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Vision & OCR

machinefi/trio-retina

Model-agnostic state layer for world models — turn any detector (YOLO · VLM · DINO) into one standard, queryable stream of events + latent state. numpy-only, runs on CPU at the edge.

Commercial OK · Apache-2.0CPU only OKPython
Open on GitHub Website
Stars
189
Forks
43
Open issues
0
Last push
3mo ago

About trio-retina

trio-retina is a free, open-source computer vision tool by machinefi, written mainly in Python. Model-agnostic state layer for world models — turn any detector (YOLO · VLM · DINO) into one standard, queryable stream of events + latent state. numpy-only, runs on CPU at the edge. It has 189 GitHub stars and 43 forks, and was last updated 3mo ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU.

License
Apache-2.0
Commercial use
Commercial OK
Language
Python
Stars
189
Last update
3mo ago
Runs on Mac
Not stated
GPU
Not needed (runs on CPU)
Paid API key
Not stated
Self-hostable
Yes

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trio-retina FAQ

Can I use trio-retina commercially?

Yes. Apache-2.0 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 trio-retina free?

Yes. trio-retina is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.

Does trio-retina run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does trio-retina need a GPU?

No. According to the project, trio-retina runs on a regular CPU.

Is trio-retina still maintained?

It was last updated 3mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to trio-retina?

Similar free, open-source tools include ultralytics, supervision, yolov5, pytorch-grad-cam.

Related topics

computer-visionedge-aievent-streamobject-detectionobject-trackingperceptionpythonrtsp