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Update CPU model to Mobilenet v2
Inference speed went from ~470ms to ~530ms, however average confidence went from ~75% to ~90%+
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@ -46,10 +46,8 @@ RUN apt -qq update && apt -qq install --no-install-recommends -y \
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# get model and labels
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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://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://dl.google.com/coral/canned_models/coco_labels.txt -O /labelmap.txt --trust-server-names
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RUN wget -q https://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip -O /cpu_model.zip && \
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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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unzip /cpu_model.zip detect.tflite -d / && \
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mv /detect.tflite /cpu_model.tflite && \
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rm /cpu_model.zip
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WORKDIR /opt/frigate/
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WORKDIR /opt/frigate/
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ADD frigate frigate/
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ADD frigate frigate/
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