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Merge pull request #1369 from seavphing/improve-dockerfile
improve Dockerfile to use entrypoint in order to get better log when …
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commit
81fd5a4bb5
15
Dockerfile
15
Dockerfile
@ -7,14 +7,21 @@ LABEL org.opencontainers.image.source https://github.com/serengil/deepface
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RUN mkdir /app
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RUN mkdir /app
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RUN mkdir /app/deepface
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RUN mkdir /app/deepface
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# -----------------------------------
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# -----------------------------------
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# switch to application directory
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# switch to application directory
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WORKDIR /app
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WORKDIR /app
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# -----------------------------------
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# -----------------------------------
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# update image os
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# update image os
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RUN apt-get update
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# Install system dependencies
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RUN apt-get install ffmpeg libsm6 libxext6 -y
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RUN apt-get update && apt-get install -y \
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ffmpeg \
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libsm6 \
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libxext6 \
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libhdf5-dev \
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&& rm -rf /var/lib/apt/lists/*
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# -----------------------------------
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# -----------------------------------
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# Copy required files from repo into image
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# Copy required files from repo into image
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@ -25,6 +32,7 @@ COPY ./requirements_local /app/requirements_local.txt
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COPY ./package_info.json /app/
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COPY ./package_info.json /app/
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COPY ./setup.py /app/
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COPY ./setup.py /app/
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COPY ./README.md /app/
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COPY ./README.md /app/
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COPY ./entrypoint.sh /app/deepface/api/src/entrypoint.sh
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# -----------------------------------
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# -----------------------------------
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# if you plan to use a GPU, you should install the 'tensorflow-gpu' package
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# if you plan to use a GPU, you should install the 'tensorflow-gpu' package
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@ -55,4 +63,5 @@ ENV PYTHONUNBUFFERED=1
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# run the app (re-configure port if necessary)
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# run the app (re-configure port if necessary)
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WORKDIR /app/deepface/api/src
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WORKDIR /app/deepface/api/src
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EXPOSE 5000
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EXPOSE 5000
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CMD ["gunicorn", "--workers=1", "--timeout=3600", "--bind=0.0.0.0:5000", "app:create_app()"]
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# CMD ["gunicorn", "--workers=1", "--timeout=3600", "--bind=0.0.0.0:5000", "app:create_app()"]
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ENTRYPOINT [ "sh", "entrypoint.sh" ]
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5
entrypoint.sh
Normal file
5
entrypoint.sh
Normal file
@ -0,0 +1,5 @@
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# Example content
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echo "Starting the application..."
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exec "$@"
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gunicorn -w 1 -b 0.0.0.0:5000 --timeout 7200 --log-level 'debug' --access-logfile - --access-logformat '%(h)s - - [%(t)s] "%(r)s" %(s)s %(b)s %(L)s' app:create_app
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@ -2,5 +2,5 @@ numpy==1.22.3
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pandas==2.0.3
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pandas==2.0.3
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Pillow==9.0.0
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Pillow==9.0.0
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opencv-python==4.9.0.80
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opencv-python==4.9.0.80
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tensorflow==2.9.0
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tensorflow==2.13.1
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keras==2.9.0
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keras==2.13.1
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