danini/graph-cut-ransac
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thec
- Stars
- 471
- Forks
- 96
- Open issues
- 10
- Last push
- 11mo ago
About graph-cut-ransac
graph-cut-ransac is a free, open-source AI resource list by danini, written mainly in C++. The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thec. It has 471 GitHub stars and 96 forks, and was last updated 11mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- C++
- Stars
- 471
- Last update
- 11mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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graph-cut-ransac FAQ
Is graph-cut-ransac free?
Yes. graph-cut-ransac is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does graph-cut-ransac run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does graph-cut-ransac need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is graph-cut-ransac still maintained?
It was last updated 11mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to graph-cut-ransac?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, ICCV-2023-25-Papers, Transformer-in-Computer-Vision, Video-Depth-Estimation-Rankings-and-Stereo-Video-Conversion-Rankings.