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cvat/utils/open_model_zoo/yolov3/README.md

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Object Detection YOLO V3 Python Demo, Async API Performance Showcase

See these instructions for converting the yolo weights to the OpenVino format.

As of OpenVINO 2019 R3, only tensorflow 1.13 and NetworkX 2.3. These can be explicitly installed using the following command.

python3 -m pip install tensorflow==1.13 networkx==2.3

Additionally, at the time of writing, the model optimizer required an input shape.

python3 mo_tf.py \
    --input_model /path/to/yolo_v3.pb \
    --tensorflow_use_custom_operations_config $MO_ROOT/extensions/front/tf/yolo_v3.json \
    --input_shape [1,416,416,3]