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car-detection-bayes
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bug fix

This commit is contained in:
Glenn Jocher 2020-04-14 03:13:30 -07:00
parent 835b0da68a
commit 25725c8569
1 changed files with 3 additions and 3 deletions
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6
utils/utils.py
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@ -438,12 +438,12 @@ def build_targets(p, targets, model):
multi_gpu = type(model) in (nn.parallel.DataParallel, nn.parallel.DistributedDataParallel)
reject, use_all_anchors = True, True
gain = torch.ones(6, device=targets.device) # normalized to gridspace gain
for i in model.yolo_layers:
for j, i in enumerate(model.yolo_layers):
# get number of grid points and anchor vec for this yolo layer
anchor_vec = model.module.module_list[i].anchor_vec if multi_gpu else model.module_list[i].anchor_vec
# iou of targets-anchors
gain[2:] = torch.tensor(p[0].shape)[[2, 3, 2, 3]] # xyxy gain
gain[2:] = torch.tensor(p[j].shape)[[2, 3, 2, 3]] # xyxy gain
t, a = targets * gain, []
gwh = t[:, 4:6]
if nt:
@ -452,7 +452,7 @@ def build_targets(p, targets, model):
if use_all_anchors:
na = anchor_vec.shape[0] # number of anchors
a = torch.arange(na).view(-1, 1).repeat(1, nt).view(-1)
t = targets.repeat(na, 1)
t = t.repeat(na, 1)
else: # use best anchor only
iou, a = iou.max(0) # best iou and anchor