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