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@ -773,7 +773,8 @@ def kmean_anchors(path='../coco/train2017.txt', n=9, img_size=(320, 640)):
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wh *= np.random.uniform(img_size[0], img_size[1], size=(wh.shape[0], 1)) # normalized to pixels (multi-scale)
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wh *= np.random.uniform(img_size[0], img_size[1], size=(wh.shape[0], 1)) # normalized to pixels (multi-scale)
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# Darknet yolov3.cfg anchors
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# Darknet yolov3.cfg anchors
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if n == 9:
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use_darknet = False
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if use_darknet:
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k = np.array([[10, 13], [16, 30], [33, 23], [30, 61], [62, 45], [59, 119], [116, 90], [156, 198], [373, 326]])
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k = np.array([[10, 13], [16, 30], [33, 23], [30, 61], [62, 45], [59, 119], [116, 90], [156, 198], [373, 326]])
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k = print_results(thr, wh, k)
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k = print_results(thr, wh, k)
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else:
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else:
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