{"repo":"BrainLesion/panoptica","free":true,"listed":false,"github":"https://github.com/BrainLesion/panoptica","clone":"git clone https://github.com/BrainLesion/panoptica.git","description":"panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps","language":"Python","stars":33,"topics":["3d","evaluation","instance","metrics","panoptic","segmentation","semantic","instance-wise"],"license":"Apache-2.0","category":"analytics","readme_excerpt":"panoptica Computing instance-wise segmentation quality metrics for 2D and 3D semantic- and instance segmentation maps. Use Cases & Tutorials Documentation Features The package provides three core modules: 1. Instance Approximator: instance approximation algorithms to extract instances from semantic segmentation maps/model outputs. 2. Instance Matcher: matches predicted instances with reference instances. 3. Instance Evaluator: computes segmentation and detection quality metrics for pairs of predicted - and reference segmentation maps. Installation With a Python 3.10+ environment, you can install panoptica from pypi.org Or, alternatively, from conda: Available Metrics [!NOTE] Panoptica supports a large range of metrics. An overview of the supported metrics and their formulas can be found here: panoptica/metrics.md Use Cases & Tutorials Minimal example A minimal example of using panoptica could look e.g. like this (here with Matched Instances as Input): [!TIP] We provide Jupyter Notebook tutorials showcasing various use cases. You can explore them here: BrainLesion/tutorials/panoptica Semantic Segmentation Input Although an instance-wise evaluation is highly relevant and desirable for many biomedical segmentation problems, they are still addressed as semantic segmentation problems due to the lack of appropriate instance labels. This tutorial leverages all three modules of panoptica: instance approximation, -matching and -evaluation. Unmatched Instances Input It is a common issu","default_branch":null,"files":null,"tree":[],"storefront":"/r/BrainLesion","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/BrainLesion/panoptica/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}