https://github.com/ikomia-dev/ikomiastudio

Your open-source UI software for Computer Vision applications
https://github.com/ikomia-dev/ikomiastudio

artificial-intelligence computer-vision deep-learning desktop-app image-processing opencv qt5-gui software video-processing workflow

Last synced: about 1 month ago
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Your open-source UI software for Computer Vision applications

• Host: GitHub
• URL: https://github.com/ikomia-dev/ikomiastudio
• Owner: Ikomia-dev
• License: agpl-3.0
• Created: 2021-02-15T15:54:12.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-10-29T07:46:37.000Z (about 2 months ago)
• Last Synced: 2024-10-29T08:30:14.417Z (about 2 months ago)
• Topics: artificial-intelligence, computer-vision, deep-learning, desktop-app, image-processing, opencv, qt5-gui, software, video-processing, workflow
• Language: C++
• Homepage: https://www.ikomia.ai/studio
• Size: 5.51 MB
• Stars: 47
• Watchers: 5
• Forks: 13
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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Your open-source UI software for Computer Vision applications

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## About The Project

At Ikomia, we deeply believe that sharing scientific knowledge is the key to success. This belief drives us to make research-based algorithms ready-to-use for developers through our Python library ([Ikomia API](https://github.com/Ikomia-dev/IkomiaAPI)) and desktop software (Ikomia STUDIO).

Our main goal is to convert existing Python code into easily accessible and deployable algorithms. This approach enables us to integrate repositories from researchers, labs, and renowned frameworks like [OpenCV](https://github.com/opencv/opencv), [Detectron2](https://github.com/facebookresearch/detectron2), [OpenMMLab](https://github.com/open-mmlab) and [Hugging Face](https://github.com/huggingface). 

Within a unified framework, developers can craft workflows and seamlessly blend these cutting-edge algorithms, streamlining the integration process by eliminating its complexities.

By democratizing advanced technologies, we strive to accelerate innovation in AI, computer vision, and machine learning. Our platform empowers developers to leverage cutting-edge algorithms effortlessly, thereby fostering collaboration and transformative applications.

*Stay tuned for our forthcoming SaaS platform, designed to simplify workflow publication and deployment on dedicated CPU or GPU endpoints. Contact us at [email protected] for more information.*

## Getting Started

### Installation

Download and install Ikomia STUDIO from our [website](https://www.ikomia.ai/studio/).

## Usage

### Building Workflows

Ikomia STUDIO provides an intuitive interface to build workflows by visually connecting algorithms.

1. Launch Ikomia STUDIO.

2. Open your image, video or stream.

3. Select desired algorithms onto the canvas.

4. Connect algorithms to define data flow.

5. Configure parameters as needed.

6. Run the workflow to see results.

## Contributing

We welcome contributions, bug reports, and feature requests. Feel free to create issues and pull requests in our [GitHub repository](https://github.com/Ikomia-dev/IkomiaStudio).

## License

Distributed under the AGPL-3.0 License. See `LICENSE.md` for more information.

## They like us, we love them :heart_eyes:

[![Stargazers repo roster for @Ikomia-dev/IkomiaStudio](http://reporoster.com/stars/Ikomia-dev/IkomiaStudio)](https://github.com/Ikomia-dev/IkomiaStudio/stargazers)

## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=Ikomia-dev/IkomiaStudio&type=Date)](https://star-history.com/#Ikomia-dev/IkomiaStudio&Date)

## Citing Ikomia

If you use Ikomia STUDIO in your work, please consider citing us using the following BibTeX entry.

```BibTeX

@misc{DeBa2019Ikomia,

  author =       {Guillaume Demarcq and Ludovic Barusseau},

  title =        {Ikomia STUDIO},

  howpublished = {\url{https://github.com/Ikomia-dev/IkomiaStudio}},

  year =         {2019}

}

```

## Support

If you need assistance or have questions, feel free to reach out to us at [email protected].

Contact

Ikomia - @IkomiaOfficial - [email protected]

Project Link: https://github.com/Ikomia-dev/IkomiaStudio