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According to your guide, I can do step QAT training model yolov7 on my custom dataset. But I have a question? Does your guideline work for all of Yolov7 version such as Yolov7-w6, Yolov7-l, Yolov7-x,....?
Cause when i try to do QAT step by using my yolov7-w6 training model. I got this error:
RuntimeError: Calibrator returned None. This usually happens when calibrator hasn't seen any tensor. Passing 'strict=False' to load_calib_amax() will ignore the error
The text was updated successfully, but these errors were encountered:
According to your guide, I can do step QAT training model yolov7 on my custom dataset. But I have a question? Does your guideline work for all of Yolov7 version such as Yolov7-w6, Yolov7-l, Yolov7-x,....?
Cause when i try to do QAT step by using my yolov7-w6 training model. I got this error:
RuntimeError: Calibrator returned None. This usually happens when calibrator hasn't seen any tensor. Passing 'strict=False' to
load_calib_amax()
will ignore the errorThe text was updated successfully, but these errors were encountered: