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

Ruff format docstring Python code (#15792)

Browse source 
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher 2024-08-25 01:08:07 +08:00 • committed by GitHub
parent c1882a4327
commit d27664216b
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
63 changed files with 370 additions and 374 deletions
Download patch file Download diff file Expand all files Collapse all files

2
docs/en/guides/sahi-tiled-inference.md
View file

@ -248,9 +248,9 @@ Learn more about the [benefits of sliced inference](#benefits-of-sliced-inferenc
Yes, you can visualize prediction results when using YOLOv8 with SAHI. Here's how you can export and visualize the results:
```python
result.export_visuals(export_dir="demo_data/")
from IPython.display import Image
result.export_visuals(export_dir="demo_data/")
Image("demo_data/prediction_visual.png")
```