Dockerfile

ARG PYTORCH="1.8.1"
ARG CUDA="10.2"
ARG CUDNN="7"

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))/../"

# To fix GPG key error when running apt-get update
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 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx\
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Install xtcocotools
RUN pip install cython
RUN pip install xtcocotools

# Install MMEngine and MMCV
RUN pip install openmim
RUN mim install mmengine "mmcv>=2.0.0"

# Install MMPose
RUN conda clean --all
RUN git clone https://github.com/open-mmlab/mmpose.git /mmpose
WORKDIR /mmpose
RUN git checkout main
ENV FORCE_CUDA="1"
RUN pip install -r requirements/build.txt
RUN pip install --no-cache-dir -e .

RUN mim install mmdet==3.0.0
RUN pip3 install matplotlib \
                scipy \
                Pillow \
                numpy \
                prettytable \
                easydict \
                scikit-learn \
                pyyaml \
                yacs \
                termcolor \
                tabulate \
                tensorboard \
                opencv-python \
                pyyaml \
                yacs \
                termcolor \
                scikit-learn \
                tabulate \
                gdown \
                faiss-gpu \
                lap \
                cython-bbox
RUN pip3 install ultralytics

RUN mkdir -p /home/workspace/
WORKDIR /home/workspace/