Spaces:
Running
Running
Commit History
-
Update README.md Running
bcba1e6 -
Update README.mdβ
 Computer vision has witnessed remarkable strides, and the latest leap comes from YOLO-NAS Pose. This model isn't just an iteration; it's a redefinition of pose estimation's potential. π€ YOLO-NAS Pose, developed by the innovative minds at Deci, takes the foundational brilliance of YOLOv8 Pose and propels it to new heights. Focusing on real-time performance, it offers a unique blend of precision and speed, critical for applications in healthcare diagnostics, athletic performance analytics, and vigilant security systems. ποΈ At its core, YOLO-NAS Pose is engineered using a state-of-the-art NAS framework, AutoNAC, which meticulously optimizes the architecture for unparalleled efficiency. This process has birthed a model with an ingenious pose estimation head seamlessly integrated into the YOLO-NAS structure. π The training reβ¦7daafda -
Update app.py
003af74 -
Update app.py
2cdc5a5 -
Update app.py
f0f29fe -
Update app.py
99a0703 -
Update app.py
202d2bb -
Create requirements.txt
fb7e5ff -
Upload yolo_nas_pose_l_coco_pose.pth
ed520fb -
Create app.py
d13f105 -
initial commit
Harpreet Sahotaa0ae2b6