Awesome
seg-eval
seg-eval is a Python library that provides tools for evaluating semantic segmentation models.
This library is associated to the paper Guidelines to Compare Semantic Segmentation Maps at Different Resolutions.
What's inside
- Pixel-wise semantic segmentation metrics.
- Utilities to generate evaluation regions and to analyze segmentation results within them.
- Functions to qualitatively analyze segmentation results and to generate figures for academic papers.
Installation
Since the package has not been converted into a pip installable package yet, you can install it by cloning this repository.
git clone https://github.com/itracasa/seg-eval.git
Example notebooks
- 1.
metrics
module: Pixel-wise semantic segmentation metrics. - 2.
region_metrics
module: Utilities to generate evaluation regions and to analyze segmentation results within them.
The visualization
module is used in both of the notebooks.