Hi,
I am trying to generate IR files for Faster R-CNN model with DenseNet feature extractor. I tried it on openvino versions 2019 R1,R1.1 and 2018 R4, R5 .
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.
Tried with both faster_rcnn_support_api_v1.7.json and faster_rcnn_support.json. and I can see all the nodes given in these JSONs in the graph.
Waiting to hear back.
Thanks.
