增加跟踪的一些逻辑代码
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@ -352,7 +352,7 @@ def train(hyp, opt, device, callbacks):
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maps = np.zeros(nc) # mAP per class
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results = (0, 0, 0, 0, 0, 0, 0) # P, R, mAP@.5, mAP@.5-.95, val_loss(box, obj, cls)
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scheduler.last_epoch = start_epoch - 1 # do not move
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scaler = torch.cuda.amp.GradScaler(enabled=amp)
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scaler = torch.amp.GradScaler(device='cuda', enabled=amp)
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stopper, stop = EarlyStopping(patience=opt.patience), False
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compute_loss = ComputeLoss(model) # init loss class
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callbacks.run("on_train_start")
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