Skip to content

Limit detections without explicit if condition #10502

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
glenn-jocher merged 5 commits into from
Dec 18, 2022
Merged

Limit detections without explicit if condition #10502

Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
ed6a0db
limit detections without explicit if condition
developer0hye Dec 15, 2022
79c05d5
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Dec 15, 2022
27e7f88
Merge branch 'master' into patch-12
glenn-jocher Dec 17, 2022
60b7455
Merge branch 'master' into patch-12
glenn-jocher Dec 17, 2022
677fe4d
cleanup indexing code for limit detections
developer0hye Dec 17, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 1 addition & 2 deletions utils/general.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -978,8 +978,7 @@ def non_max_suppression(
c = x[:, 5:6] * (0 if agnostic else max_wh) # classes
boxes, scores = x[:, :4] + c, x[:, 4] # boxes (offset by class), scores
i = torchvision.ops.nms(boxes, scores, iou_thres) # NMS
if i.shape[0] > max_det: # limit detections
i = i[:max_det]
i = i[:max_det] # limit detections
if merge and (1 < n < 3E3): # Merge NMS (boxes merged using weighted mean)
# update boxes as boxes(i,4) = weights(i,n) * boxes(n,4)
iou = box_iou(boxes[i], boxes) > iou_thres # iou matrix
Expand Down