healthonrails/annolid
An annotation and instance segmentation-based multi-object tracking and behavior analysis package.
- Stars
- 59
- Forks
- 11
- Open issues
- 6
- Last push
- 23d ago
annolid star history
+0 this week
About annolid
annolid is a free, open-source computer vision tool by healthonrails, written mainly in Python. An annotation and instance segmentation-based multi-object tracking and behavior analysis package. It has 59 GitHub stars and 11 forks, and was last updated 23d ago. GitHub doesn't detect a standard license, so check the repository before using it commercially. According to the project, it works on macOS.
- License
- Not detected
- Commercial use
- No license
- Language
- Python
- Stars
- 59
- Last update
- 23d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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annolid FAQ
Can I use annolid commercially?
Unclear. No license was detected, which legally means all rights are reserved. Ask the author before using it commercially. This is a plain-English summary, not legal advice.
Is annolid free?
Yes. annolid is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does annolid run on a Mac?
Yes. According to the project, annolid works on macOS.
Does annolid need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is annolid still maintained?
Yes. It was last updated 23d ago and has 6 open issues on GitHub.
What are alternatives to annolid?
Similar free, open-source tools include ultralytics, yolov5, EasyOCR, supervision.
Maintain annolid?
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