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cvat/utils/open_model_zoo/yolov3
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himalayanZephyr 1af9105bb1 Yolov3 interpretration script fix for 'Annotation failed' and changes to mapping.json (#896) (#912) 6 years ago
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README.md added in yolo auto annotation sciprt (#794) 6 years ago
interp.py Yolov3 interpretration script fix for 'Annotation failed' and changes to mapping.json (#896) (#912) 6 years ago
mapping.json Yolov3 interpretration script fix for 'Annotation failed' and changes to mapping.json (#896) (#912) 6 years ago

README.md

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.

$ pip3 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]