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Hi,
I tried converting a tensorflow 2 model Faster R-CNN Inception ResNet V2 1024x1024 from model zoo using command mentioned in
Command: python3 mo_tf.py --saved_model_dir /home/ubuntu/Desktop/tensorflow_2_model/content/fine_tuned_model/saved_model/ --tensorflow_object_detection_api_pipeline_config /home/ubuntu/Desktop/tensorflow_2_model/content/fine_tuned_model/pipeline.config --tensorflow_use_custom_operations_config /opt/intel/openvino_2020.4.287/deployment_tools/model_optimizer/extensions/front/tf/faster_rcnn_support.json --reverse_input_channels --input_shape [1,800,1333,3]
It gives the following error:
[ ERROR ] Exception occurred during running replacer "REPLACEMENT_ID"
------------------------------------------------------------------------------------------------------------
I was able to convert the mask_rcnn_inception_v2_coco_2018_01_28, which I downloaded from open model zoo.
Are faster rcnn tensorflow 2 models supported in Model Optimizer for IR conversion?
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Greetings,
TF2 does supported in MO for IR convertion. You can refer here for further details: https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_TensorFlow.html#Convert_From_TF2X
Officially supported Topologies are also mentioned in above documentation.
I suggest you try with the Officially supported topologies: faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz OR faster_rcnn_inception_resnet_v2_atrous_lowproposals_coco_2018_01_28.tar.gz
Just to ensure that your toolkit is correctly setup and usable.
Sincerely,
Iffa
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Hi,
Thanks for reaching out to us.
Since your issue is related to OpenVINO, we are moving this query to OpenVINO forum for a faster response.
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Hi,
Can you provide the link where this issue is oded. So that I can track it.
Thanks
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Greetings,
TF2 does supported in MO for IR convertion. You can refer here for further details: https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_TensorFlow.html#Convert_From_TF2X
Officially supported Topologies are also mentioned in above documentation.
I suggest you try with the Officially supported topologies: faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz OR faster_rcnn_inception_resnet_v2_atrous_lowproposals_coco_2018_01_28.tar.gz
Just to ensure that your toolkit is correctly setup and usable.
Sincerely,
Iffa
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Yes I was able to convert the above mentioned models to IR . Does this mean I should be using the atrous version of faster rcnn to retrain model outside openvino as the IR conversion for these is supported?
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You can use the readily available or you can train your own model, as long as it is supported by openvino as stated by the documentation that I gave to you previously.
Sincerely,
Iffa
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Greetings,
Intel will no longer monitor this thread since this issue has been resolved. If you need any additional information from Intel, please submit a new question.
Sincerely,
Iffa

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