PyCharm reformat (#4209)
* PyCharm reformat * YAML reformat * Markdown reformat
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@@ -74,7 +74,7 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
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with open(save_dir / 'opt.yaml', 'w') as f:
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yaml.safe_dump(vars(opt), f, sort_keys=False)
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data_dict = None
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# Loggers
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if RANK in [-1, 0]:
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loggers = Loggers(save_dir, weights, opt, hyp, LOGGER).start() # loggers dict
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@@ -83,7 +83,6 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
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if resume:
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weights, epochs, hyp = opt.weights, opt.epochs, opt.hyp
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# Config
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plots = not evolve # create plots
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cuda = device.type != 'cpu'
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@@ -96,7 +95,6 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
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assert len(names) == nc, f'{len(names)} names found for nc={nc} dataset in {data}' # check
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is_coco = data.endswith('coco.yaml') and nc == 80 # COCO dataset
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# Model
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pretrained = weights.endswith('.pt')
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if pretrained:
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