updates
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@ -579,14 +579,15 @@ def print_model_biases(model):
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def strip_optimizer(f='weights/last.pt'): # from utils.utils import *; strip_optimizer()
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def strip_optimizer(f='weights/last.pt'): # from utils.utils import *; strip_optimizer()
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# Strip optimizer from *.pt files for lighter files (reduced by 2/3 size)
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# Strip optimizer from *.pt files for lighter files (reduced by 2/3 size)
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x = torch.load(f, map_location=torch.device('cpu'))
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x = torch.load(f, map_location=torch.device('cpu'))
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# x['epoch'] = -1 # uncomment to create a backbone
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x['optimizer'] = None
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x['optimizer'] = None
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# x['training_results'] = None # uncomment to create a backbone
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# x['epoch'] = -1 # uncomment to create a backbone
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torch.save(x, f)
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torch.save(x, f)
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def create_backbone(f='weights/last.pt'): # from utils.utils import *; create_backbone()
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def create_backbone(f='weights/last.pt'): # from utils.utils import *; create_backbone()
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# create a backbone from a *.pt file
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# create a backbone from a *.pt file
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x = torch.load(f)
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x = torch.load(f, map_location=torch.device('cpu'))
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x['optimizer'] = None
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x['optimizer'] = None
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x['training_results'] = None
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x['training_results'] = None
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x['epoch'] = -1
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x['epoch'] = -1
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