updates
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train.py
2
train.py
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@ -242,7 +242,7 @@ def train(
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t = time.time()
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t = time.time()
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print(s)
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print(s)
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# Multi-Scale training (320 - 608 pixels) every 10 batches
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# Multi-Scale training (67% - 150%) every 10 batches
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if multi_scale and (i + 1) % 10 == 0:
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if multi_scale and (i + 1) % 10 == 0:
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min_size = round(img_size / 32 / 1.5)
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min_size = round(img_size / 32 / 1.5)
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max_size = round(img_size / 32 * 1.5)
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max_size = round(img_size / 32 * 1.5)
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