Bienqq
/
car-detection-bayes
2
1
Fork 0
Code Issues Pull Requests Releases Wiki Activity

updates

This commit is contained in:
Glenn Jocher 2019-11-20 19:10:36 -08:00
parent 74b57500c7
commit a0067ac8fb
1 changed files with 3 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
utils/utils.py
View File

@ -442,7 +442,7 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5):
(x1, y1, x2, y2, object_conf, class_conf, class)
"""
min_wh = 2 # (pixels) minimum box width and height
min_wh, max_wh = 2, 30000 # (pixels) minimum and maximium box width and height
output = [None] * len(prediction)
for image_i, pred in enumerate(prediction):
@ -470,7 +470,8 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5):
# pred[class_pred != 2, 4] = 0.0
# Select only suitable predictions
i = (pred[:, 4] > conf_thres) & (pred[:, 2:4] > min_wh).all(1) & torch.isfinite(pred).all(1)
i = (pred[:, 4] > conf_thres) & (pred[:, 2:4] > min_wh).all(1) & (pred[:, 2:4] < max_wh).all(1) & \
torch.isfinite(pred).all(1)
pred = pred[i]
# If none are remaining => process next image