|  |  |  | @ -123,9 +123,12 @@ def train(hyp, tb_writer, opt, device): | 
			
		
	
		
			
				
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					|  |  |  |  |         # load model | 
			
		
	
		
			
				
					|  |  |  |  |         try: | 
			
		
	
		
			
				
					|  |  |  |  |             exclude = ['anchor']  # exclude keys | 
			
		
	
		
			
				
					|  |  |  |  |             ckpt['model'] = {k: v for k, v in ckpt['model'].float().state_dict().items() | 
			
		
	
		
			
				
					|  |  |  |  |                              if k in model.state_dict() and model.state_dict()[k].shape == v.shape} | 
			
		
	
		
			
				
					|  |  |  |  |                              if k in model.state_dict() and not any(x in k for x in exclude) | 
			
		
	
		
			
				
					|  |  |  |  |                              and model.state_dict()[k].shape == v.shape} | 
			
		
	
		
			
				
					|  |  |  |  |             model.load_state_dict(ckpt['model'], strict=False) | 
			
		
	
		
			
				
					|  |  |  |  |             print('Transferred %g/%g items from %s' % (len(ckpt['model']), len(model.state_dict()), weights)) | 
			
		
	
		
			
				
					|  |  |  |  |         except KeyError as e: | 
			
		
	
		
			
				
					|  |  |  |  |             s = "%s is not compatible with %s. This may be due to model differences or %s may be out of date. " \ | 
			
		
	
		
			
				
					|  |  |  |  |                 "Please delete or update %s and try again, or use --weights '' to train from scratch." \ | 
			
		
	
	
		
			
				
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