updates
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@ -562,11 +562,15 @@ def print_model_biases(model):
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'classification: %.2f+/-%.2f' % (b[:, 5:].mean(), b[:, 5:].std()))
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def strip_optimizer_from_checkpoint(filename='weights/best.pt'):
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def strip_optimizer(f='weights/best.pt'):
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# Strip optimizer from *.pt files for lighter files (reduced by 2/3 size)
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a = torch.load(filename, map_location='cpu')
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a['optimizer'] = []
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torch.save(a, filename.replace('.pt', '_lite.pt'))
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x = torch.load(f)
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x['optimizer'] = None
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# x['training_results'] = None
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# x['epoch'] = -1
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# for p in x['model']:
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# p.requires_grad = True
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torch.save(x, f)
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def coco_class_count(path='../coco/labels/train2014/'):
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