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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-22 14:05:40 -08:00
parent 654b9834c2
commit a0b4d17f7e
1 changed files with 7 additions and 11 deletions
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18
utils/utils.py
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@ -313,15 +313,12 @@ def box_iou(boxes1, boxes2):
return iou return iou
def wh_iou(box1, box2): def wh_iou(wh1, wh2):
# Returns the IoU of wh1 to wh2. wh1 is 2, wh2 is 2xn # Returns the nxm IoU matrix. wh1 is nx2, wh2 is mx2
w1, h1 = box1[0], box1[1] wh1 = wh1[:, None] # [N,1,2]
w2, h2 = box2[0], box2[1] wh2 = wh2[None] # [1,M,2]
inter = torch.min(wh1, wh2).prod(2) # [N,M]
# Intersection area return inter / (wh1.prod(2) + wh2.prod(2) - inter) # iou = inter / (area1 + area2 - inter)
inter = torch.min(w1, w2) * torch.min(h1, h2)
return inter / (w1 * h1 + w2 * h2 - inter) # iou = inter / (area1 + area2 - inter)
class FocalLoss(nn.Module): class FocalLoss(nn.Module):
@ -445,9 +442,8 @@ def build_targets(model, targets):
# iou of targets-anchors # iou of targets-anchors
t, a = targets, [] t, a = targets, []
gwh = t[:, 4:6] * ng gwh = t[:, 4:6] * ng
gwht = gwh.t()
if nt: if nt:
iou = torch.stack([wh_iou(x, gwht) for x in anchor_vec], 0) iou = wh_iou(anchor_vec, gwh)
if use_all_anchors: if use_all_anchors:
na = len(anchor_vec) # number of anchors na = len(anchor_vec) # number of anchors