hxwork/H2ONet_Pytorch
[CVPR 2023] H2ONet: Hand-Occlusion-and-Orientation-aware Network for Real-time 3D Hand Mesh Reconstruction, Pytorch implementation.
This project helps capture and understand complex hand movements, even when parts of the hand are hidden or at unusual angles. It takes a video or image feed of a hand and outputs a detailed 3D model of its structure and pose in real-time. This is ideal for researchers and engineers developing applications in augmented reality, virtual reality, human-computer interaction, or robotics.
No commits in the last 6 months.
Use this if you need to accurately track and reconstruct 3D hand poses in real-time, especially in scenarios where hands might be partially obscured or oriented in challenging ways.
Not ideal if your application requires tracking other body parts or objects, or if you need to operate without access to image or video input of the hand.
Stars
66
Forks
2
Language
Python
License
MIT
Category
Last pushed
Dec 01, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/hxwork/H2ONet_Pytorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DeepLabCut/DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with...
openpifpaf/openpifpaf
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and...
lambdaloop/anipose
🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
DIYer22/bpycv
Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
NeLy-EPFL/DeepFly3D
Motion capture (markerless 3D pose estimation) pipeline and helper GUI for tethered Drosophila.