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car-detection-bayes
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reduce merge limit to 3000

This commit is contained in:
Glenn Jocher 2020-04-25 21:15:30 -07:00
parent 3554ab07fb
commit 754a1b5bf8
1 changed files with 1 additions and 1 deletions
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utils/utils.py
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@ -556,7 +556,7 @@ def non_max_suppression(prediction, conf_thres=0.1, iou_thres=0.6, multi_label=T
boxes, scores = x[:, :4].clone() + c.view(-1, 1) * max_wh, x[:, 4] # boxes (offset by class), scores
if method == 'merge': # Merge NMS (boxes merged using weighted mean)
i = torchvision.ops.boxes.nms(boxes, scores, iou_thres)
if n < 1E4: # update boxes as boxes(i,4) = weights(i,n) * boxes(n,4)
if n < 3E3: # update boxes as boxes(i,4) = weights(i,n) * boxes(n,4)
# weights = (box_iou(boxes, boxes).tril_() > iou_thres) * scores.view(-1, 1) # box weights
# weights /= weights.sum(0) # normalize
# x[:, :4] = torch.mm(weights.T, x[:, :4])