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I am trying to generate IR files for a custom trained faster rcnn nasnet model (tensorflow) and I am getting the following error
Command:
python mo_tf.py --input_model ~\Desktop\tf_1.121\frozen_inference_graph.pb --tensorflow_use_custom_operations_config extensions\front\tf\faster_rcnn_support_api_v1.10.json --tensorflow_object_detection_api_pipeline_config ~\Desktop\tf_1.121\pipeline.config --output_dir ~\Desktop\tf_1.121\output
Error:
Model Optimizer arguments: Common parameters: - Path to the Input Model: ~\Desktop\tf_1.121\frozen_inference_graph.pb - Path for generated IR: ~\Desktop\tf_1.121\output - IR output name: frozen_inference_graph - Log level: ERROR - Batch: Not specified, inherited from the model - Input layers: Not specified, inherited from the model - Output layers: Not specified, inherited from the model - Input shapes: Not specified, inherited from the model - Mean values: Not specified - Scale values: Not specified- Scale values: Not specified - Scale factor: Not specified - Precision of IR: FP32 - Enable fusing: True - Enable grouped convolutions fusing: True - Move mean values to preprocess section: False - Reverse input channels: False TensorFlow specific parameters: - Input model in text protobuf format: False - Path to model dump for TensorBoard: None - List of shared libraries with TensorFlow custom layers implementation: None - Update the configuration file with input/output node names: None - Use configuration file used to generate the model with Object Detection API: ~\Desktop\tf_1.121\pipeline.config - Operations to offload: None - Patterns to offload: None - Use the config file: C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\model_optimizer\extensions\front\tf\faster_rcnn_support_api_v1.10.json Model Optimizer version: 2019.1.0-341-gc9b66a2 The Preprocessor block has been removed. Only nodes performing mean value subtraction and scaling (if applicable) are kept. [ 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.
I tried with openvino versions 2019 R1,R1.1 and 2018 R4, R5. Tried with both faster_rcnn_support_api_v1.7.json and faster_rcnn_support.json.
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