Skip to content
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

Jump to bottom

Segmentation polygons2masks_overlap() in np.int32 #9493

Merged
merged 7 commits into from
Sep 20, 2022
Merged

Segmentation polygons2masks_overlap() in np.int32 #9493

Changes from 1 commit
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
b2195bc
Segmentation `polygons2masks_overlap()` in `np.int32`
glenn-jocher Sep 19, 2022
740f5cd
Merge branch 'master' into update/masks_int32
glenn-jocher Sep 19, 2022
f8b23f9
Merge branch 'master' into update/masks_int32
glenn-jocher Sep 19, 2022
2db5099
Merge branch 'master' into update/masks_int32
glenn-jocher Sep 19, 2022
af2412c
Merge branch 'master' into update/masks_int32
glenn-jocher Sep 20, 2022
c9d12ae
Update dataloaders.py
glenn-jocher Sep 20, 2022
5d85094
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Sep 20, 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
Prev Previous commit
[pre-commit.ci] auto fixes from pre-commit.com hooks 
for more information, see https://pre-commit.ci
  • Loading branch information
@pre-commit-ci
pre-commit-ci[bot] committed Sep 20, 2022
commit 5d85094c4269e814d80534d4374dcf397f383b7b
4 changes: 2 additions & 2 deletions utils/segment/dataloaders.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -308,8 +308,8 @@ def polygons2masks(img_size, polygons, color, downsample_ratio=1):

def polygons2masks_overlap(img_size, segments, downsample_ratio=1):
"""Return a (640, 640) overlap mask."""
masks = np.zeros((img_size[0] // downsample_ratio, img_size[1] // downsample_ratio),
dtype=np.int32 if len(segments) > 255 else np.uint8)
masks = np.zeros((img_size[0] // downsample_ratio, img_size[1] // downsample_ratio),
dtype=np.int32 if len(segments) > 255 else np.uint8)
areas = []
ms = []
for si in range(len(segments)):
Expand Down