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

ultralytics 8.3.38 SAM 2 video inference (#14851)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com>
This commit is contained in:
Laughing 2024-11-26 19:38:23 +08:00 • committed by GitHub
parent 407815cf9e
commit dcc9bd536f
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
16 changed files with 917 additions and 124 deletions
Download patch file Download diff file Expand all files Collapse all files

7
ultralytics/data/augment.py
View file

@ -2111,10 +2111,9 @@ class Format:
h (int): Height of the image.
Returns:
(tuple): Tuple containing:
masks (numpy.ndarray): Bitmap masks with shape (N, H, W) or (1, H, W) if mask_overlap is True.
instances (Instances): Updated instances object with sorted segments if mask_overlap is True.
cls (numpy.ndarray): Updated class labels, sorted if mask_overlap is True.
masks (numpy.ndarray): Bitmap masks with shape (N, H, W) or (1, H, W) if mask_overlap is True.
instances (Instances): Updated instances object with sorted segments if mask_overlap is True.
cls (numpy.ndarray): Updated class labels, sorted if mask_overlap is True.
Notes:
- If self.mask_overlap is True, masks are overlapped and sorted by area.