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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-02-18 19:49:58 +01:00
parent 2ef92f5651
commit 0f06fbd681
1 changed files with 3 additions and 1 deletions
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4
utils/utils.py
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@ -345,7 +345,7 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.4):
class_prob, class_pred = torch.max(F.softmax(pred[:, 5:], 1), 1) class_prob, class_pred = torch.max(F.softmax(pred[:, 5:], 1), 1)
v = ((pred[:, 4] > conf_thres) & (class_prob > .3)) # TODO examine arbitrary 0.3 thres here v = (pred[:, 4] > (conf_thres * class_prob)) # TODO examine arbitrary 0.3 thres here
v = v.nonzero().squeeze() v = v.nonzero().squeeze()
if len(v.shape) == 0: if len(v.shape) == 0:
v = v.unsqueeze(0) v = v.unsqueeze(0)
@ -389,6 +389,8 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.4):
# Image Total P R mAP # Image Total P R mAP
# 5000 5000 0.627 0.593 0.584 # 5000 5000 0.627 0.593 0.584
# 4964 5000 0.629 0.594 0.586 # complete probability sort
elif nms_style == 'AND': # requires overlap, single boxes erased elif nms_style == 'AND': # requires overlap, single boxes erased
while len(dc) > 1: while len(dc) > 1: