updates
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@ -746,7 +746,7 @@ def kmeans_targets(path='data/coco64.txt', n=9, img_size=416): # from utils.uti
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l[:, [2, 4]] *= s[1]
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l[:, [2, 4]] *= s[1]
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l[:, 1:] *= img_size / max(s)
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l[:, 1:] *= img_size / max(s)
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l = l.repeat(10, axis=0) # augment 10x
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l = l.repeat(10, axis=0) # augment 10x
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l *= np.random.uniform(0.5, 1.5, size=(l.shape[0], 1)) # multi-scale box
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l *= np.random.uniform(288, 640, size=(l.shape[0], 1)) / img_size # multi-scale box
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wh = np.concatenate(dataset.labels, 0)[:, 3:5] # wh from cxywh
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wh = np.concatenate(dataset.labels, 0)[:, 3:5] # wh from cxywh
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# Kmeans calculation
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# Kmeans calculation
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