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Saikat
Beginner
152 Views

Error while converting Faster R-CNN Inception V2 through model optimizer

Trying to convert a Faster R-CNN with Inception v2, configured for Oxford-IIIT Pets Dataset is giving error.

Command:

python3 /opt/intel/openvino/deployment_tools/model_optimizer/mo_tf.py

--input_model /home/ubuntu/Model_and_files/output/frozen_inference_graph.pb 

--tensorflow_use_custom_operations_config /opt/intel/openvino/deployment_tools

/model_optimizer/extensions/front/tf/faster_rcnn_support_api_v1.14.json

--tensorflow_object_detection_api_pipeline_config=

/home/ubuntu/Model_and_files/output/pipeline.config 

--reverse_input_channels

 

Error:

ERROR ]  Failed to match nodes from custom replacement description with id 'ObjectDetectionAPIProposalReplacement': 

It means model and custom replacement description are incompatible. 

Try to correct custom replacement description according to documentation with respect to model node names 

[ ANALYSIS INFO ]  Your model looks like TensorFlow Object Detection API Model. 

Check if all parameters are specified: 

    --tensorflow_use_custom_operations_config 

    --tensorflow_object_detection_api_pipeline_config 

    --input_shape (optional) 

    --reverse_input_channels (if you convert a model to use with the Inference Engine sample applications) 

Detailed information about conversion of this model can be found at 

https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_... 

ERROR ]  Exception occurred during running replacer "ObjectDetectionAPIDetectionOutputReplacement" (<class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'>): Found the following nodes '[]' with name 'crop_proposals' but there should be exactly 1. Looks like ObjectDetectionAPIProposalReplacement replacement didn't work. 

If there is any resolution to this please let me know.

Labels (1)
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2 Replies
Munesh_Intel
Moderator
132 Views

Hi Saikat,

Please share your environment details (versions of OpenVINO, OS, TensorFlow, Python, CMake, etc.).

If possible, please share the trained model files for us to reproduce your issue.


Regards,

Munesh


Munesh_Intel
Moderator
119 Views

Hi Saikat,

Thank you for your question. If you need any additional information from Intel, please submit a new question as this thread is no longer being monitored.


Regards,

Munesh


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