Sun-ZhenXing
36 lines
1.2 KiB
Docker
36 lines
1.2 KiB
Docker
# Base image containing the vLLM inference environment, requiring amd64(x86-64) CPU + MooreThreads GPU.
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FROM registry.mthreads.com/mcconline/vllm-musa-qy2-py310:v0.8.4-release
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# Install libgl for opencv support & Noto fonts for Chinese characters
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RUN apt-get update && \
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apt-get install -y \
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fonts-noto-core \
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fonts-noto-cjk \
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fontconfig \
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libgl1 && \
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fc-cache -fv && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Install mineru latest
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RUN python3 -m pip install -U pip -i https://mirrors.aliyun.com/pypi/simple && \
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git clone https://gitcode.com/gh_mirrors/vi/vision.git -b v0.20.0 --depth 1 && \
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cd vision && \
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python3 setup.py install && \
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python3 -m pip install "mineru[gradio]>=3.0.0" \
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"ftfy>=6.3.1,<7" \
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"shapely>=2.0.7,<3" \
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"pyclipper>=1.3.0,<2" \
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"omegaconf>=2.3.0,<3" \
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numpy==1.26.4 \
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opencv-python==4.11.0.86 \
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-i https://mirrors.aliyun.com/pypi/simple && \
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python3 -m pip cache purge
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# Download models and update the configuration file
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RUN /bin/bash -c "mineru-models-download -s modelscope -m all"
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# Set the entry point to activate the virtual environment and run the command line tool
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ENTRYPOINT ["/bin/bash", "-c", "export MINERU_MODEL_SOURCE=local && exec \"$@\"", "--"]
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