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Hence, full backwards\ncompatibility,... or support for all features is not guaranteed.\n\n\n**The main features** of this library are:\n\n- High level API (just two lines of code to create model for segmentation)\n- **4** models architectures for binary and multi-class image segmentation\n  (including legendary **Unet**)\n- **20+** available backbones for each architecture\n- All backbones have **pre-trained** weights for faster and better convergence\n- Helpful segmentation losses (Jaccard, Dice, Focal) and metrics (IoU, F-score)\n\nDocumentation\n~~~~~~~~~~~~~\nThe **documentation** of the current stable version is available here:\n`Read the docs, stable \u003chttps://segmodels_keras.readthedocs.io/en/stable/\u003e`__.\n\nThe lastest version of the documentation (= of the main branch) can be found here:\n`Read the docs, latest \u003chttps://segmodels_keras.readthedocs.io/en/latest/\u003e`__.\n\nChange Log\n~~~~~~~~~~\nTo see important changes between versions look at CHANGELOG.md_\n\nLicense\n~~~~~~~\nProject is distributed under `MIT Licence`_.\n\n.. _CHANGELOG.md: https://github.com/orthoseg/segmodels_keras/blob/main/CHANGELOG.md\n.. _`MIT Licence`: https://github.com/orthoseg/segmodels_keras/blob/main/LICENSE\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Forthoseg%2Fsegmodels_keras","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Forthoseg%2Fsegmodels_keras","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Forthoseg%2Fsegmodels_keras/lists"}