{"id":20988358,"url":"https://github.com/ikomia-dev/ikomiastudio","last_synced_at":"2025-05-12T17:26:06.616Z","repository":{"id":37711076,"uuid":"339127650","full_name":"Ikomia-dev/IkomiaStudio","owner":"Ikomia-dev","description":"Your open-source UI software for Computer Vision 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name=\"readme-top\"\u003e\u003c/a\u003e\n\n\u003c!-- PROJECT LOGO --\u003e\n\u003cdiv align=\"center\"\u003e\n  \u003ca href=\"https://github.com/Ikomia-dev/IkomiaStudio\"\u003e\n    \u003cimg src=\"https://avatars.githubusercontent.com/u/53618017?s=400\u0026u=e9c62c77b7c33b6b7f4883b115a0d7d05dcca9ec\u0026v=4\" alt=\"Logo\" width=\"100\" height=\"100\"\u003e\n  \u003c/a\u003e\n  \u003ch1 align=\"center\"\u003eYour open-source UI software for Computer Vision applications\u003c/h1\u003e\n  \u003ca href=\"https://github.com/Ikomia-dev/IkomiaStudio/issues/new?assignees=\u0026labels=bug\u0026template=01_BUG_REPORT.md\u0026title=bug%3A+\"\u003eReport a Bug\u003c/a\u003e\n  ·\n  \u003ca href=\"https://github.com/Ikomia-dev/IkomiaStudio/issues/new?assignees=\u0026labels=enhancement\u0026template=02_FEATURE_REQUEST.md\u0026title=feat%3A+\"\u003eRequest a Feature\u003c/a\u003e\n  .\n  \u003ca href=\"https://github.com/Ikomia-dev/IkomiaStudio/discussions\"\u003eAsk a Question\u003c/a\u003e\n\u003c/div\u003e\n\u003cbr /\u003e\n\u003cp align=\"center\"\u003e\n    \u003ca href=\"https://github.com/Ikomia-dev/IkomiaStudio/stargazers\"\u003e\n        \u003cimg alt=\"Stars\" src=\"https://img.shields.io/github/stars/Ikomia-dev/IkomiaStudio\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"\"\u003e\n        \u003cimg alt=\"Platform\" src=\"https://img.shields.io/badge/platform-win%2C%20linux-9cf\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://github.com/Ikomia-dev/IkomiaStudio/blob/main/LICENSE.md\"\u003e\n        \u003cimg alt=\"License\" src=\"https://img.shields.io/github/license/Ikomia-dev/IkomiaStudio.svg?color=blue\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://github.com/Ikomia-dev/IkomiaStudio/tags\"\u003e\n        \u003cimg alt=\"GitHub tags\" src=\"https://img.shields.io/github/v/release/Ikomia-dev/IkomiaStudio.svg?color=red\"\u003e\n    \u003c/a\u003e\n    \u003cbr\u003e\n    \u003ca href=\"https://discord.com/invite/82Tnw9UGGc\"\u003e\n        \u003cimg alt=\"Discord community\" src=\"https://img.shields.io/badge/Discord-white?style=social\u0026logo=discord\"\u003e\n    \u003c/a\u003e \n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ckbd\u003e\n    \u003cimg src=\"https://github.com/Ikomia-dev/IkomiaStudio/assets/42171814/f8e6fd4a-35de-4358-b300-31550d86a673\"/\u003e\n  \u003c/kbd\u003e\n\u003c/p\u003e\n\n\u003c!-- ABOUT THE PROJECT --\u003e\n## About The Project\n\nAt 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).\n\nOur 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). \nWithin a unified framework, developers can craft workflows and seamlessly blend these cutting-edge algorithms, streamlining the integration process by eliminating its complexities.\n\nBy 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.\n\n*Stay tuned for our forthcoming SaaS platform, designed to simplify workflow publication and deployment on dedicated CPU or GPU endpoints. Contact us at team@ikomia.ai for more information.*\n\n\u003c!-- GETTING STARTED --\u003e\n## Getting Started\n\n### Installation\n\nDownload and install Ikomia STUDIO from our [website](https://www.ikomia.ai/studio/).\n\n\u003c!-- USAGE EXAMPLES --\u003e\n## Usage\n\n### Building Workflows\n\nIkomia STUDIO provides an intuitive interface to build workflows by visually connecting algorithms.\n\n1. Launch Ikomia STUDIO.\n2. Open your image, video or stream.\n3. Select desired algorithms onto the canvas.\n4. Connect algorithms to define data flow.\n5. Configure parameters as needed.\n6. Run the workflow to see results.\n\n\u003c!-- CONTRIBUTING --\u003e\n## Contributing\n\nWe 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).\n\n\u003c!-- LICENSE --\u003e\n## License\n\nDistributed under the AGPL-3.0 License. See `LICENSE.md` for more information.\n\n\u003c!-- STARGAZERS --\u003e\n## They like us, we love them :heart_eyes:\n\n[![Stargazers repo roster for @Ikomia-dev/IkomiaStudio](http://reporoster.com/stars/Ikomia-dev/IkomiaStudio)](https://github.com/Ikomia-dev/IkomiaStudio/stargazers)\n\n## Star History\n\n[![Star History Chart](https://api.star-history.com/svg?repos=Ikomia-dev/IkomiaStudio\u0026type=Date)](https://star-history.com/#Ikomia-dev/IkomiaStudio\u0026Date)\n\n\u003c!-- CITATION --\u003e\n## Citing Ikomia\n\nIf you use Ikomia STUDIO in your work, please consider citing us using the following BibTeX entry.\n\n```BibTeX\n@misc{DeBa2019Ikomia,\n  author =       {Guillaume Demarcq and Ludovic Barusseau},\n  title =        {Ikomia STUDIO},\n  howpublished = {\\url{https://github.com/Ikomia-dev/IkomiaStudio}},\n  year =         {2019}\n}\n```\n\n\u003c!-- SUPPORT --\u003e\n## Support\n\nIf you need assistance or have questions, feel free to reach out to us at team@ikomia.ai.\n\u003c!-- CONTACT --\u003e\nContact\n\nIkomia - @IkomiaOfficial - team@ikomia.com\n\nProject Link: https://github.com/Ikomia-dev/IkomiaStudio\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fikomia-dev%2Fikomiastudio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fikomia-dev%2Fikomiastudio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fikomia-dev%2Fikomiastudio/lists"}