updates
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train.py
4
train.py
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@ -63,8 +63,8 @@ def train():
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# Initialize
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init_seeds()
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if opt.multi_scale:
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img_sz_min = round(img_size / 32 / 1.5) - 1
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img_sz_max = round(img_size / 32 * 1.5) + 1
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img_sz_min = round(img_size / 32 / 1.5)
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img_sz_max = round(img_size / 32 * 1.5)
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img_size = img_sz_max * 32 # initiate with maximum multi_scale size
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print('Using multi-scale %g - %g' % (img_sz_min * 32, img_size))
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