Model Optimizer for FRCNN model

[Kannan_K_Intel]

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.
 

[Shubha_R_Intel]

Dear K, Kannan,

Please see my answer to this post

Thanks,

Shubha