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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-23 10:30:13 -08:00
parent f995d6093c
commit fd3a6a4cba
1 changed files with 4 additions and 4 deletions
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utils/utils.py
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@ -506,15 +506,15 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=Tru
continue continue
# Box (center x, center y, width, height) to (x1, y1, x2, y2) # Box (center x, center y, width, height) to (x1, y1, x2, y2)
pred[:, :4] = xywh2xyxy(pred[:, :4]) box = xywh2xyxy(pred[:, :4])
# Multi-class # Detections matrix nx6 (xyxy, conf, cls)
if multi_cls or conf_thres < 0.01: if multi_cls or conf_thres < 0.01:
i, j = (pred[:, 5:] > conf_thres).nonzero().t() i, j = (pred[:, 5:] > conf_thres).nonzero().t()
pred = torch.cat((pred[i, :4], pred[i, j + 5].unsqueeze(1), j.float().unsqueeze(1)), 1) pred = torch.cat((box[i], pred[i, j + 5].unsqueeze(1), j.float().unsqueeze(1)), 1)
else: # best class only else: # best class only
conf, j = pred[:, 5:].max(1) conf, j = pred[:, 5:].max(1)
pred = torch.cat((pred[:, :4], conf.unsqueeze(1), j.float().unsqueeze(1)), 1) # (xyxy, conf, cls) pred = torch.cat((box, conf.unsqueeze(1), j.float().unsqueeze(1)), 1)
# Apply finite constraint # Apply finite constraint
pred = pred[torch.isfinite(pred).all(1)] pred = pred[torch.isfinite(pred).all(1)]