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@ -636,7 +636,7 @@ def strip_optimizer(f='weights/best.pt'): # from utils.utils import *; strip_op
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x['optimizer'] = None
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x['model'].half() # to FP16
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torch.save(x, f)
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print('Optimizer stripped from %s' % f)
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print('Optimizer stripped from %s, %.1fMB' % (f, os.path.getsize(f) / 1E6))
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def create_pretrained(f='weights/best.pt', s='weights/pretrained.pt'): # from utils.utils import *; create_pretrained()
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@ -651,7 +651,7 @@ def create_pretrained(f='weights/best.pt', s='weights/pretrained.pt'): # from u
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for p in x['model'].parameters():
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p.requires_grad = True
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torch.save(x, s)
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print('%s saved as pretrained checkpoint %s' % (f, s))
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print('%s saved as pretrained checkpoint %s, %.1fMB' % (f, s, os.path.getsize(s) / 1E6))
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def coco_class_count(path='../coco/labels/train2014/'):
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