Glenn Jocher
4 years ago
1 changed files with 2 additions and 2 deletions
+ 2
- 2
utils/utils.py
View File
| @@ -66,7 +66,7 @@ def check_anchors(dataset, model, thr=4.0, imgsz=640): | |||
| return (best > 1. / thr).float().mean() # best possible recall | |||
| bpr = metric(anchors.clone().cpu().view(-1, 2)) | |||
| print('Best Possible Recall (BPR) = %.3f' % bpr, end='') | |||
| print('Best Possible Recall (BPR) = %.4f' % bpr, end='') | |||
| if bpr < 0.99: # threshold to recompute | |||
| print('. Attempting to generate improved anchors, please wait...' % bpr) | |||
| new_anchors = kmean_anchors(dataset, n=9, img_size=640, thr=4.0, gen=1000, verbose=False) | |||
| @@ -733,7 +733,7 @@ def kmean_anchors(path='./data/coco128.yaml', n=9, img_size=640, thr=4.0, gen=10 | |||
| k = k[np.argsort(k.prod(1))] # sort small to large | |||
| x, best = metric(k, wh0) | |||
| bpr, aat = (best > thr).float().mean(), (x > thr).float().mean() * n # best possible recall, anch > thr | |||
| print('thr=%.2f: %.3f best possible recall, %.2f anchors past thr' % (thr, bpr, aat)) | |||
| print('thr=%.2f: %.4f best possible recall, %.2f anchors past thr' % (thr, bpr, aat)) | |||
| print('n=%g, img_size=%s, metric_all=%.3f/%.3f-mean/best, past_thr=%.3f-mean: ' % | |||
| (n, img_size, x.mean(), best.mean(), x[x > thr].mean()), end='') | |||
| for i, x in enumerate(k): | |||
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