updates
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2
test.py
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test.py
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@ -137,7 +137,7 @@ def test(
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mp, mr, map, mf1 = p.mean(), r.mean(), ap.mean(), f1.mean()
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# Print results
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pf = ('%20s' + '%10.3g' * 6) # print format
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pf = '%20s' + '%10.3g' * 6 # print format
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print(pf % ('all', seen, nt.sum(), mp, mr, map, mf1), end='\n\n')
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# Print results per class
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train.py
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train.py
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@ -33,7 +33,7 @@ def train(
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img_size = 608 # initiate with maximum multi_scale size
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num_workers = 0 # bug https://github.com/ultralytics/yolov3/issues/174
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else:
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torch.backends.cudnn.benchmark = True # unsuitable for multiscale
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pass # torch.backends.cudnn.benchmark = True # unsuitable for multiscale
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# Configure run
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train_path = parse_data_cfg(data_cfg)['train']
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