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
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