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Hi,
I'm following this official guide to convert and run YOLOv3 with OpenVino.
when I try to run model optimizer on the .pb file like this:
python3 mo_tf.py --input_model /path/to/yolo_v3.pb --tensorflow_use_custom_operations_config $MO_ROOT/extensions/front/tf/yolo_v3.json --batch 1
I get following error:
Traceback (most recent call last): File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/main.py", line 298, in main return driver(argv) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/main.py", line 247, in driver is_binary=not argv.input_model_is_text) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 136, in tf2nx class_registration.apply_replacements(graph, class_registration.ClassType.FRONT_REPLACER) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 299, in apply_replacements )) from err Exception: Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'>)": The function 'update_custom_layer_attributes' must be implemented in the sub-class.
I've attached full DEBUG log of the error.
I'm using Ubuntu 18.04, kernel version 5.0.0
Any help would be much appreciated
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Hi Andrej,
I have converted the Yolo v3 model and did not run into any errors. That should be the correct json file. Can you please attach the .pb file you are converting?
I see that you are running the last version of OpenVINO, can you please upgrade to the latest version 2020.1 and try again?
Best Regards,
Sahira
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Hi,
I've attached the model.
I am using convert_weights_pb.py from https://github.com/mystic123/tensorflow-yolo-v3 to create it from yolov3.weights downloaded from here https://pjreddie.com/media/files/yolov3.weights.
Thanks,
Andrej
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Hello again,
It looks like clean reinstallation of openvino toolkit and all the plugins resolved the issue. Thanks for help.
Best regards,
Andrej
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