vvorobiov/opencv_yolo
Video Object Detection in Java with OpenCV + YOLO11 - full end-to-end tutorial
- Stars
- 50
- Forks
- 5
- Open issues
- 0
- Last push
- 11mo ago
opencv_yolo star history
+0 this week
About opencv_yolo
opencv_yolo is a free, open-source computer vision tool by vvorobiov, written mainly in Java. Video Object Detection in Java with OpenCV + YOLO11 - full end-to-end tutorial. It has 50 GitHub stars and 5 forks, and was last updated 11mo 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
- Java
- Stars
- 50
- Last update
- 11mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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opencv_yolo FAQ
Can I use opencv_yolo 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 opencv_yolo free?
Yes. opencv_yolo is open source and free to use. It's released under the MIT license, a standard open-source license.
Does opencv_yolo run on a Mac?
Yes. According to the project, opencv_yolo works on macOS.
Does opencv_yolo need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is opencv_yolo still maintained?
It was last updated 11mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to opencv_yolo?
Similar free, open-source tools include ultralytics, supervision, yolov5, gocv.
Maintain opencv_yolo?
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