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@ -776,7 +776,6 @@ def kmean_anchors(path='../coco/train2017.txt', n=9, img_size=(320, 640)):
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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 = print_results(thr, wh, k)
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else:
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# Kmeans calculation
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from scipy.cluster.vq import kmeans
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@ -784,7 +783,7 @@ def kmean_anchors(path='../coco/train2017.txt', n=9, img_size=(320, 640)):
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s = wh.std(0) # sigmas for whitening
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k, dist = kmeans(wh / s, n, iter=30) # points, mean distance
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k *= s
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k = print_results(thr, wh, k)
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k = print_results(thr, wh, k)
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# # Plot
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# k, d = [None] * 20, [None] * 20
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