# wkentaro/osam

<https://repo.masters-masters.com/en/repos/wkentaro/osam>

[Home](https://repo.masters-masters.com/en) › [wkentaro](https://repo.masters-masters.com/en/owners/wkentaro) › [osam](https://repo.masters-masters.com/en/repos/wkentaro/osam)

wkentaro/osam has 118 stars on GitHub. Its RepoMasters card: Prototype tier. Run SAM 1/2/3, EfficientSAM, YOLO-World and other promptable vision models…

| Field | Value |
| --- | --- |
| Owner | [wkentaro](https://repo.masters-masters.com/en/owners/wkentaro) |
| Stars | 118 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | computer-vision, deep-learning, foundation-models, segment-anything, onnx |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [wkentaro/osam](https://github.com/wkentaro/osam) |

## Repository

Run SAM 1/2/3, EfficientSAM, YOLO-World and other promptable vision models locally, on CPU, CUDA or CoreML.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.