ChirikjianLab/Marching-Primitives
[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function
- Stars
- 149
- Forks
- 8
- Open issues
- 2
- Last push
- 7mo ago
About Marching-Primitives
Marching-Primitives is a free, open-source computer vision tool by ChirikjianLab, written mainly in MATLAB. [CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function. It has 149 GitHub stars and 8 forks, and was last updated 7mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- MATLAB
- Stars
- 149
- Last update
- 7mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Marching-Primitives FAQ
Can I use Marching-Primitives commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is Marching-Primitives free?
Yes. Marching-Primitives is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Marching-Primitives run on a Mac?
Yes. According to the project, Marching-Primitives works on macOS.
Does Marching-Primitives need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Marching-Primitives still maintained?
It was last updated 7mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Marching-Primitives?
Similar free, open-source tools include instant-ngp, ultralytics, yolov5, segmentation_models.pytorch.
Maintain Marching-Primitives?
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