HowieMa/PPT
[ECCV 2022] "PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation"
This project helps efficiently determine human body poses from video or images. It takes single or multiple camera views of people as input and outputs the precise 2D or 3D positions of their body joints. It's ideal for researchers and practitioners in computer vision, robotics, or biomechanics who need to analyze human movement.
No commits in the last 6 months.
Use this if you need an efficient way to track human pose from video or images, especially when processing many frames or analyzing complex multi-view scenarios.
Not ideal if your primary goal is object detection or tracking other elements besides human body poses.
Stars
63
Forks
2
Language
Python
License
—
Category
Last pushed
Oct 27, 2022
Commits (30d)
0
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