Intel® Distribution of OpenVINO™ Toolkit
Community assistance about the Intel® Distribution of OpenVINO™ toolkit, OpenCV, and all aspects of computer vision-related on Intel® platforms.

How to create json and config file for custom model?

RAHUL
Beginner
1,453 Views

I have .pb model file, now how can I generate config and json file so that I can convert it to xml and bin file. I am using below command.

python3 mo_tf.py --input_model=model.pb --transformations_config *** --tensorflow_object_detection_api_pipeline_config **** --reverse_input_channels

Thanks in advance

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SuryaPSC_Intel
Employee
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Hi Rahul,

Please follow the steps for freezing the custom model and then Convert Tensorflow model to IR.

Best Regards,

Surya

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RAHUL
Beginner
1,453 Views
Hi Surya, I am already following the link you mentioned. Actually example models can be successfully converted to xml using above command but problem is with custom model for that I don't have json and config file. Without these files I cannot optimize my tf object detection model.
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SuryaPSC_Intel
Employee
1,453 Views

Hi Rahul,

OpenVINO provides .json files for some standard models which you may refer to generate your own .json file. You may find the .json files at the below directory in windows.

C:\Program Files (x86)\IntelSWTools\openvino_2020.1.033\deployment_tools\model_optimizer\extensions\front\tf 

Best Regards,

Surya

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