From bfcae0ac97486e248099eb3be30faa2ea0cecea6 Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Sat, 5 Oct 2019 18:36:48 +0200 Subject: [PATCH] updates --- utils/utils.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/utils/utils.py b/utils/utils.py index 250bec33..cb22c799 100755 --- a/utils/utils.py +++ b/utils/utils.py @@ -657,7 +657,7 @@ def kmeans_targets(path='../coco/trainvalno5k.txt', n=9, img_size=416): # from from scipy import cluster # Get label wh - dataset = LoadImagesAndLabels(path, augment=True, rect=True) + dataset = LoadImagesAndLabels(path, augment=True, rect=True, cache_labels=True) for s, l in zip(dataset.shapes, dataset.labels): l[:, [1, 3]] *= s[0] # normalized to pixels l[:, [2, 4]] *= s[1] @@ -671,8 +671,7 @@ def kmeans_targets(path='../coco/trainvalno5k.txt', n=9, img_size=416): # from # Measure IoUs iou = torch.stack([wh_iou(torch.Tensor(wh).T, torch.Tensor(x).T) for x in k], 0) biou = iou.max(0)[0] # closest anchor IoU - - print((biou < 0.2635).float().mean()) + print('Best possible recall: %.3f' % (biou > 0.2635).float().mean()) # BPR (best possible recall) # Print print('kmeans anchors (n=%g, img_size=%g, IoU=%.2f/%.2f/%.2f-min/mean/best): ' %