tue-mps/eomt
[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
- Stars
- 633
- Forks
- 64
- Open issues
- 0
- Last push
- 10d ago
About eomt
eomt is a free, open-source computer vision tool by tue-mps, written mainly in Jupyter Notebook. [CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT). It has 633 GitHub stars and 64 forks, and was last updated 10d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Language
- Jupyter Notebook
- Stars
- 633
- Last update
- 10d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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eomt FAQ
Is eomt free?
Yes. eomt is open source and free to use. It's released under the MIT license, a standard open-source license.
Does eomt run on a Mac?
Yes. According to the project, eomt works on macOS.
Does eomt need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is eomt still maintained?
Yes. It was last updated 10d ago and has 0 open issues on GitHub.
What are alternatives to eomt?
Similar free, open-source tools include ultralytics, vit-pytorch, cvat, yolov5.