docker/Dockerfile

ARG PYTORCH="1.9.0"
ARG CUDA="11.1"
ARG CUDNN="8"

FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX"
ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
RUN apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Install MMCV
#RUN pip install mmcv-full==1.3.8 -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html
# -f https://openmmlab.oss-accelerate.aliyuncs.com/mmcv/dist/index.html
RUN pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9.0/index.html
# Install MMDetection
RUN conda clean --all
RUN git clone https://github.com/open-mmlab/mmdetection.git /mmdetection 
WORKDIR /mmdetection
ENV FORCE_CUDA="1"
RUN cd /mmdetection && git checkout 7bd39044f35aec4b90dd797b965777541a8678ff 
RUN pip install -r requirements/build.txt
RUN pip install --no-cache-dir -e .
RUN apt-get update
RUN apt-get install -y vim 
RUN pip uninstall -y pycocotools
RUN pip install mmpycocotools timm scikit-image imagesize


# make sure we don't overwrite some existing directory called "apex"
WORKDIR /tmp/unique_for_apex
# uninstall Apex if present, twice to make absolutely sure :)
RUN pip uninstall -y apex || :
RUN pip uninstall -y apex || :
# SHA is something the user can touch to force recreation of this Docker layer,
# and therefore force cloning of the latest version of Apex
RUN SHA=ToUcHMe git clone https://github.com/NVIDIA/apex.git
WORKDIR /tmp/unique_for_apex/apex
RUN pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" .
RUN pip install seaborn sklearn imantics gradio
WORKDIR /code
ENTRYPOINT ["python", "app.py"]

#RUN git clone https://github.com/NVIDIA/apex
#RUN cd apex
#RUN pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" .
#RUN pip install -v --disable-pip-version-check --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./