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reapply yolo width and height

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Glenn Jocher
2018-09-23 22:41:36 +02:00
parent cf9b4cfa52
commit 5d402ad31a
2 changed files with 14 additions and 14 deletions
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utils/utils.py
+6 -6
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@@ -263,13 +263,13 @@ def build_targets(pred_boxes, pred_conf, pred_cls, target, anchor_wh, nA, nC, nG
tx[b, a, gj, gi] = gx - gi.float()
ty[b, a, gj, gi] = gy - gj.float()
# Width and height (power method)
tw[b, a, gj, gi] = torch.sqrt(gw / anchor_wh[a, 0]) / 2
th[b, a, gj, gi] = torch.sqrt(gh / anchor_wh[a, 1]) / 2
# Width and height (yolo method)
tw[b, a, gj, gi] = torch.log(gw / anchor_wh[a, 0] + 1e-16)
th[b, a, gj, gi] = torch.log(gh / anchor_wh[a, 1] + 1e-16)
# Width and height (yolov3 method)
# tw[b, a, gj, gi] = torch.log(gw / anchor_wh[a, 0] + 1e-16)
# th[b, a, gj, gi] = torch.log(gh / anchor_wh[a, 1] + 1e-16)
# Width and height (power method)
# tw[b, a, gj, gi] = torch.sqrt(gw / anchor_wh[a, 0]) / 2
# th[b, a, gj, gi] = torch.sqrt(gh / anchor_wh[a, 1]) / 2
# One-hot encoding of label
tcls[b, a, gj, gi, tc] = 1