Intel® Distribution of OpenVINO™ Toolkit
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Quantization 8bit for yolov4

Kartikeya
Beginner
3,233 Views

Hi,

I am trying to convert fp32 yolo model(trained on custom classes) into an int8 low precision quantized model. However upon conversion I am unable to see any bounding boxes(unlike fp32/fp16) when I try to do inference even though .xml and .bin files are generated. I have tried Default and Accuracy aware training both. I am able to achieve the conversion through command line tools. DL Workbench does not convert to int8 IR also.
How can I tackle the above problem?

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Sebastian_M_Intel
Moderator
3,211 Views

Hello Kartikeya, 

 

Thank you for posting on the Intel® communities.  

 

Based on what you are reporting this seems to be related to the OpenVINO™ toolkit, we will move this thread to the proper sub-forum for better assistance and kindly wait for a response.  

 

Best regards, 

 

Regards, 

 

Sebastian M  

Intel Customer Support Technician  


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IntelSupport
Community Manager
3,180 Views

Hi,

Thanks for reaching out.

 

Yolov4 is not validated with OpenVINO. Only yolov1,yolov2 and yolov3 are validated. The information is available in the following page :

https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_YOLO_From_Tensorflow.html#yolov3-to-ir

 

The following page contains the list of topologies that have been validated for 8-bit inference feature.

https://docs.openvinotoolkit.org/latest/openvino_docs_IE_DG_Int8Inference.html#low_precision_8_bit_integer_inference_workflow.

 

There are three Yolo models (TensorFlow Yolov3,Caffe Yolo v1 tiny and Caffe Yolov3 ) in the above list.

I suggest you use any of these models for post training quantization

  

Here is an additional reference regarding the workflow of converting a model from FP32 to INT8:

https://docs.openvinotoolkit.org/latest/workbench_docs_Workbench_DG_Int_8_Quantization.html

 

Regards,

Aznie


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IntelSupport
Community Manager
3,141 Views

Hi Kartikeya,


This thread will no longer be monitored since we have provided a solution. If you need any additional information from Intel, please submit a new question.


Regards,

Aznie


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