AlexeyAB / yolo2_light

Light version of convolutional neural network Yolo v3 & v2 for objects detection with a minimum of dependencies (INT8-inference, BIT1-XNOR-inference)
MIT License
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INT8 implementation reference #27

Open trustin77 opened 5 years ago

trustin77 commented 5 years ago

Hi, @AlexeyAB

I'd like to know more about how INT8 version is implemented. Is it based on one/more papers? Could you give related links for reference?

Thanks

AlexeyAB commented 5 years ago

@trustin77 Hi,

I have not seen step by step instructions on how to do this. I used these documentations:

About optimzal input_calibration: https://github.com/AlexeyAB/yolo2_light/issues/24#issuecomment-435361415


Also about quantization: