updates
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train.py
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train.py
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@ -204,7 +204,8 @@ def train():
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model.nc = nc # attach number of classes to model
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model.nc = nc # attach number of classes to model
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model.arc = opt.arc # attach yolo architecture
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model.arc = opt.arc # attach yolo architecture
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model.hyp = hyp # attach hyperparameters to model
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model.hyp = hyp # attach hyperparameters to model
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model.class_weights = labels_to_class_weights(dataset.labels, nc).to(device) # attach class weights
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if hasattr(dataset, 'labels'):
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model.class_weights = labels_to_class_weights(dataset.labels, nc).to(device) # attach class weights
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torch_utils.model_info(model, report='summary') # 'full' or 'summary'
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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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nb = len(dataloader)
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maps = np.zeros(nc) # mAP per class
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maps = np.zeros(nc) # mAP per class
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