esimov/caire
Content aware image resize library
MITRuns on MacGo
- Stars
- 11k
- Forks
- 399
- Open issues
- 7
- Last push
- today
About caire
caire is a free, open-source computer vision tool by esimov, written mainly in Go. Content aware image resize library. It has 11k GitHub stars and 399 forks, and was last updated today. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Language
- Go
- Stars
- 10,824
- Last update
- today
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
Similar free tools
supervision51k stars · We write your reusable computer vision tools. 💜
ultralytics63k stars · Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
deep-learning-drizzle13k stars · Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
autogluon11k stars · Fast and Accurate ML in 3 Lines of Code
pytorch-grad-cam13k stars · Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
X-AnyLabeling11k stars · X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with stat
caire FAQ
Is caire free?
Yes. caire is open source and free to use. It's released under the MIT license, a standard open-source license.
Does caire run on a Mac?
Yes. According to the project, caire works on macOS.
Does caire need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is caire still maintained?
Yes. It was last updated today and has 7 open issues on GitHub.
What are alternatives to caire?
Similar free, open-source tools include supervision, ultralytics, deep-learning-drizzle, autogluon.