choyingw/SynergyNet
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
- Stars
- 417
- Forks
- 63
- Open issues
- 18
- Last push
- 7mo ago
About SynergyNet
SynergyNet is a free, open-source computer vision tool by choyingw, written mainly in Jupyter Notebook. 3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry. It has 417 GitHub stars and 63 forks, and was last updated 7mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Jupyter Notebook
- Stars
- 417
- Last update
- 7mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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SynergyNet FAQ
Is SynergyNet free?
Yes. SynergyNet is open source and free to use. It's released under the MIT license, a standard open-source license.
Does SynergyNet run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does SynergyNet need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is SynergyNet still maintained?
It was last updated 7mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to SynergyNet?
Similar free, open-source tools include ultralytics, deep-learning-drizzle, instant-ngp, vit-pytorch.