 6 7 8 1 3. - <_> - - <_> - 0 1 5 9 -1. - <_> - 0 4 5 3 3. - <_> - - <_> - 16 0 4 15 -1. - <_> - 16 0 2 15 2. - <_> - - <_> - 1 10 3 2 -1. - <_> - 1 11 3 1 2. - <_> - - <_> - 14 4 1 10 -1. - <_> - 14 9 1 5 2. - <_> - - <_> - 0 1 4 12 -1. - <_> - 2 1 2 12 2. - <_> - - <_> - 11 11 4 2 -1. - <_> - 11 11 2 2 2. - <_> - - <_> - 5 11 4 2 -1. - <_> - 7 11 2 2 2. - <_> - - <_> - 3 8 15 5 -1. - <_> - 8 8 5 5 3. - <_> - - <_> - 0 0 6 10 -1. - <_> - 3 0 3 10 2. - <_> - - <_> - 11 4 3 2 -1. - <_> - 12 4 1 2 3. - <_> - - <_> - 8 12 3 8 -1. - <_> - 8 16 3 4 2. - <_> - - <_> - 8 14 5 3 -1. - <_> - 8 15 5 1 3. - <_> - - <_> - 7 14 4 3 -1. - <_> - 7 15 4 1 3. - <_> - - <_> - 11 4 3 2 -1. - <_> - 12 4 1 2 3. - <_> - - <_> - 3 15 14 4 -1. - <_> - 3 15 7 2 2. - <_> - 10 17 7 2 2. - <_> - - <_> - 2 2 16 4 -1. - <_> - 10 2 8 2 2. - <_> - 2 4 8 2 2. - <_> - - <_> - 0 8 6 12 -1. - <_> - 3 8 3 12 2. - <_> - - <_> - 5 7 10 2 -1. - <_> - 5 7 5 2 2. - <_> - - <_> - 9 7 2 5 -1. - <_> - 10 7 1 5 2. - <_> - - <_> - 13 7 6 4 -1. - <_> - 16 7 3 2 2. - <_> - 13 9 3 2 2. - <_> - - <_> - 0 13 8 2 -1. - <_> - 0 14 8 1 2. - <_> - - <_> - 13 7 6 4 -1. - <_> - 16 7 3 2 2. - <_> - 13 9 3 2 2. - <_> - - <_> - 1 7 6 4 -1. - <_> - 1 7 3 2 2. - <_> - 4 9 3 2 2. - <_> - - <_> - 12 6 1 12 -1. - <_> - 12 12 1 6 2. - <_> - - <_> - 9 5 2 6 -1. - <_> - 10 5 1 6 2. - <_> - - <_> - 14 12 2 3 -1. - <_> - 14 13 2 1 3. - <_> - - <_> - 4 12 2 3 -1. - <_> - 4 13 2 1 3. - <_> - - <_> - 8 12 4 3 -1. - <_> - 8 13 4 1 3. - <_> - - <_> - 5 2 2 4 -1. - <_> - 5 2 1 2 2. - <_> - 6 4 1 2 2. - <_> - - <_> - 5 5 11 3 -1. - <_> - 5 6 11 1 3. - <_> - - <_> - 7 6 4 12 -1. - <_> - 7 12 4 6 2. - <_> - - <_> - 12 13 8 5 -1. - <_> - 12 13 4 5 2. - <_> - - <_> - 7 6 1 12 -1. - <_> - 7 12 1 6 2. - <_> - - <_> - 1 2 6 3 -1. - <_> - 4 2 3 3 2. - <_> - - <_> - 9 5 6 10 -1. - <_> - 12 5 3 5 2. - <_> - 9 10 3 5 2. - <_> - - <_> - 5 5 8 12 -1. - <_> - 5 5 4 6 2. - <_> - 9 11 4 6 2. - <_> - - <_> - 0 7 20 6 -1. - <_> - 0 9 20 2 3. - <_> - - <_> - 4 2 2 2 -1. - <_> - 4 3 2 1 2. - <_> - - <_> - 4 18 12 2 -1. - <_> - 8 18 4 2 3. - <_> - - <_> - 7 4 4 16 -1. - <_> - 7 12 4 8 2. - <_> - - <_> - 7 6 7 8 -1. - <_> - 7 10 7 4 2. - <_> - - <_> - 6 3 3 1 -1. - <_> - 7 3 1 1 3. - <_> - - <_> - 11 15 2 4 -1. - <_> - 11 17 2 2 2. - <_> - - <_> - 3 5 4 8 -1. - <_> - 3 9 4 4 2. - <_> - - <_> - 7 1 6 12 -1. - <_> - 7 7 6 6 2. - <_> - - <_> - 4 6 6 2 -1. - <_> - 6 6 2 2 3. - <_> - - <_> - 16 4 4 6 -1. - <_> - 16 6 4 2 3. - <_> - - <_> - 3 3 5 2 -1. - <_> - 3 4 5 1 2. - <_> - - <_> - 9 11 2 3 -1. - <_> - 9 12 2 1 3. - <_> - - <_> - 2 16 4 2 -1. - <_> - 2 17 4 1 2. - <_> - - <_> - 7 13 6 6 -1. - <_> - 10 13 3 3 2. - <_> - 7 16 3 3 2. - <_> - - <_> - 7 0 3 4 -1. - <_> - 8 0 1 4 3. - <_> - - <_> - 8 15 4 3 -1. - <_> - 8 16 4 1 3. - <_> - - <_> - 0 4 4 6 -1. - <_> - 0 6 4 2 3. - <_> - - <_> - 5 6 12 3 -1. - <_> - 9 6 4 3 3. - <_> - - <_> - 7 6 6 14 -1. - <_> - 9 6 2 14 3. - <_> - - <_> - 9 7 3 3 -1. - <_> - 10 7 1 3 3. - <_> - - <_> - 6 12 2 4 -1. - <_> - 6 14 2 2 2. - <_> - - <_> - 10 12 7 6 -1. - <_> - 10 14 7 2 3. - <_> - - <_> - 1 0 15 2 -1. - <_> - 1 1 15 1 2. - <_> - - <_> - 14 0 6 6 -1. - <_> - 14 0 3 6 2. - <_> - - <_> - 5 3 3 1 -1. - <_> - 6 3 1 1 3. - <_> - - <_> - 14 0 6 6 -1. - <_> - 14 0 3 6 2. - <_> - - <_> - 0 3 20 10 -1. - <_> - 0 8 20 5 2. - <_> - - <_> - 14 0 6 6 -1. - <_> - 14 0 3 6 2. - <_> - - <_> - 0 0 6 6 -1. - <_> - 3 0 3 6 2. - <_> - - <_> - 19 15 1 2 -1. - <_> - 19 16 1 1 2. - <_> - - <_> - 0 2 4 8 -1. - <_> - 2 2 2 8 2. - <_> - - <_> - 2 1 18 4 -1. - <_> - 11 1 9 2 2. - <_> - 2 3 9 2 2. - <_> - - <_> - 8 12 1 2 -1. - <_> - 8 13 1 1 2. - <_> - - <_> - 5 2 10 6 -1. - <_> - 10 2 5 3 2. - <_> - 5 5 5 3 2. - <_> - - <_> - 9 7 2 4 -1. - <_> - 10 7 1 4 2. - <_> - - <_> - 9 7 3 3 -1. - <_> - 10 7 1 3 3. - <_> - - <_> - 4 5 12 8 -1. - <_> - 8 5 4 8 3. - <_> - - <_> - 15 15 4 3 -1. - <_> - 15 16 4 1 3. - <_> - - <_> - 8 18 3 1 -1. - <_> - 9 18 1 1 3. - <_> - - <_> - 9 13 4 3 -1. - <_> - 9 14 4 1 3. - <_> - - <_> - 7 13 4 3 -1. - <_> - 7 14 4 1 3. - <_> - - <_> - 19 15 1 2 -1. - <_> - 19 16 1 1 2. - <_> - - <_> - 0 15 8 4 -1. - <_> - 0 17 8 2 2. - <_> - - <_> - 9 3 6 4 -1. - <_> - 11 3 2 4 3. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 3 14 14 6 -1. - <_> - 3 16 14 2 3. - <_> - - <_> - 6 3 6 6 -1. - <_> - 6 6 6 3 2. - <_> - - <_> - 5 11 10 6 -1. - <_> - 5 14 10 3 2. - <_> - - <_> - 3 10 3 4 -1. - <_> - 4 10 1 4 3. - <_> - - <_> - 13 9 2 2 -1. - <_> - 13 9 1 2 2. - <_> - - <_> - 5 3 6 4 -1. - <_> - 7 3 2 4 3. - <_> - - <_> - 9 7 3 3 -1. - <_> - 10 7 1 3 3. - <_> - - <_> - 2 12 2 3 -1. - <_> - 2 13 2 1 3. - <_> - - <_> - 9 8 3 12 -1. - <_> - 9 12 3 4 3. - <_> - - <_> - 3 14 4 6 -1. - <_> - 3 14 2 3 2. - <_> - 5 17 2 3 2. - <_> - - <_> - 16 15 2 2 -1. - <_> - 16 16 2 1 2. - <_> - - <_> - 2 15 2 2 -1. - <_> - 2 16 2 1 2. - <_> - - <_> - 8 12 4 3 -1. - <_> - 8 13 4 1 3. - <_> - - <_> - 0 7 20 1 -1. - <_> - 10 7 10 1 2. - <_> - - <_> - 7 6 8 3 -1. - <_> - 7 6 4 3 2. - <_> - - <_> - 5 7 8 2 -1. - <_> - 9 7 4 2 2. - <_> - - <_> - 9 7 3 5 -1. - <_> - 10 7 1 5 3. - <_> - - <_> - 8 7 3 5 -1. - <_> - 9 7 1 5 3. - <_> - - <_> - 11 1 3 5 -1. - <_> - 12 1 1 5 3. - <_> - - <_> - 6 2 3 6 -1. - <_> - 7 2 1 6 3. - <_> - - <_> - 14 14 6 5 -1. - <_> - 14 14 3 5 2. - <_> - - <_> - 9 8 2 2 -1. - <_> - 9 9 2 1 2. - <_> - - <_> - 10 7 1 3 -1. - <_> - 10 8 1 1 3. - <_> - - <_> - 6 6 2 2 -1. - <_> - 6 6 1 1 2. - <_> - 7 7 1 1 2. - <_> - - <_> - 2 11 18 4 -1. - <_> - 11 11 9 2 2. - <_> - 2 13 9 2 2. - <_> - - <_> - 6 6 2 2 -1. - <_> - 6 6 1 1 2. - <_> - 7 7 1 1 2. - <_> - - <_> - 0 15 20 2 -1. - <_> - 0 16 20 1 2. - <_> - - <_> - 4 14 2 3 -1. - <_> - 4 15 2 1 3. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 8 7 2 3 -1. - <_> - 8 8 2 1 3. - <_> - - <_> - 9 10 2 3 -1. - <_> - 9 11 2 1 3. - <_> - - <_> - 5 4 10 4 -1. - <_> - 5 6 10 2 2. - <_> - - <_> - 9 7 6 4 -1. - <_> - 12 7 3 2 2. - <_> - 9 9 3 2 2. - <_> - - <_> - 4 7 3 6 -1. - <_> - 4 9 3 2 3. - <_> - - <_> - 11 15 4 4 -1. - <_> - 13 15 2 2 2. - <_> - 11 17 2 2 2. - <_> - - <_> - 7 8 4 2 -1. - <_> - 7 9 4 1 2. - <_> - - <_> - 13 1 4 3 -1. - <_> - 13 1 2 3 2. - <_> - - <_> - 5 15 4 4 -1. - <_> - 5 15 2 2 2. - <_> - 7 17 2 2 2. - <_> - - <_> - 9 5 4 7 -1. - <_> - 9 5 2 7 2. - <_> - - <_> - 5 6 8 3 -1. - <_> - 9 6 4 3 2. - <_> - - <_> - 9 9 2 2 -1. - <_> - 9 10 2 1 2. - <_> - - <_> - 7 15 5 3 -1. - <_> - 7 16 5 1 3. - <_> - - <_> - 11 10 4 3 -1. - <_> - 11 10 2 3 2. - <_> - - <_> - 6 9 8 10 -1. - <_> - 6 14 8 5 2. - <_> - - <_> - 10 11 6 2 -1. - <_> - 10 11 3 2 2. - <_> - - <_> - 4 11 6 2 -1. - <_> - 7 11 3 2 2. - <_> - - <_> - 11 3 8 1 -1. - <_> - 11 3 4 1 2. - <_> - - <_> - 6 3 3 2 -1. - <_> - 7 3 1 2 3. - <_> - - <_> - 14 5 6 5 -1. - <_> - 14 5 3 5 2. - <_> - - <_> - 7 5 2 12 -1. - <_> - 7 11 2 6 2. - <_> - - <_> - 8 11 4 3 -1. - <_> - 8 12 4 1 3. - <_> - - <_> - 4 1 2 3 -1. - <_> - 5 1 1 3 2. - <_> - - <_> - 18 3 2 6 -1. - <_> - 18 5 2 2 3. - <_> - - <_> - 0 3 2 6 -1. - <_> - 0 5 2 2 3. - <_> - - <_> - 9 12 2 3 -1. - <_> - 9 13 2 1 3. - <_> - - <_> - 7 13 4 3 -1. - <_> - 7 14 4 1 3. - <_> - - <_> - 18 0 2 6 -1. - <_> - 18 2 2 2 3. - <_> - - <_> - 0 0 2 6 -1. - <_> - 0 2 2 2 3. - <_> - - <_> - 8 14 6 3 -1. - <_> - 8 15 6 1 3. - <_> - - <_> - 7 4 2 4 -1. - <_> - 8 4 1 4 2. - <_> - - <_> - 8 5 4 6 -1. - <_> - 8 7 4 2 3. - <_> - - <_> - 6 4 2 2 -1. - <_> - 7 4 1 2 2. - <_> - - <_> - 3 14 14 4 -1. - <_> - 10 14 7 2 2. - <_> - 3 16 7 2 2. - <_> - - <_> - 6 15 6 2 -1. - <_> - 6 15 3 1 2. - <_> - 9 16 3 1 2. - <_> - - <_> - 14 15 6 2 -1. - <_> - 14 16 6 1 2. - <_> - - <_> - 2 12 12 8 -1. - <_> - 2 16 12 4 2. - <_> - - <_> - 7 7 7 2 -1. - <_> - 7 8 7 1 2. - <_> - - <_> - 0 2 18 2 -1. - <_> - 0 3 18 1 2. - <_> - - <_> - 9 6 2 5 -1. - <_> - 9 6 1 5 2. - <_> - - <_> - 7 5 3 8 -1. - <_> - 8 5 1 8 3. - <_> - - <_> - 9 6 3 4 -1. - <_> - 10 6 1 4 3. - <_> - - <_> - 4 13 3 2 -1. - <_> - 4 14 3 1 2. - <_> - - <_> - 9 4 6 3 -1. - <_> - 11 4 2 3 3. - <_> - - <_> - 5 4 6 3 -1. - <_> - 7 4 2 3 3. - <_> - - <_> - 14 11 5 2 -1. - <_> - 14 12 5 1 2. - <_> - - <_> - 1 2 6 9 -1. - <_> - 3 2 2 9 3. - <_> - - <_> - 14 6 6 13 -1. - <_> - 14 6 3 13 2. - <_> - - <_> - 3 6 14 8 -1. - <_> - 3 6 7 4 2. - <_> - 10 10 7 4 2. - <_> - - <_> - 16 0 4 11 -1. - <_> - 16 0 2 11 2. - <_> - - <_> - 3 4 12 12 -1. - <_> - 3 4 6 6 2. - <_> - 9 10 6 6 2. - <_> - - <_> - 11 4 5 3 -1. - <_> - 11 5 5 1 3. - <_> - - <_> - 4 11 4 2 -1. - <_> - 4 12 4 1 2. - <_> - - <_> - 10 7 2 2 -1. - <_> - 10 7 1 2 2. - <_> - - <_> - 8 7 2 2 -1. - <_> - 9 7 1 2 2. - <_> - - <_> - 9 17 3 2 -1. - <_> - 10 17 1 2 3. - <_> - - <_> - 5 6 3 3 -1. - <_> - 5 7 3 1 3. - <_> - - <_> - 10 0 3 3 -1. - <_> - 11 0 1 3 3. - <_> - - <_> - 5 6 6 2 -1. - <_> - 5 6 3 1 2. - <_> - 8 7 3 1 2. - <_> - - <_> - 12 16 4 3 -1. - <_> - 12 17 4 1 3. - <_> - - <_> - 3 12 3 2 -1. - <_> - 3 13 3 1 2. - <_> - - <_> - 9 12 3 2 -1. - <_> - 9 13 3 1 2. - <_> - - <_> - 1 11 16 4 -1. - <_> - 1 11 8 2 2. - <_> - 9 13 8 2 2. - <_> - - <_> - 12 4 3 3 -1. - <_> - 12 5 3 1 3. - <_> - - <_> - 4 4 5 3 -1. - <_> - 4 5 5 1 3. - <_> - - <_> - 12 16 4 3 -1. - <_> - 12 17 4 1 3. - <_> - - <_> - 5 4 3 3 -1. - <_> - 5 5 3 1 3. - <_> - - <_> - 9 0 2 2 -1. - <_> - 9 1 2 1 2. - <_> - - <_> - 8 9 4 2 -1. - <_> - 8 10 4 1 2. - <_> - - <_> - 8 8 4 3 -1. - <_> - 8 9 4 1 3. - <_> - - <_> - 0 13 6 3 -1. - <_> - 2 13 2 3 3. - <_> - - <_> - 16 14 3 2 -1. - <_> - 16 15 3 1 2. - <_> - - <_> - 1 18 18 2 -1. - <_> - 7 18 6 2 3. - <_> - - <_> - 16 14 3 2 -1. - <_> - 16 15 3 1 2. - <_> - - <_> - 1 14 3 2 -1. - <_> - 1 15 3 1 2. - <_> - - <_> - 7 14 6 3 -1. - <_> - 7 15 6 1 3. - <_> - - <_> - 5 14 8 3 -1. - <_> - 5 15 8 1 3. - <_> - - <_> - 10 6 4 14 -1. - <_> - 10 6 2 14 2. - <_> - - <_> - 6 6 4 14 -1. - <_> - 8 6 2 14 2. - <_> - - <_> - 13 5 2 3 -1. - <_> - 13 6 2 1 3. - <_> - - <_> - 7 16 6 1 -1. - <_> - 9 16 2 1 3. - <_> - - <_> - 9 12 3 3 -1. - <_> - 9 13 3 1 3. - <_> - - <_> - 7 0 3 3 -1. - <_> - 8 0 1 3 3. - <_> - - <_> - 4 0 16 18 -1. - <_> - 4 9 16 9 2. - <_> - - <_> - 1 1 16 14 -1. - <_> - 1 8 16 7 2. - <_> - - <_> - 3 9 15 4 -1. - <_> - 8 9 5 4 3. - <_> - - <_> - 6 12 7 3 -1. - <_> - 6 13 7 1 3. - <_> - - <_> - 14 15 2 3 -1. - <_> - 14 16 2 1 3. - <_> - - <_> - 2 3 16 14 -1. - <_> - 2 3 8 7 2. - <_> - 10 10 8 7 2. - <_> - - <_> - 16 2 4 18 -1. - <_> - 18 2 2 9 2. - <_> - 16 11 2 9 2. - <_> - - <_> - 4 15 2 3 -1. - <_> - 4 16 2 1 3. - <_> - - <_> - 16 2 4 18 -1. - <_> - 18 2 2 9 2. - <_> - 16 11 2 9 2. - <_> - - <_> - 1 1 8 3 -1. - <_> - 1 2 8 1 3. - <_> - - <_> - 8 11 4 3 -1. - <_> - 8 12 4 1 3. - <_> - - <_> - 5 11 5 9 -1. - <_> - 5 14 5 3 3. - <_> - - <_> - 16 0 4 11 -1. - <_> - 16 0 2 11 2. - <_> - - <_> - 7 0 6 1 -1. - <_> - 9 0 2 1 3. - <_> - - <_> - 16 3 3 7 -1. - <_> - 17 3 1 7 3. - <_> - - <_> - 1 3 3 7 -1. - <_> - 2 3 1 7 3. - <_> - - <_> - 7 8 6 12 -1. - <_> - 7 12 6 4 3. - <_> - - <_> - 0 0 4 11 -1. - <_> - 2 0 2 11 2. - <_> - - <_> - 14 0 6 20 -1. - <_> - 14 0 3 20 2. - <_> - - <_> - 0 3 1 2 -1. - <_> - 0 4 1 1 2. - <_> - - <_> - 5 5 10 8 -1. - <_> - 10 5 5 4 2. - <_> - 5 9 5 4 2. - <_> - - <_> - 4 7 12 4 -1. - <_> - 4 7 6 2 2. - <_> - 10 9 6 2 2. - <_> - - <_> - 2 1 6 4 -1. - <_> - 5 1 3 4 2. - <_> - - <_> - 9 7 6 4 -1. - <_> - 12 7 3 2 2. - <_> - 9 9 3 2 2. - <_> - - <_> - 5 6 2 6 -1. - <_> - 5 9 2 3 2. - <_> - - <_> - 9 16 6 4 -1. - <_> - 12 16 3 2 2. - <_> - 9 18 3 2 2. - <_> - - <_> - 9 4 2 12 -1. - <_> - 9 10 2 6 2. - <_> - - <_> - 7 1 6 18 -1. - <_> - 9 1 2 18 3. - <_> - - <_> - 4 12 12 2 -1. - <_> - 8 12 4 2 3. - <_> - - <_> - 8 8 6 2 -1. - <_> - 8 9 6 1 2. - <_> - - <_> - 8 0 3 6 -1. - <_> - 9 0 1 6 3. - <_> - - <_> - 11 18 3 2 -1. - <_> - 11 19 3 1 2. - <_> - - <_> - 1 1 17 4 -1. - <_> - 1 3 17 2 2. - <_> - - <_> - 11 8 4 12 -1. - <_> - 11 8 2 12 2. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 12 3 2 17 -1. - <_> - 12 3 1 17 2. - <_> - - <_> - 4 7 6 1 -1. - <_> - 6 7 2 1 3. - <_> - - <_> - 18 3 2 3 -1. - <_> - 18 4 2 1 3. - <_> - - <_> - 8 4 3 4 -1. - <_> - 8 6 3 2 2. - <_> - - <_> - 4 5 12 10 -1. - <_> - 4 10 12 5 2. - <_> - - <_> - 5 18 4 2 -1. - <_> - 7 18 2 2 2. - <_> - - <_> - 17 2 3 6 -1. - <_> - 17 4 3 2 3. - <_> - - <_> - 7 7 6 6 -1. - <_> - 9 7 2 6 3. - <_> - - <_> - 17 2 3 6 -1. - <_> - 17 4 3 2 3. - <_> - - <_> - 8 0 3 4 -1. - <_> - 9 0 1 4 3. - <_> - - <_> - 9 14 2 3 -1. - <_> - 9 15 2 1 3. - <_> - - <_> - 0 12 6 3 -1. - <_> - 0 13 6 1 3. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 3 12 2 3 -1. - <_> - 3 13 2 1 3. - <_> - - <_> - 5 6 12 7 -1. - <_> - 9 6 4 7 3. - <_> - - <_> - 0 2 3 6 -1. - <_> - 0 4 3 2 3. - <_> - - <_> - 14 6 1 3 -1. - <_> - 14 7 1 1 3. - <_> - - <_> - 2 0 3 14 -1. - <_> - 3 0 1 14 3. - <_> - - <_> - 12 14 5 6 -1. - <_> - 12 16 5 2 3. - <_> - - <_> - 4 14 5 6 -1. - <_> - 4 16 5 2 3. - <_> - - <_> - 11 10 2 2 -1. - <_> - 12 10 1 1 2. - <_> - 11 11 1 1 2. - <_> - - <_> - 5 0 3 14 -1. - <_> - 6 0 1 14 3. - <_> - - <_> - 10 15 2 3 -1. - <_> - 10 16 2 1 3. - <_> - - <_> - 0 2 2 3 -1. - <_> - 0 3 2 1 3. - <_> - - <_> - 5 11 12 6 -1. - <_> - 5 14 12 3 2. - <_> - - <_> - 6 11 3 9 -1. - <_> - 6 14 3 3 3. - <_> - - <_> - 11 10 2 2 -1. - <_> - 12 10 1 1 2. - <_> - 11 11 1 1 2. - <_> - - <_> - 5 6 1 3 -1. - <_> - 5 7 1 1 3. - <_> - - <_> - 4 9 13 3 -1. - <_> - 4 10 13 1 3. - <_> - - <_> - 1 7 15 6 -1. - <_> - 6 7 5 6 3. - <_> - - <_> - 4 5 12 6 -1. - <_> - 8 5 4 6 3. - <_> - - <_> - 8 10 4 3 -1. - <_> - 8 11 4 1 3. - <_> - - <_> - 15 14 1 3 -1. - <_> - 15 15 1 1 3. - <_> - - <_> - 1 11 5 3 -1. - <_> - 1 12 5 1 3. - <_> - - <_> - 7 1 7 12 -1. - <_> - 7 7 7 6 2. - <_> - - <_> - 0 1 6 10 -1. - <_> - 0 1 3 5 2. - <_> - 3 6 3 5 2. - <_> - - <_> - 16 1 4 3 -1. - <_> - 16 2 4 1 3. - <_> - - <_> - 5 5 2 3 -1. - <_> - 5 6 2 1 3. - <_> - - <_> - 12 2 3 5 -1. - <_> - 13 2 1 5 3. - <_> - - <_> - 0 3 4 6 -1. - <_> - 0 5 4 2 3. - <_> - - <_> - 8 12 4 2 -1. - <_> - 8 13 4 1 2. - <_> - - <_> - 8 18 3 1 -1. - <_> - 9 18 1 1 3. - <_> - - <_> - 11 10 2 2 -1. - <_> - 12 10 1 1 2. - <_> - 11 11 1 1 2. - <_> - - <_> - 7 10 2 2 -1. - <_> - 7 10 1 1 2. - <_> - 8 11 1 1 2. - <_> - - <_> - 11 11 4 4 -1. - <_> - 11 13 4 2 2. - <_> - - <_> - 8 12 3 8 -1. - <_> - 9 12 1 8 3. - <_> - - <_> - 13 0 6 3 -1. - <_> - 13 1 6 1 3. - <_> - - <_> - 8 8 3 4 -1. - <_> - 9 8 1 4 3. - <_> - - <_> - 5 7 10 10 -1. - <_> - 10 7 5 5 2. - <_> - 5 12 5 5 2. - <_> - - <_> - 3 18 8 2 -1. - <_> - 3 18 4 1 2. - <_> - 7 19 4 1 2. - <_> - - <_> - 10 2 6 8 -1. - <_> - 12 2 2 8 3. - <_> - - <_> - 4 2 6 8 -1. - <_> - 6 2 2 8 3. - <_> - - <_> - 11 0 3 7 -1. - <_> - 12 0 1 7 3. - <_> - - <_> - 7 11 2 1 -1. - <_> - 8 11 1 1 2. - <_> - - <_> - 15 14 1 3 -1. - <_> - 15 15 1 1 3. - <_> - - <_> - 7 15 2 2 -1. - <_> - 7 15 1 1 2. - <_> - 8 16 1 1 2. - <_> - - <_> - 15 14 1 3 -1. - <_> - 15 15 1 1 3. - <_> - - <_> - 6 0 3 7 -1. - <_> - 7 0 1 7 3. - <_> - - <_> - 18 1 2 7 -1. - <_> - 18 1 1 7 2. - <_> - - <_> - 2 0 8 20 -1. - <_> - 2 10 8 10 2. - <_> - - <_> - 3 0 15 6 -1. - <_> - 3 2 15 2 3. - <_> - - <_> - 4 3 12 2 -1. - <_> - 4 4 12 1 2. - <_> - - <_> - 16 0 4 5 -1. - <_> - 16 0 2 5 2. - <_> - - <_> - 7 0 3 4 -1. - <_> - 8 0 1 4 3. - <_> - - <_> - 16 0 4 5 -1. - <_> - 16 0 2 5 2. - <_> - - <_> - 1 7 6 13 -1. - <_> - 3 7 2 13 3. - <_> - - <_> - 16 0 4 5 -1. - <_> - 16 0 2 5 2. - <_> - - <_> - 0 0 4 5 -1. - <_> - 2 0 2 5 2. - <_> - - <_> - 14 12 3 6 -1. - <_> - 14 14 3 2 3. - <_> - - <_> - 3 12 3 6 -1. - <_> - 3 14 3 2 3. - <_> - - <_> - 16 1 4 3 -1. - <_> - 16 2 4 1 3. - <_> - - <_> - 8 7 2 10 -1. - <_> - 8 7 1 5 2. - <_> - 9 12 1 5 2. - <_> - - <_> - 11 11 4 4 -1. - <_> - 11 13 4 2 2. - <_> - - <_> - 0 1 4 3 -1. - <_> - 0 2 4 1 3. - <_> - - <_> - 13 4 1 3 -1. - <_> - 13 5 1 1 3. - <_> - - <_> - 7 15 3 5 -1. - <_> - 8 15 1 5 3. - <_> - - <_> - 9 7 3 5 -1. - <_> - 10 7 1 5 3. - <_> - - <_> - 8 7 3 5 -1. - <_> - 9 7 1 5 3. - <_> - - <_> - 10 6 4 14 -1. - <_> - 10 6 2 14 2. - <_> - - <_> - 0 5 5 6 -1. - <_> - 0 7 5 2 3. - <_> - - <_> - 9 5 6 4 -1. - <_> - 9 5 3 4 2. - <_> - - <_> - 0 0 18 10 -1. - <_> - 6 0 6 10 3. - <_> - - <_> - 10 6 4 14 -1. - <_> - 10 6 2 14 2. - <_> - - <_> - 6 6 4 14 -1. - <_> - 8 6 2 14 2. - <_> - - <_> - 13 4 1 3 -1. - <_> - 13 5 1 1 3. - <_> - - <_> - 5 1 2 3 -1. - <_> - 6 1 1 3 2. - <_> - - <_> - 18 1 2 18 -1. - <_> - 19 1 1 9 2. - <_> - 18 10 1 9 2. - <_> - - <_> - 2 1 4 3 -1. - <_> - 2 2 4 1 3. - <_> - - <_> - 18 1 2 18 -1. - <_> - 19 1 1 9 2. - <_> - 18 10 1 9 2. - <_> - - <_> - 1 14 4 6 -1. - <_> - 1 14 2 3 2. - <_> - 3 17 2 3 2. - <_> - - <_> - 10 11 7 6 -1. - <_> - 10 13 7 2 3. - <_> - - <_> - 0 10 6 10 -1. - <_> - 0 10 3 5 2. - <_> - 3 15 3 5 2. - <_> - - <_> - 11 0 3 4 -1. - <_> - 12 0 1 4 3. - <_> - - <_> - 5 10 5 6 -1. - <_> - 5 13 5 3 2. - <_> - - <_> - 14 6 1 8 -1. - <_> - 14 10 1 4 2. - <_> - - <_> - 1 7 18 6 -1. - <_> - 1 7 9 3 2. - <_> - 10 10 9 3 2. - <_> - - <_> - 9 7 2 2 -1. - <_> - 9 7 1 2 2. - <_> - - <_> - 5 9 4 5 -1. - <_> - 7 9 2 5 2. - <_> - - <_> - 7 6 6 3 -1. - <_> - 9 6 2 3 3. - <_> - - <_> - 1 0 18 4 -1. - <_> - 7 0 6 4 3. - <_> - - <_> - 7 15 2 4 -1. - <_> - 7 17 2 2 2. - <_> - - <_> - 1 0 19 9 -1. - <_> - 1 3 19 3 3. - <_> - - <_> - 3 7 3 6 -1. - <_> - 3 9 3 2 3. - <_> - - <_> - 13 7 4 4 -1. - <_> - 15 7 2 2 2. - <_> - 13 9 2 2 2. - <_> - - <_> - 3 7 4 4 -1. - <_> - 3 7 2 2 2. - <_> - 5 9 2 2 2. - <_> - - <_> - 9 6 10 8 -1. - <_> - 9 10 10 4 2. - <_> - - <_> - 3 8 14 12 -1. - <_> - 3 14 14 6 2. - <_> - - <_> - 6 5 10 12 -1. - <_> - 11 5 5 6 2. - <_> - 6 11 5 6 2. - <_> - - <_> - 9 11 2 3 -1. - <_> - 9 12 2 1 3. - <_> - - <_> - 9 5 6 5 -1. - <_> - 9 5 3 5 2. - <_> - - <_> - 9 4 2 4 -1. - <_> - 9 6 2 2 2. - <_> - - <_> - 9 5 6 5 -1. - <_> - 9 5 3 5 2. - <_> - - <_> - 5 5 6 5 -1. - <_> - 8 5 3 5 2. - <_> - - <_> - 11 2 6 1 -1. - <_> - 13 2 2 1 3. - <_> - - <_> - 3 2 6 1 -1. - <_> - 5 2 2 1 3. - <_> - - <_> - 13 5 2 3 -1. - <_> - 13 6 2 1 3. - <_> - - <_> - 0 10 1 4 -1. - <_> - 0 12 1 2 2. - <_> - - <_> - 13 5 2 3 -1. - <_> - 13 6 2 1 3. - <_> - - <_> - 8 18 3 2 -1. - <_> - 9 18 1 2 3. - <_> - - <_> - 6 15 9 2 -1. - <_> - 6 16 9 1 2. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 18 4 2 4 -1. - <_> - 18 6 2 2 2. - <_> - - <_> - 5 5 2 3 -1. - <_> - 5 6 2 1 3. - <_> - - <_> - 15 16 3 2 -1. - <_> - 15 17 3 1 2. - <_> - - <_> - 0 0 3 9 -1. - <_> - 0 3 3 3 3. - <_> - - <_> - 9 7 3 3 -1. - <_> - 9 8 3 1 3. - <_> - - <_> - 8 7 3 3 -1. - <_> - 8 8 3 1 3. - <_> - - <_> - 9 5 2 6 -1. - <_> - 9 5 1 6 2. - <_> - - <_> - 8 6 3 4 -1. - <_> - 9 6 1 4 3. - <_> - - <_> - 7 6 8 12 -1. - <_> - 11 6 4 6 2. - <_> - 7 12 4 6 2. - <_> - - <_> - 5 6 8 12 -1. - <_> - 5 6 4 6 2. - <_> - 9 12 4 6 2. - <_> - - <_> - 12 4 3 3 -1. - <_> - 12 5 3 1 3. - <_> - - <_> - 2 16 3 2 -1. - <_> - 2 17 3 1 2. - <_> - - <_> - 12 4 3 3 -1. - <_> - 12 5 3 1 3. - <_> - - <_> - 2 12 6 6 -1. - <_> - 2 14 6 2 3. - <_> - - <_> - 7 13 6 3 -1. - <_> - 7 14 6 1 3. - <_> - - <_> - 6 14 6 3 -1. - <_> - 6 15 6 1 3. - <_> - - <_> - 14 15 5 3 -1. - <_> - 14 16 5 1 3. - <_> - - <_> - 5 4 3 3 -1. - <_> - 5 5 3 1 3. - <_> - - <_> - 14 15 5 3 -1. - <_> - 14 16 5 1 3. - <_> - - <_> - 5 3 6 2 -1. - <_> - 7 3 2 2 3. - <_> - - <_> - 8 15 4 3 -1. - <_> - 8 16 4 1 3. - <_> - - <_> - 1 15 5 3 -1. - <_> - 1 16 5 1 3. - <_> - - <_> - 8 13 4 6 -1. - <_> - 10 13 2 3 2. - <_> - 8 16 2 3 2. - <_> - - <_> - 7 8 3 3 -1. - <_> - 8 8 1 3 3. - <_> - - <_> - 12 0 5 4 -1. - <_> - 12 2 5 2 2. - <_> - - <_> - 0 2 20 2 -1. - <_> - 0 2 10 1 2. - <_> - 10 3 10 1 2. - <_> - - <_> - 1 0 18 4 -1. - <_> - 7 0 6 4 3. - <_> - - <_> - 4 3 6 1 -1. - <_> - 6 3 2 1 3. - <_> - - <_> - 4 18 13 2 -1. - <_> - 4 19 13 1 2. - <_> - - <_> - 2 10 3 6 -1. - <_> - 2 12 3 2 3. - <_> - - <_> - 14 12 6 8 -1. - <_> - 17 12 3 4 2. - <_> - 14 16 3 4 2. - <_> - - <_> - 4 13 10 6 -1. - <_> - 4 13 5 3 2. - <_> - 9 16 5 3 2. - <_> - - <_> - 14 12 1 2 -1. - <_> - 14 13 1 1 2. - <_> - - <_> - 8 13 4 3 -1. - <_> - 8 14 4 1 3. - <_> - - <_> - 14 12 2 2 -1. - <_> - 14 13 2 1 2. - <_> - - <_> - 4 12 2 2 -1. - <_> - 4 13 2 1 2. - <_> - - <_> - 8 12 9 2 -1. - <_> - 8 13 9 1 2. - <_> - - <_> - 9 14 2 3 -1. - <_> - 9 15 2 1 3. - <_> - - <_> - 11 10 3 6 -1. - <_> - 11 13 3 3 2. - <_> - - <_> - 5 6 9 12 -1. - <_> - 5 12 9 6 2. - <_> - - <_> - 11 10 3 6 -1. - <_> - 11 13 3 3 2. - <_> - - <_> - 6 10 3 6 -1. - <_> - 6 13 3 3 2. - <_> - - <_> - 5 4 11 3 -1. - <_> - 5 5 11 1 3. - <_> - - <_> - 7 1 5 10 -1. - <_> - 7 6 5 5 2. - <_> - - <_> - 2 8 18 2 -1. - <_> - 2 9 18 1 2. - <_> - - <_> - 7 17 5 3 -1. - <_> - 7 18 5 1 3. - <_> - - <_> - 5 9 12 1 -1. - <_> - 9 9 4 1 3. - <_> - - <_> - 0 14 6 6 -1. - <_> - 0 14 3 3 2. - <_> - 3 17 3 3 2. - <_> - - <_> - 5 9 12 1 -1. - <_> - 9 9 4 1 3. - <_> - - <_> - 3 9 12 1 -1. - <_> - 7 9 4 1 3. - <_> - - <_> - 14 10 6 7 -1. - <_> - 14 10 3 7 2. - <_> - - <_> - 1 0 16 2 -1. - <_> - 1 1 16 1 2. - <_> - - <_> - 10 9 10 9 -1. - <_> - 10 12 10 3 3. - <_> - - <_> - 0 1 10 2 -1. - <_> - 5 1 5 2 2. - <_> - - <_> - 17 3 2 3 -1. - <_> - 17 4 2 1 3. - <_> - - <_> - 1 3 2 3 -1. - <_> - 1 4 2 1 3. - <_> - - <_> - 9 7 3 6 -1. - <_> - 10 7 1 6 3. - <_> - - <_> - 6 5 4 3 -1. - <_> - 8 5 2 3 2. - <_> - - <_> - 7 5 6 6 -1. - <_> - 9 5 2 6 3. - <_> - - <_> - 3 4 12 12 -1. - <_> - 3 4 6 6 2. - <_> - 9 10 6 6 2. - <_> - - <_> - 9 2 6 15 -1. - <_> - 11 2 2 15 3. - <_> - - <_> - 2 2 6 17 -1. - <_> - 4 2 2 17 3. - <_> - - <_> - 14 10 6 7 -1. - <_> - 14 10 3 7 2. - <_> - - <_> - 0 10 6 7 -1. - <_> - 3 10 3 7 2. - <_> - - <_> - 9 2 6 15 -1. - <_> - 11 2 2 15 3. - <_> - - <_> - 5 2 6 15 -1. - <_> - 7 2 2 15 3. - <_> - - <_> - 17 9 3 6 -1. - <_> - 17 11 3 2 3. - <_> - - <_> - 6 7 6 6 -1. - <_> - 8 7 2 6 3. - <_> - - <_> - 1 10 18 6 -1. - <_> - 10 10 9 3 2. - <_> - 1 13 9 3 2. - <_> - - <_> - 0 9 10 9 -1. - <_> - 0 12 10 3 3. - <_> - - <_> - 8 15 4 3 -1. - <_> - 8 16 4 1 3. - <_> - - <_> - 5 12 3 4 -1. - <_> - 5 14 3 2 2. - <_> - - <_> - 3 3 16 12 -1. - <_> - 3 9 16 6 2. - <_> - - <_> - 1 1 12 12 -1. - <_> - 1 1 6 6 2. - <_> - 7 7 6 6 2. - <_> - - <_> - 10 4 2 4 -1. - <_> - 11 4 1 2 2. - <_> - 10 6 1 2 2. - <_> - - <_> - 0 9 10 2 -1. - <_> - 0 9 5 1 2. - <_> - 5 10 5 1 2. - <_> - - <_> - 9 11 3 3 -1. - <_> - 9 12 3 1 3. - <_> - - <_> - 3 12 9 2 -1. - <_> - 3 13 9 1 2. - <_> - - <_> - 9 9 2 2 -1. - <_> - 9 10 2 1 2. - <_> - - <_> - 3 4 13 6 -1. - <_> - 3 6 13 2 3. - <_> - - <_> - 9 7 6 4 -1. - <_> - 12 7 3 2 2. - <_> - 9 9 3 2 2. - <_> - - <_> - 1 0 6 8 -1. - <_> - 4 0 3 8 2. - <_> - - <_> - 9 5 2 12 -1. - <_> - 9 11 2 6 2. - <_> - - <_> - 4 4 3 10 -1. - <_> - 4 9 3 5 2. - <_> - - <_> - 6 17 8 3 -1. - <_> - 6 18 8 1 3. - <_> - - <_> - 0 5 10 6 -1. - <_> - 0 7 10 2 3. - <_> - - <_> - 13 2 3 2 -1. - <_> - 13 3 3 1 2. - <_> - - <_> - 7 5 4 5 -1. - <_> - 9 5 2 5 2. - <_> - - <_> - 12 14 3 6 -1. - <_> - 12 16 3 2 3. - <_> - - <_> - 1 11 8 2 -1. - <_> - 1 12 8 1 2. - <_> - - <_> - 7 13 6 3 -1. - <_> - 7 14 6 1 3. - <_> - - <_> - 0 5 3 6 -1. - <_> - 0 7 3 2 3. - <_> - - <_> - 13 2 3 2 -1. - <_> - 13 3 3 1 2. - <_> - - <_> - 4 14 4 6 -1. - <_> - 4 14 2 3 2. - <_> - 6 17 2 3 2. - <_> - - <_> - 13 2 3 2 -1. - <_> - 13 3 3 1 2. - <_> - - <_> - 8 2 4 12 -1. - <_> - 8 6 4 4 3. - <_> - - <_> - 14 0 6 8 -1. - <_> - 17 0 3 4 2. - <_> - 14 4 3 4 2. - <_> - - <_> - 7 17 3 2 -1. - <_> - 8 17 1 2 3. - <_> - - <_> - 8 12 4 2 -1. - <_> - 8 13 4 1 2. - <_> - - <_> - 6 0 8 12 -1. - <_> - 6 0 4 6 2. - <_> - 10 6 4 6 2. - <_> - - <_> - 14 0 2 10 -1. - <_> - 15 0 1 5 2. - <_> - 14 5 1 5 2. - <_> - - <_> - 5 3 8 6 -1. - <_> - 5 3 4 3 2. - <_> - 9 6 4 3 2. - <_> - - <_> - 14 0 6 10 -1. - <_> - 17 0 3 5 2. - <_> - 14 5 3 5 2. - <_> - - <_> - 9 14 1 2 -1. - <_> - 9 15 1 1 2. - <_> - - <_> - 15 10 4 3 -1. - <_> - 15 11 4 1 3. - <_> - - <_> - 8 14 2 3 -1. - <_> - 8 15 2 1 3. - <_> - - <_> - 3 13 14 4 -1. - <_> - 10 13 7 2 2. - <_> - 3 15 7 2 2. - <_> - - <_> - 1 10 4 3 -1. - <_> - 1 11 4 1 3. - <_> - - <_> - 9 11 6 1 -1. - <_> - 11 11 2 1 3. - <_> - - <_> - 5 11 6 1 -1. - <_> - 7 11 2 1 3. - <_> - - <_> - 3 5 16 15 -1. - <_> - 3 10 16 5 3. - <_> - - <_> - 6 12 4 2 -1. - <_> - 8 12 2 2 2. - <_> - - <_> - 4 4 12 10 -1. - <_> - 10 4 6 5 2. - <_> - 4 9 6 5 2. - <_> - - <_> - 8 6 3 4 -1. - <_> - 9 6 1 4 3. - <_> - - <_> - 8 12 4 8 -1. - <_> - 10 12 2 4 2. - <_> - 8 16 2 4 2. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 12 2 3 2 -1. - <_> - 13 2 1 2 3. - <_> - - <_> - 8 15 3 2 -1. - <_> - 8 16 3 1 2. - <_> - - <_> - 6 0 9 14 -1. - <_> - 9 0 3 14 3. - <_> - - <_> - 9 6 2 3 -1. - <_> - 10 6 1 3 2. - <_> - - <_> - 10 8 2 3 -1. - <_> - 10 9 2 1 3. - <_> - - <_> - 0 9 4 6 -1. - <_> - 0 11 4 2 3. - <_> - - <_> - 6 0 8 2 -1. - <_> - 6 1 8 1 2. - <_> - - <_> - 6 14 7 3 -1. - <_> - 6 15 7 1 3. - <_> - - <_> - 8 10 8 9 -1. - <_> - 8 13 8 3 3. - <_> - - <_> - 5 2 3 2 -1. - <_> - 6 2 1 2 3. - <_> - - <_> - 14 1 6 8 -1. - <_> - 17 1 3 4 2. - <_> - 14 5 3 4 2. - <_> - - <_> - 0 1 6 8 -1. - <_> - 0 1 3 4 2. - <_> - 3 5 3 4 2. - <_> - - <_> - 1 2 18 6 -1. - <_> - 10 2 9 3 2. - <_> - 1 5 9 3 2. - <_> - - <_> - 9 3 2 1 -1. - <_> - 10 3 1 1 2. - <_> - - <_> - 13 2 4 6 -1. - <_> - 15 2 2 3 2. - <_> - 13 5 2 3 2. - <_> - - <_> - 5 4 3 3 -1. - <_> - 5 5 3 1 3. - <_> - - <_> - 13 5 1 3 -1. - <_> - 13 6 1 1 3. - <_> - - <_> - 2 16 5 3 -1. - <_> - 2 17 5 1 3. - <_> - - <_> - 13 2 4 6 -1. - <_> - 15 2 2 3 2. - <_> - 13 5 2 3 2. - <_> - - <_> - 3 2 4 6 -1. - <_> - 3 2 2 3 2. - <_> - 5 5 2 3 2. - <_> - - <_> - 13 5 1 2 -1. - <_> - 13 6 1 1 2. - <_> - - <_> - 5 5 2 2 -1. - <_> - 5 6 2 1 2. - <_> - - <_> - 13 9 2 2 -1. - <_> - 13 9 1 2 2. - <_> - - <_> - 5 9 2 2 -1. - <_> - 6 9 1 2 2. - <_> - - <_> - 13 17 3 2 -1. - <_> - 13 18 3 1 2. - <_> - - <_> - 6 16 4 4 -1. - <_> - 6 16 2 2 2. - <_> - 8 18 2 2 2. - <_> - - <_> - 9 16 2 3 -1. - <_> - 9 17 2 1 3. - <_> - - <_> - 0 13 9 6 -1. - <_> - 0 15 9 2 3. - <_> - - <_> - 9 14 2 6 -1. - <_> - 9 17 2 3 2. - <_> - - <_> - 9 15 2 3 -1. - <_> - 9 16 2 1 3. - <_> - - <_> - 1 10 18 6 -1. - <_> - 1 12 18 2 3. - <_> - - <_> - 8 11 4 2 -1. - <_> - 8 12 4 1 2. - <_> - - <_> - 7 9 6 2 -1. - <_> - 7 10 6 1 2. - <_> - - <_> - 8 8 2 3 -1. - <_> - 8 9 2 1 3. - <_> - - <_> - 17 5 3 4 -1. - <_> - 18 5 1 4 3. - <_> - - <_> - 1 19 18 1 -1. - <_> - 7 19 6 1 3. - <_> - - <_> - 9 0 3 2 -1. - <_> - 10 0 1 2 3. - <_> - - <_> - 1 8 1 6 -1. - <_> - 1 10 1 2 3. - <_> - - <_> - 12 17 8 3 -1. - <_> - 12 17 4 3 2. - <_> - - <_> - 0 5 3 4 -1. - <_> - 1 5 1 4 3. - <_> - - <_> - 9 7 2 3 -1. - <_> - 9 8 2 1 3. - <_> - - <_> - 7 11 2 2 -1. - <_> - 7 11 1 1 2. - <_> - 8 12 1 1 2. - <_> - - <_> - 11 3 2 5 -1. - <_> - 11 3 1 5 2. - <_> - - <_> - 7 3 2 5 -1. - <_> - 8 3 1 5 2. - <_> - - <_> - 15 13 2 3 -1. - <_> - 15 14 2 1 3. - <_> - - <_> - 5 6 2 3 -1. - <_> - 5 7 2 1 3. - <_> - - <_> - 4 19 15 1 -1. - <_> - 9 19 5 1 3. - <_> - - <_> - 1 19 15 1 -1. - <_> - 6 19 5 1 3. - <_> - - <_> - 15 13 2 3 -1. - <_> - 15 14 2 1 3. - <_> - - <_> - 5 0 4 15 -1. - <_> - 7 0 2 15 2. - <_> - - <_> - 9 6 2 5 -1. - <_> - 9 6 1 5 2. - <_> - - <_> - 9 5 2 7 -1. - <_> - 10 5 1 7 2. - <_> - - <_> - 16 11 3 3 -1. - <_> - 16 12 3 1 3. - <_> - - <_> - 1 11 3 3 -1. - <_> - 1 12 3 1 3. - <_> - - <_> - 6 6 8 3 -1. - <_> - 6 7 8 1 3. - <_> - - <_> - 0 15 6 2 -1. - <_> - 0 16 6 1 2. - <_> - - <_> - 1 0 18 6 -1. - <_> - 7 0 6 6 3. - <_> - - <_> - 6 0 3 4 -1. - <_> - 7 0 1 4 3. - <_> - - <_> - 14 10 4 10 -1. - <_> - 16 10 2 5 2. - <_> - 14 15 2 5 2. - <_> - - <_> - 3 2 3 2 -1. - <_> - 4 2 1 2 3. - <_> - - <_> - 11 2 2 2 -1. - <_> - 11 3 2 1 2. - <_> - - <_> - 2 10 4 10 -1. - <_> - 2 10 2 5 2. - <_> - 4 15 2 5 2. - <_> - - <_> - 0 13 20 6 -1. - <_> - 10 13 10 3 2. - <_> - 0 16 10 3 2. - <_> - - <_> - 0 5 2 15 -1. - <_> - 1 5 1 15 2. - <_> - - <_> - 1 7 18 4 -1. - <_> - 10 7 9 2 2. - <_> - 1 9 9 2 2. - <_> - - <_> - 0 0 2 17 -1. - <_> - 1 0 1 17 2. - <_> - - <_> - 2 6 16 6 -1. - <_> - 10 6 8 3 2. - <_> - 2 9 8 3 2. - <_> - - <_> - 8 14 1 3 -1. - <_> - 8 15 1 1 3. - <_> - - <_> - 8 15 4 2 -1. - <_> - 8 16 4 1 2. - <_> - - <_> - 5 2 8 2 -1. - <_> - 5 2 4 1 2. - <_> - 9 3 4 1 2. - <_> - - <_> - 6 11 8 6 -1. - <_> - 6 14 8 3 2. - <_> - - <_> - 9 13 2 2 -1. - <_> - 9 14 2 1 2. - <_> - - <_> - 18 4 2 6 -1. - <_> - 18 6 2 2 3. - <_> - - <_> - 9 12 2 2 -1. - <_> - 9 13 2 1 2. - <_> - - <_> - 18 4 2 6 -1. - <_> - 18 6 2 2 3. - <_> - - <_> - 9 13 1 3 -1. - <_> - 9 14 1 1 3. - <_> - - <_> - 18 4 2 6 -1. - <_> - 18 6 2 2 3. - <_> - - <_> - 0 4 2 6 -1. - <_> - 0 6 2 2 3. - <_> - - <_> - 9 12 3 3 -1. - <_> - 9 13 3 1 3. - <_> - - <_> - 3 13 2 3 -1. - <_> - 3 14 2 1 3. - <_> - - <_> - 13 13 4 3 -1. - <_> - 13 14 4 1 3. - <_> - - <_> - 5 4 3 3 -1. - <_> - 5 5 3 1 3. - <_> - - <_> - 5 2 10 6 -1. - <_> - 5 4 10 2 3. - <_> - - <_> - 3 13 4 3 -1. - <_> - 3 14 4 1 3. - <_> - - <_> - 3 7 15 5 -1. - <_> - 8 7 5 5 3. - <_> - - <_> - 3 7 12 2 -1. - <_> - 7 7 4 2 3. - <_> - - <_> - 10 3 3 9 -1. - <_> - 11 3 1 9 3. - <_> - - <_> - 8 6 4 6 -1. - <_> - 10 6 2 6 2. - <_> - - <_> - 9 7 4 3 -1. - <_> - 9 8 4 1 3. - <_> - - <_> - 0 9 4 9 -1. - <_> - 2 9 2 9 2. - <_> - - <_> - 9 13 3 5 -1. - <_> - 10 13 1 5 3. - <_> - - <_> - 7 7 6 3 -1. - <_> - 9 7 2 3 3. - <_> - - <_> - 9 7 3 5 -1. - <_> - 10 7 1 5 3. - <_> - - <_> - 5 7 8 2 -1. - <_> - 9 7 4 2 2. - <_> - - <_> - 5 9 12 2 -1. - <_> - 9 9 4 2 3. - <_> - - <_> - 5 6 10 3 -1. - <_> - 10 6 5 3 2. - <_> - - <_> - 10 12 3 1 -1. - <_> - 11 12 1 1 3. - <_> - - <_> - 0 1 11 15 -1. - <_> - 0 6 11 5 3. - <_> - - <_> - 1 0 18 6 -1. - <_> - 7 0 6 6 3. - <_> - - <_> - 7 7 6 1 -1. - <_> - 9 7 2 1 3. - <_> - - <_> - 5 16 6 4 -1. - <_> - 5 16 3 2 2. - <_> - 8 18 3 2 2. - <_> - - <_> - 6 5 9 8 -1. - <_> - 6 9 9 4 2. - <_> - - <_> - 5 10 2 6 -1. - <_> - 5 13 2 3 2. - <_> - - <_> - 7 6 8 10 -1. - <_> - 11 6 4 5 2. - <_> - 7 11 4 5 2. - <_> - - <_> - 5 6 8 10 -1. - <_> - 5 6 4 5 2. - <_> - 9 11 4 5 2. - <_> - - <_> - 9 5 2 2 -1. - <_> - 9 6 2 1 2. - <_> - - <_> - 5 12 8 2 -1. - <_> - 5 13 8 1 2. - <_> - - <_> - 10 2 8 2 -1. - <_> - 10 3 8 1 2. - <_> - - <_> - 4 0 2 10 -1. - <_> - 4 0 1 5 2. - <_> - 5 5 1 5 2. - <_> - - <_> - 9 10 2 2 -1. - <_> - 9 11 2 1 2. - <_> - - <_> - 2 8 15 3 -1. - <_> - 2 9 15 1 3. - <_> - - <_> - 8 13 4 3 -1. - <_> - 8 14 4 1 3. - <_> - - <_> - 7 2 3 2 -1. - <_> - 8 2 1 2 3. - <_> - - <_> - 7 13 6 3 -1. - <_> - 7 14 6 1 3. - <_> - - <_> - 9 9 2 2 -1. - <_> - 9 10 2 1 2. - <_> - - <_> - 17 2 3 6 -1. - <_> - 17 4 3 2 3. - <_> - - <_> - 1 5 3 4 -1. - <_> - 2 5 1 4 3. - <_> - - <_> - 14 8 4 6 -1. - <_> - 14 10 4 2 3. - <_> - - <_> - 1 4 3 8 -1. - <_> - 2 4 1 8 3. - <_> - - <_> - 8 13 4 6 -1. - <_> - 8 16 4 3 2. - <_> - - <_> - 3 14 2 2 -1. - <_> - 3 15 2 1 2. - <_> - - <_> - 14 8 4 6 -1. - <_> - 14 10 4 2 3. - <_> - - <_> - 2 8 4 6 -1. - <_> - 2 10 4 2 3. - <_> - - <_> - 10 14 1 6 -1. - <_> - 10 17 1 3 2. - <_> - - <_> - 7 5 3 6 -1. - <_> - 8 5 1 6 3. - <_> - - <_> - 11 2 2 6 -1. - <_> - 12 2 1 3 2. - <_> - 11 5 1 3 2. - <_> - - <_> - 6 6 6 5 -1. - <_> - 8 6 2 5 3. - <_> - - <_> - 17 1 3 6 -1. - <_> - 17 3 3 2 3. - <_> - - <_> - 8 7 3 5 -1. - <_> - 9 7 1 5 3. - <_> - - <_> - 9 18 3 2 -1. - <_> - 10 18 1 2 3. - <_> - - <_> - 8 18 3 2 -1. - <_> - 9 18 1 2 3. - <_> - - <_> - 12 3 5 2 -1. - <_> - 12 4 5 1 2. - <_> - - <_> - 7 1 5 12 -1. - <_> - 7 7 5 6 2. - <_> - - <_> - 1 0 18 4 -1. - <_> - 7 0 6 4 3. - <_> - - <_> - 4 2 2 2 -1. - <_> - 4 3 2 1 2. - <_> - - <_> - 11 14 4 2 -1. - <_> - 13 14 2 1 2. - <_> - 11 15 2 1 2. - <_> - - <_> - 0 2 3 6 -1. - <_> - 0 4 3 2 3. - <_> - - <_> - 9 7 2 3 -1. - <_> - 9 8 2 1 3. - <_> - - <_> - 5 5 1 3 -1. - <_> - 5 6 1 1 3. - <_> - - <_> - 10 10 6 1 -1. - <_> - 10 10 3 1 2. - <_> - - <_> - 4 10 6 1 -1. - <_> - 7 10 3 1 2. - <_> - - <_> - 9 17 3 3 -1. - <_> - 9 18 3 1 3. - <_> - - <_> - 4 14 1 3 -1. - <_> - 4 15 1 1 3. - <_> - - <_> - 12 5 3 3 -1. - <_> - 12 6 3 1 3. - <_> - - <_> - 4 5 12 3 -1. - <_> - 4 6 12 1 3. - <_> - - <_> - 9 8 2 3 -1. - <_> - 9 9 2 1 3. - <_> - - <_> - 4 9 3 3 -1. - <_> - 5 9 1 3 3. - <_> - - <_> - 6 0 9 17 -1. - <_> - 9 0 3 17 3. - <_> - - <_> - 9 12 1 3 -1. - <_> - 9 13 1 1 3. - <_> - - <_> - 9 5 2 15 -1. - <_> - 9 10 2 5 3. - <_> - - <_> - 8 14 2 3 -1. - <_> - 8 15 2 1 3. - <_> - - <_> - 10 14 1 3 -1. - <_> - 10 15 1 1 3. - <_> - - <_> - 7 1 6 5 -1. - <_> - 9 1 2 5 3. - <_> - - <_> - 0 0 20 2 -1. - <_> - 0 0 10 2 2. - <_> - - <_> - 2 13 5 3 -1. - <_> - 2 14 5 1 3. - <_> - - <_> - 9 11 2 3 -1. - <_> - 9 12 2 1 3. - <_> - - <_> - 2 5 9 15 -1. - <_> - 2 10 9 5 3. - <_> - - <_> - 5 0 12 10 -1. - <_> - 11 0 6 5 2. - <_> - 5 5 6 5 2. - <_> - - <_> - 5 1 2 3 -1. - <_> - 6 1 1 3 2. - <_> - - <_> - 10 7 6 1 -1. - <_> - 12 7 2 1 3. - <_> - - <_> - 3 1 2 10 -1. - <_> - 3 1 1 5 2. - <_> - 4 6 1 5 2. - <_> - - <_> - 13 7 2 1 -1. - <_> - 13 7 1 1 2. - <_> - - <_> - 4 13 4 6 -1. - <_> - 4 15 4 2 3. - <_> - - <_> - 13 7 2 1 -1. - <_> - 13 7 1 1 2. - <_> - - <_> - 5 7 2 1 -1. - <_> - 6 7 1 1 2. - <_> - - <_> - 2 12 18 4 -1. - <_> - 11 12 9 2 2. - <_> - 2 14 9 2 2. - <_> - - <_> - 5 7 2 2 -1. - <_> - 5 7 1 1 2. - <_> - 6 8 1 1 2. - <_> - - <_> - 16 3 4 2 -1. - <_> - 16 4 4 1 2. - <_> - - <_> - 0 2 2 18 -1. - <_> - 0 2 1 9 2. - <_> - 1 11 1 9 2. - <_> - - <_> - 1 2 18 4 -1. - <_> - 10 2 9 2 2. - <_> - 1 4 9 2 2. - <_> - - <_> - 9 14 1 3 -1. - <_> - 9 15 1 1 3. - <_> - - <_> - 2 12 18 4 -1. - <_> - 11 12 9 2 2. - <_> - 2 14 9 2 2. - <_> - - <_> - 0 12 18 4 -1. - <_> - 0 12 9 2 2. - <_> - 9 14 9 2 2. - <_> - - <_> - 11 4 5 3 -1. - <_> - 11 5 5 1 3. - <_> - - <_> - 6 4 7 3 -1. - <_> - 6 5 7 1 3. - <_> - - <_> - 13 17 3 3 -1. - <_> - 13 18 3 1 3. - <_> - - <_> - 8 1 3 4 -1. - <_> - 9 1 1 4 3. - <_> - - <_> - 11 4 2 4 -1. - <_> - 11 4 1 4 2. - <_> - - <_> - 0 17 9 3 -1. - <_> - 3 17 3 3 3. - <_> - - <_> - 11 0 2 8 -1. - <_> - 12 0 1 4 2. - <_> - 11 4 1 4 2. - <_> - - <_> - 0 8 6 12 -1. - <_> - 0 8 3 6 2. - <_> - 3 14 3 6 2. - <_> - - <_> - 10 7 4 12 -1. - <_> - 10 13 4 6 2. - <_> - - <_> - 5 3 8 14 -1. - <_> - 5 10 8 7 2. - <_> - - <_> - 14 10 6 1 -1. - <_> - 14 10 3 1 2. - <_> - - <_> - 0 4 10 4 -1. - <_> - 0 6 10 2 2. - <_> - - <_> - 10 0 5 8 -1. - <_> - 10 4 5 4 2. - <_> - - <_> - 8 1 4 8 -1. - <_> - 8 1 2 4 2. - <_> - 10 5 2 4 2. - <_> - - <_> - 9 11 6 1 -1. - <_> - 11 11 2 1 3. - <_> - - <_> - 8 9 3 4 -1. - <_> - 9 9 1 4 3. - <_> - - <_> - 18 4 2 6 -1. - <_> - 18 6 2 2 3. - <_> - - <_> - 8 8 3 4 -1. - <_> - 9 8 1 4 3. - <_> - - <_> - 7 1 13 3 -1. - <_> - 7 2 13 1 3. - <_> - - <_> - 7 13 6 1 -1. - <_> - 9 13 2 1 3. - <_> - - <_> - 12 11 3 6 -1. - <_> - 12 13 3 2 3. - <_> - - <_> - 5 11 6 1 -1. - <_> - 7 11 2 1 3. - <_> - - <_> - 1 4 18 10 -1. - <_> - 10 4 9 5 2. - <_> - 1 9 9 5 2. - <_> - - <_> - 8 6 4 9 -1. - <_> - 8 9 4 3 3. - <_> - - <_> - 8 6 4 3 -1. - <_> - 8 7 4 1 3. - <_> - - <_> - 8 7 3 3 -1. - <_> - 9 7 1 3 3. - <_> - - <_> - 14 15 4 3 -1. - <_> - 14 16 4 1 3. - <_> - - <_> - 5 10 3 10 -1. - <_> - 6 10 1 10 3. - <_> - - <_> - 8 15 4 3 -1. - <_> - 8 16 4 1 3. - <_> - - <_> - 0 8 1 6 -1. - <_> - 0 10 1 2 3. - <_> - - <_> - 10 15 1 3 -1. - <_> - 10 16 1 1 3. - <_> - - <_> - 2 15 4 3 -1. - <_> - 2 16 4 1 3. - <_> - - <_> - 18 3 2 8 -1. - <_> - 19 3 1 4 2. - <_> - 18 7 1 4 2. - <_> - - <_> - 0 3 2 8 -1. - <_> - 0 3 1 4 2. - <_> - 1 7 1 4 2. - <_> - - <_> - 3 7 14 10 -1. - <_> - 10 7 7 5 2. - <_> - 3 12 7 5 2. - <_> - - <_> - 0 7 19 3 -1. - <_> - 0 8 19 1 3. - <_> - - <_> - 12 6 3 3 -1. - <_> - 12 7 3 1 3. - <_> - - <_> - 0 6 1 3 -1. - <_> - 0 7 1 1 3. - <_> - - <_> - 12 6 3 3 -1. - <_> - 12 7 3 1 3. - <_> - - <_> - 5 6 3 3 -1. - <_> - 5 7 3 1 3. - <_> - - <_> - 8 2 4 2 -1. - <_> - 8 3 4 1 2. - <_> - - <_> - 6 3 4 12 -1. - <_> - 8 3 2 12 2. - <_> - - <_> - 13 6 2 3 -1. - <_> - 13 7 2 1 3. - <_> - - <_> - 0 10 20 4 -1. - <_> - 0 12 20 2 2. - <_> - - <_> - 2 0 17 14 -1. - <_> - 2 7 17 7 2. - <_> - - <_> - 0 0 6 10 -1. - <_> - 0 0 3 5 2. - <_> - 3 5 3 5 2. - <_> - - <_> - 14 6 6 4 -1. - <_> - 14 6 3 4 2. - <_> - - <_> - 0 6 6 4 -1. - <_> - 3 6 3 4 2. - <_> - - <_> - 13 2 7 2 -1. - <_> - 13 3 7 1 2. - <_> - - <_> - 0 2 7 2 -1. - <_> - 0 3 7 1 2. - <_> - - <_> - 6 11 14 2 -1. - <_> - 13 11 7 1 2. - <_> - 6 12 7 1 2. - <_> - - <_> - 8 5 2 2 -1. - <_> - 8 5 1 1 2. - <_> - 9 6 1 1 2. - <_> - - <_> - 13 9 2 3 -1. - <_> - 13 9 1 3 2. - <_> - - <_> - 1 1 3 12 -1. - <_> - 2 1 1 12 3. - <_> - - <_> - 17 4 1 3 -1. - <_> - 17 5 1 1 3. - <_> - - <_> - 2 4 1 3 -1. - <_> - 2 5 1 1 3. - <_> - - <_> - 14 5 1 3 -1. - <_> - 14 6 1 1 3. - <_> - - <_> - 7 16 2 3 -1. - <_> - 7 17 2 1 3. - <_> - - <_> - 8 13 4 6 -1. - <_> - 10 13 2 3 2. - <_> - 8 16 2 3 2. - <_> - - <_> - 5 5 1 3 -1. - <_> - 5 6 1 1 3. - <_> - - <_> - 16 0 4 20 -1. - <_> - 16 0 2 20 2. - <_> - - <_> - 5 1 2 6 -1. - <_> - 5 1 1 3 2. - <_> - 6 4 1 3 2. - <_> - - <_> - 5 4 10 4 -1. - <_> - 5 6 10 2 2. - <_> - - <_> - 15 2 4 12 -1. - <_> - 15 2 2 12 2. - <_> - - <_> - 7 6 4 12 -1. - <_> - 7 12 4 6 2. - <_> - - <_> - 14 5 1 8 -1. - <_> - 14 9 1 4 2. - <_> - - <_> - 1 4 14 10 -1. - <_> - 1 4 7 5 2. - <_> - 8 9 7 5 2. - <_> - - <_> - 11 6 6 14 -1. - <_> - 14 6 3 7 2. - <_> - 11 13 3 7 2. - <_> - - <_> - 3 6 6 14 -1. - <_> - 3 6 3 7 2. - <_> - 6 13 3 7 2. - <_> - - <_> - 4 9 15 2 -1. - <_> - 9 9 5 2 3. - <_> - - <_> - 7 14 6 3 -1. - <_> - 7 15 6 1 3. - <_> - - <_> - 6 3 14 4 -1. - <_> - 13 3 7 2 2. - <_> - 6 5 7 2 2. - <_> - - <_> - 1 9 15 2 -1. - <_> - 6 9 5 2 3. - <_> - - <_> - 6 11 8 9 -1. - <_> - 6 14 8 3 3. - <_> - - <_> - 7 4 3 8 -1. - <_> - 8 4 1 8 3. - <_> - - <_> - 14 6 2 6 -1. - <_> - 14 9 2 3 2. - <_> - - <_> - 5 7 6 4 -1. - <_> - 5 7 3 2 2. - <_> - 8 9 3 2 2. - <_> - - <_> - 1 1 18 19 -1. - <_> - 7 1 6 19 3. - <_> - - <_> - 1 2 6 5 -1. - <_> - 4 2 3 5 2. - <_> - - <_> - 12 17 6 2 -1. - <_> - 12 18 6 1 2. - <_> - - <_> - 2 17 6 2 -1. - <_> - 2 18 6 1 2. - <_> - - <_> - 17 3 3 6 -1. - <_> - 17 5 3 2 3. - <_> - - <_> - 8 17 3 3 -1. - <_> - 8 18 3 1 3. - <_> - - <_> - 10 13 2 6 -1. - <_> - 10 16 2 3 2. - <_> - - <_> - 7 13 6 3 -1. - <_> - 7 14 6 1 3. - <_> - - <_> - 17 3 3 6 -1. - <_> - 17 5 3 2 3. - <_> - - <_> - 8 13 2 3 -1. - <_> - 8 14 2 1 3. - <_> - - <_> - 9 3 6 2 -1. - <_> - 11 3 2 2 3. - <_> - - <_> - 0 3 3 6 -1. - <_> - 0 5 3 2 3. - <_> - - <_> - 8 5 4 6 -1. - <_> - 8 7 4 2 3. - <_> - - <_> - 5 5 3 2 -1. - <_> - 5 6 3 1 2. - <_> - - <_> - 10 1 3 4 -1. - <_> - 11 1 1 4 3. - <_> - - <_> - 1 2 5 9 -1. - <_> - 1 5 5 3 3. - <_> - - <_> - 13 6 2 3 -1. - <_> - 13 7 2 1 3. - <_> - - <_> - 0 6 14 3 -1. - <_> - 7 6 7 3 2. - <_> - - <_> - 2 11 18 8 -1. - <_> - 2 15 18 4 2. - <_> - - <_> - 5 6 2 3 -1. - <_> - 5 7 2 1 3. - <_> - - <_> - 10 6 4 2 -1. - <_> - 12 6 2 1 2. - <_> - 10 7 2 1 2. - <_> - - <_> - 6 6 4 2 -1. - <_> - 6 6 2 1 2. - <_> - 8 7 2 1 2. - <_> - - <_> - 10 1 3 4 -1. - <_> - 11 1 1 4 3. - <_> - - <_> - 7 1 2 7 -1. - <_> - 8 1 1 7 2. - <_> - - <_> - 4 2 15 14 -1. - <_> - 4 9 15 7 2. - <_> - - <_> - 8 7 3 2 -1. - <_> - 9 7 1 2 3. - <_> - - <_> - 2 3 18 4 -1. - <_> - 11 3 9 2 2. - <_> - 2 5 9 2 2. - <_> - - <_> - 9 7 2 2 -1. - <_> - 10 7 1 2 2. - <_> - - <_> - 13 9 2 3 -1. - <_> - 13 9 1 3 2. - <_> - - <_> - 5 2 6 2 -1. - <_> - 7 2 2 2 3. - <_> - - <_> - 9 5 2 7 -1. - <_> - 9 5 1 7 2. - <_> - - <_> - 5 9 2 3 -1. - <_> - 6 9 1 3 2. - <_> - - <_> - 6 0 14 18 -1. - <_> - 6 9 14 9 2. - <_> - - <_> - 2 16 6 3 -1. - <_> - 2 17 6 1 3. - <_> - - <_> - 9 7 3 6 -1. - <_> - 10 7 1 6 3. - <_> - - <_> - 7 8 4 3 -1. - <_> - 7 9 4 1 3. - <_> - - <_> - 7 12 6 3 -1. - <_> - 7 13 6 1 3. - <_> - - <_> - 9 12 2 3 -1. - <_> - 9 13 2 1 3. - <_> - - <_> - 7 12 6 2 -1. - <_> - 9 12 2 2 3. - <_> - - <_> - 5 11 4 6 -1. - <_> - 5 14 4 3 2. - <_> - - <_> - 11 12 7 2 -1. - <_> - 11 13 7 1 2. - <_> - - <_> - 6 10 8 6 -1. - <_> - 6 10 4 3 2. - <_> - 10 13 4 3 2. - <_> - - <_> - 11 10 3 4 -1. - <_> - 11 12 3 2 2. - <_> - - <_> - 9 16 2 3 -1. - <_> - 9 17 2 1 3. - <_> - - <_> - 13 3 1 9 -1. - <_> - 13 6 1 3 3. - <_> - - <_> - 1 13 14 6 -1. - <_> - 1 15 14 2 3. - <_> - - <_> - 13 6 1 6 -1. - <_> - 13 9 1 3 2. - <_> - - <_> - 0 4 3 8 -1. - <_> - 1 4 1 8 3. - <_> - - <_> - 18 0 2 18 -1. - <_> - 18 0 1 18 2. - <_> - - <_> - 2 3 6 2 -1. - <_> - 2 4 6 1 2. - <_> - - <_> - 9 0 8 6 -1. - <_> - 9 2 8 2 3. - <_> - - <_> - 6 6 1 6 -1. - <_> - 6 9 1 3 2. - <_> - - <_> - 14 8 6 3 -1. - <_> - 14 9 6 1 3. - <_> - - <_> - 0 0 2 18 -1. - <_> - 1 0 1 18 2. - <_> - - <_> - 1 18 18 2 -1. - <_> - 10 18 9 1 2. - <_> - 1 19 9 1 2. - <_> - - <_> - 3 15 2 2 -1. - <_> - 3 16 2 1 2. - <_> - - <_> - 8 14 5 3 -1. - <_> - 8 15 5 1 3. - <_> - - <_> - 8 14 2 3 -1. - <_> - 8 15 2 1 3. - <_> - - <_> - 12 3 3 3 -1. - <_> - 13 3 1 3 3. - <_> - - <_> - 7 5 6 2 -1. - <_> - 9 5 2 2 3. - <_> - - <_> - 15 5 5 2 -1. - <_> - 15 6 5 1 2. - <_> - - <_> - 0 5 5 2 -1. - <_> - 0 6 5 1 2. - <_> - - <_> - 17 14 1 6 -1. - <_> - 17 17 1 3 2. - <_> - - <_> - 2 9 9 3 -1. - <_> - 5 9 3 3 3. - <_> - - <_> - 12 3 3 3 -1. - <_> - 13 3 1 3 3. - <_> - - <_> - 0 0 4 18 -1. - <_> - 2 0 2 18 2. - <_> - - <_> - 17 6 1 3 -1. - <_> - 17 7 1 1 3. - <_> - - <_> - 2 14 1 6 -1. - <_> - 2 17 1 3 2. - <_> - - <_> - 19 8 1 2 -1. - <_> - 19 9 1 1 2. - <_> - - <_> - 5 3 3 3 -1. - <_> - 6 3 1 3 3. - <_> - - <_> - 9 16 2 3 -1. - <_> - 9 17 2 1 3. - <_> - - <_> - 2 6 1 3 -1. - <_> - 2 7 1 1 3. - <_> - - <_> - 12 4 8 2 -1. - <_> - 16 4 4 1 2. - <_> - 12 5 4 1 2. - <_> - - <_> - 0 4 8 2 -1. - <_> - 0 4 4 1 2. - <_> - 4 5 4 1 2. - <_> - - <_> - 2 16 18 4 -1. - <_> - 2 18 18 2 2. - <_> - - <_> - 7 15 2 4 -1. - <_> - 7 17 2 2 2. - <_> - - <_> - 4 0 14 3 -1. - <_> - 4 1 14 1 3. - <_> - - <_> - 0 0 4 20 -1. - <_> - 2 0 2 20 2. - <_> - - <_> - 12 4 4 8 -1. - <_> - 14 4 2 4 2. - <_> - 12 8 2 4 2. - <_> - - <_> - 6 7 2 2 -1. - <_> - 6 7 1 1 2. - <_> - 7 8 1 1 2. - <_> - - <_> - 10 6 2 3 -1. - <_> - 10 7 2 1 3. - <_> - - <_> - 8 7 3 2 -1. - <_> - 8 8 3 1 2. - <_> - - <_> - 8 2 6 12 -1. - <_> - 8 8 6 6 2. - <_> - - <_> - 4 0 11 12 -1. - <_> - 4 4 11 4 3. - <_> - - <_> - 14 9 6 11 -1. - <_> - 16 9 2 11 3. - <_> - - <_> - 0 14 4 3 -1. - <_> - 0 15 4 1 3. - <_> - - <_> - 9 10 2 3 -1. - <_> - 9 11 2 1 3. - <_> - - <_> - 5 11 3 2 -1. - <_> - 5 12 3 1 2. - <_> - - <_> - 9 15 3 3 -1. - <_> - 10 15 1 3 3. - <_> - - <_> - 8 8 3 4 -1. - <_> - 9 8 1 4 3. - <_> - - <_> - 9 15 3 3 -1. - <_> - 10 15 1 3 3. - <_> - - <_> - 7 7 3 2 -1. - <_> - 8 7 1 2 3. - <_> - - <_> - 2 10 16 4 -1. - <_> - 10 10 8 2 2. - <_> - 2 12 8 2 2. - <_> - - <_> - 2 3 4 17 -1. - <_> - 4 3 2 17 2. - <_> - - <_> - 15 13 2 7 -1. - <_> - 15 13 1 7 2. - <_> - - <_> - 2 2 6 1 -1. - <_> - 5 2 3 1 2. - <_> - - <_> - 5 2 12 4 -1. - <_> - 9 2 4 4 3. - <_> - - <_> - 6 0 8 12 -1. - <_> - 6 0 4 6 2. - <_> - 10 6 4 6 2. - <_> - - <_> - 13 7 2 2 -1. - <_> - 14 7 1 1 2. - <_> - 13 8 1 1 2. - <_> - - <_> - 0 12 20 6 -1. - <_> - 0 14 20 2 3. - <_> - - <_> - 14 7 2 3 -1. - <_> - 14 7 1 3 2. - <_> - - <_> - 0 8 9 12 -1. - <_> - 3 8 3 12 3. - <_> - - <_> - 3 0 16 2 -1. - <_> - 3 0 8 2 2. - <_> - - <_> - 6 15 3 3 -1. - <_> - 6 16 3 1 3. - <_> - - <_> - 8 15 6 3 -1. - <_> - 8 16 6 1 3. - <_> - - <_> - 0 10 1 6 -1. - <_> - 0 12 1 2 3. - <_> - - <_> - 10 9 4 3 -1. - <_> - 10 10 4 1 3. - <_> - - <_> - 9 15 2 3 -1. - <_> - 9 16 2 1 3. - <_> - - <_> - 5 7 10 1 -1. - <_> - 5 7 5 1 2. - <_> - - <_> - 4 0 12 19 -1. - <_> - 10 0 6 19 2. - <_> - - <_> - 0 6 20 6 -1. - <_> - 10 6 10 3 2. - <_> - 0 9 10 3 2. - <_> - - <_> - 3 6 2 2 -1. - <_> - 3 6 1 1 2. - <_> - 4 7 1 1 2. - <_> - - <_> - 15 6 2 2 -1. - <_> - 16 6 1 1 2. - <_> - 15 7 1 1 2. - <_> - - <_> - 3 6 2 2 -1. - <_> - 3 6 1 1 2. - <_> - 4 7 1 1 2. - <_> - - <_> - 14 4 1 12 -1. - <_> - 14 10 1 6 2. - <_> - - <_> - 2 5 16 10 -1. - <_> - 2 5 8 5 2. - <_> - 10 10 8 5 2. - <_> - - <_> - 9 17 3 2 -1. - <_> - 10 17 1 2 3. - <_> - - <_> - 1 4 2 2 -1. - <_> - 1 5 2 1 2. - <_> - - <_> - 5 0 15 5 -1. - <_> - 10 0 5 5 3. - <_> - - <_> - 0 0 15 5 -1. - <_> - 5 0 5 5 3. - <_> - - <_> - 11 2 2 17 -1. - <_> - 11 2 1 17 2. - <_> - - <_> - 7 2 2 17 -1. - <_> - 8 2 1 17 2. - <_> - - <_> - 15 11 2 9 -1. - <_> - 15 11 1 9 2. - <_> - - <_> - 3 11 2 9 -1. - <_> - 4 11 1 9 2. - <_> - - <_> - 5 16 14 4 -1. - <_> - 5 16 7 4 2. - <_> - - <_> - 1 4 18 1 -1. - <_> - 7 4 6 1 3. - <_> - - <_> - 13 7 6 4 -1. - <_> - 16 7 3 2 2. - <_> - 13 9 3 2 2. - <_> - - <_> - 9 8 2 12 -1. - <_> - 9 12 2 4 3. - <_> - - <_> - 12 1 6 6 -1. - <_> - 12 3 6 2 3. - <_> - - <_> - 5 2 6 6 -1. - <_> - 5 2 3 3 2. - <_> - 8 5 3 3 2. - <_> - - <_> - 9 16 6 4 -1. - <_> - 12 16 3 2 2. - <_> - 9 18 3 2 2. - <_> - - <_> - 1 2 18 3 -1. - <_> - 7 2 6 3 3. - <_> - - <_> - 7 4 9 10 -1. - <_> - 7 9 9 5 2. - <_> - - <_> - 5 9 4 4 -1. - <_> - 7 9 2 4 2. - <_> - - <_> - 11 10 3 6 -1. - <_> - 11 13 3 3 2. - <_> - - <_> - 7 11 5 3 -1. - <_> - 7 12 5 1 3. - <_> - - <_> - 7 11 6 6 -1. - <_> - 10 11 3 3 2. - <_> - 7 14 3 3 2. - <_> - - <_> - 0 0 10 9 -1. - <_> - 0 3 10 3 3. - <_> - - <_> - 13 14 1 6 -1. - <_> - 13 16 1 2 3. - <_> - - <_> - 0 2 3 6 -1. - <_> - 0 4 3 2 3. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 6 14 1 6 -1. - <_> - 6 16 1 2 3. - <_> - - <_> - 9 15 2 3 -1. - <_> - 9 16 2 1 3. - <_> - - <_> - 6 4 3 3 -1. - <_> - 7 4 1 3 3. - <_> - - <_> - 9 0 11 3 -1. - <_> - 9 1 11 1 3. - <_> - - <_> - 0 6 20 3 -1. - <_> - 0 7 20 1 3. - <_> - - <_> - 10 1 1 2 -1. - <_> - 10 2 1 1 2. - <_> - - <_> - 9 6 2 6 -1. - <_> - 10 6 1 6 2. - <_> - - <_> - 5 8 12 1 -1. - <_> - 9 8 4 1 3. - <_> - - <_> - 3 8 12 1 -1. - <_> - 7 8 4 1 3. - <_> - - <_> - 9 7 3 5 -1. - <_> - 10 7 1 5 3. - <_> - - <_> - 3 9 6 2 -1. - <_> - 6 9 3 2 2. - <_> - - <_> - 12 9 3 3 -1. - <_> - 12 10 3 1 3. - <_> - - <_> - 7 0 6 1 -1. - <_> - 9 0 2 1 3. - <_> - - <_> - 12 9 3 3 -1. - <_> - 12 10 3 1 3. - <_> - - <_> - 7 10 2 1 -1. - <_> - 8 10 1 1 2. - <_> - - <_> - 6 4 9 13 -1. - <_> - 9 4 3 13 3. - <_> - - <_> - 6 8 4 2 -1. - <_> - 6 9 4 1 2. - <_> - - <_> - 16 2 4 6 -1. - <_> - 16 2 2 6 2. - <_> - - <_> - 0 17 6 3 -1. - <_> - 0 18 6 1 3. - <_> - - <_> - 10 10 3 10 -1. - <_> - 10 15 3 5 2. - <_> - - <_> - 8 7 3 5 -1. - <_> - 9 7 1 5 3. - <_> - - <_> - 10 4 4 3 -1. - <_> - 10 4 2 3 2. - <_> - - <_> - 8 4 3 8 -1. - <_> - 9 4 1 8 3. - <_> - - <_> - 6 6 9 13 -1. - <_> - 9 6 3 13 3. - <_> - - <_> - 6 0 8 12 -1. - <_> - 6 0 4 6 2. - <_> - 10 6 4 6 2. - <_> - - <_> - 14 2 6 8 -1. - <_> - 16 2 2 8 3. - <_> - - <_> - 6 0 3 6 -1. - <_> - 7 0 1 6 3. - <_> - - <_> - 14 2 6 8 -1. - <_> - 16 2 2 8 3. - <_> - - <_> - 0 5 6 6 -1. - <_> - 0 8 6 3 2. - <_> - - <_> - 9 12 6 2 -1. - <_> - 12 12 3 1 2. - <_> - 9 13 3 1 2. - <_> - - <_> - 8 17 3 2 -1. - <_> - 9 17 1 2 3. - <_> - - <_> - 11 6 2 2 -1. - <_> - 12 6 1 1 2. - <_> - 11 7 1 1 2. - <_> - - <_> - 1 9 18 2 -1. - <_> - 7 9 6 2 3. - <_> - - <_> - 11 6 2 2 -1. - <_> - 12 6 1 1 2. - <_> - 11 7 1 1 2. - <_> - - <_> - 3 4 12 8 -1. - <_> - 7 4 4 8 3. - <_> - - <_> - 13 11 5 3 -1. - <_> - 13 12 5 1 3. - <_> - - <_> - 9 10 2 3 -1. - <_> - 9 11 2 1 3. - <_> - - <_> - 14 7 2 3 -1. - <_> - 14 7 1 3 2. - <_> - - <_> - 5 4 1 3 -1. - <_> - 5 5 1 1 3. - <_> - - <_> - 13 4 2 3 -1. - <_> - 13 5 2 1 3. - <_> - - <_> - 5 4 2 3 -1. - <_> - 5 5 2 1 3. - <_> - - <_> - 9 8 2 3 -1. - <_> - 9 9 2 1 3. - <_> - - <_> - 8 9 2 2 -1. - <_> - 8 10 2 1 2. - <_> - - <_> - 15 14 1 4 -1. - <_> - 15 16 1 2 2. - <_> - - <_> - 3 12 2 2 -1. - <_> - 3 13 2 1 2. - <_> - - <_> - 12 15 2 2 -1. - <_> - 13 15 1 1 2. - <_> - 12 16 1 1 2. - <_> - - <_> - 9 13 2 2 -1. - <_> - 9 14 2 1 2. - <_> - - <_> - 4 11 14 9 -1. - <_> - 4 14 14 3 3. - <_> - - <_> - 7 13 4 3 -1. - <_> - 7 14 4 1 3. - <_> - - <_> - 15 14 1 4 -1. - <_> - 15 16 1 2 2. - <_> - - <_> - 4 14 1 4 -1. - <_> - 4 16 1 2 2. - <_> - - <_> - 14 0 6 13 -1. - <_> - 16 0 2 13 3. - <_> - - <_> - 4 1 2 12 -1. - <_> - 4 1 1 6 2. - <_> - 5 7 1 6 2. - <_> - - <_> - 11 14 6 6 -1. - <_> - 14 14 3 3 2. - <_> - 11 17 3 3 2. - <_> - - <_> - 3 14 6 6 -1. - <_> - 3 14 3 3 2. - <_> - 6 17 3 3 2. - <_> - - <_> - 14 17 3 2 -1. - <_> - 14 18 3 1 2. - <_> - - <_> - 3 17 3 2 -1. - <_> - 3 18 3 1 2. - <_> - - <_> - 14 0 6 13 -1. - <_> - 16 0 2 13 3. - <_> - - <_> - 0 0 6 13 -1. - <_> - 2 0 2 13 3. - <_> - - <_> - 10 10 7 6 -1. - <_> - 10 12 7 2 3. - <_> - - <_> - 6 15 2 2 -1. - <_> - 6 15 1 1 2. - <_> - 7 16 1 1 2. - <_> - - <_> - 6 11 8 6 -1. - <_> - 10 11 4 3 2. - <_> - 6 14 4 3 2. - <_> - - <_> - 7 6 2 2 -1. - <_> - 7 6 1 1 2. - <_> - 8 7 1 1 2. - <_> - - <_> - 2 2 16 6 -1. - <_> - 10 2 8 3 2. - <_> - 2 5 8 3 2. - <_> - - <_> - 5 4 3 3 -1. - <_> - 5 5 3 1 3. - <_> - - <_> - 11 7 3 10 -1. - <_> - 11 12 3 5 2. - <_> - - <_> - 6 7 3 10 -1. - <_> - 6 12 3 5 2. - <_> - - <_> - 10 7 3 2 -1. - <_> - 11 7 1 2 3. - <_> - - <_> - 8 12 4 2 -1. - <_> - 8 13 4 1 2. - <_> - - <_> - 10 1 1 3 -1. - <_> - 10 2 1 1 3. - <_> - - <_> - 1 2 4 18 -1. - <_> - 1 2 2 9 2. - <_> - 3 11 2 9 2. - <_> - - <_> - 12 4 4 12 -1. - <_> - 12 10 4 6 2. - <_> - - <_> - 0 0 1 6 -1. - <_> - 0 2 1 2 3. - <_> - - <_> - 9 11 2 3 -1. - <_> - 9 12 2 1 3. - <_> - - <_> - 8 7 4 3 -1. - <_> - 8 8 4 1 3. - <_> - - <_> - 10 7 3 2 -1. - <_> - 11 7 1 2 3. - <_> - - <_> - 7 7 3 2 -1. - <_> - 8 7 1 2 3. - <_> - - <_> - 9 4 6 1 -1. - <_> - 11 4 2 1 3. - <_> - - <_> - 8 7 2 3 -1. - <_> - 9 7 1 3 2. - <_> - - <_> - 12 7 8 6 -1. - <_> - 16 7 4 3 2. - <_> - 12 10 4 3 2. - <_> - - <_> - 0 7 8 6 -1. - <_> - 0 7 4 3 2. - <_> - 4 10 4 3 2. - <_> - - <_> - 18 2 2 10 -1. - <_> - 19 2 1 5 2. - <_> - 18 7 1 5 2. - <_> - - <_> - 0 2 6 4 -1. - <_> - 3 2 3 4 2. - <_> - - <_> - 9 4 6 1 -1. - <_> - 11 4 2 1 3. - <_> - - <_> - 7 15 2 2 -1. - <_> - 7 15 1 1 2. - <_> - 8 16 1 1 2. - <_> - - <_> - 11 13 1 6 -1. - <_> - 11 16 1 3 2. - <_> - - <_> - 8 13 1 6 -1. - <_> - 8 16 1 3 2. - <_> - - <_> - 14 3 2 1 -1. - <_> - 14 3 1 1 2. - <_> - - <_> - 8 15 2 3 -1. - <_> - 8 16 2 1 3. - <_> - - <_> - 12 15 7 4 -1. - <_> - 12 17 7 2 2. - <_> - - <_> - 4 14 12 3 -1. - <_> - 4 15 12 1 3. - <_> - - <_> - 10 3 3 2 -1. - <_> - 11 3 1 2 3. - <_> - - <_> - 4 12 2 2 -1. - <_> - 4 13 2 1 2. - <_> - - <_> - 10 11 4 6 -1. - <_> - 10 14 4 3 2. - <_> - - <_> - 7 13 2 2 -1. - <_> - 7 13 1 1 2. - <_> - 8 14 1 1 2. - <_> - - <_> - 4 11 14 4 -1. - <_> - 11 11 7 2 2. - <_> - 4 13 7 2 2. - <_> - - <_> - 1 18 18 2 -1. - <_> - 7 18 6 2 3. - <_> - - <_> - 11 18 2 2 -1. - <_> - 12 18 1 1 2. - <_> - 11 19 1 1 2. - <_> - - <_> - 7 18 2 2 -1. - <_> - 7 18 1 1 2. - <_> - 8 19 1 1 2. - <_> - - <_> - 12 18 8 2 -1. - <_> - 12 19 8 1 2. - <_> - - <_> - 7 14 6 2 -1. - <_> - 7 15 6 1 2. - <_> - - <_> - 8 12 4 8 -1. - <_> - 10 12 2 4 2. - <_> - 8 16 2 4 2. - <_> - - <_> - 4 9 3 3 -1. - <_> - 4 10 3 1 3. - <_> - - <_> - 7 10 6 2 -1. - <_> - 9 10 2 2 3. - <_> - - <_> - 5 0 4 15 -1. - <_> - 7 0 2 15 2. - <_> - - <_> - 8 6 12 14 -1. - <_> - 12 6 4 14 3. - <_> - - <_> - 5 16 3 3 -1. - <_> - 5 17 3 1 3. - <_> - - <_> - 8 1 12 19 -1. - <_> - 12 1 4 19 3. - <_> - - <_> - 3 0 3 2 -1. - <_> - 3 1 3 1 2. - <_> - - <_> - 10 12 4 5 -1. - <_> - 10 12 2 5 2. - <_> - - <_> - 6 12 4 5 -1. - <_> - 8 12 2 5 2. - <_> - - <_> - 11 11 2 2 -1. - <_> - 12 11 1 1 2. - <_> - 11 12 1 1 2. - <_> - - <_> - 0 2 3 6 -1. - <_> - 0 4 3 2 3. - <_> - - <_> - 11 11 2 2 -1. - <_> - 12 11 1 1 2. - <_> - 11 12 1 1 2. - <_> - - <_> - 7 6 4 10 -1. - <_> - 7 11 4 5 2. - <_> - - <_> - 11 11 2 2 -1. - <_> - 12 11 1 1 2. - <_> - 11 12 1 1 2. - <_> - - <_> - 2 13 5 2 -1. - <_> - 2 14 5 1 2. - <_> - - <_> - 11 11 2 2 -1. - <_> - 12 11 1 1 2. - <_> - 11 12 1 1 2. - <_> - - <_> - 7 11 2 2 -1. - <_> - 7 11 1 1 2. - <_> - 8 12 1 1 2. - <_> - - <_> - 14 13 3 3 -1. - <_> - 14 14 3 1 3. - <_> - - <_> - 3 13 3 3 -1. - <_> - 3 14 3 1 3. - <_> - - <_> - 9 14 2 3 -1. - <_> - 9 15 2 1 3. - <_> - - <_> - 8 7 3 3 -1. - <_> - 8 8 3 1 3. - <_> - - <_> - 13 5 3 3 -1. - <_> - 13 6 3 1 3. - <_> - - <_> - 0 9 5 3 -1. - <_> - 0 10 5 1 3. - <_> - - <_> - 13 5 3 3 -1. - <_> - 13 6 3 1 3. - <_> - - <_> - 9 12 2 8 -1. - <_> - 9 12 1 4 2. - <_> - 10 16 1 4 2. - <_> - - <_> - 11 7 2 2 -1. - <_> - 12 7 1 1 2. - <_> - 11 8 1 1 2. - <_> - - <_> - 0 16 6 4 -1. - <_> - 3 16 3 4 2. - <_> - - <_> - 10 6 2 3 -1. - <_> - 10 7 2 1 3. - <_> - - <_> - 9 5 2 6 -1. - <_> - 9 7 2 2 3. - <_> - - <_> - 12 15 8 4 -1. - <_> - 12 15 4 4 2. - <_> - - <_> - 0 14 8 6 -1. - <_> - 4 14 4 6 2. - <_> - - <_> - 9 0 3 2 -1. - <_> - 10 0 1 2 3. - <_> - - <_> - 4 15 4 2 -1. - <_> - 6 15 2 2 2. - <_> - - <_> - 12 7 3 13 -1. - <_> - 13 7 1 13 3. - <_> - - <_> - 5 7 3 13 -1. - <_> - 6 7 1 13 3. - <_> - - <_> - 9 6 3 9 -1. - <_> - 9 9 3 3 3. - <_> - - <_> - 4 4 7 12 -1. - <_> - 4 10 7 6 2. - <_> - - <_> - 12 12 2 2 -1. - <_> - 13 12 1 1 2. - <_> - 12 13 1 1 2. - <_> - - <_> - 6 12 2 2 -1. - <_> - 6 12 1 1 2. - <_> - 7 13 1 1 2. - <_> - - <_> - 8 9 4 2 -1. - <_> - 10 9 2 1 2. - <_> - 8 10 2 1 2. - <_> - - <_> - 3 6 2 2 -1. - <_> - 3 6 1 1 2. - <_> - 4 7 1 1 2. - <_> - - <_> - 16 6 3 2 -1. - <_> - 16 7 3 1 2. - <_> - - <_> - 0 7 19 4 -1. - <_> - 0 9 19 2 2. - <_> - - <_> - 10 2 10 1 -1. - <_> - 10 2 5 1 2. - <_> - - <_> - 9 4 2 12 -1. - <_> - 9 10 2 6 2. - <_> - - <_> - 12 18 4 1 -1. - <_> - 12 18 2 1 2. - <_> - - <_> - 1 7 6 4 -1. - <_> - 1 7 3 2 2. - <_> - 4 9 3 2 2. - <_> - - <_> - 12 0 6 13 -1. - <_> - 14 0 2 13 3. - <_> - - <_> - 2 0 6 13 -1. - <_> - 4 0 2 13 3. - <_> - - <_> - 10 5 8 8 -1. - <_> - 10 9 8 4 2. - <_> - - <_> - 8 3 2 5 -1. - <_> - 9 3 1 5 2. - <_> - - <_> - 8 4 9 1 -1. - <_> - 11 4 3 1 3. - <_> - - <_> - 3 4 9 1 -1. - <_> - 6 4 3 1 3. - <_> - - <_> - 1 0 18 10 -1. - <_> - 7 0 6 10 3. - <_> - - <_> - 7 17 5 3 -1. - <_> - 7 18 5 1 3. - <_> - - <_> - 7 11 6 1 -1. - <_> - 9 11 2 1 3. - <_> - - <_> - 2 2 3 2 -1. - <_> - 2 3 3 1 2. - <_> - - <_> - 8 12 4 2 -1. - <_> - 8 13 4 1 2. - <_> - - <_> - 6 10 3 6 -1. - <_> - 6 13 3 3 2. - <_> - - <_> - 11 4 2 4 -1. - <_> - 11 4 1 4 2. - <_> - - <_> - 7 4 2 4 -1. - <_> - 8 4 1 4 2. - <_> - - <_> - 9 6 2 4 -1. - <_> - 9 6 1 4 2. - <_> - - <_> - 6 13 8 3 -1. - <_> - 6 14 8 1 3. - <_> - - <_> - 9 15 3 4 -1. - <_> - 10 15 1 4 3. - <_> - - <_> - 9 2 2 17 -1. - <_> - 10 2 1 17 2. - <_> - - <_> - 7 0 6 1 -1. - <_> - 9 0 2 1 3. - <_> - - <_> - 8 15 3 4 -1. - <_> - 9 15 1 4 3. - <_> - - <_> - 7 13 7 3 -1. - <_> - 7 14 7 1 3. - <_> - - <_> - 8 16 3 3 -1. - <_> - 9 16 1 3 3. - <_> - - <_> - 6 2 8 10 -1. - <_> - 6 7 8 5 2. - <_> - - <_> - 2 5 8 8 -1. - <_> - 2 9 8 4 2. - <_> - - <_> - 14 16 2 2 -1. - <_> - 14 17 2 1 2. - <_> - - <_> - 4 16 2 2 -1. - <_> - 4 17 2 1 2. - <_> - - <_> - 10 11 4 6 -1. - <_> - 10 14 4 3 2. - <_> - - <_> - 6 11 4 6 -1. - <_> - 6 14 4 3 2. - <_> - - <_> - 10 14 1 3 -1. - <_> - 10 15 1 1 3. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 10 0 4 6 -1. - <_> - 12 0 2 3 2. - <_> - 10 3 2 3 2. - <_> - - <_> - 0 3 20 2 -1. - <_> - 0 4 20 1 2. - <_> - - <_> - 12 0 8 2 -1. - <_> - 16 0 4 1 2. - <_> - 12 1 4 1 2. - <_> - - <_> - 2 12 10 8 -1. - <_> - 2 16 10 4 2. - <_> - - <_> - 17 7 2 10 -1. - <_> - 18 7 1 5 2. - <_> - 17 12 1 5 2. - <_> - - <_> - 1 7 2 10 -1. - <_> - 1 7 1 5 2. - <_> - 2 12 1 5 2. - <_> - - <_> - 15 10 3 6 -1. - <_> - 15 12 3 2 3. - <_> - - <_> - 4 4 6 2 -1. - <_> - 6 4 2 2 3. - <_> - - <_> - 0 5 20 6 -1. - <_> - 0 7 20 2 3. - <_> - - <_> - 0 0 8 2 -1. - <_> - 0 0 4 1 2. - <_> - 4 1 4 1 2. - <_> - - <_> - 1 0 18 4 -1. - <_> - 7 0 6 4 3. - <_> - - <_> - 1 13 6 2 -1. - <_> - 1 14 6 1 2. - <_> - - <_> - 10 8 3 4 -1. - <_> - 11 8 1 4 3. - <_> - - <_> - 6 1 6 1 -1. - <_> - 8 1 2 1 3. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 1 6 18 2 -1. - <_> - 10 6 9 2 2. - <_> - - <_> - 15 11 1 2 -1. - <_> - 15 12 1 1 2. - <_> - - <_> - 6 5 1 2 -1. - <_> - 6 6 1 1 2. - <_> - - <_> - 13 4 1 3 -1. - <_> - 13 5 1 1 3. - <_> - - <_> - 2 15 1 2 -1. - <_> - 2 16 1 1 2. - <_> - - <_> - 12 4 4 3 -1. - <_> - 12 5 4 1 3. - <_> - - <_> - 0 0 7 3 -1. - <_> - 0 1 7 1 3. - <_> - - <_> - 9 12 6 2 -1. - <_> - 9 12 3 2 2. - <_> - - <_> - 5 4 2 3 -1. - <_> - 5 5 2 1 3. - <_> - - <_> - 18 4 2 3 -1. - <_> - 18 5 2 1 3. - <_> - - <_> - 3 0 8 6 -1. - <_> - 3 2 8 2 3. - <_> - - <_> - 0 2 20 6 -1. - <_> - 10 2 10 3 2. - <_> - 0 5 10 3 2. - <_> - - <_> - 4 7 2 4 -1. - <_> - 5 7 1 4 2. - <_> - - <_> - 3 10 15 2 -1. - <_> - 8 10 5 2 3. - <_> - - <_> - 3 0 12 11 -1. - <_> - 9 0 6 11 2. - <_> - - <_> - 13 0 2 6 -1. - <_> - 13 0 1 6 2. - <_> - - <_> - 0 19 2 1 -1. - <_> - 1 19 1 1 2. - <_> - - <_> - 16 10 4 10 -1. - <_> - 18 10 2 5 2. - <_> - 16 15 2 5 2. - <_> - - <_> - 4 8 10 3 -1. - <_> - 4 9 10 1 3. - <_> - - <_> - 14 12 3 3 -1. - <_> - 14 13 3 1 3. - <_> - - <_> - 0 10 4 10 -1. - <_> - 0 10 2 5 2. - <_> - 2 15 2 5 2. - <_> - - <_> - 18 3 2 6 -1. - <_> - 18 5 2 2 3. - <_> - - <_> - 6 6 1 3 -1. - <_> - 6 7 1 1 3. - <_> - - <_> - 7 7 7 2 -1. - <_> - 7 8 7 1 2. - <_> - - <_> - 0 3 2 6 -1. - <_> - 0 5 2 2 3. - <_> - - <_> - 11 1 3 1 -1. - <_> - 12 1 1 1 3. - <_> - - <_> - 5 0 2 6 -1. - <_> - 6 0 1 6 2. - <_> - - <_> - 1 1 18 14 -1. - <_> - 7 1 6 14 3. - <_> - - <_> - 4 6 8 3 -1. - <_> - 8 6 4 3 2. - <_> - - <_> - 9 12 6 2 -1. - <_> - 9 12 3 2 2. - <_> - - <_> - 5 12 6 2 -1. - <_> - 8 12 3 2 2. - <_> - - <_> - 10 7 3 5 -1. - <_> - 11 7 1 5 3. - <_> - - <_> - 7 7 3 5 -1. - <_> - 8 7 1 5 3. - <_> - - <_> - 13 0 3 10 -1. - <_> - 14 0 1 10 3. - <_> - - <_> - 4 11 3 2 -1. - <_> - 4 12 3 1 2. - <_> - - <_> - 17 3 3 6 -1. - <_> - 18 3 1 6 3. - <_> - - <_> - 1 8 18 10 -1. - <_> - 1 13 18 5 2. - <_> - - <_> - 13 0 3 10 -1. - <_> - 14 0 1 10 3. - <_> - - <_> - 9 14 2 3 -1. - <_> - 9 15 2 1 3. - <_> - - <_> - 16 3 3 7 -1. - <_> - 17 3 1 7 3. - <_> - - <_> - 4 0 3 10 -1. - <_> - 5 0 1 10 3. - <_> - - <_> - 16 3 3 7 -1. - <_> - 17 3 1 7 3. - <_> - - <_> - 0 9 1 2 -1. - <_> - 0 10 1 1 2. - <_> - - <_> - 18 1 2 10 -1. - <_> - 18 1 1 10 2. - <_> - - <_> - 0 1 2 10 -1. - <_> - 1 1 1 10 2. - <_> - - <_> - 10 16 3 4 -1. - <_> - 11 16 1 4 3. - <_> - - <_> - 2 8 3 3 -1. - <_> - 3 8 1 3 3. - <_> - - <_> - 11 0 2 6 -1. - <_> - 12 0 1 3 2. - <_> - 11 3 1 3 2. - <_> - - <_> - 7 0 2 6 -1. - <_> - 7 0 1 3 2. - <_> - 8 3 1 3 2. - <_> - - <_> - 16 3 3 7 -1. - <_> - 17 3 1 7 3. - <_> - - <_> - 1 3 3 7 -1. - <_> - 2 3 1 7 3. - <_> - - <_> - 14 1 6 16 -1. - <_> - 16 1 2 16 3. - <_> - - <_> - 0 1 6 16 -1. - <_> - 2 1 2 16 3. - <_> - - <_> - 2 0 16 8 -1. - <_> - 10 0 8 4 2. - <_> - 2 4 8 4 2. - <_> - - <_> - 6 8 5 3 -1. - <_> - 6 9 5 1 3. - <_> - - <_> - 9 7 3 3 -1. - <_> - 10 7 1 3 3. - <_> - - <_> - 8 8 4 3 -1. - <_> - 8 9 4 1 3. - <_> - - <_> - 9 6 2 4 -1. - <_> - 9 6 1 4 2. - <_> - - <_> - 0 7 15 1 -1. - <_> - 5 7 5 1 3. - <_> - - <_> - 8 2 7 9 -1. - <_> - 8 5 7 3 3. - <_> - - <_> - 1 7 16 4 -1. - <_> - 1 7 8 2 2. - <_> - 9 9 8 2 2. - <_> - - <_> - 6 12 8 2 -1. - <_> - 6 13 8 1 2. - <_> - - <_> - 8 11 3 3 -1. - <_> - 8 12 3 1 3. - <_> - - <_> - 4 5 14 10 -1. - <_> - 11 5 7 5 2. - <_> - 4 10 7 5 2. - <_> - - <_> - 4 12 3 2 -1. - <_> - 4 13 3 1 2. - <_> - - <_> - 9 11 6 1 -1. - <_> - 11 11 2 1 3. - <_> - - <_> - 4 9 7 6 -1. - <_> - 4 11 7 2 3. - <_> - - <_> - 7 10 6 3 -1. - <_> - 7 11 6 1 3. - <_> - - <_> - 9 11 2 2 -1. - <_> - 9 12 2 1 2. - <_> - - <_> - 0 5 20 6 -1. - <_> - 0 7 20 2 3. - <_> - - <_> - 6 4 6 1 -1. - <_> - 8 4 2 1 3. - <_> - - <_> - 9 11 6 1 -1. - <_> - 11 11 2 1 3. - <_> - - <_> - 5 11 6 1 -1. - <_> - 7 11 2 1 3. - <_> - - <_> - 10 16 3 4 -1. - <_> - 11 16 1 4 3. - <_> - - <_> - 8 7 3 3 -1. - <_> - 9 7 1 3 3. - <_> - - <_> - 2 12 16 8 -1. - <_> - 2 16 16 4 2. - <_> - - <_> - 0 15 15 2 -1. - <_> - 0 16 15 1 2. - <_> - - <_> - 15 4 5 6 -1. - <_> - 15 6 5 2 3. - <_> - - <_> - 9 5 2 4 -1. - <_> - 10 5 1 4 2. - <_> - - <_> - 8 10 9 6 -1. - <_> - 8 12 9 2 3. - <_> - - <_> - 2 19 15 1 -1. - <_> - 7 19 5 1 3. - <_> - - <_> - 10 16 3 4 -1. - <_> - 11 16 1 4 3. - <_> - - <_> - 0 15 20 4 -1. - <_> - 0 17 20 2 2. - <_> - - <_> - 10 16 3 4 -1. - <_> - 11 16 1 4 3. - <_> - - <_> - 7 16 3 4 -1. - <_> - 8 16 1 4 3. - <_> - - <_> - 9 16 3 3 -1. - <_> - 9 17 3 1 3. - <_> - - <_> - 8 11 4 6 -1. - <_> - 8 14 4 3 2. - <_> - - <_> - 9 6 2 12 -1. - <_> - 9 10 2 4 3. - <_> - - <_> - 8 17 4 3 -1. - <_> - 8 18 4 1 3. - <_> - - <_> - 9 18 8 2 -1. - <_> - 13 18 4 1 2. - <_> - 9 19 4 1 2. - <_> - - <_> - 1 18 8 2 -1. - <_> - 1 19 8 1 2. - <_> - - <_> - 13 5 6 15 -1. - <_> - 15 5 2 15 3. - <_> - - <_> - 9 8 2 2 -1. - <_> - 9 9 2 1 2. - <_> - - <_> - 9 5 2 3 -1. - <_> - 9 5 1 3 2. - <_> - - <_> - 1 5 6 15 -1. - <_> - 3 5 2 15 3. - <_> - - <_> - 4 1 14 8 -1. - <_> - 11 1 7 4 2. - <_> - 4 5 7 4 2. - <_> - - <_> - 2 4 4 16 -1. - <_> - 2 4 2 8 2. - <_> - 4 12 2 8 2. - <_> - - <_> - 12 4 3 12 -1. - <_> - 12 10 3 6 2. - <_> - - <_> - 4 5 10 12 -1. - <_> - 4 5 5 6 2. - <_> - 9 11 5 6 2. - <_> - - <_> - 9 14 2 3 -1. - <_> - 9 15 2 1 3. - <_> - - <_> - 5 4 2 3 -1. - <_> - 5 5 2 1 3. - <_> - - <_> - 12 2 4 10 -1. - <_> - 14 2 2 5 2. - <_> - 12 7 2 5 2. - <_> - - <_> - 6 4 7 3 -1. - <_> - 6 5 7 1 3. - <_> - - <_> - 2 0 18 2 -1. - <_> - 11 0 9 1 2. - <_> - 2 1 9 1 2. - <_> - - <_> - 0 0 18 2 -1. - <_> - 0 0 9 1 2. - <_> - 9 1 9 1 2. - <_> - - <_> - 13 13 4 6 -1. - <_> - 15 13 2 3 2. - <_> - 13 16 2 3 2. - <_> - - <_> - 3 13 4 6 -1. - <_> - 3 13 2 3 2. - <_> - 5 16 2 3 2. - <_> - - <_> - 10 12 2 6 -1. - <_> - 10 15 2 3 2. - <_> - - <_> - 5 9 10 10 -1. - <_> - 5 9 5 5 2. - <_> - 10 14 5 5 2. - <_> - - <_> - 11 4 4 2 -1. - <_> - 13 4 2 1 2. - <_> - 11 5 2 1 2. - <_> - - <_> - 7 12 6 8 -1. - <_> - 10 12 3 8 2. - <_> - - <_> - 12 2 4 10 -1. - <_> - 14 2 2 5 2. - <_> - 12 7 2 5 2. - <_> - - <_> - 8 11 2 1 -1. - <_> - 9 11 1 1 2. - <_> - - <_> - 10 5 1 12 -1. - <_> - 10 9 1 4 3. - <_> - - <_> - 0 11 6 9 -1. - <_> - 3 11 3 9 2. - <_> - - <_> - 12 2 4 10 -1. - <_> - 14 2 2 5 2. - <_> - 12 7 2 5 2. - <_> - - <_> - 4 2 4 10 -1. - <_> - 4 2 2 5 2. - <_> - 6 7 2 5 2. - <_> - - <_> - 11 4 4 2 -1. - <_> - 13 4 2 1 2. - <_> - 11 5 2 1 2. - <_> - - <_> - 0 14 6 3 -1. - <_> - 0 15 6 1 3. - <_> - - <_> - 11 4 4 2 -1. - <_> - 13 4 2 1 2. - <_> - 11 5 2 1 2. - <_> - - <_> - 6 1 3 2 -1. - <_> - 7 1 1 2 3. - <_> - - <_> - 11 4 4 2 -1. - <_> - 13 4 2 1 2. - <_> - 11 5 2 1 2. - <_> - - <_> - 5 4 4 2 -1. - <_> - 5 4 2 1 2. - <_> - 7 5 2 1 2. - <_> - - <_> - 13 0 2 12 -1. - <_> - 14 0 1 6 2. - <_> - 13 6 1 6 2. - <_> - - <_> - 6 0 3 10 -1. - <_> - 7 0 1 10 3. - <_> - - <_> - 3 0 17 8 -1. - <_> - 3 4 17 4 2. - <_> - - <_> - 0 4 20 4 -1. - <_> - 0 6 20 2 2. - <_> - - <_> - 0 3 8 2 -1. - <_> - 4 3 4 2 2. - <_> - - <_> - 8 11 4 3 -1. - <_> - 8 12 4 1 3. - <_> - - <_> - 5 7 6 4 -1. - <_> - 5 7 3 2 2. - <_> - 8 9 3 2 2. - <_> - - <_> - 8 3 4 9 -1. - <_> - 8 6 4 3 3. - <_> - - <_> - 8 15 1 4 -1. - <_> - 8 17 1 2 2. - <_> - - <_> - 4 5 12 7 -1. - <_> - 8 5 4 7 3. - <_> - - <_> - 4 2 4 10 -1. - <_> - 4 2 2 5 2. - <_> - 6 7 2 5 2. - <_> - - <_> - 3 0 17 2 -1. - <_> - 3 1 17 1 2. - <_> - - <_> - 2 2 16 15 -1. - <_> - 2 7 16 5 3. - <_> - - <_> - 15 2 5 2 -1. - <_> - 15 3 5 1 2. - <_> - - <_> - 9 3 2 2 -1. - <_> - 10 3 1 2 2. - <_> - - <_> - 4 5 16 15 -1. - <_> - 4 10 16 5 3. - <_> - - <_> - 7 13 5 6 -1. - <_> - 7 16 5 3 2. - <_> - - <_> - 10 7 3 2 -1. - <_> - 11 7 1 2 3. - <_> - - <_> - 8 3 3 1 -1. - <_> - 9 3 1 1 3. - <_> - - <_> - 9 16 3 3 -1. - <_> - 9 17 3 1 3. - <_> - - <_> - 0 2 5 2 -1. - <_> - 0 3 5 1 2. - <_> - - <_> - 12 5 4 3 -1. - <_> - 12 6 4 1 3. - <_> - - <_> - 1 7 12 1 -1. - <_> - 5 7 4 1 3. - <_> - - <_> - 7 5 6 14 -1. - <_> - 7 12 6 7 2. - <_> - - <_> - 0 0 8 10 -1. - <_> - 0 0 4 5 2. - <_> - 4 5 4 5 2. - <_> - - <_> - 9 1 3 2 -1. - <_> - 10 1 1 2 3. - <_> - - <_> - 8 1 3 2 -1. - <_> - 9 1 1 2 3. - <_> - - <_> - 12 4 3 3 -1. - <_> - 12 5 3 1 3. - <_> - - <_> - 7 4 6 16 -1. - <_> - 7 12 6 8 2. - <_> - - <_> - 12 4 3 3 -1. - <_> - 12 5 3 1 3. - <_> - - <_> - 2 3 2 6 -1. - <_> - 2 5 2 2 3. - <_> - - <_> - 14 2 6 9 -1. - <_> - 14 5 6 3 3. - <_> - - <_> - 5 4 3 3 -1. - <_> - 5 5 3 1 3. - <_> - - <_> - 9 17 3 2 -1. - <_> - 10 17 1 2 3. - <_> - - <_> - 5 5 2 3 -1. - <_> - 5 6 2 1 3. - <_> - - <_> - 13 11 3 6 -1. - <_> - 13 13 3 2 3. - <_> - - <_> - 3 14 2 6 -1. - <_> - 3 17 2 3 2. - <_> - - <_> - 14 3 6 2 -1. - <_> - 14 4 6 1 2. - <_> - - <_> - 0 8 16 2 -1. - <_> - 0 9 16 1 2. - <_> - - <_> - 14 3 6 2 -1. - <_> - 14 4 6 1 2. - <_> - - <_> - 0 0 5 6 -1. - <_> - 0 2 5 2 3. - <_> - - <_> - 12 5 4 3 -1. - <_> - 12 6 4 1 3. - <_> - - <_> - 4 11 3 6 -1. - <_> - 4 13 3 2 3. - <_> - - <_> - 12 5 4 3 -1. - <_> - 12 6 4 1 3. - <_> - - <_> - 9 5 1 3 -1. - <_> - 9 6 1 1 3. - <_> - - <_> - 12 5 4 3 -1. - <_> - 12 6 4 1 3. - <_> - - <_> - 6 6 8 12 -1. - <_> - 6 12 8 6 2. - <_> - - <_> - 12 5 4 3 -1. - <_> - 12 6 4 1 3. - <_> - - <_> - 5 12 9 2 -1. - <_> - 8 12 3 2 3. - <_> - - <_> - 12 5 4 3 -1. - <_> - 12 6 4 1 3. - <_> - - <_> - 4 5 4 3 -1. - <_> - 4 6 4 1 3. - <_> - - <_> - 6 6 9 2 -1. - <_> - 9 6 3 2 3. - <_> - - <_> - 4 11 1 3 -1. - <_> - 4 12 1 1 3. - <_> - - <_> - 14 12 6 6 -1. - <_> - 14 12 3 6 2. - <_> - - <_> - 7 0 3 7 -1. - <_> - 8 0 1 7 3. - <_> - - <_> - 9 8 3 3 -1. - <_> - 10 8 1 3 3. - <_> - - <_> - 8 8 3 3 -1. - <_> - 9 8 1 3 3. - <_> - - <_> - 5 10 11 3 -1. - <_> - 5 11 11 1 3. - <_> - - <_> - 5 7 10 1 -1. - <_> - 10 7 5 1 2. - <_> - - <_> - 9 7 3 2 -1. - <_> - 10 7 1 2 3. - <_> - - <_> - 8 7 3 2 -1. - <_> - 9 7 1 2 3. - <_> - - <_> - 11 9 4 2 -1. - <_> - 11 9 2 2 2. - <_> - - <_> - 5 9 4 2 -1. - <_> - 7 9 2 2 2. - <_> - - <_> - 14 10 2 4 -1. - <_> - 14 12 2 2 2. - <_> - - <_> - 7 7 3 2 -1. - <_> - 8 7 1 2 3. - <_> - - <_> - 14 17 6 3 -1. - <_> - 14 18 6 1 3. - <_> - - <_> - 4 5 12 12 -1. - <_> - 4 5 6 6 2. - <_> - 10 11 6 6 2. - <_> - - <_> - 6 9 8 8 -1. - <_> - 10 9 4 4 2. - <_> - 6 13 4 4 2. - <_> - - <_> - 0 4 15 4 -1. - <_> - 5 4 5 4 3. - <_> - - <_> - 13 2 4 1 -1. - <_> - 13 2 2 1 2. - <_> - - <_> - 4 12 2 2 -1. - <_> - 4 13 2 1 2. - <_> - - <_> - 8 13 4 3 -1. - <_> - 8 14 4 1 3. - <_> - - <_> - 9 13 2 3 -1. - <_> - 9 14 2 1 3. - <_> - - <_> - 13 11 2 3 -1. - <_> - 13 12 2 1 3. - <_> - - <_> - 7 12 4 4 -1. - <_> - 7 12 2 2 2. - <_> - 9 14 2 2 2. - <_> - - <_> - 10 11 2 2 -1. - <_> - 11 11 1 1 2. - <_> - 10 12 1 1 2. - <_> - - <_> - 8 17 3 2 -1. - <_> - 9 17 1 2 3. - <_> - - <_> - 10 11 2 2 -1. - <_> - 11 11 1 1 2. - <_> - 10 12 1 1 2. - <_> - - <_> - 0 17 6 3 -1. - <_> - 0 18 6 1 3. - <_> - - <_> - 10 11 2 2 -1. - <_> - 11 11 1 1 2. - <_> - 10 12 1 1 2. - <_> - - <_> - 8 11 2 2 -1. - <_> - 8 11 1 1 2. - <_> - 9 12 1 1 2. - <_> - - <_> - 12 5 8 4 -1. - <_> - 12 5 4 4 2. - <_> - - <_> - 0 5 8 4 -1. - <_> - 4 5 4 4 2. - <_> - - <_> - 13 2 4 1 -1. - <_> - 13 2 2 1 2. - <_> - - <_> - 3 2 4 1 -1. - <_> - 5 2 2 1 2. - <_> - - <_> - 10 0 4 2 -1. - <_> - 12 0 2 1 2. - <_> - 10 1 2 1 2. - <_> - - <_> - 7 12 3 1 -1. - <_> - 8 12 1 1 3. - <_> - - <_> - 8 11 4 8 -1. - <_> - 10 11 2 4 2. - <_> - 8 15 2 4 2. - <_> - - <_> - 9 9 2 2 -1. - <_> - 9 10 2 1 2. - <_> - - <_> - 3 18 15 2 -1. - <_> - 3 19 15 1 2. - <_> - - <_> - 2 6 2 12 -1. - <_> - 2 6 1 6 2. - <_> - 3 12 1 6 2. - <_> - - <_> - 9 8 2 3 -1. - <_> - 9 9 2 1 3. - <_> - - <_> - 7 10 3 2 -1. - <_> - 8 10 1 2 3. - <_> - - <_> - 11 11 3 1 -1. - <_> - 12 11 1 1 3. - <_> - - <_> - 6 11 3 1 -1. - <_> - 7 11 1 1 3. - <_> - - <_> - 9 2 4 2 -1. - <_> - 11 2 2 1 2. - <_> - 9 3 2 1 2. - <_> - - <_> - 4 12 2 3 -1. - <_> - 4 13 2 1 3. - <_> - - <_> - 2 1 18 3 -1. - <_> - 8 1 6 3 3. - <_> - - <_> - 5 1 4 14 -1. - <_> - 7 1 2 14 2. - <_> - - <_> - 8 16 12 3 -1. - <_> - 8 16 6 3 2. - <_> - - <_> - 1 17 18 3 -1. - <_> - 7 17 6 3 3. - <_> - - <_> - 9 14 2 6 -1. - <_> - 9 17 2 3 2. - <_> - - <_> - 9 12 1 8 -1. - <_> - 9 16 1 4 2. - <_> - - <_> - 9 14 2 3 -1. - <_> - 9 15 2 1 3. - <_> - - <_> - 9 6 2 12 -1. - <_> - 9 10 2 4 3. - <_> - - <_> - 12 9 3 3 -1. - <_> - 12 10 3 1 3. - <_> - - <_> - 0 1 4 8 -1. - <_> - 2 1 2 8 2. - <_> - - <_> - 9 1 6 2 -1. - <_> - 12 1 3 1 2. - <_> - 9 2 3 1 2. - <_> - - <_> - 1 3 12 14 -1. - <_> - 1 10 12 7 2. - <_> - - <_> - 8 12 4 2 -1. - <_> - 10 12 2 1 2. - <_> - 8 13 2 1 2. - <_> - - <_> - 1 9 10 2 -1. - <_> - 1 9 5 1 2. - <_> - 6 10 5 1 2. - <_> - - <_> - 8 15 4 3 -1. - <_> - 8 16 4 1 3. - <_> - - <_> - 6 8 8 3 -1. - <_> - 6 9 8 1 3. - <_> - - <_> - 9 15 5 3 -1. - <_> - 9 16 5 1 3. - <_> - - <_> - 8 7 4 3 -1. - <_> - 8 8 4 1 3. - <_> - - <_> - 7 7 6 2 -1. - <_> - 7 8 6 1 2. - <_> - - <_> - 5 7 8 2 -1. - <_> - 5 7 4 1 2. - <_> - 9 8 4 1 2. - <_> - - <_> - 12 9 3 3 -1. - <_> - 12 10 3 1 3. - <_> - - <_> - 4 7 4 2 -1. - <_> - 4 8 4 1 2. - <_> - - <_> - 14 2 6 9 -1. - <_> - 14 5 6 3 3. - <_> - - <_> - 4 9 3 3 -1. - <_> - 5 9 1 3 3. - <_> - - <_> - 12 9 3 3 -1. - <_> - 12 10 3 1 3. - <_> - - <_> - 0 2 6 9 -1. - <_> - 0 5 6 3 3. - <_> - - <_> - 17 3 3 6 -1. - <_> - 18 3 1 6 3. - <_> - - <_> - 0 3 3 6 -1. - <_> - 1 3 1 6 3. - <_> - - <_> - 17 14 1 2 -1. - <_> - 17 15 1 1 2. - <_> - - <_> - 4 9 4 3 -1. - <_> - 6 9 2 3 2. - <_> - - <_> - 12 9 3 3 -1. - <_> - 12 10 3 1 3. - <_> - - <_> - 5 9 3 3 -1. - <_> - 5 10 3 1 3. - <_> - - <_> - 9 5 6 8 -1. - <_> - 12 5 3 4 2. - <_> - 9 9 3 4 2. - <_> - - <_> - 5 5 6 8 -1. - <_> - 5 5 3 4 2. - <_> - 8 9 3 4 2. - <_> - - <_> - 16 1 4 6 -1. - <_> - 16 4 4 3 2. - <_> - - <_> - 1 0 6 20 -1. - <_> - 3 0 2 20 3. - <_> - - <_> - 12 11 3 2 -1. - <_> - 13 11 1 2 3. - <_> - - <_> - 5 11 3 2 -1. - <_> - 6 11 1 2 3. - <_> - - <_> - 9 4 6 1 -1. - <_> - 11 4 2 1 3. - <_> - - <_> - 0 0 8 3 -1. - <_> - 4 0 4 3 2. - <_> - - <_> - 15 0 2 5 -1. - <_> - 15 0 1 5 2. - <_> - - <_> - 4 1 3 2 -1. - <_> - 5 1 1 2 3. - <_> - - <_> - 7 0 6 15 -1. - <_> - 9 0 2 15 3. - <_> - - <_> - 6 11 3 1 -1. - <_> - 7 11 1 1 3. - <_> - - <_> - 12 0 3 4 -1. - <_> - 13 0 1 4 3. - <_> - - <_> - 5 4 6 1 -1. - <_> - 7 4 2 1 3. - <_> - - <_> - 12 7 3 2 -1. - <_> - 12 8 3 1 2. - <_> - - <_> - 0 1 4 6 -1. - <_> - 0 4 4 3 2. - <_> - - <_> - 12 7 3 2 -1. - <_> - 12 8 3 1 2. - <_> - - <_> - 2 16 3 3 -1. - <_> - 2 17 3 1 3. - <_> - - <_> - 13 8 6 10 -1. - <_> - 16 8 3 5 2. - <_> - 13 13 3 5 2. - <_> - - <_> - 0 9 5 2 -1. - <_> - 0 10 5 1 2. - <_> - - <_> - 12 11 2 2 -1. - <_> - 13 11 1 1 2. - <_> - 12 12 1 1 2. - <_> - - <_> - 3 15 3 3 -1. - <_> - 3 16 3 1 3. - <_> - - <_> - 12 7 3 2 -1. - <_> - 12 8 3 1 2. - <_> - - <_> - 5 7 3 2 -1. - <_> - 5 8 3 1 2. - <_> - - <_> - 9 5 9 9 -1. - <_> - 9 8 9 3 3. - <_> - - <_> - 5 0 3 7 -1. - <_> - 6 0 1 7 3. - <_> - - <_> - 5 2 12 5 -1. - <_> - 9 2 4 5 3. - <_> - - <_> - 6 11 2 2 -1. - <_> - 6 11 1 1 2. - <_> - 7 12 1 1 2. - <_> - - <_> - 15 15 3 2 -1. - <_> - 15 16 3 1 2. - <_> - - <_> - 2 15 3 2 -1. - <_> - 2 16 3 1 2. - <_> - - <_> - 14 12 6 8 -1. - <_> - 17 12 3 4 2. - <_> - 14 16 3 4 2. - <_> - - <_> - 2 8 15 6 -1. - <_> - 7 8 5 6 3. - <_> - - <_> - 2 2 18 17 -1. - <_> - 8 2 6 17 3. - <_> - - <_> - 5 1 4 1 -1. - <_> - 7 1 2 1 2. - <_> - - <_> - 5 2 12 5 -1. - <_> - 9 2 4 5 3. - <_> - - <_> - 3 2 12 5 -1. - <_> - 7 2 4 5 3. - <_> - - <_> - 4 9 12 4 -1. - <_> - 10 9 6 2 2. - <_> - 4 11 6 2 2. - <_> - - <_> - 5 15 6 2 -1. - <_> - 5 15 3 1 2. - <_> - 8 16 3 1 2. - <_> - - <_> - 10 14 2 3 -1. - <_> - 10 15 2 1 3. - <_> - - <_> - 0 13 20 2 -1. - <_> - 0 13 10 1 2. - <_> - 10 14 10 1 2. - <_> - - <_> - 4 9 12 8 -1. - <_> - 10 9 6 4 2. - <_> - 4 13 6 4 2. - <_> - - <_> - 8 13 3 6 -1. - <_> - 8 16 3 3 2. - <_> - - <_> - 10 12 2 2 -1. - <_> - 10 13 2 1 2. - <_> - - <_> - 9 12 2 2 -1. - <_> - 9 12 1 1 2. - <_> - 10 13 1 1 2. - <_> - - <_> - 4 11 14 4 -1. - <_> - 11 11 7 2 2. - <_> - 4 13 7 2 2. - <_> - - <_> - 8 5 4 2 -1. - <_> - 8 6 4 1 2. - <_> - - <_> - 10 10 6 3 -1. - <_> - 12 10 2 3 3. - <_> - - <_> - 2 14 1 2 -1. - <_> - 2 15 1 1 2. - <_> - - <_> - 13 8 6 12 -1. - <_> - 16 8 3 6 2. - <_> - 13 14 3 6 2. - <_> - - <_> - 1 8 6 12 -1. - <_> - 1 8 3 6 2. - <_> - 4 14 3 6 2. - <_> - - <_> - 10 0 6 10 -1. - <_> - 12 0 2 10 3. - <_> - - <_> - 5 11 8 4 -1. - <_> - 5 11 4 2 2. - <_> - 9 13 4 2 2. - <_> - - <_> - 10 16 8 4 -1. - <_> - 14 16 4 2 2. - <_> - 10 18 4 2 2. - <_> - - <_> - 7 7 6 6 -1. - <_> - 9 7 2 6 3. - <_> - - <_> - 10 2 4 10 -1. - <_> - 10 2 2 10 2. - <_> - - <_> - 6 1 4 9 -1. - <_> - 8 1 2 9 2. - <_> - - <_> - 12 19 2 1 -1. - <_> - 12 19 1 1 2. - <_> - - <_> - 1 2 4 9 -1. - <_> - 3 2 2 9 2. - <_> - - <_> - 7 5 6 4 -1. - <_> - 9 5 2 4 3. - <_> - - <_> - 9 4 2 4 -1. - <_> - 9 6 2 2 2. - <_> - - <_> - 14 5 2 8 -1. - <_> - 14 9 2 4 2. - <_> - - <_> - 7 6 5 12 -1. - <_> - 7 12 5 6 2. - <_> - - <_> - 14 6 2 6 -1. - <_> - 14 9 2 3 2. - <_> - - <_> - 4 6 2 6 -1. - <_> - 4 9 2 3 2. - <_> - - <_> - 8 15 10 4 -1. - <_> - 13 15 5 2 2. - <_> - 8 17 5 2 2. - <_> - - <_> - 6 18 2 2 -1. - <_> - 7 18 1 2 2. - <_> - - <_> - 11 3 6 2 -1. - <_> - 11 4 6 1 2. - <_> - - <_> - 2 0 16 6 -1. - <_> - 2 2 16 2 3. - <_> - - <_> - 11 3 6 2 -1. - <_> - 11 4 6 1 2. - <_> - - <_> - 4 11 10 3 -1. - <_> - 4 12 10 1 3. - <_> - - <_> - 11 3 6 2 -1. - <_> - 11 4 6 1 2. - <_> - - <_> - 3 3 6 2 -1. - <_> - 3 4 6 1 2. - <_> - - <_> - 16 0 4 7 -1. - <_> - 16 0 2 7 2. - <_> - - <_> - 0 14 9 6 -1. - <_> - 0 16 9 2 3. - <_> - - <_> - 9 16 3 3 -1. - <_> - 9 17 3 1 3. - <_> - - <_> - 4 6 6 2 -1. - <_> - 6 6 2 2 3. - <_> - - <_> - 15 11 1 3 -1. - <_> - 15 12 1 1 3. - <_> - - <_> - 5 5 2 3 -1. - <_> - 5 6 2 1 3. - <_> - - <_> - 10 9 2 2 -1. - <_> - 10 10 2 1 2. - <_> - - <_> - 3 1 4 3 -1. - <_> - 5 1 2 3 2. - <_> - - <_> - 16 0 4 7 -1. - <_> - 16 0 2 7 2. - <_> - - <_> - 0 0 20 1 -1. - <_> - 10 0 10 1 2. - <_> - - <_> - 15 11 1 3 -1. - <_> - 15 12 1 1 3. - <_> - - <_> - 0 4 3 4 -1. - <_> - 1 4 1 4 3. - <_> - - <_> - 16 3 3 6 -1. - <_> - 16 5 3 2 3. - <_> - - <_> - 1 3 3 6 -1. - <_> - 1 5 3 2 3. - <_> - - <_> - 6 2 12 6 -1. - <_> - 12 2 6 3 2. - <_> - 6 5 6 3 2. - <_> - - <_> - 8 10 4 3 -1. - <_> - 8 11 4 1 3. - <_> - - <_> - 4 2 14 6 -1. - <_> - 11 2 7 3 2. - <_> - 4 5 7 3 2. - <_> - - <_> - 9 11 2 3 -1. - <_> - 9 12 2 1 3. - <_> - - <_> - 15 13 2 3 -1. - <_> - 15 14 2 1 3. - <_> - - <_> - 8 12 4 3 -1. - <_> - 8 13 4 1 3. - <_> - - <_> - 15 11 1 3 -1. - <_> - 15 12 1 1 3. - <_> - - <_> - 7 13 5 2 -1. - <_> - 7 14 5 1 2. - <_> - - <_> - 7 12 6 3 -1. - <_> - 7 13 6 1 3. - <_> - - <_> - 5 11 4 4 -1. - <_> - 5 13 4 2 2. - <_> - - <_> - 11 4 3 3 -1. - <_> - 12 4 1 3 3. - <_> - - <_> - 6 4 3 3 -1. - <_> - 7 4 1 3 3. - <_> - - <_> - 16 5 3 6 -1. - <_> - 17 5 1 6 3. - <_> - - <_> - 3 6 12 7 -1. - <_> - 7 6 4 7 3. - <_> - - <_> - 16 5 3 6 -1. - <_> - 17 5 1 6 3. - <_> - - <_> - 3 13 2 3 -1. - <_> - 3 14 2 1 3. - <_> - - <_> - 16 5 3 6 -1. - <_> - 17 5 1 6 3. - <_> - - <_> - 1 5 3 6 -1. - <_> - 2 5 1 6 3. - <_> - - <_> - 1 9 18 1 -1. - <_> - 7 9 6 1 3. - <_> - - <_> - 0 9 8 7 -1. - <_> - 4 9 4 7 2. - <_> - - <_> - 12 11 8 2 -1. - <_> - 12 12 8 1 2. - <_> - - <_> - 0 11 8 2 -1. - <_> - 0 12 8 1 2. - <_> - - <_> - 9 13 2 3 -1. - <_> - 9 14 2 1 3. - <_> - - <_> - 4 10 12 4 -1. - <_> - 4 10 6 2 2. - <_> - 10 12 6 2 2. - <_> - - <_> - 9 3 3 7 -1. - <_> - 10 3 1 7 3. - <_> - - <_> - 7 2 3 5 -1. - <_> - 8 2 1 5 3. - <_> - - <_> - 9 12 4 6 -1. - <_> - 11 12 2 3 2. - <_> - 9 15 2 3 2. - <_> - - <_> - 8 7 3 6 -1. - <_> - 9 7 1 6 3. - <_> - - <_> - 15 4 4 2 -1. - <_> - 15 5 4 1 2. - <_> - - <_> - 8 7 3 3 -1. - <_> - 9 7 1 3 3. - <_> - - <_> - 14 2 6 4 -1. - <_> - 14 4 6 2 2. - <_> - - <_> - 7 16 6 1 -1. - <_> - 9 16 2 1 3. - <_> - - <_> - 15 13 2 3 -1. - <_> - 15 14 2 1 3. - <_> - - <_> - 8 7 3 10 -1. - <_> - 9 7 1 10 3. - <_> - - <_> - 11 10 2 6 -1. - <_> - 11 12 2 2 3. - <_> - - <_> - 6 10 4 1 -1. - <_> - 8 10 2 1 2. - <_> - - <_> - 10 9 2 2 -1. - <_> - 10 10 2 1 2. - <_> - - <_> - 8 9 2 2 -1. - <_> - 8 10 2 1 2. - <_> - - <_> - 12 7 2 2 -1. - <_> - 13 7 1 1 2. - <_> - 12 8 1 1 2. - <_> - - <_> - 5 7 2 2 -1. - <_> - 5 7 1 1 2. - <_> - 6 8 1 1 2. - <_> - - <_> - 13 0 3 14 -1. - <_> - 14 0 1 14 3. - <_> - - <_> - 4 0 3 14 -1. - <_> - 5 0 1 14 3. - <_> - - <_> - 13 4 3 14 -1. - <_> - 14 4 1 14 3. - <_> - - <_> - 9 14 2 3 -1. - <_> - 9 15 2 1 3. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 4 2 3 16 -1. - <_> - 5 2 1 16 3. - <_> - - <_> - 7 2 8 10 -1. - <_> - 7 7 8 5 2. - <_> - - <_> - 6 14 7 3 -1. - <_> - 6 15 7 1 3. - <_> - - <_> - 9 2 10 12 -1. - <_> - 14 2 5 6 2. - <_> - 9 8 5 6 2. - <_> - - <_> - 6 7 8 2 -1. - <_> - 6 8 8 1 2. - <_> - - <_> - 8 13 4 6 -1. - <_> - 8 16 4 3 2. - <_> - - <_> - 6 6 1 3 -1. - <_> - 6 7 1 1 3. - <_> - - <_> - 16 2 4 6 -1. - <_> - 16 4 4 2 3. - <_> - - <_> - 6 6 4 2 -1. - <_> - 6 6 2 1 2. - <_> - 8 7 2 1 2. - <_> - - <_> - 16 2 4 6 -1. - <_> - 16 4 4 2 3. - <_> - - <_> - 0 2 4 6 -1. - <_> - 0 4 4 2 3. - <_> - - <_> - 9 6 2 6 -1. - <_> - 9 6 1 6 2. - <_> - - <_> - 3 4 6 10 -1. - <_> - 3 9 6 5 2. - <_> - - <_> - 9 5 2 6 -1. - <_> - 9 5 1 6 2. - <_> - - <_> - 3 13 2 3 -1. - <_> - 3 14 2 1 3. - <_> - - <_> - 13 13 3 2 -1. - <_> - 13 14 3 1 2. - <_> - - <_> - 2 16 10 4 -1. - <_> - 2 16 5 2 2. - <_> - 7 18 5 2 2. - <_> - - <_> - 5 6 10 6 -1. - <_> - 10 6 5 3 2. - <_> - 5 9 5 3 2. - <_> - - <_> - 7 14 1 3 -1. - <_> - 7 15 1 1 3. - <_> - - <_> - 14 16 6 3 -1. - <_> - 14 17 6 1 3. - <_> - - <_> - 5 4 3 3 -1. - <_> - 5 5 3 1 3. - <_> - - <_> - 7 4 10 3 -1. - <_> - 7 5 10 1 3. - <_> - - <_> - 0 4 5 4 -1. - <_> - 0 6 5 2 2. - <_> - - <_> - 13 11 3 9 -1. - <_> - 13 14 3 3 3. - <_> - - <_> - 4 11 3 9 -1. - <_> - 4 14 3 3 3. - <_> - - <_> - 9 7 2 1 -1. - <_> - 9 7 1 1 2. - <_> - - <_> - 5 0 6 17 -1. - <_> - 7 0 2 17 3. - <_> - - <_> - 10 3 6 3 -1. - <_> - 10 3 3 3 2. - <_> - - <_> - 2 2 15 4 -1. - <_> - 7 2 5 4 3. - <_> - - <_> - 8 2 8 2 -1. - <_> - 12 2 4 1 2. - <_> - 8 3 4 1 2. - <_> - - <_> - 8 1 3 6 -1. - <_> - 8 3 3 2 3. - <_> - - <_> - 9 17 2 2 -1. - <_> - 9 18 2 1 2. - <_> - - <_> - 0 0 2 14 -1. - <_> - 1 0 1 14 2. - <_> - - <_> - 12 0 7 3 -1. - <_> - 12 1 7 1 3. - <_> - - <_> - 1 14 1 2 -1. - <_> - 1 15 1 1 2. - <_> - - <_> - 14 12 2 8 -1. - <_> - 15 12 1 4 2. - <_> - 14 16 1 4 2. - <_> - - <_> - 1 0 7 3 -1. - <_> - 1 1 7 1 3. - <_> - - <_> - 14 12 2 8 -1. - <_> - 15 12 1 4 2. - <_> - 14 16 1 4 2. - <_> - - <_> - 6 0 8 12 -1. - <_> - 6 0 4 6 2. - <_> - 10 6 4 6 2. - <_> - - <_> - 6 1 8 9 -1. - <_> - 6 4 8 3 3. - <_> - - <_> - 5 2 2 2 -1. - <_> - 5 3 2 1 2. - <_> - - <_> - 13 14 6 6 -1. - <_> - 16 14 3 3 2. - <_> - 13 17 3 3 2. - <_> - - <_> - 0 17 20 2 -1. - <_> - 0 17 10 1 2. - <_> - 10 18 10 1 2. - <_> - - <_> - 10 3 2 6 -1. - <_> - 11 3 1 3 2. - <_> - 10 6 1 3 2. - <_> - - <_> - 5 12 6 2 -1. - <_> - 8 12 3 2 2. - <_> - - <_> - 10 7 6 13 -1. - <_> - 10 7 3 13 2. - <_> - - <_> - 5 15 10 5 -1. - <_> - 10 15 5 5 2. - <_> - - <_> - 10 4 4 10 -1. - <_> - 10 4 2 10 2. - <_> - - <_> - 5 7 2 1 -1. - <_> - 6 7 1 1 2. - <_> - - <_> - 10 3 6 7 -1. - <_> - 10 3 3 7 2. - <_> - - <_> - 4 3 6 7 -1. - <_> - 7 3 3 7 2. - <_> - - <_> - 1 7 18 5 -1. - <_> - 7 7 6 5 3. - <_> - - <_> - 3 17 4 3 -1. - <_> - 5 17 2 3 2. - <_> - - <_> - 8 14 12 6 -1. - <_> - 14 14 6 3 2. - <_> - 8 17 6 3 2. - <_> - - <_> - 0 13 20 4 -1. - <_> - 0 13 10 2 2. - <_> - 10 15 10 2 2. - <_> - - <_> - 4 5 14 2 -1. - <_> - 11 5 7 1 2. - <_> - 4 6 7 1 2. - <_> - - <_> - 1 2 10 12 -1. - <_> - 1 2 5 6 2. - <_> - 6 8 5 6 2. - <_> - - <_> - 6 1 14 3 -1. - <_> - 6 2 14 1 3. - <_> - - <_> - 8 16 2 3 -1. - <_> - 8 17 2 1 3. - <_> - - <_> - 9 17 3 2 -1. - <_> - 10 17 1 2 3. - <_> - - <_> - 5 15 4 2 -1. - <_> - 5 15 2 1 2. - <_> - 7 16 2 1 2. - <_> - - <_> - 10 15 1 3 -1. - <_> - 10 16 1 1 3. - <_> - - <_> - 8 16 4 4 -1. - <_> - 8 16 2 2 2. - <_> - 10 18 2 2 2. - <_> - - <_> - 6 11 8 6 -1. - <_> - 6 14 8 3 2. - <_> - - <_> - 2 13 5 2 -1. - <_> - 2 14 5 1 2. - <_> - - <_> - 13 14 6 6 -1. - <_> - 16 14 3 3 2. - <_> - 13 17 3 3 2. - <_> - - <_> - 1 9 18 4 -1. - <_> - 7 9 6 4 3. - <_> - - <_> - 13 14 6 6 -1. - <_> - 16 14 3 3 2. - <_> - 13 17 3 3 2. - <_> - - <_> - 0 2 1 6 -1. - <_> - 0 4 1 2 3. - <_> - - <_> - 5 0 15 20 -1. - <_> - 5 10 15 10 2. - <_> - - <_> - 1 14 6 6 -1. - <_> - 1 14 3 3 2. - <_> - 4 17 3 3 2. - <_> - - <_> - 8 14 4 6 -1. - <_> - 10 14 2 3 2. - <_> - 8 17 2 3 2. - <_> - - <_> - 7 11 2 1 -1. - <_> - 8 11 1 1 2. - <_> - - <_> - 9 17 3 2 -1. - <_> - 10 17 1 2 3. - <_> - - <_> - 8 17 3 2 -1. - <_> - 9 17 1 2 3. - <_> - - <_> - 12 14 4 6 -1. - <_> - 14 14 2 3 2. - <_> - 12 17 2 3 2. - <_> - - <_> - 4 14 4 6 -1. - <_> - 4 14 2 3 2. - <_> - 6 17 2 3 2. - <_> - - <_> - 13 14 2 6 -1. - <_> - 14 14 1 3 2. - <_> - 13 17 1 3 2. - <_> - - <_> - 5 14 2 6 -1. - <_> - 5 14 1 3 2. - <_> - 6 17 1 3 2. - <_> - - <_> - 7 0 6 12 -1. - <_> - 7 4 6 4 3. - <_> - - <_> - 0 7 12 2 -1. - <_> - 4 7 4 2 3. - <_> - - <_> - 10 3 3 13 -1. - <_> - 11 3 1 13 3. - <_> - - <_> - 7 3 3 13 -1. - <_> - 8 3 1 13 3. - <_> - - <_> - 10 8 6 3 -1. - <_> - 10 9 6 1 3. - <_> - - <_> - 3 11 3 2 -1. - <_> - 4 11 1 2 3. - <_> - - <_> - 13 12 6 8 -1. - <_> - 16 12 3 4 2. - <_> - 13 16 3 4 2. - <_> - - <_> - 7 6 6 5 -1. - <_> - 9 6 2 5 3. - <_> - - <_> - 17 11 2 7 -1. - <_> - 17 11 1 7 2. - <_> - - <_> - 3 13 8 2 -1. - <_> - 7 13 4 2 2. - <_> - - <_> - 6 9 8 3 -1. - <_> - 6 10 8 1 3. - <_> - - <_> - 4 3 4 3 -1. - <_> - 4 4 4 1 3. - <_> - - <_> - 11 3 4 3 -1. - <_> - 11 4 4 1 3. - <_> - - <_> - 1 4 17 12 -1. - <_> - 1 8 17 4 3. - <_> - - <_> - 11 3 4 3 -1. - <_> - 11 4 4 1 3. - <_> - - <_> - 4 8 6 3 -1. - <_> - 4 9 6 1 3. - <_> - - <_> - 12 3 5 3 -1. - <_> - 12 4 5 1 3. - <_> - - <_> - 1 11 2 7 -1. - <_> - 2 11 1 7 2. - <_> - - <_> - 15 12 2 8 -1. - <_> - 16 12 1 4 2. - <_> - 15 16 1 4 2. - <_> - - <_> - 4 8 11 3 -1. - <_> - 4 9 11 1 3. - <_> - - <_> - 9 13 6 2 -1. - <_> - 12 13 3 1 2. - <_> - 9 14 3 1 2. - <_> - - <_> - 6 13 4 3 -1. - <_> - 6 14 4 1 3. - <_> - - <_> - 9 12 3 3 -1. - <_> - 10 12 1 3 3. - <_> - - <_> - 5 3 3 3 -1. - <_> - 5 4 3 1 3. - <_> - - <_> - 9 4 2 3 -1. - <_> - 9 5 2 1 3. - <_> - - <_> - 0 2 16 3 -1. - <_> - 0 3 16 1 3. - <_> - - <_> - 15 12 2 8 -1. - <_> - 16 12 1 4 2. - <_> - 15 16 1 4 2. - <_> - - <_> - 3 12 2 8 -1. - <_> - 3 12 1 4 2. - <_> - 4 16 1 4 2. - <_> - - <_> - 14 13 3 6 -1. - <_> - 14 15 3 2 3. - <_> - - <_> - 3 13 3 6 -1. - <_> - 3 15 3 2 3. - <_> - - <_> - 6 5 10 2 -1. - <_> - 11 5 5 1 2. - <_> - 6 6 5 1 2. - <_> - - <_> - 2 14 14 6 -1. - <_> - 2 17 14 3 2. - <_> - - <_> - 10 14 1 3 -1. - <_> - 10 15 1 1 3. - <_> - - <_> - 4 16 2 2 -1. - <_> - 4 16 1 1 2. - <_> - 5 17 1 1 2. - <_> - - <_> - 10 6 2 3 -1. - <_> - 10 7 2 1 3. - <_> - - <_> - 0 17 20 2 -1. - <_> - 0 17 10 1 2. - <_> - 10 18 10 1 2. - <_> - - <_> - 13 6 1 3 -1. - <_> - 13 7 1 1 3. - <_> - - <_> - 8 13 3 2 -1. - <_> - 9 13 1 2 3. - <_> - - <_> - 12 2 3 3 -1. - <_> - 13 2 1 3 3. - <_> - - <_> - 3 18 2 2 -1. - <_> - 3 18 1 1 2. - <_> - 4 19 1 1 2. - <_> - - <_> - 9 16 3 4 -1. - <_> - 10 16 1 4 3. - <_> - - <_> - 6 6 1 3 -1. - <_> - 6 7 1 1 3. - <_> - - <_> - 13 1 5 2 -1. - <_> - 13 2 5 1 2. - <_> - - <_> - 7 14 6 2 -1. - <_> - 7 14 3 1 2. - <_> - 10 15 3 1 2. - <_> - - <_> - 11 3 3 4 -1. - <_> - 12 3 1 4 3. - <_> - - <_> - 1 13 12 6 -1. - <_> - 5 13 4 6 3. - <_> - - <_> - 14 11 5 2 -1. - <_> - 14 12 5 1 2. - <_> - - <_> - 2 15 14 4 -1. - <_> - 2 15 7 2 2. - <_> - 9 17 7 2 2. - <_> - - <_> - 3 7 14 2 -1. - <_> - 10 7 7 1 2. - <_> - 3 8 7 1 2. - <_> - - <_> - 1 11 4 2 -1. - <_> - 1 12 4 1 2. - <_> - - <_> - 14 0 6 14 -1. - <_> - 16 0 2 14 3. - <_> - - <_> - 4 11 1 3 -1. - <_> - 4 12 1 1 3. - <_> - - <_> - 14 0 6 14 -1. - <_> - 16 0 2 14 3. - <_> - - <_> - 1 10 3 7 -1. - <_> - 2 10 1 7 3. - <_> - - <_> - 8 12 9 2 -1. - <_> - 8 13 9 1 2. - <_> - - <_> - 0 6 20 1 -1. - <_> - 10 6 10 1 2. - <_> - - <_> - 8 4 4 4 -1. - <_> - 8 4 2 4 2. - <_> - - <_> - 0 0 2 2 -1. - <_> - 0 1 2 1 2. - <_> - - <_> - 5 3 10 9 -1. - <_> - 5 6 10 3 3. - <_> - - <_> - 15 2 4 10 -1. - <_> - 15 2 2 10 2. - <_> - - <_> - 8 2 2 7 -1. - <_> - 9 2 1 7 2. - <_> - - <_> - 7 4 12 1 -1. - <_> - 11 4 4 1 3. - <_> - - <_> - 3 4 9 1 -1. - <_> - 6 4 3 1 3. - <_> - - <_> - 15 10 1 4 -1. - <_> - 15 12 1 2 2. - <_> - - <_> - 4 10 6 4 -1. - <_> - 7 10 3 4 2. - <_> - - <_> - 15 9 1 6 -1. - <_> - 15 12 1 3 2. - <_> - - <_> - 7 17 6 3 -1. - <_> - 7 18 6 1 3. - <_> - - <_> - 14 3 2 16 -1. - <_> - 15 3 1 8 2. - <_> - 14 11 1 8 2. - <_> - - <_> - 4 9 1 6 -1. - <_> - 4 12 1 3 2. - <_> - - <_> - 12 1 5 2 -1. - <_> - 12 2 5 1 2. - <_> - - <_> - 6 18 4 2 -1. - <_> - 6 18 2 1 2. - <_> - 8 19 2 1 2. - <_> - - <_> - 2 4 16 10 -1. - <_> - 10 4 8 5 2. - <_> - 2 9 8 5 2. - <_> - - <_> - 6 5 1 10 -1. - <_> - 6 10 1 5 2. - <_> - - <_> - 4 8 15 2 -1. - <_> - 9 8 5 2 3. - <_> - - <_> - 1 8 15 2 -1. - <_> - 6 8 5 2 3. - <_> - - <_> - 9 5 3 6 -1. - <_> - 9 7 3 2 3. - <_> - - <_> - 5 7 8 2 -1. - <_> - 9 7 4 2 2. - <_> - - <_> - 9 11 2 3 -1. - <_> - 9 12 2 1 3. - <_> - - <_> - 1 0 16 3 -1. - <_> - 1 1 16 1 3. - <_> - - <_> - 11 2 7 2 -1. - <_> - 11 3 7 1 2. - <_> - - <_> - 5 1 10 18 -1. - <_> - 5 7 10 6 3. - <_> - - <_> - 17 4 3 2 -1. - <_> - 18 4 1 2 3. - <_> - - <_> - 8 13 1 3 -1. - <_> - 8 14 1 1 3. - <_> - - <_> - 3 14 14 6 -1. - <_> - 3 16 14 2 3. - <_> - - <_> - 0 2 3 4 -1. - <_> - 1 2 1 4 3. - <_> - - <_> - 12 1 5 2 -1. - <_> - 12 2 5 1 2. - <_> - - <_> - 3 1 5 2 -1. - <_> - 3 2 5 1 2. - <_> - - <_> - 10 13 2 3 -1. - <_> - 10 14 2 1 3. - <_> - - <_> - 8 13 2 3 -1. - <_> - 8 14 2 1 3. - <_> - - <_> - 14 12 2 3 -1. - <_> - 14 13 2 1 3. - <_> - - <_> - 7 2 2 3 -1. - <_> - 7 3 2 1 3. - <_> - - <_> - 5 6 10 4 -1. - <_> - 10 6 5 2 2. - <_> - 5 8 5 2 2. - <_> - - <_> - 9 13 1 6 -1. - <_> - 9 16 1 3 2. - <_> - - <_> - 10 12 2 2 -1. - <_> - 11 12 1 1 2. - <_> - 10 13 1 1 2. - <_> - - <_> - 4 12 2 3 -1. - <_> - 4 13 2 1 3. - <_> - - <_> - 14 4 6 6 -1. - <_> - 14 6 6 2 3. - <_> - - <_> - 8 17 2 3 -1. - <_> - 8 18 2 1 3. - <_> - - <_> - 16 4 4 6 -1. - <_> - 16 6 4 2 3. - <_> - - <_> - 0 4 4 6 -1. - <_> - 0 6 4 2 3. - <_> - - <_> - 14 6 2 3 -1. - <_> - 14 6 1 3 2. - <_> - - <_> - 4 9 8 1 -1. - <_> - 8 9 4 1 2. - <_> - - <_> - 8 12 4 3 -1. - <_> - 8 13 4 1 3. - <_> - - <_> - 5 12 10 6 -1. - <_> - 5 14 10 2 3. - <_> - - <_> - 11 12 1 2 -1. - <_> - 11 13 1 1 2. - <_> - - <_> - 8 15 4 2 -1. - <_> - 8 16 4 1 2. - <_> - - <_> - 6 9 8 8 -1. - <_> - 10 9 4 4 2. - <_> - 6 13 4 4 2. - <_> - - <_> - 7 12 4 6 -1. - <_> - 7 12 2 3 2. - <_> - 9 15 2 3 2. - <_> - - <_> - 10 11 3 1 -1. - <_> - 11 11 1 1 3. - <_> - - <_> - 9 7 2 10 -1. - <_> - 9 7 1 5 2. - <_> - 10 12 1 5 2. - <_> - - <_> - 8 0 6 6 -1. - <_> - 10 0 2 6 3. - <_> - - <_> - 3 11 2 6 -1. - <_> - 3 13 2 2 3. - <_> - - <_> - 16 12 1 2 -1. - <_> - 16 13 1 1 2. - <_> - - <_> - 1 14 6 6 -1. - <_> - 1 14 3 3 2. - <_> - 4 17 3 3 2. - <_> - - <_> - 13 1 3 6 -1. - <_> - 14 1 1 6 3. - <_> - - <_> - 8 8 2 2 -1. - <_> - 8 9 2 1 2. - <_> - - <_> - 9 9 3 3 -1. - <_> - 10 9 1 3 3. - <_> - - <_> - 8 7 3 3 -1. - <_> - 8 8 3 1 3. - <_> - - <_> - 14 0 2 3 -1. - <_> - 14 0 1 3 2. - <_> - - <_> - 1 0 18 9 -1. - <_> - 7 0 6 9 3. - <_> - - <_> - 11 5 4 15 -1. - <_> - 11 5 2 15 2. - <_> - - <_> - 5 5 4 15 -1. - <_> - 7 5 2 15 2. - <_> - - <_> - 14 0 2 3 -1. - <_> - 14 0 1 3 2. - <_> - - <_> - 4 0 2 3 -1. - <_> - 5 0 1 3 2. - <_> - - <_> - 11 12 2 2 -1. - <_> - 12 12 1 1 2. - <_> - 11 13 1 1 2. - <_> - - <_> - 7 12 2 2 -1. - <_> - 7 12 1 1 2. - <_> - 8 13 1 1 2. - <_> - - <_> - 12 0 3 4 -1. - <_> - 13 0 1 4 3. - <_> - - <_> - 4 11 3 3 -1. - <_> - 4 12 3 1 3. - <_> - - <_> - 12 7 4 2 -1. - <_> - 12 8 4 1 2. - <_> - - <_> - 8 10 3 2 -1. - <_> - 9 10 1 2 3. - <_> - - <_> - 9 9 3 2 -1. - <_> - 10 9 1 2 3. - <_> - - <_> - 8 9 3 2 -1. - <_> - 9 9 1 2 3. - <_> - - <_> - 12 0 3 4 -1. - <_> - 13 0 1 4 3. - <_> - - <_> - 5 0 3 4 -1. - <_> - 6 0 1 4 3. - <_> - - <_> - 4 14 12 4 -1. - <_> - 10 14 6 2 2. - <_> - 4 16 6 2 2. - <_> - - <_> - 8 13 2 3 -1. - <_> - 8 14 2 1 3. - <_> - - <_> - 10 10 3 8 -1. - <_> - 10 14 3 4 2. - <_> - - <_> - 8 10 4 8 -1. - <_> - 8 10 2 4 2. - <_> - 10 14 2 4 2. - <_> - - <_> - 10 8 3 1 -1. - <_> - 11 8 1 1 3. - <_> - - <_> - 9 12 1 6 -1. - <_> - 9 15 1 3 2. - <_> - - <_> - 10 8 3 1 -1. - <_> - 11 8 1 1 3. - <_> - - <_> - 7 8 3 1 -1. - <_> - 8 8 1 1 3. - <_> - - <_> - 5 2 15 14 -1. - <_> - 5 9 15 7 2. - <_> - - <_> - 2 1 2 10 -1. - <_> - 2 1 1 5 2. - <_> - 3 6 1 5 2. - <_> - - <_> - 14 14 2 3 -1. - <_> - 14 15 2 1 3. - <_> - - <_> - 2 7 3 3 -1. - <_> - 3 7 1 3 3. - <_> - - <_> - 17 4 3 3 -1. - <_> - 17 5 3 1 3. - <_> - - <_> - 0 4 3 3 -1. - <_> - 0 5 3 1 3. - <_> - - <_> - 13 5 6 2 -1. - <_> - 16 5 3 1 2. - <_> - 13 6 3 1 2. - <_> - - <_> - 4 19 12 1 -1. - <_> - 8 19 4 1 3. - <_> - - <_> - 12 12 2 4 -1. - <_> - 12 14 2 2 2. - <_> - - <_> - 3 15 1 3 -1. - <_> - 3 16 1 1 3. - <_> - - <_> - 11 16 6 4 -1. - <_> - 11 16 3 4 2. - <_> - - <_> - 2 10 3 10 -1. - <_> - 3 10 1 10 3. - <_> - - <_> - 12 8 2 4 -1. - <_> - 12 8 1 4 2. - <_> - - <_> - 6 8 2 4 -1. - <_> - 7 8 1 4 2. - <_> - - <_> - 10 14 2 3 -1. - <_> - 10 14 1 3 2. - <_> - - <_> - 5 1 10 3 -1. - <_> - 10 1 5 3 2. - <_> - - <_> - 10 7 3 2 -1. - <_> - 11 7 1 2 3. - <_> - - <_> - 5 6 9 2 -1. - <_> - 8 6 3 2 3. - <_> - - <_> - 9 8 2 2 -1. - <_> - 9 9 2 1 2. - <_> - - <_> - 2 11 16 6 -1. - <_> - 2 11 8 3 2. - <_> - 10 14 8 3 2. - <_> - - <_> - 12 7 2 2 -1. - <_> - 13 7 1 1 2. - <_> - 12 8 1 1 2. - <_> - - <_> - 9 5 2 3 -1. - <_> - 9 6 2 1 3. - <_> - - <_> - 9 7 3 2 -1. - <_> - 10 7 1 2 3. - <_> - - <_> - 5 1 8 12 -1. - <_> - 5 7 8 6 2. - <_> - - <_> - 13 5 2 2 -1. - <_> - 13 6 2 1 2. - <_> - - <_> - 5 5 2 2 -1. - <_> - 5 6 2 1 2. - <_> - - <_> - 12 4 3 3 -1. - <_> - 12 5 3 1 3. - <_> - - <_> - 4 14 2 3 -1. - <_> - 4 15 2 1 3. - <_> - - <_> - 12 4 3 3 -1. - <_> - 12 5 3 1 3. - <_> - - <_> - 5 4 3 3 -1. - <_> - 5 5 3 1 3. - <_> - - <_> - 9 14 2 6 -1. - <_> - 10 14 1 3 2. - <_> - 9 17 1 3 2. - <_> - - <_> - 8 14 3 2 -1. - <_> - 9 14 1 2 3. - <_> - - <_> - 9 5 6 6 -1. - <_> - 11 5 2 6 3. - <_> - - <_> - 5 5 6 6 -1. - <_> - 7 5 2 6 3. - <_> - - <_> - 13 13 1 2 -1. - <_> - 13 14 1 1 2. - <_> - - <_> - 0 2 10 2 -1. - <_> - 0 3 10 1 2. - <_> - - <_> - 13 13 1 2 -1. - <_> - 13 14 1 1 2. - <_> - - <_> - 5 7 2 2 -1. - <_> - 5 7 1 1 2. - <_> - 6 8 1 1 2. - <_> - - <_> - 13 5 2 7 -1. - <_> - 13 5 1 7 2. - <_> - - <_> - 6 13 1 2 -1. - <_> - 6 14 1 1 2. - <_> - - <_> - 11 0 3 7 -1. - <_> - 12 0 1 7 3. - <_> - - <_> - 0 3 2 16 -1. - <_> - 0 3 1 8 2. - <_> - 1 11 1 8 2. - <_> - - <_> - 11 0 3 7 -1. - <_> - 12 0 1 7 3. - <_> - - <_> - 6 0 3 7 -1. - <_> - 7 0 1 7 3. - <_> - - <_> - 11 16 8 4 -1. - <_> - 11 16 4 4 2. - <_> - - <_> - 1 16 8 4 -1. - <_> - 5 16 4 4 2. - <_> - - <_> - 13 5 2 7 -1. - <_> - 13 5 1 7 2. - <_> - - <_> - 5 5 2 7 -1. - <_> - 6 5 1 7 2. - <_> - - <_> - 18 6 2 14 -1. - <_> - 18 13 2 7 2. - <_> - - <_> - 6 10 3 4 -1. - <_> - 6 12 3 2 2. - <_> - - <_> - 14 7 1 2 -1. - <_> - 14 8 1 1 2. - <_> - - <_> - 0 1 18 6 -1. - <_> - 0 1 9 3 2. - <_> - 9 4 9 3 2. - <_> - - <_> - 14 7 1 2 -1. - <_> - 14 8 1 1 2. - <_> - - <_> - 0 6 2 14 -1. - <_> - 0 13 2 7 2. - <_> - - <_> - 17 0 3 12 -1. - <_> - 18 0 1 12 3. - <_> - - <_> - 0 6 18 3 -1. - <_> - 0 7 18 1 3. - <_> - - <_> - 6 0 14 16 -1. - <_> - 6 8 14 8 2. - <_> - - <_> - 0 0 3 12 -1. - <_> - 1 0 1 12 3. - <_> - - <_> - 13 0 3 7 -1. - <_> - 14 0 1 7 3. - <_> - - <_> - 5 7 1 2 -1. - <_> - 5 8 1 1 2. - <_> - - <_> - 14 4 6 6 -1. - <_> - 14 6 6 2 3. - <_> - - <_> - 5 7 7 2 -1. - <_> - 5 8 7 1 2. - <_> - - <_> - 8 6 6 9 -1. - <_> - 8 9 6 3 3. - <_> - - <_> - 5 4 6 1 -1. - <_> - 7 4 2 1 3. - <_> - - <_> - 13 0 6 4 -1. - <_> - 16 0 3 2 2. - <_> - 13 2 3 2 2. - <_> - - <_> - 1 2 18 12 -1. - <_> - 1 6 18 4 3. - <_> - - <_> - 3 2 17 12 -1. - <_> - 3 6 17 4 3. - <_> - - <_> - 5 14 7 3 -1. - <_> - 5 15 7 1 3. - <_> - - <_> - 10 14 1 3 -1. - <_> - 10 15 1 1 3. - <_> - - <_> - 3 14 3 3 -1. - <_> - 3 15 3 1 3. - <_> - - <_> - 14 4 6 6 -1. - <_> - 14 6 6 2 3. - <_> - - <_> - 0 4 6 6 -1. - <_> - 0 6 6 2 3. - <_> - - <_> - 12 5 4 3 -1. - <_> - 12 6 4 1 3. - <_> - - <_> - 4 5 4 3 -1. - <_> - 4 6 4 1 3. - <_> - - <_> - 18 0 2 6 -1. - <_> - 18 2 2 2 3. - <_> - - <_> - 8 1 4 9 -1. - <_> - 10 1 2 9 2. - <_> - - <_> - 6 6 8 2 -1. - <_> - 6 6 4 2 2. - <_> - - <_> - 6 5 4 2 -1. - <_> - 6 5 2 1 2. - <_> - 8 6 2 1 2. - <_> - - <_> - 10 5 2 3 -1. - <_> - 10 6 2 1 3. - <_> - - <_> - 9 5 1 3 -1. - <_> - 9 6 1 1 3. - <_> - - <_> - 9 10 2 2 -1. - <_> - 9 11 2 1 2. - <_> - - <_> - 0 8 4 3 -1. - <_> - 0 9 4 1 3. - <_> - - <_> - 6 0 8 6 -1. - <_> - 6 3 8 3 2. - <_> - - <_> - 1 0 6 4 -1. - <_> - 1 0 3 2 2. - <_> - 4 2 3 2 2. - <_> - - <_> - 13 0 3 7 -1. - <_> - 14 0 1 7 3. - <_> - - <_> - 9 16 2 2 -1. - <_> - 9 17 2 1 2. - <_> - - <_> - 11 4 6 10 -1. - <_> - 11 9 6 5 2. - <_> - - <_> - 0 10 19 2 -1. - <_> - 0 11 19 1 2. - <_> - - <_> - 9 5 8 9 -1. - <_> - 9 8 8 3 3. - <_> - - <_> - 4 0 3 7 -1. - <_> - 5 0 1 7 3. - <_> - - <_> - 8 6 4 12 -1. - <_> - 10 6 2 6 2. - <_> - 8 12 2 6 2. - <_> - - <_> - 0 2 6 4 -1. - <_> - 0 4 6 2 2. - <_> - - <_> - 8 15 4 3 -1. - <_> - 8 16 4 1 3. - <_> - - <_> - 8 0 3 7 -1. - <_> - 9 0 1 7 3. - <_> - - <_> - 9 5 3 4 -1. - <_> - 10 5 1 4 3. - <_> - - <_> - 8 5 3 4 -1. - <_> - 9 5 1 4 3. - <_> - - <_> - 7 6 6 1 -1. - <_> - 9 6 2 1 3. - <_> - - <_> - 7 14 4 4 -1. - <_> - 7 14 2 2 2. - <_> - 9 16 2 2 2. - <_> - - <_> - 13 14 4 6 -1. - <_> - 15 14 2 3 2. - <_> - 13 17 2 3 2. - <_> - - <_> - 7 8 1 8 -1. - <_> - 7 12 1 4 2. - <_> - - <_> - 16 0 2 8 -1. - <_> - 17 0 1 4 2. - <_> - 16 4 1 4 2. - <_> - - <_> - 2 0 2 8 -1. - <_> - 2 0 1 4 2. - <_> - 3 4 1 4 2. - <_> - - <_> - 6 1 14 3 -1. - <_> - 6 2 14 1 3. - <_> - - <_> - 7 9 3 10 -1. - <_> - 7 14 3 5 2. - <_> - - <_> - 9 14 2 2 -1. - <_> - 9 15 2 1 2. - <_> - - <_> - 7 7 6 8 -1. - <_> - 7 11 6 4 2. - <_> - - <_> - 9 7 3 6 -1. - <_> - 9 10 3 3 2. - <_> - - <_> - 7 13 3 3 -1. - <_> - 7 14 3 1 3. - <_> - - <_> - 9 9 2 2 -1. - <_> - 9 10 2 1 2. - <_> - - <_> - 0 1 18 2 -1. - <_> - 6 1 6 2 3. - <_> - - <_> - 7 1 6 14 -1. - <_> - 7 8 6 7 2. - <_> - - <_> - 1 9 18 1 -1. - <_> - 7 9 6 1 3. - <_> - - <_> - 9 7 2 2 -1. - <_> - 9 7 1 2 2. - <_> - - <_> - 9 3 2 9 -1. - <_> - 10 3 1 9 2. - <_> - - <_> - 18 14 2 3 -1. - <_> - 18 15 2 1 3. - <_> - - <_> - 7 11 3 1 -1. - <_> - 8 11 1 1 3. - <_> - - <_> - 10 8 3 4 -1. - <_> - 11 8 1 4 3. - <_> - - <_> - 7 14 3 6 -1. - <_> - 8 14 1 6 3. - <_> - - <_> - 10 8 3 4 -1. - <_> - 11 8 1 4 3. - <_> - - <_> - 7 8 3 4 -1. - <_> - 8 8 1 4 3. - <_> - - <_> - 7 9 6 9 -1. - <_> - 7 12 6 3 3. - <_> - - <_> - 0 14 2 3 -1. - <_> - 0 15 2 1 3. - <_> - - <_> - 11 12 1 2 -1. - <_> - 11 13 1 1 2. - <_> - - <_> - 4 3 8 3 -1. - <_> - 8 3 4 3 2. - <_> - - <_> - 0 4 20 6 -1. - <_> - 0 4 10 6 2. - <_> - - <_> - 9 14 1 3 -1. - <_> - 9 15 1 1 3. - <_> - - <_> - 8 14 4 3 -1. - <_> - 8 15 4 1 3. - <_> - - <_> - 0 15 14 4 -1. - <_> - 0 17 14 2 2. - <_> - - <_> - 1 14 18 6 -1. - <_> - 1 17 18 3 2. - <_> - - <_> - 0 0 10 6 -1. - <_> - 0 0 5 3 2. - <_> - 5 3 5 3 2. - \ No newline at end of file diff --git a/finger-counter-hand-tracking-master/tutorial.py b/finger-counter-hand-tracking-master/tutorial.py deleted file mode 100644 index bb82115..0000000 --- a/finger-counter-hand-tracking-master/tutorial.py +++ /dev/null @@ -1,60 +0,0 @@ -import cv2 -import time -import datetime - -cap = cv2.VideoCapture(0) - -face_cascade = cv2.CascadeClassifier( - cv2.data.haarcascades + "haarcascade_frontalface_default.xml") -body_cascade = cv2.CascadeClassifier( - cv2.data.haarcascades + "haarcascade_fullbody.xml") - -detection = False -detection_stopped_time = None -timer_started = False -SECONDS_TO_RECORD_AFTER_DETECTION = 5 - -frame_size = (int(cap.get(3)), int(cap.get(4))) -fourcc = cv2.VideoWriter_fourcc(*"mp4v") - -while True: - _, frame = cap.read() - - gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) - faces = face_cascade.detectMultiScale(gray, 1.3, 5) - bodies = face_cascade.detectMultiScale(gray, 1.3, 5) - - if len(faces) + len(bodies) > 0: - if detection: - timer_started = False - else: - detection = True - current_time = datetime.datetime.now().strftime("%d-%m-%Y-%H-%M-%S") - out = cv2.VideoWriter( - f"{current_time}.mp4", fourcc, 20, frame_size) - print("Started Recording!") - elif detection: - if timer_started: - if time.time() - detection_stopped_time >= SECONDS_TO_RECORD_AFTER_DETECTION: - detection = False - timer_started = False - out.release() - print('Stop Recording!') - else: - timer_started = True - detection_stopped_time = time.time() - - if detection: - out.write(frame) - - # for (x, y, width, height) in faces: - # cv2.rectangle(frame, (x, y), (x + width, y + height), (255, 0, 0), 3) - - cv2.imshow("Camera", frame) - - if cv2.waitKey(1) == ord('q'): - break - -out.release() -cap.release() -cv2.destroyAllWindows() diff --git a/football.py b/football.py deleted file mode 100644 index f7de2e8..0000000 --- a/football.py +++ /dev/null @@ -1,114 +0,0 @@ -from roboflow import Roboflow -import clearml -from ultralytics import YOLO -import cv2 -import numpy as np -from collections import defaultdict -import numpy as np -from IPython.display import Image, display -import io - -# Download the dataset stored on Roboflow -rf = Roboflow(api_key="lvJtfzYNSRQrGmcNtdUd") -project = rf.workspace().project("fcberdi") -model = project.version(1).model -dataset = project.version(1).download("yolov8") - -# Connecting ClearML with the current process (Colab notebook) -clearml.browser_login() - -# Define model & data path -model = YOLO('yolov8m-football.pt') -DATASET_PATH = "/Users/pascal/Desktop/fcberdi.v1i.yolov8/data.yaml" - -# Train the model with CUDA or MPS -results = model.train(data=DATASET_PATH, epochs=10, imgsz=320) - -# Define video path & model path -MODEL_PATH = '/Users/pascal/desktop/yolov8m-football-1.pt' -VIDEO_PATH = '/Users/pascal/desktop/fcberdi.mp4' -OUTPUT_VIDEO_PATH = '/Users/pascal/desktop/fcberdisco_output.mp4' - -def detect_on_frame(model_path, video_path, frame_number, conf_threshold=0.35): - """Extracts a specific frame from a video, runs YOLOv8 detection on it, and displays the result. - - Args: - model_path (str): Path to the YOLO model file. - video_path (str): Path to the input video file. - frame_number (int): The frame number to extract and process. - conf_threshold (float, optional): Confidence threshold for YOLO model detection. Defaults to 0.35. - """ - - model = YOLO(model_path) - - cap = cv2.VideoCapture(video_path) - cap.set(cv2.CAP_PROP_POS_FRAMES, frame_number) - success, frame = cap.read() - cap.release() - - if success: - # Run YOLOv8 inference on the frame and visualize the results - results = model(frame, conf=conf_threshold) - annotated_frame = results[0].plot() - _, encoded_image = cv2.imencode('.png', annotated_frame) - ipy_img = Image(data=encoded_image.tobytes()) - display(ipy_img) - else: - print(f"Failed to read the frame at position {frame_number} from the video.") - -# Detect on a single frame from the video -FRAME_NUMBER = 500 -detect_on_frame(MODEL_PATH, VIDEO_PATH, FRAME_NUMBER, 0.5) - -def process_and_detect_on_video(model_path, video_path, output_path=None, display_video=False, conf_threshold=0.5): - """Process a video file with YOLO model, optionally save and display the output. - - Args: - model_path (str): Path to the YOLO model file. - video_path (str): Path to the input video file. - output_path (str, optional): Path where the output video will be saved. If None, the video won't be saved. - display_video (bool): Whether to display the video during processing. - conf_threshold (float): Confidence threshold for YOLO model detection. - """ - - model = YOLO(model_path) - - cap = cv2.VideoCapture(video_path) - out = None - if output_path: - frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) - frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) - frame_rate = int(cap.get(cv2.CAP_PROP_FPS)) - fourcc = cv2.VideoWriter_fourcc(*'mp4v') - out = cv2.VideoWriter(output_path, fourcc, frame_rate, (frame_width, frame_height)) - - try: - while cap.isOpened(): - success, frame = cap.read() - if not success: - break - - results = model(frame, conf=conf_threshold) - annotated_frame = results[0].plot() - - if out: - out.write(annotated_frame) - - if display_video: - cv2.imshow("YOLOv8 Inference", annotated_frame) - # Press Q on the keyboard to exit when displaying the video - if cv2.waitKey(1) & 0xFF == ord('q'): - break - - except Exception as e: - print(f"An error occurred: {e}") - - finally: - cap.release() - if out: - out.release() - if display_video: - cv2.destroyAllWindows() - -# Process and detect on the video -process_and_detect_on_video(MODEL_PATH, VIDEO_PATH, OUTPUT_VIDEO_PATH, display_video=False, conf_threshold=0.5) \ No newline at end of file diff --git a/imageinference.py b/imageinference.py deleted file mode 100644 index e5edc54..0000000 --- a/imageinference.py +++ /dev/null @@ -1,28 +0,0 @@ -import supervision as sv -from PIL import Image -from rfdetr import RFDETRBase -from rfdetr.util.coco_classes import COCO_CLASSES - -# Load model -model = RFDETRBase() - -# Load local image (no need for requests or io) -image = Image.open("pascal.jpg") - -# Run object detection -detections = model.predict(image, threshold=0.5) - -# Generate labels for each detection -labels = [ - f"{COCO_CLASSES[class_id]} {confidence:.2f}" - for class_id, confidence - in zip(detections.class_id, detections.confidence) -] - -# Annotate image with boxes and labels -annotated_image = image.copy() -annotated_image = sv.BoxAnnotator().annotate(annotated_image, detections) -annotated_image = sv.LabelAnnotator().annotate(annotated_image, detections, labels) - -# Display the annotated image -sv.plot_image(annotated_image) diff --git a/inference.py b/inference.py deleted file mode 100644 index a94a078..0000000 --- a/inference.py +++ /dev/null @@ -1,32 +0,0 @@ -import cv2 -import supervision as sv -from rfdetr import RFDETRBase -from rfdetr.util.coco_classes import COCO_CLASSES - -model = RFDETRBase() - -cap = cv2.VideoCapture(0) -while True: - success, frame = cap.read() - if not success: - break - - detections = model.predict(frame, threshold=0.5) - - labels = [ - f"{COCO_CLASSES[class_id]} {confidence:.2f}" - for class_id, confidence - in zip(detections.class_id, detections.confidence) - ] - - annotated_frame = frame.copy() - annotated_frame = sv.BoxAnnotator().annotate(annotated_frame, detections) - annotated_frame = sv.LabelAnnotator().annotate(annotated_frame, detections, labels) - - cv2.imshow("Webcam", annotated_frame) - - if cv2.waitKey(1) & 0xFF == ord('q'): - break - -cap.release() -cv2.destroyAllWindows() \ No newline at end of file diff --git a/kanye saxophone b/kanye saxophone new file mode 100644 index 0000000..942c122 --- /dev/null +++ b/kanye saxophone @@ -0,0 +1,303 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "authorship_tag": "ABX9TyOYNrl7gLPXKiTAYPwy2zKp", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ncvf1UMKELDd", + "outputId": "9bb4b449-8659-417b-ac82-63b47ff46a0b" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Cloning into 'supervision'...\n", + "remote: Enumerating objects: 22078, done.\u001b[K\n", + "remote: Counting objects: 100% (2856/2856), done.\u001b[K\n", + "remote: Compressing objects: 100% (1087/1087), done.\u001b[K\n", + "remote: Total 22078 (delta 1835), reused 2724 (delta 1734), pack-reused 19222\u001b[K\n", + "Receiving objects: 100% (22078/22078), 547.99 MiB | 24.89 MiB/s, done.\n", + "Resolving deltas: 100% (14076/14076), done.\n" + ] + } + ], + "source": [ + "! git clone https://github.com/roboflow/supervision" + ] + }, + { + "cell_type": "code", + "source": [ + " ! pip install supervision" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "cqWNk-UaFWCh", + "outputId": "be236d94-ff2d-4621-a26c-25a05ca614eb" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting supervision\n", + " Downloading supervision-0.21.0-py3-none-any.whl (123 kB)\n", + "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/124.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m124.0/124.0 kB\u001b[0m \u001b[31m3.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: defusedxml<0.8.0,>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from supervision) (0.7.1)\n", + "Requirement already satisfied: matplotlib>=3.6.0 in /usr/local/lib/python3.10/dist-packages (from supervision) (3.7.1)\n", + "Requirement already satisfied: numpy>=1.21.2 in /usr/local/lib/python3.10/dist-packages (from supervision) (1.25.2)\n", + "Requirement already satisfied: opencv-python-headless>=4.5.5.64 in /usr/local/lib/python3.10/dist-packages (from supervision) (4.10.0.82)\n", + "Requirement already satisfied: pillow>=9.4 in /usr/local/lib/python3.10/dist-packages (from supervision) (9.4.0)\n", + "Requirement already satisfied: pyyaml>=5.3 in /usr/local/lib/python3.10/dist-packages (from supervision) (6.0.1)\n", + "Requirement already satisfied: scipy<2.0.0,>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from supervision) (1.11.4)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.6.0->supervision) (1.2.1)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.6.0->supervision) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.6.0->supervision) (4.53.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.6.0->supervision) (1.4.5)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.6.0->supervision) (24.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.6.0->supervision) (3.1.2)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.6.0->supervision) (2.8.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=3.6.0->supervision) (1.16.0)\n", + "Installing collected packages: supervision\n", + "Successfully installed supervision-0.21.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import cv2\n", + "import supervision as sv\n", + "from ultralytics import YOLO\n", + "\n", + "image = cv2.imread('/content/kanye playing sax.png')\n", + "model = YOLO('/content/yolov8s.pt')\n", + "result = model(image)[0]\n", + "detections = sv.Detections.from_ultralytics(result)\n", + "\n", + "len(detections)\n", + "# 5" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Vth6oNiPFrVT", + "outputId": "9d4d04cb-6a91-4472-a69a-55903402949f" + }, + "execution_count": 7, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "0: 480x640 2 persons, 1 tie, 1 tv, 496.6ms\n", + "Speed: 6.6ms preprocess, 496.6ms inference, 1.6ms postprocess per image at shape (1, 3, 480, 640)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "4" + ] + }, + "metadata": {}, + "execution_count": 7 + } + ] + }, + { + "cell_type": "code", + "source": [ + "import os\n", + "import cv2\n", + "import supervision as sv\n", + "from ultralytics import YOLO\n", + "\n", + "# Load the image\n", + "image = cv2.imread('/content/kanye playing sax.png')\n", + "\n", + "# Load the YOLO model\n", + "model = YOLO('/content/yolov8s.pt')\n", + "\n", + "# Run the model on the image\n", + "results = model(image)[0]\n", + "\n", + "# Convert the model's result to the format expected by sv.Detections\n", + "boxes = results.boxes.xyxy.cpu().numpy() # Bounding boxes in xyxy format\n", + "labels = results.boxes.cls.cpu().numpy().astype(int) # Class labels, converted to integers\n", + "scores = results.boxes.conf.cpu().numpy() # Confidence scores\n", + "\n", + "# Create the Detections object\n", + "detections = sv.Detections(xyxy=boxes, class_id=labels, confidence=scores)\n", + "\n", + "# Create an output directory\n", + "output_dir = '/content/supervision/supervision/assets'\n", + "os.makedirs(output_dir, exist_ok=True)\n", + "\n", + "# Annotate the image with bounding boxes\n", + "bounding_box_annotator = sv.BoundingBoxAnnotator()\n", + "annotated_frame = bounding_box_annotator.annotate(\n", + " scene=image.copy(),\n", + " detections=detections\n", + ")\n", + "\n", + "# Save the annotated image\n", + "output_image_path = os.path.join(output_dir, 'annotated_image.png')\n", + "cv2.imwrite(output_image_path, annotated_frame)\n", + "\n", + "print(f\"Annotated image saved to {output_image_path}\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "eeuCtimjUYSW", + "outputId": "ca94dcf6-5039-46d0-a031-0b374c69cac0" + }, + "execution_count": 14, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "0: 480x640 2 persons, 1 tie, 1 tv, 817.4ms\n", + "Speed: 7.5ms preprocess, 817.4ms inference, 1.9ms postprocess per image at shape (1, 3, 480, 640)\n", + "Annotated image saved to /content/supervision/supervision/assets/annotated_image.png\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "! pip install opencv\n", + "! pip install ultralytics" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "cQffhsuMFzws", + "outputId": "c5f7f342-3798-4af2-c7b7-777ead2a4586" + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[31mERROR: Could not find a version that satisfies the requirement opencv (from versions: none)\u001b[0m\u001b[31m\n", + "\u001b[0m\u001b[31mERROR: No matching distribution found for opencv\u001b[0m\u001b[31m\n", + "\u001b[0mCollecting ultralytics\n", + " Downloading ultralytics-8.2.31-py3-none-any.whl (780 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m780.6/780.6 kB\u001b[0m \u001b[31m15.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: matplotlib>=3.3.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (3.7.1)\n", + "Requirement already satisfied: opencv-python>=4.6.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (4.8.0.76)\n", + "Requirement already satisfied: pillow>=7.1.2 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (9.4.0)\n", + "Requirement already satisfied: pyyaml>=5.3.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (6.0.1)\n", + "Requirement already satisfied: requests>=2.23.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (2.31.0)\n", + "Requirement already satisfied: scipy>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (1.11.4)\n", + "Requirement already satisfied: torch>=1.8.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (2.3.0+cu121)\n", + "Requirement already satisfied: torchvision>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (0.18.0+cu121)\n", + "Requirement already satisfied: tqdm>=4.64.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (4.66.4)\n", + "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from ultralytics) (5.9.5)\n", + "Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from ultralytics) (9.0.0)\n", + "Requirement already satisfied: pandas>=1.1.4 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (2.0.3)\n", + "Requirement already satisfied: seaborn>=0.11.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (0.13.1)\n", + "Collecting ultralytics-thop>=0.2.5 (from ultralytics)\n", + " Downloading ultralytics_thop-0.2.8-py3-none-any.whl (25 kB)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (1.2.1)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (4.53.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (1.4.5)\n", + "Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (1.25.2)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (24.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (3.1.2)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.4->ultralytics) (2023.4)\n", + "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.4->ultralytics) (2024.1)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (3.7)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (2.0.7)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (2024.6.2)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (3.14.0)\n", + "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (4.12.1)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (1.12.1)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (3.3)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (3.1.4)\n", + "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (2023.6.0)\n", + "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)\n", + "Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)\n", + "Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)\n", + "Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)\n", + "Collecting nvidia-cublas-cu12==12.1.3.1 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)\n", + "Collecting nvidia-cufft-cu12==11.0.2.54 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)\n", + "Collecting nvidia-curand-cu12==10.3.2.106 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)\n", + "Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)\n", + "Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)\n", + "Collecting nvidia-nccl-cu12==2.20.5 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)\n", + "Collecting nvidia-nvtx-cu12==12.1.105 (from torch>=1.8.0->ultralytics)\n", + " Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n", + "Requirement already satisfied: triton==2.3.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (2.3.0)\n", + "Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.8.0->ultralytics)\n", + " Downloading nvidia_nvjitlink_cu12-12.5.40-py3-none-manylinux2014_x86_64.whl (21.3 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.3/21.3 MB\u001b[0m \u001b[31m57.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=3.3.0->ultralytics) (1.16.0)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.8.0->ultralytics) (2.1.5)\n", + "Requirement already satisfied: mpmath<1.4.0,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.8.0->ultralytics) (1.3.0)\n", + "Installing collected packages: nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, ultralytics-thop, ultralytics\n", + "Successfully installed nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.5.40 nvidia-nvtx-cu12-12.1.105 ultralytics-8.2.31 ultralytics-thop-0.2.8\n" + ] + } + ] + } + ] +} \ No newline at end of file diff --git a/labels.jpg b/labels.jpg new file mode 100644 index 0000000..99ffcf6 Binary files /dev/null and b/labels.jpg differ diff --git a/labels_correlogram.jpg b/labels_correlogram.jpg new file mode 100644 index 0000000..1a065ec Binary files /dev/null and b/labels_correlogram.jpg differ diff --git a/motion-dection-security-camera.py b/motion-dection-security-camera.py deleted file mode 100644 index 3bda777..0000000 --- a/motion-dection-security-camera.py +++ /dev/null @@ -1,40 +0,0 @@ -import torch -import torchvision -import cv2 - -# Load a pre-trained Faster R-CNN model -model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True) -model.eval() - -# Open the video -video_path = '/Users/pascal/Desktop/boxingvideo.mp4' -cap = cv2.VideoCapture(video_path) - -while cap.isOpened(): - ret, frame = cap.read() - if not ret: - break - - # Convert the frame to a PyTorch tensor - frame_tensor = torchvision.transforms.ToTensor()(frame).unsqueeze(0) - - # Pass the frame through the model to detect objects - with torch.no_grad(): - prediction = model(frame_tensor) - - # Extract the bounding boxes and labels from the prediction - boxes = prediction[0]['boxes'].numpy().astype(int) - labels = prediction[0]['labels'].numpy() - - # Draw bounding boxes on the frame - for box in boxes: - x, y, w, h = box - frame = cv2.rectangle(frame, (x, y), (w, h), (0, 255, 0), 2) - - cv2.imshow('Video Object Detection', frame) - - if cv2.waitKey(1) & 0xFF == ord('q'): - break - -cap.release() -cv2.destroyAllWindows() diff --git a/paris.mp4 b/paris.mp4 deleted file mode 100644 index 358ccb1..0000000 --- a/paris.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:157989a346a1574a2370a575d3631d8a093b3b3471be0c41022562a9bbe65475 -size 1852382 diff --git a/pascal.jpg b/pascal.jpg deleted file mode 100644 index 671ddcd..0000000 Binary files a/pascal.jpg and /dev/null differ diff --git a/pyscript b/pyscript deleted file mode 160000 index cd9e208..0000000 --- a/pyscript +++ /dev/null @@ -1 +0,0 @@ -Subproject commit cd9e208eaa0e84663d3bbbb0dd5a2a33dc25ac5d diff --git a/python-opencv b/python-opencv deleted file mode 160000 index 7932ec6..0000000 --- a/python-opencv +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 7932ec6700c6a12ef192aeeadf08c0084bfab6eb diff --git a/regiondetection.py b/regiondetection.py deleted file mode 100644 index e79bd95..0000000 --- a/regiondetection.py +++ /dev/null @@ -1,219 +0,0 @@ -import argparse -from collections import defaultdict -from pathlib import Path - -import cv2 -import numpy as np -from shapely.geometry import Polygon -from shapely.geometry.point import Point - -from ultralytics import YOLO -from ultralytics.utils.files import increment_path -from ultralytics.utils.plotting import Annotator, colors - -track_history = defaultdict(list) - -current_region = None -counting_regions = [ - { - 'name': 'YOLOv8 Polygon Region', - 'polygon': Polygon([(50, 80), (250, 20), (450, 80), (400, 350), (100, 350)]), # Polygon points - 'counts': 0, - 'dragging': False, - 'region_color': (255, 42, 4), # BGR Value - 'text_color': (255, 255, 255) # Region Text Color - }, - { - 'name': 'YOLOv8 Rectangle Region', - 'polygon': Polygon([(200, 250), (440, 250), (440, 550), (200, 550)]), # Polygon points - 'counts': 0, - 'dragging': False, - 'region_color': (37, 255, 225), # BGR Value - 'text_color': (0, 0, 0), # Region Text Color - }, ] - - -def mouse_callback(event, x, y, flags, param): - """Mouse call back event.""" - global current_region - - # Mouse left button down event - if event == cv2.EVENT_LBUTTONDOWN: - for region in counting_regions: - if region['polygon'].contains(Point((x, y))): - current_region = region - current_region['dragging'] = True - current_region['offset_x'] = x - current_region['offset_y'] = y - - # Mouse move event - elif event == cv2.EVENT_MOUSEMOVE: - if current_region is not None and current_region['dragging']: - dx = x - current_region['offset_x'] - dy = y - current_region['offset_y'] - current_region['polygon'] = Polygon([ - (p[0] + dx, p[1] + dy) for p in current_region['polygon'].exterior.coords]) - current_region['offset_x'] = x - current_region['offset_y'] = y - - # Mouse left button up event - elif event == cv2.EVENT_LBUTTONUP: - if current_region is not None and current_region['dragging']: - current_region['dragging'] = False - - -def run( - weights='yolov8n.pt', - source=None, - device='cpu', - view_img=False, - save_img=False, - exist_ok=False, - line_thickness=2, - track_thickness=2, - region_thickness=2, -): - """ - Run Region counting on a video using YOLOv8 and ByteTrack. - - Supports movable region for real-time counting inside a specific area. - Supports multiple regions counting. - Regions can be Polygons or rectangles in shape. - - Args: - weights (str): Model weights path. - source (str): Video file path. - device (str): processing device cpu, 0, 1 - view_img (bool): Show results. - save_img (bool): Save results. - exist_ok (bool): Overwrite existing files. - line_thickness (int): Bounding box thickness. - track_thickness (int): Tracking line thickness - region_thickness (int): Region thickness. - """ - vid_frame_count = 0 - - # Check source path - if not Path(source).exists(): - raise FileNotFoundError(f"Source path '{source}' does not exist.") - - # Setup Model - model = YOLO(f'{weights}') - model.to('cuda') if device == '0' else model.to('cpu') - - # Video setup - videocapture = cv2.VideoCapture(source) - frame_width, frame_height = int(videocapture.get(3)), int(videocapture.get(4)) - fps, fourcc = int(videocapture.get(5)), cv2.VideoWriter_fourcc(*'mp4v') - - # Output setup - save_dir = increment_path(Path('ultralytics_rc_output') / 'exp', exist_ok) - save_dir.mkdir(parents=True, exist_ok=True) - video_writer = cv2.VideoWriter(str(save_dir / f'{Path(source).stem}.mp4'), fourcc, fps, (frame_width, frame_height)) - - # Iterate over video frames - while videocapture.isOpened(): - success, frame = videocapture.read() - if not success: - break - vid_frame_count += 1 - - # Extract the results - results = model.track(frame, persist=True) - - if results[0].boxes.id is not None: - boxes = results[0].boxes.xywh.cpu() - track_ids = results[0].boxes.id.int().cpu().tolist() - clss = results[0].boxes.cls.cpu().tolist() - names = results[0].names - - annotator = Annotator(frame, line_width=line_thickness, example=str(names)) - - for box, track_id, cls in zip(boxes, track_ids, clss): - x, y, w, h = box - label = str(names[cls]) - xyxy = (x - w / 2), (y - h / 2), (x + w / 2), (y + h / 2) - - # Bounding box plot - bbox_color = colors(cls, True) - annotator.box_label(xyxy, label, color=bbox_color) - - # Tracking Lines plot - track = track_history[track_id] - track.append((float(x), float(y))) - if len(track) > 30: - track.pop(0) - points = np.hstack(track).astype(np.int32).reshape((-1, 1, 2)) - cv2.polylines(frame, [points], isClosed=False, color=bbox_color, thickness=track_thickness) - - # Check if detection inside region - for region in counting_regions: - if region['polygon'].contains(Point((x, y))): - region['counts'] += 1 - - # Draw regions (Polygons/Rectangles) - for region in counting_regions: - region_label = str(region['counts']) - region_color = region['region_color'] - region_text_color = region['text_color'] - - polygon_coords = np.array(region['polygon'].exterior.coords, dtype=np.int32) - centroid_x, centroid_y = int(region['polygon'].centroid.x), int(region['polygon'].centroid.y) - - text_size, _ = cv2.getTextSize(region_label, - cv2.FONT_HERSHEY_SIMPLEX, - fontScale=0.7, - thickness=line_thickness) - text_x = centroid_x - text_size[0] // 2 - text_y = centroid_y + text_size[1] // 2 - cv2.rectangle(frame, (text_x - 5, text_y - text_size[1] - 5), (text_x + text_size[0] + 5, text_y + 5), - region_color, -1) - cv2.putText(frame, region_label, (text_x, text_y), cv2.FONT_HERSHEY_SIMPLEX, 0.7, region_text_color, - line_thickness) - cv2.polylines(frame, [polygon_coords], isClosed=True, color=region_color, thickness=region_thickness) - - if view_img: - if vid_frame_count == 1: - cv2.namedWindow('Ultralytics YOLOv8 Region Counter Movable') - cv2.setMouseCallback('Ultralytics YOLOv8 Region Counter Movable', mouse_callback) - cv2.imshow('Ultralytics YOLOv8 Region Counter Movable', frame) - - if save_img: - video_writer.write(frame) - - for region in counting_regions: # Reinitialize count for each region - region['counts'] = 0 - - if cv2.waitKey(1) & 0xFF == ord('q'): - break - - del vid_frame_count - video_writer.release() - videocapture.release() - cv2.destroyAllWindows() - - -def parse_opt(): - """Parse command line arguments.""" - parser = argparse.ArgumentParser() - parser.add_argument('--weights', type=str, default='yolov8n.pt', help='initial weights path') - parser.add_argument('--device', default='', help='cuda device, i.e. 0 or 0,1,2,3 or cpu') - parser.add_argument('--source', type=str, help='video file path') - parser.add_argument('--view-img', action='store_true', help='show results') - parser.add_argument('--save-img', action='store_true', help='save results') - parser.add_argument('--exist-ok', action='store_true', help='existing project/name ok, do not increment') - parser.add_argument('--line-thickness', type=int, default=2, help='bounding box thickness') - parser.add_argument('--track-thickness', type=int, default=2, help='Tracking line thickness') - parser.add_argument('--region-thickness', type=int, default=4, help='Region thickness') - - return parser.parse_args() - - -def main(opt): - """Main function.""" - run(**vars(opt)) - - -if __name__ == '__main__': - opt = parse_opt() - main(opt) diff --git a/results.csv b/results.csv new file mode 100644 index 0000000..78b5ed8 --- /dev/null +++ b/results.csv @@ -0,0 +1,11 @@ + epoch, train/box_loss, train/cls_loss, train/dfl_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), val/box_loss, val/cls_loss, val/dfl_loss, lr/pg0, lr/pg1, lr/pg2 + 1, 1.3891, 2.6058, 0.9952, 0.01851, 0.49355, 0.34216, 0.19408, 1.3829, 3.0398, 0.89544, 0.00025722, 0.00025722, 0.00025722 + 2, 1.2696, 1.1054, 0.93944, 0.99104, 0.07895, 0.40501, 0.23461, 1.2937, 2.5357, 0.89234, 0.00047639, 0.00047639, 0.00047639 + 3, 1.247, 1.0044, 0.95529, 1, 0.06046, 0.42492, 0.25777, 1.3124, 2.4546, 0.9194, 0.00064179, 0.00064179, 0.00064179 + 4, 1.2121, 0.96906, 0.94455, 0.96096, 0.38905, 0.45279, 0.27976, 1.2204, 1.641, 0.91203, 0.00075344, 0.00075344, 0.00075344 + 5, 1.1926, 0.93165, 0.92665, 0.95822, 0.39505, 0.45441, 0.30257, 1.1807, 1.5099, 0.91063, 0.00081133, 0.00081133, 0.00081133 + 6, 1.2268, 0.91496, 0.94496, 0.94211, 0.42219, 0.45939, 0.29882, 1.1856, 1.2588, 0.91265, 0.00072164, 0.00072164, 0.00072164 + 7, 1.1531, 0.84126, 0.92063, 0.93423, 0.44957, 0.50004, 0.32707, 1.1253, 0.9541, 0.90196, 0.00072164, 0.00072164, 0.00072164 + 8, 1.1051, 0.81145, 0.91544, 0.44995, 0.49211, 0.52287, 0.33259, 1.1044, 0.85428, 0.89818, 0.00058017, 0.00058017, 0.00058017 + 9, 1.0606, 0.79029, 0.90262, 0.47953, 0.51592, 0.54123, 0.33051, 1.0897, 0.82214, 0.89936, 0.0004387, 0.0004387, 0.0004387 + 10, 1.0709, 0.76797, 0.92244, 0.50851, 0.57848, 0.5585, 0.34117, 1.087, 0.80107, 0.89986, 0.00029723, 0.00029723, 0.00029723 diff --git a/results.png b/results.png new file mode 100644 index 0000000..c5a625f Binary files /dev/null and b/results.png differ diff --git a/segmentit.py b/segmentit.py deleted file mode 100644 index d44c2d6..0000000 --- a/segmentit.py +++ /dev/null @@ -1,42 +0,0 @@ -import cv2 -from ultralytics import YOLO -from ultralytics.utils.plotting import Annotator, colors -from collections import defaultdict - -track_history = defaultdict(lambda: []) - -model = YOLO("yolov8n-seg.pt") # segmentation model -cap = cv2.VideoCapture("/Users/pascal/Desktop/pedestrians.mp4") # Corrected path to the video file -w, h = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) -fps = 30 # Set FPS to 30 - -out = cv2.VideoWriter('instance-segmentation-object-tracking.avi', cv2.VideoWriter_fourcc(*'MJPG'), fps, (w, h)) - -while True: - ret, im0 = cap.read() - if not ret: - print("Video frame is empty or video processing has been successfully completed.") - break - - annotator = Annotator(im0, line_width=2) - - results = model.track(im0, persist=True) - - if results[0].boxes.id is not None and results[0].masks is not None: - masks = results[0].masks.xy - track_ids = results[0].boxes.id.int().cpu().tolist() - - for mask, track_id in zip(masks, track_ids): - annotator.seg_bbox(mask=mask, - mask_color=colors(track_id, True), - track_label=str(track_id)) - - out.write(im0) - cv2.imshow("instance-segmentation-object-tracking", im0) - - if cv2.waitKey(1) & 0xFF == ord('q'): - break - -out.release() -cap.release() -cv2.destroyAllWindows() diff --git a/seppe.py b/seppe.py deleted file mode 100644 index b375f8c..0000000 --- a/seppe.py +++ /dev/null @@ -1,69 +0,0 @@ -import cv2 as cv -import numpy as np -import argparse - -# Argument parser -parser = argparse.ArgumentParser() -parser.add_argument('--input', default='/Users/pascal/Desktop/seppevideo.mp4', help='Path to image or video. Skip to capture frames from camera') -parser.add_argument('--thr', default=0.2, type=float, help='Threshold value for pose parts heat map') -parser.add_argument('--width', default=368, type=int, help='Resize input to specific width.') -parser.add_argument('--height', default=368, type=int, help='Resize input to specific height.') -args = parser.parse_args() - -# Body parts and pairs definition -BODY_PARTS = {"Nose": 0, "Neck": 1, "RShoulder": 2, "RElbow": 3, "RWrist": 4, - "LShoulder": 5, "LElbow": 6, "LWrist": 7, "RHip": 8, "RKnee": 9, - "RAnkle": 10, "LHip": 11, "LKnee": 12, "LAnkle": 13, "REye": 14, - "LEye": 15, "REar": 16, "LEar": 17, "Background": 18} - -POSE_PAIRS = [["Neck", "RShoulder"], ["Neck", "LShoulder"], ["RShoulder", "RElbow"], - ["RElbow", "RWrist"], ["LShoulder", "LElbow"], ["LElbow", "LWrist"], - ["Neck", "RHip"], ["RHip", "RKnee"], ["RKnee", "RAnkle"], ["Neck", "LHip"], - ["LHip", "LKnee"], ["LKnee", "LAnkle"], ["Neck", "Nose"], ["Nose", "REye"], - ["REye", "REar"], ["Nose", "LEye"], ["LEye", "LEar"]] - -# Set input video -cap = cv.VideoCapture(args.input) - -while cv.waitKey(1) < 0: - hasFrame, frame = cap.read() - if not hasFrame: - cv.waitKey() - break - - frameWidth = frame.shape[1] - frameHeight = frame.shape[0] - - # Set up the neural network - net = cv.dnn.readNetFromTensorflow("graph_opt.pb") - - # Set input to the neural network - net.setInput(cv.dnn.blobFromImage(frame, 1.0, (args.width, args.height), (127.5, 127.5, 127.5), swapRB=True, crop=False)) - out = net.forward() - out = out[:, :19, :, :] # MobileNet output [1, 57, -1, -1], we only need the first 19 elements - - assert len(BODY_PARTS) == out.shape[1] - - # Extract points from the neural network output - points = [] - for i in range(len(BODY_PARTS)): - heatMap = out[0, i, :, :] - _, conf, _, point = cv.minMaxLoc(heatMap) - x = (frameWidth * point[0]) / out.shape[3] - y = (frameHeight * point[1]) / out.shape[2] - points.append((int(x), int(y)) if conf > args.thr else None) - - # Draw lines and points on the frame - for pair in POSE_PAIRS: - partFrom, partTo = pair[0], pair[1] - idFrom, idTo = BODY_PARTS[partFrom], BODY_PARTS[partTo] - if points[idFrom] and points[idTo]: - cv.line(frame, points[idFrom], points[idTo], (0, 255, 0), 3) - cv.ellipse(frame, points[idFrom], (3, 3), 0, 0, 360, (0, 0, 255), cv.FILLED) - cv.ellipse(frame, points[idTo], (3, 3), 0, 0, 360, (0, 0, 255), cv.FILLED) - - t, _ = net.getPerfProfile() - freq = cv.getTickFrequency() / 1000 - cv.putText(frame, '%.2fms' % (t / freq), (10, 20), cv.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0)) - - cv.imshow('OpenPose using OpenCV', frame) diff --git a/sort.py b/sort.py deleted file mode 100644 index 4b2ca8a..0000000 --- a/sort.py +++ /dev/null @@ -1,330 +0,0 @@ -""" - SORT: A Simple, Online and Realtime Tracker - Copyright (C) 2016-2020 Alex Bewley alex@bewley.ai - - This program is free software: you can redistribute it and/or modify - it under the terms of the GNU General Public License as published by - the Free Software Foundation, either version 3 of the License, or - (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program. If not, see . -""" -from __future__ import print_function - -import os -import numpy as np -import matplotlib -matplotlib.use('TkAgg') -import matplotlib.pyplot as plt -import matplotlib.patches as patches -from skimage import io - -import glob -import time -import argparse -from filterpy.kalman import KalmanFilter - -np.random.seed(0) - - -def linear_assignment(cost_matrix): - try: - import lap - _, x, y = lap.lapjv(cost_matrix, extend_cost=True) - return np.array([[y[i],i] for i in x if i >= 0]) # - except ImportError: - from scipy.optimize import linear_sum_assignment - x, y = linear_sum_assignment(cost_matrix) - return np.array(list(zip(x, y))) - - -def iou_batch(bb_test, bb_gt): - """ - From SORT: Computes IOU between two bboxes in the form [x1,y1,x2,y2] - """ - bb_gt = np.expand_dims(bb_gt, 0) - bb_test = np.expand_dims(bb_test, 1) - - xx1 = np.maximum(bb_test[..., 0], bb_gt[..., 0]) - yy1 = np.maximum(bb_test[..., 1], bb_gt[..., 1]) - xx2 = np.minimum(bb_test[..., 2], bb_gt[..., 2]) - yy2 = np.minimum(bb_test[..., 3], bb_gt[..., 3]) - w = np.maximum(0., xx2 - xx1) - h = np.maximum(0., yy2 - yy1) - wh = w * h - o = wh / ((bb_test[..., 2] - bb_test[..., 0]) * (bb_test[..., 3] - bb_test[..., 1]) - + (bb_gt[..., 2] - bb_gt[..., 0]) * (bb_gt[..., 3] - bb_gt[..., 1]) - wh) - return(o) - - -def convert_bbox_to_z(bbox): - """ - Takes a bounding box in the form [x1,y1,x2,y2] and returns z in the form - [x,y,s,r] where x,y is the centre of the box and s is the scale/area and r is - the aspect ratio - """ - w = bbox[2] - bbox[0] - h = bbox[3] - bbox[1] - x = bbox[0] + w/2. - y = bbox[1] + h/2. - s = w * h #scale is just area - r = w / float(h) - return np.array([x, y, s, r]).reshape((4, 1)) - - -def convert_x_to_bbox(x,score=None): - """ - Takes a bounding box in the centre form [x,y,s,r] and returns it in the form - [x1,y1,x2,y2] where x1,y1 is the top left and x2,y2 is the bottom right - """ - w = np.sqrt(x[2] * x[3]) - h = x[2] / w - if(score==None): - return np.array([x[0]-w/2.,x[1]-h/2.,x[0]+w/2.,x[1]+h/2.]).reshape((1,4)) - else: - return np.array([x[0]-w/2.,x[1]-h/2.,x[0]+w/2.,x[1]+h/2.,score]).reshape((1,5)) - - -class KalmanBoxTracker(object): - """ - This class represents the internal state of individual tracked objects observed as bbox. - """ - count = 0 - def __init__(self,bbox): - """ - Initialises a tracker using initial bounding box. - """ - #define constant velocity model - self.kf = KalmanFilter(dim_x=7, dim_z=4) - self.kf.F = np.array([[1,0,0,0,1,0,0],[0,1,0,0,0,1,0],[0,0,1,0,0,0,1],[0,0,0,1,0,0,0], [0,0,0,0,1,0,0],[0,0,0,0,0,1,0],[0,0,0,0,0,0,1]]) - self.kf.H = np.array([[1,0,0,0,0,0,0],[0,1,0,0,0,0,0],[0,0,1,0,0,0,0],[0,0,0,1,0,0,0]]) - - self.kf.R[2:,2:] *= 10. - self.kf.P[4:,4:] *= 1000. #give high uncertainty to the unobservable initial velocities - self.kf.P *= 10. - self.kf.Q[-1,-1] *= 0.01 - self.kf.Q[4:,4:] *= 0.01 - - self.kf.x[:4] = convert_bbox_to_z(bbox) - self.time_since_update = 0 - self.id = KalmanBoxTracker.count - KalmanBoxTracker.count += 1 - self.history = [] - self.hits = 0 - self.hit_streak = 0 - self.age = 0 - - def update(self,bbox): - """ - Updates the state vector with observed bbox. - """ - self.time_since_update = 0 - self.history = [] - self.hits += 1 - self.hit_streak += 1 - self.kf.update(convert_bbox_to_z(bbox)) - - def predict(self): - """ - Advances the state vector and returns the predicted bounding box estimate. - """ - if((self.kf.x[6]+self.kf.x[2])<=0): - self.kf.x[6] *= 0.0 - self.kf.predict() - self.age += 1 - if(self.time_since_update>0): - self.hit_streak = 0 - self.time_since_update += 1 - self.history.append(convert_x_to_bbox(self.kf.x)) - return self.history[-1] - - def get_state(self): - """ - Returns the current bounding box estimate. - """ - return convert_x_to_bbox(self.kf.x) - - -def associate_detections_to_trackers(detections,trackers,iou_threshold = 0.3): - """ - Assigns detections to tracked object (both represented as bounding boxes) - - Returns 3 lists of matches, unmatched_detections and unmatched_trackers - """ - if(len(trackers)==0): - return np.empty((0,2),dtype=int), np.arange(len(detections)), np.empty((0,5),dtype=int) - - iou_matrix = iou_batch(detections, trackers) - - if min(iou_matrix.shape) > 0: - a = (iou_matrix > iou_threshold).astype(np.int32) - if a.sum(1).max() == 1 and a.sum(0).max() == 1: - matched_indices = np.stack(np.where(a), axis=1) - else: - matched_indices = linear_assignment(-iou_matrix) - else: - matched_indices = np.empty(shape=(0,2)) - - unmatched_detections = [] - for d, det in enumerate(detections): - if(d not in matched_indices[:,0]): - unmatched_detections.append(d) - unmatched_trackers = [] - for t, trk in enumerate(trackers): - if(t not in matched_indices[:,1]): - unmatched_trackers.append(t) - - #filter out matched with low IOU - matches = [] - for m in matched_indices: - if(iou_matrix[m[0], m[1]]= self.min_hits or self.frame_count <= self.min_hits): - ret.append(np.concatenate((d,[trk.id+1])).reshape(1,-1)) # +1 as MOT benchmark requires positive - i -= 1 - # remove dead tracklet - if(trk.time_since_update > self.max_age): - self.trackers.pop(i) - if(len(ret)>0): - return np.concatenate(ret) - return np.empty((0,5)) - -def parse_args(): - """Parse input arguments.""" - parser = argparse.ArgumentParser(description='SORT demo') - parser.add_argument('--display', dest='display', help='Display online tracker output (slow) [False]',action='store_true') - parser.add_argument("--seq_path", help="Path to detections.", type=str, default='data') - parser.add_argument("--phase", help="Subdirectory in seq_path.", type=str, default='train') - parser.add_argument("--max_age", - help="Maximum number of frames to keep alive a track without associated detections.", - type=int, default=1) - parser.add_argument("--min_hits", - help="Minimum number of associated detections before track is initialised.", - type=int, default=3) - parser.add_argument("--iou_threshold", help="Minimum IOU for match.", type=float, default=0.3) - args = parser.parse_args() - return args - -if __name__ == '__main__': - # all train - args = parse_args() - display = args.display - phase = args.phase - total_time = 0.0 - total_frames = 0 - colours = np.random.rand(32, 3) #used only for display - if(display): - if not os.path.exists('mot_benchmark'): - print('\n\tERROR: mot_benchmark link not found!\n\n Create a symbolic link to the MOT benchmark\n (https://motchallenge.net/data/2D_MOT_2015/#download). E.g.:\n\n $ ln -s /path/to/MOT2015_challenge/2DMOT2015 mot_benchmark\n\n') - exit() - plt.ion() - fig = plt.figure() - ax1 = fig.add_subplot(111, aspect='equal') - - if not os.path.exists('output'): - os.makedirs('output') - pattern = os.path.join(args.seq_path, phase, '*', 'det', 'det.txt') - for seq_dets_fn in glob.glob(pattern): - mot_tracker = Sort(max_age=args.max_age, - min_hits=args.min_hits, - iou_threshold=args.iou_threshold) #create instance of the SORT tracker - seq_dets = np.loadtxt(seq_dets_fn, delimiter=',') - seq = seq_dets_fn[pattern.find('*'):].split(os.path.sep)[0] - - with open(os.path.join('output', '%s.txt'%(seq)),'w') as out_file: - print("Processing %s."%(seq)) - for frame in range(int(seq_dets[:,0].max())): - frame += 1 #detection and frame numbers begin at 1 - dets = seq_dets[seq_dets[:, 0]==frame, 2:7] - dets[:, 2:4] += dets[:, 0:2] #convert to [x1,y1,w,h] to [x1,y1,x2,y2] - total_frames += 1 - - if(display): - fn = os.path.join('mot_benchmark', phase, seq, 'img1', '%06d.jpg'%(frame)) - im =io.imread(fn) - ax1.imshow(im) - plt.title(seq + ' Tracked Targets') - - start_time = time.time() - trackers = mot_tracker.update(dets) - cycle_time = time.time() - start_time - total_time += cycle_time - - for d in trackers: - print('%d,%d,%.2f,%.2f,%.2f,%.2f,1,-1,-1,-1'%(frame,d[4],d[0],d[1],d[2]-d[0],d[3]-d[1]),file=out_file) - if(display): - d = d.astype(np.int32) - ax1.add_patch(patches.Rectangle((d[0],d[1]),d[2]-d[0],d[3]-d[1],fill=False,lw=3,ec=colours[d[4]%32,:])) - - if(display): - fig.canvas.flush_events() - plt.draw() - ax1.cla() - - print("Total Tracking took: %.3f seconds for %d frames or %.1f FPS" % (total_time, total_frames, total_frames / total_time)) - - if(display): - print("Note: to get real runtime results run without the option: --display") diff --git a/train_batch0.jpg b/train_batch0.jpg new file mode 100644 index 0000000..9655e4d Binary files /dev/null and b/train_batch0.jpg differ diff --git a/train_batch1.jpg b/train_batch1.jpg new file mode 100644 index 0000000..5b85875 Binary files /dev/null and b/train_batch1.jpg differ diff --git a/train_batch2.jpg b/train_batch2.jpg new file mode 100644 index 0000000..2a7f6ae Binary files /dev/null and b/train_batch2.jpg differ diff --git a/ultralytics_rc_output/.DS_Store b/ultralytics_rc_output/.DS_Store deleted file mode 100644 index 432e152..0000000 Binary files a/ultralytics_rc_output/.DS_Store and /dev/null differ diff --git a/ultralytics_rc_output/exp/seppevideo.mp4 b/ultralytics_rc_output/exp/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp10/boxingvideo.mp4 b/ultralytics_rc_output/exp10/boxingvideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp10/boxingvideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp11/seppevideo.mp4 b/ultralytics_rc_output/exp11/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp11/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp12/439864136_723631196345435_2044171968751807576_n.jpg b/ultralytics_rc_output/exp12/439864136_723631196345435_2044171968751807576_n.jpg deleted file mode 100644 index a0e2b42..0000000 Binary files a/ultralytics_rc_output/exp12/439864136_723631196345435_2044171968751807576_n.jpg and /dev/null differ diff --git a/ultralytics_rc_output/exp12/seppevideo.mp4 b/ultralytics_rc_output/exp12/seppevideo.mp4 deleted file mode 100644 index 5e5e498..0000000 --- a/ultralytics_rc_output/exp12/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e19b78a341950cd8e7429eca895c06102c4df64299ab657970e77554f87aee8b -size 57933868 diff --git a/ultralytics_rc_output/exp13/seppevideo.mp4 b/ultralytics_rc_output/exp13/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp13/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp14/ghentbycar.mp4 b/ultralytics_rc_output/exp14/ghentbycar.mp4 deleted file mode 100644 index 7ccd7da..0000000 --- a/ultralytics_rc_output/exp14/ghentbycar.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d5f9b14cb342068dd6f5e33ef3cbef4ec48b6100727ae027ac54154bb418d2dc -size 32395168 diff --git a/ultralytics_rc_output/exp2/seppevideo.mp4 b/ultralytics_rc_output/exp2/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp2/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp3/seppevideo.mp4 b/ultralytics_rc_output/exp3/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp3/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp4/seppevideo.mp4 b/ultralytics_rc_output/exp4/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp4/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp5/seppevideo.mp4 b/ultralytics_rc_output/exp5/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp5/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp6/seppevideo.mp4 b/ultralytics_rc_output/exp6/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp6/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp7/seppevideo.mp4 b/ultralytics_rc_output/exp7/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp7/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp8/seppevideo.mp4 b/ultralytics_rc_output/exp8/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp8/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/ultralytics_rc_output/exp9/seppevideo.mp4 b/ultralytics_rc_output/exp9/seppevideo.mp4 deleted file mode 100644 index 099f1b9..0000000 --- a/ultralytics_rc_output/exp9/seppevideo.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c49e746a39977a8658eb1293ddecf13326b66b5a8e48d5482c27db1bf8983cd -size 44 diff --git a/utils.py b/utils.py deleted file mode 100644 index e69de29..0000000 diff --git a/val_batch0_labels.jpg b/val_batch0_labels.jpg new file mode 100644 index 0000000..03baf9f Binary files /dev/null and b/val_batch0_labels.jpg differ diff --git a/val_batch0_pred.jpg b/val_batch0_pred.jpg new file mode 100644 index 0000000..059c3f6 Binary files /dev/null and b/val_batch0_pred.jpg differ diff --git a/val_batch1_labels.jpg b/val_batch1_labels.jpg new file mode 100644 index 0000000..05c3fc3 Binary files /dev/null and b/val_batch1_labels.jpg differ diff --git a/val_batch1_pred.jpg b/val_batch1_pred.jpg new file mode 100644 index 0000000..689a705 Binary files /dev/null and b/val_batch1_pred.jpg differ diff --git a/val_batch2_labels.jpg b/val_batch2_labels.jpg new file mode 100644 index 0000000..91c680a Binary files /dev/null and b/val_batch2_labels.jpg differ diff --git a/val_batch2_pred.jpg b/val_batch2_pred.jpg new file mode 100644 index 0000000..b9a0cf4 Binary files /dev/null and b/val_batch2_pred.jpg differ diff --git a/videoinference.py b/videoinference.py deleted file mode 100644 index cd6bdc4..0000000 --- a/videoinference.py +++ /dev/null @@ -1,28 +0,0 @@ -import supervision as sv -from rfdetr import RFDETRBase -from rfdetr.util.coco_classes import COCO_CLASSES - -# Load the RF-DETR model -model = RFDETRBase() - -# Define callback function to annotate each frame -def callback(frame, index): - detections = model.predict(frame, threshold=0.5) - - labels = [ - f"{COCO_CLASSES[class_id]} {confidence:.2f}" - for class_id, confidence - in zip(detections.class_id, detections.confidence) - ] - - annotated_frame = frame.copy() - annotated_frame = sv.BoxAnnotator().annotate(annotated_frame, detections) - annotated_frame = sv.LabelAnnotator().annotate(annotated_frame, detections, labels) - return annotated_frame - -# Process the video with object detection -sv.process_video( - source_path="paris.mp4", - target_path="annotated_paris.mp4", - callback=callback -) diff --git a/voetbal.py b/voetbal.py deleted file mode 100644 index 6089773..0000000 --- a/voetbal.py +++ /dev/null @@ -1,115 +0,0 @@ -from roboflow import Roboflow -import clearml -from ultralytics import YOLO -import cv2 -import numpy as np -from collections import defaultdict -import numpy as np -from IPython.display import Image, display -import io - -# Download the dataset stored on Roboflow -rf = Roboflow(api_key="lvJtfzYNSRQrGmcNtdUd") -project = rf.workspace().project("fcberdi") -model = project.version(1).model -dataset = project.version(1).download("yolov8") - - -# Connecting ClearML with the current process (Colab notebook) -clearml.browser_login() - -# Define model & data path -model = YOLO('yolov8m-football.pt') -DATASET_PATH = "/Users/pascal/Desktop/fcberdi.v1i.yolov8/data.yaml" - -# Train the model with CUDA or MPS -results = model.train(data=DATASET_PATH, epochs=10, imgsz=320) - -# Define video path & model path -MODEL_PATH = '/Users/pascal/desktop/yolov8m-football-1.pt' -VIDEO_PATH = '/Users/pascal/desktop/soccer.mp4' -OUTPUT_VIDEO_PATH = '/Users/pascal/desktop/soccerrrr_output.mp4' - -def detect_on_frame(model_path, video_path, frame_number, conf_threshold=0.35): - """Extracts a specific frame from a video, runs YOLOv8 detection on it, and displays the result. - - Args: - model_path (str): Path to the YOLO model file. - video_path (str): Path to the input video file. - frame_number (int): The frame number to extract and process. - conf_threshold (float, optional): Confidence threshold for YOLO model detection. Defaults to 0.35. - """ - - model = YOLO(model_path) - - cap = cv2.VideoCapture(video_path) - cap.set(cv2.CAP_PROP_POS_FRAMES, frame_number) - success, frame = cap.read() - cap.release() - - if success: - # Run YOLOv8 inference on the frame and visualize the results - results = model(frame, conf=conf_threshold) - annotated_frame = results[0].plot() - _, encoded_image = cv2.imencode('.png', annotated_frame) - ipy_img = Image(data=encoded_image.tobytes()) - display(ipy_img) - else: - print(f"Failed to read the frame at position {frame_number} from the video.") - -# Detect on a single frame from the video -FRAME_NUMBER = 500 -detect_on_frame(MODEL_PATH, VIDEO_PATH, FRAME_NUMBER, 0.5) - -def process_and_detect_on_video(model_path, video_path, output_path=None, display_video=False, conf_threshold=0.5): - """Process a video file with YOLO model, optionally save and display the output. - - Args: - model_path (str): Path to the YOLO model file. - video_path (str): Path to the input video file. - output_path (str, optional): Path where the output video will be saved. If None, the video won't be saved. - display_video (bool): Whether to display the video during processing. - conf_threshold (float): Confidence threshold for YOLO model detection. - """ - - model = YOLO(model_path) - - cap = cv2.VideoCapture(video_path) - out = None - if output_path: - frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) - frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) - frame_rate = int(cap.get(cv2.CAP_PROP_FPS)) - fourcc = cv2.VideoWriter_fourcc(*'mp4v') - out = cv2.VideoWriter(output_path, fourcc, frame_rate, (frame_width, frame_height)) - - try: - while cap.isOpened(): - success, frame = cap.read() - if not success: - break - - results = model(frame, conf=conf_threshold) - annotated_frame = results[0].plot() - - if out: - out.write(annotated_frame) - - if display_video: - cv2.imshow("YOLOv8 Inference", annotated_frame) - # Press Q on the keyboard to exit when displaying the video - if cv2.waitKey(1) & 0xFF == ord('q'): - break - - except Exception as e: - print(f"An error occurred: {e}") - - finally: - cap.release() - if out: - out.release() - if display_video: - cv2.destroyAllWindows() - -# Process and detect on the video -process_and_detect_on_video(MODEL_PATH, VIDEO_PATH, OUTPUT_VIDEO_PATH, display_video=False, conf_threshold=0.5) \ No newline at end of file diff --git a/best.pt b/weights/best.pt similarity index 99% rename from best.pt rename to weights/best.pt index b98cc4f..8e7701b 100644 Binary files a/best.pt and b/weights/best.pt differ diff --git a/weights/last.pt b/weights/last.pt new file mode 100644 index 0000000..12fad4e Binary files /dev/null and b/weights/last.pt differ diff --git a/yolov5_players_and_ball.pt b/yolov5_players_and_ball.pt deleted file mode 100644 index 1da6db8..0000000 Binary files a/yolov5_players_and_ball.pt and /dev/null differ diff --git a/yolov8-soccer.pt b/yolov8-soccer.pt deleted file mode 100644 index a2184f7..0000000 Binary files a/yolov8-soccer.pt and /dev/null differ diff --git a/yolov8n-football.pt b/yolov8n-football.pt deleted file mode 100644 index 55ff1ed..0000000 Binary files a/yolov8n-football.pt and /dev/null differ diff --git a/yolov8n-pose.pt b/yolov8n-pose.pt deleted file mode 100644 index 6ad23ab..0000000 Binary files a/yolov8n-pose.pt and /dev/null differ diff --git a/yolov8n-seg.pt b/yolov8n-seg.pt deleted file mode 100644 index 6d8d8b5..0000000 Binary files a/yolov8n-seg.pt and /dev/null differ diff --git a/yolov8n.pt b/yolov8n.pt deleted file mode 100644 index d61ef50..0000000 Binary files a/yolov8n.pt and /dev/null differ diff --git a/yolov8s-pose.pt b/yolov8s-pose.pt deleted file mode 100644 index 0153290..0000000 Binary files a/yolov8s-pose.pt and /dev/null differ diff --git a/yolov8s.pt b/yolov8s.pt deleted file mode 100644 index 5f7efb1..0000000 Binary files a/yolov8s.pt and /dev/null differ