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Vision & OCR

YilmazKadir/Volt

[ECCV 2026 Long Oral] Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding

Commercial OK · MITRuns on MacPython
Stars
192
Forks
12
Open issues
0
Last push
1mo ago

Volt star history

-2 this week

195 ★
21 Oct25 Oct
Volt went from 194 to 192 GitHub stars over the last 4 days.

About Volt

Volt is a free, open-source computer vision tool by YilmazKadir, written mainly in Python. [ECCV 2026 Long Oral] Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding. It has 192 GitHub stars and 12 forks, and was last updated 1mo 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
Python
Stars
192
Last update
1mo 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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Volt FAQ

Can I use Volt 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 Volt free?

Yes. Volt is open source and free to use. It's released under the MIT license, a standard open-source license.

Does Volt run on a Mac?

Yes. According to the project, Volt works on macOS.

Does Volt need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is Volt still maintained?

It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to Volt?

Similar free, open-source tools include ultralytics, segmentation_models.pytorch, yolov5, MonoScene.

Maintain Volt?

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