CVCUDA/CV-CUDA
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
- Stars
- 2.7k
- Forks
- 264
- Open issues
- 61
- Last push
- 2d ago
About CV-CUDA
CV-CUDA is a free, open-source computer vision tool by CVCUDA, written mainly in C++. CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision. It has 2.7k GitHub stars and 264 forks, and was last updated 2d ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- C++
- Stars
- 2,730
- Last update
- 2d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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CV-CUDA FAQ
Is CV-CUDA free?
Yes. CV-CUDA is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does CV-CUDA run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does CV-CUDA need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is CV-CUDA still maintained?
Yes. It was last updated 2d ago and has 61 open issues on GitHub.
What are alternatives to CV-CUDA?
Similar free, open-source tools include supervision, ultralytics, deep-learning-drizzle, gradio.