mirror of https://github.com/open-mmlab/mmyolo.git
[Feature] Make docker image smaller (#67)
* [Feature] Make docker image smaller * Improve doc * Improve doc * Improve doc * Improve docpull/137/head
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5eb6094565
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@ -4,9 +4,10 @@ ARG CUDNN="8"
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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6+PTX"
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ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
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ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"
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ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6+PTX" \
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TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
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CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" \
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FORCE_CUDA="1"
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RUN rm /etc/apt/sources.list.d/cuda.list \
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&& rm /etc/apt/sources.list.d/nvidia-ml.list \
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@ -15,7 +16,8 @@ RUN rm /etc/apt/sources.list.d/cuda.list \
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&& apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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# (Optional)
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# RUN sed -i 's/http:\/\/archive.ubuntu.com\/ubuntu\//http:\/\/mirrors.aliyun.com\/ubuntu\//g' /etc/apt/sources.list
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# RUN sed -i 's/http:\/\/archive.ubuntu.com\/ubuntu\//http:\/\/mirrors.aliyun.com\/ubuntu\//g' /etc/apt/sources.list && \
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# pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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RUN apt-get update \
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&& apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 \
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@ -23,12 +25,12 @@ RUN apt-get update \
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&& rm -rf /var/lib/apt/lists/*
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# Install MMEngine , MMCV and MMDet
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RUN pip install openmim
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RUN mim install mmengine "mmcv>=2.0.0rc1" "mmdet>=3.0.0rc0"
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RUN pip install --no-cache-dir openmim && \
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mim install --no-cache-dir mmengine "mmcv>=2.0.0rc1" "mmdet>=3.0.0rc0"
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# Install MMYOLO
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RUN conda clean --all
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RUN git clone https://github.com/open-mmlab/mmyolo.git /mmyolo
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RUN git clone https://github.com/open-mmlab/mmyolo.git /mmyolo && \
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cd /mmyolo && \
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mim install --no-cache-dir -e .
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WORKDIR /mmyolo
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ENV FORCE_CUDA="1"
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RUN mim install -e .
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@ -214,13 +214,23 @@ Within Jupyter, the exclamation mark `!` is used to call external executables an
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We provide a [Dockerfile](https://github.com/open-mmlab/mmyolo/blob/master/docker/Dockerfile) to build an image. Ensure that your [docker version](https://docs.docker.com/engine/install/) >=19.03.
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Reminder: If you find out that your download speed is very slow, we suggest that you can canceling the comments in the last two lines of `Optional` in the [Dockerfile](https://github.com/open-mmlab/mmyolo/blob/master/docker/Dockerfile#L19-L20) to obtain a rocket like download speed:
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```dockerfile
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# (Optional)
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RUN sed -i 's/http:\/\/archive.ubuntu.com\/ubuntu\//http:\/\/mirrors.aliyun.com\/ubuntu\//g' /etc/apt/sources.list && \
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pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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```
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Build Command:
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```shell
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# build an image with PyTorch 1.9, CUDA 11.1
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# If you prefer other versions, just modified the Dockerfile
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docker build -t mmyolo docker/
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```
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Run it with
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Run it with:
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```shell
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export DATA_DIR=/path/to/your/dataset
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@ -219,6 +219,16 @@ print(mmyolo.__version__)
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我们提供了一个 [Dockerfile](https://github.com/open-mmlab/mmyolo/blob/master/docker/Dockerfile) 来构建一个镜像。请确保你的 [docker版本](https://docs.docker.com/engine/install/) >=`19.03`。
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温馨提示;国内用户建议取消掉 [Dockerfile](https://github.com/open-mmlab/mmyolo/blob/master/docker/Dockerfile#L19-L20) 里面 `Optional` 后两行的注释,可以获得火箭一般的下载提速:
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```dockerfile
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# (Optional)
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RUN sed -i 's/http:\/\/archive.ubuntu.com\/ubuntu\//http:\/\/mirrors.aliyun.com\/ubuntu\//g' /etc/apt/sources.list && \
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pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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```
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构建命令:
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```shell
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# build an image with PyTorch 1.9, CUDA 11.1
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# If you prefer other versions, just modified the Dockerfile
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