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logo][ilastik-logo]\n\n# ilastik\n\n\u003e The interactive learning and segmentation toolkit\n\n[![Conda Badge][conda-img]][conda-url]\n[![CircleCI][circleci-img]][circleci-url]\n[![AppVeyor][appveyor-img]][appveyor-url]\n[![Codecov][codecov-img]][codecov-url]\n[![Image.sc forum][imagesc-img]][imagesc-url]\n[![Code style: black][black-img]][black-url]\n\nLeverage machine learning algorithms to easily segment, classify, track and count your cells or other experimental data.\nMost operations are interactive, even on large datasets: you just draw the labels and immediately see the result.\n**No machine learning expertise required.**\n\n![Screenshot][screenshot]\n\nSee [ilastik.org](https://ilastik.org) for more info and [downloads][download-page].\n\n---\n\n* [Installation](#installation)\n* [Usage](#usage)\n* [Support](#support)\n* [Contributing](#contributing)\n* [License](#license)\n\n## Installation\n\n### Binary installation\n\nGo to the [download page][download-page], get the latest _non-beta_ version for your operating system, and follow the [installation instructions][how-to-install].\nIf you are new to ilastik, we suggest to start from the [pixel classification workflow][pixel-classification].\nIf you don't have a dataset to work with, download one of the example projects to get started.\n\n### Conda installation (experimental)\n\nilastik is also available as a conda package on our `ilastik-forge` conda channel.\nYou can install it from the commandline using [conda][conda]:\n\n```bash\n conda create -n ilastik --override-channels -c ilastik-forge/label/patched-2 -c conda-forge -c ilastik-forge ilastik\n\n# activate ilastik environment and start ilastik\nconda activate ilastik\nilastik\n````\n\n#### Python compatibility notes\n\nThe current version of ilastik (up to the stable release `1.4.1`) is developed for Python `3.9`.\nVersions of ilastik until `1.4.1b2` are based on, and only compatible with Python `3.7`\nStarting from ilastik `1.4.1b3` ilastik environments can be created with Python versions `3.7` to `3.9`.\nLimitations when going with Python `3.7`: please use a version of tifffile `\u003e2020.9.22,\u003c=2021.11.2` (see also note in [environment-dev.yml](dev/environment-dev.yml)).\n\n\n## Usage\n\nilastik is a collection of workflows, designed to guide you through a sequence of steps.\nYou can select a new workflow, or load an existing one, via the [startup screen][startup].\nThe specific steps vary between workflows, but there are some common elements like [data selection][data-selection] and [data navigation][data-navigation].\nSee more details on the [documentation page][documentation].\n\n## Support\n\nIf you have a question, please create a topic on the [image.sc forum][imagesc-url].\nBefore doing that, [search][imagesc-search] for similar topics first: maybe your issue has been already solved!\nYou can also open an [issue][issues] here on GitHub if you have a technical bug report and/or feature suggestion.\n\n## Contributing\n\nWe always welcome good pull requests!\nIf you just want to suggest a documentation edit, [you can do this directly here, on GitHub][edit-files-on-github].\nFor more complex changes, see [CONTRIBUTING.md](CONTRIBUTING.md) for details.\n\n## License\n\n[GPL](LICENSE)\n\n[circleci-img]: https://img.shields.io/circleci/build/github/ilastik/ilastik/main?logo=circleci\n[circleci-url]: https://app.circleci.com/pipelines/github/ilastik/ilastik?branch=main\n[appveyor-img]: https://img.shields.io/appveyor/build/ilastik/ilastik/main?logo=appveyor\n[appveyor-url]: https://ci.appveyor.com/project/ilastik/ilastik/branch/main\n[codecov-img]: https://img.shields.io/codecov/c/github/ilastik/ilastik/main\n[codecov-url]: https://codecov.io/gh/ilastik/ilastik/branch/main\n[conda-img]: https://anaconda.org/ilastik-forge/ilastik/badges/version.svg\n[conda-url]: https://anaconda.org/ilastik-forge/ilastik\n[imagesc-img]: https://img.shields.io/badge/dynamic/json.svg?label=forum\u0026amp;url=https%3A%2F%2Fforum.image.sc%2Ftags%2Filastik.json\u0026amp;query=%24.topic_list.tags.0.topic_count\u0026amp;colorB=brightgreen\u0026amp;\u0026amp;suffix=%20topics\u0026amp;logo=data:image/png;base64,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\n[imagesc-url]: https://forum.image.sc/tags/ilastik\n[black-img]: https://img.shields.io/badge/code%20style-black-black\n[black-url]: https://github.com/psf/black\n[ilastik-logo]: https://www.ilastik.org/assets/ilastik-logo.png\n[screenshot]: https://www.ilastik.org/assets/img/carousel/crop_training1.jpg\n[download-page]: https://www.ilastik.org/download.html\n[how-to-install]: https://www.ilastik.org/documentation/basics/installation.html\n[documentation]: https://www.ilastik.org/documentation/index.html\n[pixel-classification]: https://www.ilastik.org/documentation/pixelclassification/pixelclassification\n[startup]: https://www.ilastik.org/documentation/basics/startup\n[data-selection]: https://www.ilastik.org/documentation/basics/dataselection\n[data-navigation]: https://www.ilastik.org/documentation/basics/navigation\n[imagesc-search]: https://forum.image.sc/search\n[issues]: https://github.com/ilastik/ilastik/issues\n[edit-files-on-github]: https://docs.github.com/en/free-pro-team@latest/github/managing-files-in-a-repository/editing-files-in-another-users-repository\n[conda]: 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