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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-02-18 19:44:15 +01:00
parent f788a57009
commit 2ef92f5651
1 changed files with 3 additions and 2 deletions
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5
utils/utils.py
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@ -369,12 +369,12 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.4):
if prediction.is_cuda:
unique_labels = unique_labels.cuda(prediction.device)
nms_style = 'MERGE' # 'OR' (default), 'AND', 'MERGE' (experimental)
nms_style = 'OR' # 'OR' (default), 'AND', 'MERGE' (experimental)
for c in unique_labels:
# Get the detections with class c
dc = detections[detections[:, -1] == c]
# Sort the detections by maximum object confidence
_, conf_sort_index = torch.sort(dc[:, 4], descending=True)
_, conf_sort_index = torch.sort(dc[:, 4] * dc[:, 5], descending=True)
dc = dc[conf_sort_index]
# Non-maximum suppression
@ -411,6 +411,7 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.4):
# 4964 5000 0.632 0.597 0.588 # normal
# 4964 5000 0.632 0.597 0.588 # squared
# 4964 5000 0.631 0.597 0.588 # sqrt
# normal best_v1_0.pt
if len(det_max) > 0:
det_max = torch.cat(det_max)