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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-19 19:35:14 -08:00
parent ce9a2cb9d2
commit 9309d35478
1 changed files with 2 additions and 2 deletions
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4
utils/utils.py
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@ -459,7 +459,7 @@ def build_targets(model, targets):
return tcls, tbox, indices, av return tcls, tbox, indices, av
def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=False, method='vision'): def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=True, method='vision'):
""" """
Removes detections with lower object confidence score than 'conf_thres' Removes detections with lower object confidence score than 'conf_thres'
Non-Maximum Suppression to further filter detections. Non-Maximum Suppression to further filter detections.
@ -489,7 +489,7 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=Fal
pred[:, :4] = xywh2xyxy(pred[:, :4]) pred[:, :4] = xywh2xyxy(pred[:, :4])
# Multi-class # Multi-class
if multi_cls: if multi_cls or conf_thres < 0.01:
i, j = (pred[:, 4:] > conf_thres).nonzero().t() i, j = (pred[:, 4:] > conf_thres).nonzero().t()
pred = torch.cat((pred[i, :4], pred[i, j + 4].unsqueeze(1), j.float().unsqueeze(1)), 1) pred = torch.cat((pred[i, :4], pred[i, j + 4].unsqueeze(1), j.float().unsqueeze(1)), 1)
else: # best class only else: # best class only