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Update Dockerfile
Browse files- Dockerfile +15 -5
Dockerfile
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@@ -2,7 +2,7 @@
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FROM continuumio/miniconda3:24.1.2-0
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# install os dependencies including xauth
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RUN mkdir -p /usr/share/man/man1
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RUN apt-get update && \
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DEBIAN_FRONTEND=noninteractive apt-get install --no-install-recommends -y \
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@@ -21,6 +21,7 @@ RUN apt-get update && \
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RUN conda install python=3.8.13 -y
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RUN pip install openmim
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RUN pip install torch==2.0.0
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RUN mim install mmcv-full==1.7.0
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@@ -28,9 +29,9 @@ RUN pip install mmdet==2.27.0
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RUN pip install torchserve
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RUN pip install mmpose==0.29.0
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RUN pip install torchvision==0.15.1
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RUN pip install numpy==1.24.4 scikit-image scipy opencv-python requests pyyaml flask glfw PyOpenGL Pillow shapely tqdm
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# bugfix for xtcocoapi,
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RUN git clone https://github.com/jin-s13/xtcocoapi.git
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WORKDIR xtcocoapi
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RUN pip install -r requirements.txt
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@@ -51,6 +52,7 @@ COPY setup.py /app/setup.py
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COPY animated_drawings /app/animated_drawings
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COPY app.py /app/app.py
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COPY examples /app/examples
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RUN pip install -e .
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# Pre-create directories and set permissions
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@@ -61,5 +63,13 @@ USER appuser
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EXPOSE 7860
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# Start TorchServe
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-
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FROM continuumio/miniconda3:24.1.2-0
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# install os dependencies including xauth for xvfb
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RUN mkdir -p /usr/share/man/man1
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RUN apt-get update && \
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DEBIAN_FRONTEND=noninteractive apt-get install --no-install-recommends -y \
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RUN conda install python=3.8.13 -y
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# Install Python and model dependencies
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RUN pip install openmim
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RUN pip install torch==2.0.0
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RUN mim install mmcv-full==1.7.0
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RUN pip install torchserve
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RUN pip install mmpose==0.29.0
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RUN pip install torchvision==0.15.1
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RUN pip install numpy==1.24.4 scikit-image scipy opencv-python requests pyyaml flask glfw PyOpenGL Pillow shapely tqdm
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# bugfix for xtcocoapi, a dependency of mmpose
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RUN git clone https://github.com/jin-s13/xtcocoapi.git
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WORKDIR xtcocoapi
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RUN pip install -r requirements.txt
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COPY animated_drawings /app/animated_drawings
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COPY app.py /app/app.py
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COPY examples /app/examples
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RUN pip install -e .
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# Pre-create directories and set permissions
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EXPOSE 7860
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# Start TorchServe, warm-up models, then run the app.
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# Using xvfb-run for headless rendering.
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CMD sh -c "\
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torchserve --start --ncs --ts-config /home/torchserve/config.properties && \
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sleep 15 && \
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# Warm-up requests with a small test image to load models into memory.
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curl -X POST http://localhost:8080/predictions/drawn_humanoid_detector -F image=@/app/examples/test.png && \
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curl -X POST http://localhost:8080/predictions/drawn_humanoid_pose_estimator -F image=@/app/examples/test.png && \
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xvfb-run -a python app.py \
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"
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