EthanH3514/AL_Yolo
A real-time computer vision system for low-latency visual target detection and tracking, powered by YOLOv5.
- Stars
- 366
- Forks
- 53
- Open issues
- 17
- Last push
- 2mo ago
About AL_Yolo
AL_Yolo is a free, open-source computer vision tool by EthanH3514, written mainly in Python. A real-time computer vision system for low-latency visual target detection and tracking, powered by YOLOv5. It has 366 GitHub stars and 53 forks, and was last updated 2mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 366
- Last update
- 2mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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AL_Yolo FAQ
Is AL_Yolo free?
Yes. AL_Yolo is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does AL_Yolo run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does AL_Yolo need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is AL_Yolo still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to AL_Yolo?
Similar free, open-source tools include yolov5, ultralytics, supervision, instant-ngp.