FORTH-ModelBasedTracker/MocapNET
A real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our cont
- Stars
- 956
- Forks
- 144
- Open issues
- 21
- Last push
- 2mo ago
About MocapNET
MocapNET is a free, open-source computer vision tool by FORTH-ModelBasedTracker, written mainly in C++. A real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our cont. It has 956 GitHub stars and 144 forks, and was last updated 2mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- C++
- Stars
- 956
- Last update
- 2mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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MocapNET FAQ
Is MocapNET free?
Yes. MocapNET is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does MocapNET run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does MocapNET need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is MocapNET still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to MocapNET?
Similar free, open-source tools include ultralytics, instant-ngp, deep-learning-drizzle, cvat.