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c48a187fc9
Install pip dependencies in a single Docker layer
65 lines
1.8 KiB
Docker
65 lines
1.8 KiB
Docker
FROM nvcr.io/nvidia/pytorch:19.04-py3
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RUN apt-get -y update && apt-get install -y \
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python3-pip \
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software-properties-common \
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wget \
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ffmpeg
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RUN mkdir -p /root/.torch/models
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RUN mkdir -p /data/models
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RUN wget -O /root/.torch/models/vgg16_bn-6c64b313.pth https://download.pytorch.org/models/vgg16_bn-6c64b313.pth
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RUN wget -O /root/.torch/models/resnet34-333f7ec4.pth https://download.pytorch.org/models/resnet34-333f7ec4.pth
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# if you want to avoid image building with downloading put your .pth file in root folder
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COPY Dockerfile ColorizeArtistic_gen.* /data/models/
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COPY Dockerfile ColorizeVideo_gen.* /data/models/
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RUN pip install --upgrade pip \
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&& pip install versioneer==0.18 \
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tensorboardX==1.6 \
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Flask==1.1.1 \
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pillow==6.1 \
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numpy==1.16 \
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scikit-image==0.15.0 \
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requests==2.21.0 \
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ffmpeg==1.4 \
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ffmpeg-python==0.1.17 \
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youtube-dl>=2019.4.17 \
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jupyterlab==1.2.4 \
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opencv-python>=3.3.0.10 \
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fastai==1.0.51
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ADD . /data/
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WORKDIR /data
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# force download of file if not provided by local cache
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RUN [[ ! -f /data/models/ColorizeArtistic_gen.pth ]] && wget -O /data/models/ColorizeArtistic_gen.pth https://data.deepai.org/deoldify/ColorizeArtistic_gen.pth
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RUN [[ ! -f /data/models/ColorizeVideo_gen.pth ]] && wget -O /data/models/ColorizeVideo_gen.pth https://data.deepai.org/deoldify/ColorizeVideo_gen.pth
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COPY run_notebook.sh /usr/local/bin/run_notebook
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COPY run_image_api.sh /usr/local/bin/run_image_api
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COPY run_video_api.sh /usr/local/bin/run_video_api
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RUN chmod +x /usr/local/bin/run_notebook
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RUN chmod +x /usr/local/bin/run_image_api
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RUN chmod +x /usr/local/bin/run_video_api
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EXPOSE 8888
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EXPOSE 5000
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# run notebook
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# ENTRYPOINT ["sh", "run_notebook"]
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# run image api
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# ENTRYPOINT ["sh", "run_image_api"]
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# run image api
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# ENTRYPOINT ["sh", "run_video_api"]
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