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car-detection-bayes
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merge NMS full matrix

This commit is contained in:
Glenn Jocher 2020-03-31 21:31:09 -07:00
parent 8d788e10c4
commit 300e9a7ad6
1 changed files with 6 additions and 5 deletions
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utils/utils.py
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@ -555,6 +555,7 @@ 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 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) if method == 'merge': # Merge NMS (boxes merged using weighted mean)
i = torchvision.ops.boxes.nms(boxes, scores, iou_thres) i = torchvision.ops.boxes.nms(boxes, scores, iou_thres)
if n < 1E4: # update boxes
# weights = (box_iou(boxes, boxes).tril_() > iou_thres) * scores.view(-1, 1) # box weights # weights = (box_iou(boxes, boxes).tril_() > iou_thres) * scores.view(-1, 1) # box weights
# weights /= weights.sum(0) # normalize # weights /= weights.sum(0) # normalize
# x[:, :4] = torch.mm(weights.T, x[:, :4]) # x[:, :4] = torch.mm(weights.T, x[:, :4])