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fifa-tryon-demo
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Self-Correction-Human-Parsing-for-ACGPN
/mhp_extension
/detectron2
/docker
/Dockerfile
| FROM nvidia/cuda:10.1-cudnn7-devel | |
| ENV DEBIAN_FRONTEND noninteractive | |
| RUN apt-get update && apt-get install -y \ | |
| python3-opencv ca-certificates python3-dev git wget sudo \ | |
| cmake ninja-build protobuf-compiler libprotobuf-dev && \ | |
| rm -rf /var/lib/apt/lists/* | |
| RUN ln -sv /usr/bin/python3 /usr/bin/python | |
| # create a non-root user | |
| ARG USER_ID=1000 | |
| RUN useradd -m --no-log-init --system --uid ${USER_ID} appuser -g sudo | |
| RUN echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers | |
| USER appuser | |
| WORKDIR /home/appuser | |
| ENV PATH="/home/appuser/.local/bin:${PATH}" | |
| RUN wget https://bootstrap.pypa.io/get-pip.py && \ | |
| python3 get-pip.py --user && \ | |
| rm get-pip.py | |
| # install dependencies | |
| # See https://pytorch.org/ for other options if you use a different version of CUDA | |
| RUN pip install --user tensorboard cython | |
| RUN pip install --user torch==1.5+cu101 torchvision==0.6+cu101 -f https://download.pytorch.org/whl/torch_stable.html | |
| RUN pip install --user 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI' | |
| RUN pip install --user 'git+https://github.com/facebookresearch/fvcore' | |
| # install detectron2 | |
| RUN git clone https://github.com/facebookresearch/detectron2 detectron2_repo | |
| # set FORCE_CUDA because during `docker build` cuda is not accessible | |
| ENV FORCE_CUDA="1" | |
| # This will by default build detectron2 for all common cuda architectures and take a lot more time, | |
| # because inside `docker build`, there is no way to tell which architecture will be used. | |
| ARG TORCH_CUDA_ARCH_LIST="Kepler;Kepler+Tesla;Maxwell;Maxwell+Tegra;Pascal;Volta;Turing" | |
| ENV TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST}" | |
| RUN pip install --user -e detectron2_repo | |
| # Set a fixed model cache directory. | |
| ENV FVCORE_CACHE="/tmp" | |
| WORKDIR /home/appuser/detectron2_repo | |
| # run detectron2 under user "appuser": | |
| # wget http://images.cocodataset.org/val2017/000000439715.jpg -O input.jpg | |
| # python3 demo/demo.py \ | |
| #--config-file configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml \ | |
| #--input input.jpg --output outputs/ \ | |
| #--opts MODEL.WEIGHTS detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl | |