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revamp dockerfile
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Blake Blackshear
parent
cc2abe93a6
commit
10dc56f6ea
124
Dockerfile
124
Dockerfile
@ -1,108 +1,48 @@
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FROM ubuntu:18.04
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ARG DEVICE
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FROM debian:buster-slim
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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-get -qq update && apt-get -qq install --no-install-recommends -y \
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apt-transport-https \
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ca-certificates \
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curl \
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wget \
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gnupg-agent \
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dirmngr \
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software-properties-common \
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&& rm -rf /var/lib/apt/lists/*
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COPY scripts/install_odroid_repo.sh .
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RUN if [ "$DEVICE" = "odroid" ]; then \
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sh /install_odroid_repo.sh; \
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fi
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RUN apt-get -qq update && apt-get -qq install --no-install-recommends -y \
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python3 \
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# OpenCV dependencies
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RUN apt -qq update && apt -qq install --no-install-recommends -y \
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gnupg wget \
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ffmpeg \
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build-essential \
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cmake \
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unzip \
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pkg-config \
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libjpeg-dev \
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libpng-dev \
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libtiff-dev \
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libavcodec-dev \
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libavformat-dev \
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libswscale-dev \
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libv4l-dev \
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libxvidcore-dev \
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libx264-dev \
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libgtk-3-dev \
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libatlas-base-dev \
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gfortran \
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python3-dev \
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# Coral USB Python API Dependencies
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libusb-1.0-0 \
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python3 \
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python3-pip \
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python3-pil \
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python3-numpy \
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python3-prctl \
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libc++1 \
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libc++abi1 \
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libunwind8 \
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libgcc1 \
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# python-prctl
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build-essential libcap-dev \
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# pillow-simd
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zlib1g-dev libjpeg-dev python3-dev\
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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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&& rm -rf /var/lib/apt/lists/*
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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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python3-edgetpu \
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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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# Download & build OpenCV
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# TODO: use multistage build to reduce image size:
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# https://medium.com/@denismakogon/pain-and-gain-running-opencv-application-with-golang-and-docker-on-alpine-3-7-435aa11c7aec
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# https://www.merixstudio.com/blog/docker-multi-stage-builds-python-development/
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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 \
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&& rm 4.0.1.zip \
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&& 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/ .. \
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&& make -j4 \
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&& make install \
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&& ldconfig \
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&& rm -rf /usr/local/src/opencv-4.0.1
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# needs to be installed before others
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RUN pip3 install -U wheel setuptools
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# Download and install EdgeTPU libraries for Coral
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RUN wget https://dl.google.com/coral/edgetpu_api/edgetpu_api_latest.tar.gz -O edgetpu_api.tar.gz --trust-server-names \
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&& tar xzf edgetpu_api.tar.gz
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COPY scripts/install_edgetpu_api.sh edgetpu_api/install.sh
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RUN cd edgetpu_api \
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&& /bin/bash install.sh
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# Copy a python 3.6 version
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RUN cd /usr/local/lib/python3.6/dist-packages/edgetpu/swig/ \
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&& ln -s _edgetpu_cpp_wrapper.cpython-35m-arm-linux-gnueabihf.so _edgetpu_cpp_wrapper.cpython-36m-arm-linux-gnueabihf.so
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# symlink the model and labels
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RUN wget https://dl.google.com/coral/canned_models/mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite -O mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite --trust-server-names
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RUN wget https://dl.google.com/coral/canned_models/coco_labels.txt -O coco_labels.txt --trust-server-names
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RUN ln -s mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite /frozen_inference_graph.pb
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RUN ln -s /coco_labels.txt /label_map.pbtext
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# Minimize image size
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RUN (apt-get autoremove -y; \
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apt-get autoclean -y)
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# Install core packages
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RUN wget -q -O /tmp/get-pip.py --no-check-certificate https://bootstrap.pypa.io/get-pip.py && python3 /tmp/get-pip.py
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RUN pip install -U pip \
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RUN pip3 install -U \
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opencv-python \
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python-prctl \
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numpy \
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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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scipy
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scipy \
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pillow-simd
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# symlink the 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 mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite --trust-server-names
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RUN wget -q https://dl.google.com/coral/canned_models/coco_labels.txt -O coco_labels.txt --trust-server-names
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RUN ln -s mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite /frozen_inference_graph.pb
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RUN ln -s /coco_labels.txt /label_map.pbtext
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WORKDIR /opt/frigate/
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ADD frigate frigate/
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@ -14,7 +14,7 @@ flattened_frame = np.expand_dims(frame, axis=0).flatten()
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detection_times = []
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for x in range(0, 1000):
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objects = engine.DetectWithInputTensor(flattened_frame, threshold=0.1, top_k=3)
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objects = engine.detect_with_input_tensor(flattened_frame, threshold=0.1, top_k=3)
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detection_times.append(engine.get_inference_time())
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print("Average inference time: " + str(statistics.mean(detection_times)))
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@ -32,7 +32,7 @@ class PreppedQueueProcessor(threading.Thread):
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frame = self.prepped_frame_queue.get()
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# Actual detection.
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frame['detected_objects'] = self.engine.DetectWithInputTensor(frame['frame'], threshold=0.2, top_k=5)
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frame['detected_objects'] = self.engine.detect_with_input_tensor(frame['frame'], threshold=0.2, top_k=5)
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self.fps.update()
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self.avg_inference_speed = (self.avg_inference_speed*9 + self.engine.get_inference_time())/10
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@ -152,8 +152,6 @@ class RegionRefiner(threading.Thread):
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})
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self.camera.dynamic_region_fps.update()
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look_again = True
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# TODO: zoom in on unclipped low confidence objects
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# else: ...
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# if we are looking again, then this frame is not ready for processing
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if look_again:
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