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Yolov3 conversion to OpenVino IR accuracy loss

Jkong
Beginner
296 Views

According to this doc, OpenVino do have their own "Region" layer which supposedly to negate the accuracy loss during the conversion from Darknet to TF.

https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_YOLO_From_Tensorflow.html

 

However, I am still looking at a significant accuracy loss. Is this still to be expected?

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Wan_Intel
Moderator
269 Views

Hi Jkong,

Thanks for reaching out to us.

For your information, to convert YOLOv3 TensorFlow model into Intermediate Representation, you have to use yolo_v3.json or yolo_v3_tiny.json (depending on a model) configuration file with custom operations located in the <INSTALL_DIR>/tools/model_optimizer/extensions/front/tf repository.

Please refer to Convert YOLOv3 TensorFlow Model to IR for more information.

 

 

Regards,

Wan


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Jkong
Beginner
261 Views

Hi,

As mentioned in the opening, the exact same document have been followed.

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Wan_Intel
Moderator
254 Views

Hi Jkong,

May I know which demo applications are you using with the Intermediate Representation? Could you please share your model and step to convert your model into Intermediate Representation with us for further investigation?

 

 

Regards,

Wan

 

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Wan_Intel
Moderator
228 Views

Hi Jkong,

Thank you for your question.

If you need any additional information from Intel, please submit a new question as this thread is no longer being monitored.

 

 

Regards,

Wan


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