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train.py
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train.py
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@ -212,6 +212,7 @@ def train():
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torch_utils.model_info(model, report='summary') # 'full' or 'summary'
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nb = len(dataloader)
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maps = np.zeros(nc) # mAP per class
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# torch.autograd.set_detect_anomaly(True)
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results = (0, 0, 0, 0, 0, 0, 0) # 'P', 'R', 'mAP', 'F1', 'val GIoU', 'val Objectness', 'val Classification'
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t0 = time.time()
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print('Starting %s for %g epochs...' % ('prebias' if opt.prebias else 'training', epochs))
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