ByteTrack_yolov5
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When I set the weight to xx. engine, the terminal displays " AssertionError: (torch.Size([1,3,608,1088]), (1,3,640,640))". how to deal with it? thx
 please help me,thanks
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outputs = self.model(img, False, False) # if self.decoder is not None: # outputs = self.decoder(outputs, dtype=outputs.type()) print('before nms:', outputs.size()) outputs = postprocess(outputs, self.num_classes, self.confthre, self.nmsthre) # outputs = non_max_suppression(outputs, 0.1,...
Hello, were you able to run train.py and track.py using yolov5?
 I use yolov5 training input image size is (1600,1600), when inferencing, I want to set tsize to (1600,1600), but there is an error, what happened? tsize = (640,640)is running...