updates
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6
train.py
6
train.py
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@ -100,7 +100,7 @@ def train():
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cutoff = -1 # backbone reaches to cutoff layer
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cutoff = -1 # backbone reaches to cutoff layer
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start_epoch = 0
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start_epoch = 0
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best_fitness = 0.
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best_fitness = float('inf')
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attempt_download(weights)
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attempt_download(weights)
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if weights.endswith('.pt'): # pytorch format
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if weights.endswith('.pt'): # pytorch format
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# possible weights are 'last.pt', 'yolov3-spp.pt', 'yolov3-tiny.pt' etc.
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# possible weights are 'last.pt', 'yolov3-spp.pt', 'yolov3-tiny.pt' etc.
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@ -329,8 +329,8 @@ def train():
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tb_writer.add_scalar(title, xi, epoch)
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tb_writer.add_scalar(title, xi, epoch)
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# Update best mAP
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# Update best mAP
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fitness = results[2] # mAP
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fitness = sum(results[4:]) # total loss
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if fitness > best_fitness:
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if fitness < best_fitness:
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best_fitness = fitness
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best_fitness = fitness
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# Save training results
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# Save training results
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