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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-02-19 19:18:03 +01:00
parent f07dd72a09
commit a116dd36f7
1 changed files with 2 additions and 2 deletions
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models.py
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@ -132,7 +132,7 @@ class YOLOLayer(nn.Module):
if p.is_cuda: if p.is_cuda:
self.grid_xy = self.grid_xy.cuda() self.grid_xy = self.grid_xy.cuda()
self.anchor_vector = self.anchor_vector.cuda() self.anchor_vec = self.anchor_vec.cuda()
# p.view(bs, 255, 13, 13) -- > (bs, 3, 13, 13, 80) # (bs, anchors, grid, grid, classes + xywh) # p.view(bs, 255, 13, 13) -- > (bs, 3, 13, 13, 80) # (bs, anchors, grid, grid, classes + xywh)
p = p.view(bs, self.nA, self.nC + 5, nG, nG).permute(0, 1, 3, 4, 2).contiguous() # prediction p = p.view(bs, self.nA, self.nC + 5, nG, nG).permute(0, 1, 3, 4, 2).contiguous() # prediction
@ -161,7 +161,7 @@ class YOLOLayer(nn.Module):
# width = ((w.data * 2) ** 2) * self.anchor_w # width = ((w.data * 2) ** 2) * self.anchor_w
# height = ((h.data * 2) ** 2) * self.anchor_h # height = ((h.data * 2) ** 2) * self.anchor_h
tx, ty, tw, th, mask, tcls = build_targets(targets, self.anchor_vector, self.nA, self.nC, nG) tx, ty, tw, th, mask, tcls = build_targets(targets, self.anchor_vec, self.nA, self.nC, nG)
tcls = tcls[mask] tcls = tcls[mask]
if x.is_cuda: if x.is_cuda: