HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

ultralytics 8.0.90 actions and docs improvements (#2326)

Browse source 
Co-authored-by: calmisential <xinyu_std@163.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: triple Mu <gpu@163.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: ran xiao <ben.xiao@me.com>
Co-authored-by: rxiao <ran.xiao@silverpond.com.au>
This commit is contained in:
Glenn Jocher 2023-04-29 20:16:56 +02:00 • committed by GitHub
parent 243fc4b1fe
commit 44c7c3514d
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
39 changed files with 783 additions and 143 deletions
Download patch file Download diff file Expand all files Collapse all files

2
ultralytics/yolo/utils/ops.py
View file

@ -148,7 +148,7 @@ def non_max_suppression(
Perform non-maximum suppression (NMS) on a set of boxes, with support for masks and multiple labels per box.
Arguments:
prediction (torch.Tensor): A tensor of shape (batch_size, num_boxes, num_classes + 4 + num_masks)
prediction (torch.Tensor): A tensor of shape (batch_size, num_classes + 4 + num_masks, num_boxes)
containing the predicted boxes, classes, and masks. The tensor should be in the format
output by a model, such as YOLO.
conf_thres (float): The confidence threshold below which boxes will be filtered out.