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

SAM2 mkdocs.yml fix (#14796)

Browse source
This commit is contained in:
Glenn Jocher 2024-07-30 03:51:48 +02:00 • committed by GitHub
parent ff1fc55aac
commit f955fedb7f
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
2 changed files with 3 additions and 3 deletions
Download patch file Download diff file Expand all files Collapse all files

4
docs/en/models/sam2.md
View file

@ -4,12 +4,12 @@ description: Discover SAM2, the next generation of Meta's Segment Anything Model
keywords: SAM2, Segment Anything, video segmentation, image segmentation, promptable segmentation, zero-shot performance, SA-V dataset, Ultralytics, real-time segmentation, AI, machine learning keywords: SAM2, Segment Anything, video segmentation, image segmentation, promptable segmentation, zero-shot performance, SA-V dataset, Ultralytics, real-time segmentation, AI, machine learning
--- ---
# SAM2: Segment Anything Model 2
!!! Note "🚧 SAM2 Integration In Progress 🚧" !!! Note "🚧 SAM2 Integration In Progress 🚧"
The SAM2 features described in this documentation are currently not enabled in the `ultralytics` package. The Ultralytics team is actively working on integrating SAM2, and these capabilities should be available soon. We appreciate your patience as we work to implement this exciting new model. The SAM2 features described in this documentation are currently not enabled in the `ultralytics` package. The Ultralytics team is actively working on integrating SAM2, and these capabilities should be available soon. We appreciate your patience as we work to implement this exciting new model.
# SAM2: Segment Anything Model 2
SAM2, the successor to Meta's [Segment Anything Model (SAM)](sam.md), is a cutting-edge tool designed for comprehensive object segmentation in both images and videos. It excels in handling complex visual data through a unified, promptable model architecture that supports real-time processing and zero-shot generalization. SAM2, the successor to Meta's [Segment Anything Model (SAM)](sam.md), is a cutting-edge tool designed for comprehensive object segmentation in both images and videos. It excels in handling complex visual data through a unified, promptable model architecture that supports real-time processing and zero-shot generalization.
![SAM2 Example Results](https://github.com/facebookresearch/segment-anything-2/raw/main/assets/sa_v_dataset.jpg?raw=true) ![SAM2 Example Results](https://github.com/facebookresearch/segment-anything-2/raw/main/assets/sa_v_dataset.jpg?raw=true)

2
mkdocs.yml
View file

@ -239,7 +239,7 @@ nav:
- YOLOv9: models/yolov9.md - YOLOv9: models/yolov9.md
- YOLOv10: models/yolov10.md - YOLOv10: models/yolov10.md
- SAM (Segment Anything Model): models/sam.md - SAM (Segment Anything Model): models/sam.md
- SAM2 (Segment Anything Model 2): models/sam.md - SAM2 (Segment Anything Model 2): models/sam2.md
- MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
- FastSAM (Fast Segment Anything Model): models/fast-sam.md - FastSAM (Fast Segment Anything Model): models/fast-sam.md
- YOLO-NAS (Neural Architecture Search): models/yolo-nas.md - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md