YOLO ROS: Real-Time Object Detection for ROS
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Updated
Jul 19, 2024 - C++
YOLO ROS: Real-Time Object Detection for ROS
Real-time people tracking using a 3D LIDAR
Odin: Pose estimation-based tracking and counting of people in videos
[ROS package] Online Learning for Human Detection in 3D Point Clouds
YOLOv8 re-implementation for human detection using PyTorch
A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.
Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
yolov3 tensorflow object detection and report human movements in persian
It is a Pedestrian(Human) Detection which is developed using OpenCV Python
分别使用OpenCV、ONNXRuntime部署FreeYOLO目标检测,总共包含143个onnx模型,有COCO目标检测,人脸检测,密集行人检测的三种检测功能,依然是包含C++和Python两个版本的程序
A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737
EU funded Horizon 2020 project
Next generation videoconference system
Count pushups from video/webcam - Version 2 - With Daisykit. Tech stack: Human detection, MoveNet human pose detection, Daisykit.
High performance human detector
Welcome to the YOLOv8 Human Detection Beginner's Repository – your entry point into the exciting world of object detection! This repository is tailored for beginners, providing a straightforward implementation of YOLOv8 for human detection in images and videos.
A web-app to detect humans in a picture, video, or using webcam.
Depth-Based Region-of-Interest (ROI) Selection
A camera recorder with human detection AI project
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