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# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
#
# Build this Dockerfile by running the following commands:
#
# $ cd /path/to/your/jetson-inference
# $ docker/build.sh
#
# Also you should set your docker default-runtime to nvidia:
# https://github.com/dusty-nv/jetson-containers#docker-default-runtime
#
ARG BASE_IMAGE=nvcr.io/nvidia/l4t-pytorch:r32.4.3-pth1.6-py3
FROM ${BASE_IMAGE}
ENV DEBIAN_FRONTEND=noninteractive
ENV SHELL /bin/bash
WORKDIR /jetson-inference
#
# install development packages
#
RUN add-apt-repository --remove "deb https://apt.kitware.com/ubuntu/ $(lsb_release --codename --short) main" && \
apt-get update && \
apt-get purge -y '*opencv*' || echo "existing OpenCV installation not found" && \
apt-get install -y --no-install-recommends \
cmake \
nano \
mesa-utils \
lsb-release \
gstreamer1.0-tools \
gstreamer1.0-libav \
gstreamer1.0-rtsp \
gstreamer1.0-plugins-good \
gstreamer1.0-plugins-bad \
gstreamer1.0-plugins-ugly \
libgstreamer-plugins-base1.0-dev \
libgstreamer-plugins-good1.0-dev \
libgstreamer-plugins-bad1.0-dev && \
if [ `lsb_release --codename --short` != 'bionic' ]; then \
apt-get install -y --no-install-recommends \
gstreamer1.0-plugins-rtp; \
else echo "skipping packages unavailable for Ubuntu 18.04"; fi \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# make a copy of this cause it gets purged...
RUN mkdir -p /usr/local/include/gstreamer-1.0/gst && \
cp -r /usr/include/gstreamer-1.0/gst/webrtc /usr/local/include/gstreamer-1.0/gst && \
ls -ll /usr/local/include/ && \
ls -ll /usr/local/include/gstreamer-1.0/gst/webrtc
#
# install python packages
#
COPY python/training/detection/ssd/requirements.txt /tmp/pytorch_ssd_requirements.txt
COPY python/www/flask/requirements.txt /tmp/flask_requirements.txt
COPY python/www/dash/requirements.txt /tmp/dash_requirements.txt
RUN pip3 install --no-cache-dir --verbose --upgrade Cython && \
pip3 install --no-cache-dir --verbose -r /tmp/pytorch_ssd_requirements.txt && \
pip3 install --no-cache-dir --verbose -r /tmp/flask_requirements.txt && \
pip3 install --no-cache-dir --verbose -r /tmp/dash_requirements.txt
#
# install OpenCV (with CUDA)
#
ARG OPENCV_URL=https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz
ARG OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz
COPY docker/containers/scripts/opencv_install.sh /tmp/opencv_install.sh
RUN cd /tmp && ./opencv_install.sh ${OPENCV_URL} ${OPENCV_DEB}
#
# copy source
#
COPY c c
COPY examples examples
COPY python python
COPY tools tools
COPY utils utils
COPY data/networks/models.json data/networks/models.json
COPY CMakeLists.txt CMakeLists.txt
COPY CMakePreBuild.sh CMakePreBuild.sh
#
# build source
#
RUN mkdir docs && \
touch docs/CMakeLists.txt && \
sed -i 's/nvcaffe_parser/nvparsers/g' CMakeLists.txt && \
cp -r /usr/local/include/gstreamer-1.0/gst/webrtc /usr/include/gstreamer-1.0/gst && \
ln -s /usr/lib/$(uname -m)-linux-gnu/libgstwebrtc-1.0.so.0 /usr/lib/$(uname -m)-linux-gnu/libgstwebrtc-1.0.so && \
mkdir build && \
cd build && \
cmake ../ && \
make -j$(nproc) && \
make install && \
/bin/bash -O extglob -c "cd /jetson-inference/build; rm -rf -v !($(uname -m)|download-models.*)" && \
rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# build out-of-tree samples
RUN cd examples/my-recognition && \
mkdir build && \
cd build && \
cmake ../ && \
make
# workaround for "cannot allocate memory in static TLS block"
ENV LD_PRELOAD=${LD_PRELOAD}:/usr/lib/aarch64-linux-gnu/libgomp.so.1:/lib/aarch64-linux-gnu/libGLdispatch.so.0