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