阿里天池大赛搭建mmdetection Docker镜像提交流程

1.主机上安装Docker

2.开通阿里云容器镜像服务
可以查看官方链接第二部分

3.Dockerfile

ARG PYTORCH="1.6.0"
ARG CUDA="10.1"
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))/../"
RUN pip install curl
#RUN curl -fsSL https://mirrors.aliyun.com/nvidia-cuda/ubuntu1804/x86_64/7fa2af80.pub | apt-key add -
#apt-get update&& 
# RUN apt-get install -y --no-install-recommends curl
# RUN curl -s -L https://nvidia.github.io/libnvidia-container/gpgkey | apt-key add -

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
COPY opencv_python-4.5.1.48-cp37-cp37m-manylinux2014_x86_64.whl /tmp
RUN pip install /tmp/opencv_python-4.5.1.48-cp37-cp37m-manylinux2014_x86_64.whl
RUN pip install mmcv-full==latest+torch1.6.0+cu101 -f https://openmmlab.oss-accelerate.aliyuncs.com/mmcv/dist/index.html

# Install MMDetection
RUN conda clean --all
#RUN git clone https://github.com/open-mmlab/mmdetection.git /mmdetection
ADD mmdetection-master/  mmdetection/
WORKDIR mmdetection/
ENV FORCE_CUDA="1"
RUN pip install matplotlib
RUN pip install -r requirements/build.txt
RUN pip install --no-cache-dir -e .

RUN pip install ai-hub
## 镜像启动后统一执行 sh run.sh
CMD ["sh", "run.sh"]

4.sudo docker build -t registry.cn-shanghai.aliyuncs.com/chenzy_hust/tianchi_tile:1.0 .

5.`sudo docker push registry.cn-shanghai.aliyuncs.com/chenzy_hust/tianchi_tile:1.0 '