Osam

What's Changed

Features

* Introduce Sam2 by wkentaro in https://github.com/wkentaro/osam/pull/26

Others
* fix: typo in readme CLI example `text` should be `texts` by h0uter in https://github.com/wkentaro/osam/pull/24
* Fix CI by wkentaro in https://github.com/wkentaro/osam/pull/25
* Simplify sam and efficientsam module by wkentaro in https://github.com/wkentaro/osam/pull/27
* Simplify typing annotation: List -> list, Tuple -> tuple by wkentaro in https://github.com/wkentaro/osam/pull/28


New Contributors
* h0uter made their first contribution in https://github.com/wkentaro/osam/pull/24

**Full Changelog**: https://github.com/wkentaro/osam/compare/v0.2.2...v0.2.3

Features

- Provide non_maximum_suppression in osam.apis 23

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- To support this project, check my [Sponsor Page](https://github.com/sponsors/wkentaro).

Other

- Move back all modules to osam 21
- Make `osam serve` optional by `pip install osam[serve]` 22

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- Give me the feedback via [X (Twitter)](https://twitter.com/wkentaro_).
- To support this project, check my [Sponsor Page](https://github.com/sponsors/wkentaro).

<img src=https://github.com/osamproject/osam/assets/4310419/a0ee21e5-057a-4819-b082-a48eda972310 width=50%>



Features

- Add YoloWorld: `osam run yoloworld --image <image_file>`
- Support receiving and returning image embeddings in the generate API 19

Enhancement

- Support point_labels 2, 3 (bbox left-top / right-bottom) in Prompt 18
- Separate core functionality to osam-core 20

🚀 Features

- Try using all of the available inference providers 12, Thanks knorth55
- Support <model_name>[:latest] syntax, rename model tags to :latest 17

✨ Enhancement

- Add benchmark.py and make only CUDA enable when available (ignore TensorRT, Azure, CoreML, which are not-tested / not-benefit) 15

💬 Other

- Run CI on macOS and Windows 13
- Fix README (output extension must be .png) 14
- Install onnxruntime-gpu for non-Darwin platform 16

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- For my daily development update, check [my Twitter/X](https://twitter.com/wkentaro_).
- If you'd like to support this project, check [my sponsoring page](https://github.com/sponsors/wkentaro).

Initial release.

sam2.1
Adding onnx files exported using the code in https://github.com/ryouchinsa/sam-cpp-macos (MIT License), and extract to download and use it.

Since the sam2 model weights are originally published with Apache2.0, onnx file's license are kept as Apache 2.0.