blakeblackshear.frigate/Dockerfile

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FROM ubuntu:16.04
# Install system packages
RUN apt-get -qq update && apt-get -qq install --no-install-recommends -y python3 \
python3-dev \
python-pil \
python-lxml \
python-tk \
build-essential \
cmake \
git \
libgtk2.0-dev \
pkg-config \
libavcodec-dev \
libavformat-dev \
libswscale-dev \
libtbb2 \
libtbb-dev \
libjpeg-dev \
libpng-dev \
libtiff-dev \
libjasper-dev \
libdc1394-22-dev \
x11-apps \
wget \
vim \
ffmpeg \
unzip \
libusb-1.0-0-dev \
python3-setuptools \
python3-numpy \
zlib1g-dev \
libgoogle-glog-dev \
swig \
libunwind-dev \
libc++-dev \
libc++abi-dev \
build-essential \
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&& rm -rf /var/lib/apt/lists/*
# Install core packages
RUN wget -q -O /tmp/get-pip.py --no-check-certificate https://bootstrap.pypa.io/get-pip.py && python3 /tmp/get-pip.py
RUN pip install -U pip \
numpy \
pillow \
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matplotlib \
notebook \
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Flask \
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imutils \
paho-mqtt \
PyYAML
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# Install tensorflow models object detection
RUN GIT_SSL_NO_VERIFY=true git clone -q https://github.com/tensorflow/models /usr/local/lib/python3.5/dist-packages/tensorflow/models
RUN wget -q -P /usr/local/src/ --no-check-certificate https://github.com/google/protobuf/releases/download/v3.5.1/protobuf-python-3.5.1.tar.gz
# Download & build protobuf-python
RUN cd /usr/local/src/ \
&& tar xf protobuf-python-3.5.1.tar.gz \
&& rm protobuf-python-3.5.1.tar.gz \
&& cd /usr/local/src/protobuf-3.5.1/ \
&& ./configure \
&& make \
&& make install \
&& ldconfig \
&& rm -rf /usr/local/src/protobuf-3.5.1/
# Download & build OpenCV
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RUN wget -q -P /usr/local/src/ --no-check-certificate https://github.com/opencv/opencv/archive/4.0.1.zip
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RUN cd /usr/local/src/ \
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&& unzip 4.0.1.zip \
&& rm 4.0.1.zip \
&& cd /usr/local/src/opencv-4.0.1/ \
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&& mkdir build \
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&& cd /usr/local/src/opencv-4.0.1/build \
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&& cmake -D CMAKE_INSTALL_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local/ .. \
&& make -j4 \
&& make install \
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&& rm -rf /usr/local/src/opencv-4.0.1
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# Download and install EdgeTPU libraries
RUN wget -q -O edgetpu_api.tar.gz --no-check-certificate http://storage.googleapis.com/cloud-iot-edge-pretrained-models/edgetpu_api.tar.gz
RUN tar xzf edgetpu_api.tar.gz \
&& cd python-tflite-source \
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&& cp -p libedgetpu/libedgetpu_x86_64.so /lib/x86_64-linux-gnu/libedgetpu.so \
&& cp edgetpu/swig/compiled_so/_edgetpu_cpp_wrapper_x86_64.so edgetpu/swig/_edgetpu_cpp_wrapper.so \
&& cp edgetpu/swig/compiled_so/edgetpu_cpp_wrapper.py edgetpu/swig/ \
&& python3 setup.py develop --user
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# Minimize image size
RUN (apt-get autoremove -y; \
apt-get autoclean -y)
# Set TF object detection available
ENV PYTHONPATH "$PYTHONPATH:/usr/local/lib/python3.5/dist-packages/tensorflow/models/research:/usr/local/lib/python3.5/dist-packages/tensorflow/models/research/slim"
RUN cd /usr/local/lib/python3.5/dist-packages/tensorflow/models/research && protoc object_detection/protos/*.proto --python_out=.
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WORKDIR /opt/frigate/
ADD frigate frigate/
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COPY detect_objects.py .
CMD ["python3", "-u", "detect_objects.py"]
# WORKDIR /python-tflite-source/edgetpu/
# CMD ["python3", "-u", "demo/classify_image.py", "--model", "test_data/mobilenet_v2_1.0_224_inat_bird_quant_edgetpu.tflite", "--label", "test_data/inat_bird_labels.txt", "--image", "test_data/parrot.jpg"]