bmcv/segmetrics

Image segmentation and object detection performance measures

Image segmentation and object detection performance measures

segmetrics

The goal of this package is to provide easy-to-use tools for evaluation of the performance of segmentation methods in biomedical image analysis and beyond, and to fasciliate the comparison of different methods by providing standardized implementations. This package currently only supports 2-D image data.

This tool is also available as a web-app for the Galaxy platform.

The documentation is available here: https://segmetrics.readthedocs.io

Use python -m unittest to run the test suite.

Contributions:

Contributions should be made against the develop branch, so that the documentation build on readthedocs.io is triggered, the documentation is built and reviewed (see here), before develop is merged into master. This ensures that the master branch always has an up-to-date documentation.

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Copyright (c) 2017-2024 Leonid Kostrykin, Biomedical Computer Vision Group, Heidelberg University
This work is licensed under the terms of the MIT license. For a copy, see LICENSE.