mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
b345571a63
Inference speed went from ~470ms to ~530ms, however average confidence went from ~75% to ~90%+
58 lines
2.3 KiB
Docker
Executable File
58 lines
2.3 KiB
Docker
Executable File
FROM ubuntu:18.04
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LABEL maintainer "blakeb@blakeshome.com"
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ENV DEBIAN_FRONTEND=noninteractive
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# Install packages for apt repo
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RUN apt -qq update && apt -qq install --no-install-recommends -y \
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software-properties-common \
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# apt-transport-https ca-certificates \
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build-essential \
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gnupg wget unzip tzdata \
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# libcap-dev \
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&& add-apt-repository ppa:deadsnakes/ppa -y \
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&& apt -qq install --no-install-recommends -y \
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python3.7 \
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python3.7-dev \
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python3-pip \
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ffmpeg \
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# VAAPI drivers for Intel hardware accel
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libva-drm2 libva2 i965-va-driver vainfo \
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&& python3.7 -m pip install -U wheel setuptools \
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&& python3.7 -m pip install -U \
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opencv-python-headless \
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# python-prctl \
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numpy \
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imutils \
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scipy \
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&& python3.7 -m pip install -U \
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Flask \
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paho-mqtt \
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PyYAML \
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matplotlib \
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pyarrow \
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&& echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" > /etc/apt/sources.list.d/coral-edgetpu.list \
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&& wget -q -O - https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key add - \
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&& apt -qq update \
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&& echo "libedgetpu1-max libedgetpu/accepted-eula boolean true" | debconf-set-selections \
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&& apt -qq install --no-install-recommends -y \
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libedgetpu1-max \
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## Tensorflow lite (python 3.7 only)
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&& wget -q https://dl.google.com/coral/python/tflite_runtime-2.1.0.post1-cp37-cp37m-linux_x86_64.whl \
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&& python3.7 -m pip install tflite_runtime-2.1.0.post1-cp37-cp37m-linux_x86_64.whl \
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&& rm tflite_runtime-2.1.0.post1-cp37-cp37m-linux_x86_64.whl \
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&& rm -rf /var/lib/apt/lists/* \
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&& (apt-get autoremove -y; apt-get autoclean -y)
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# get model and labels
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RUN wget -q https://github.com/google-coral/edgetpu/raw/master/test_data/mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite -O /edgetpu_model.tflite --trust-server-names
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RUN wget -q https://dl.google.com/coral/canned_models/coco_labels.txt -O /labelmap.txt --trust-server-names
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RUN wget -q https://github.com/google-coral/edgetpu/raw/master/test_data/mobilenet_ssd_v2_coco_quant_postprocess.tflite -O /cpu_model.tflite
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WORKDIR /opt/frigate/
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ADD frigate frigate/
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COPY detect_objects.py .
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COPY benchmark.py .
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CMD ["python3.7", "-u", "detect_objects.py"]
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