Evaluation of Plane Segmentation.
Project description
Instance Segmentation Metrics
Instanseg is an open-source python library that provides various metrics for evaluating the results of the algorithms for segmenting and associating instances.
List of metrics implemented in the library:
- Summary segmentation metrics
- Instance-based segmentation metrics
- Point-based segmentation metrics
For more, please visit the Instanseg documentation.
You can also find full information about the project on the Instanseg project website.
Python quick start
Library can be installed using the pip package manager:
$ # Install package
$ pip install instanseg
$ # Check installed version of package
$ pip show instanseg
Example of usage
Below is an example of using the precision metric:
>>> from instanseg.metrics import precision
>>> pred_labels = np.array([1, 1, 3, 3])
>>> gt_labels = np.array([2, 2, 0, 3])
>>> tp_condition = "iou"
>>> precision(pred_labels, gt_labels, tp_condition)
0.5
Citation
@misc{kornilova2022evops,
title={EVOPS Benchmark: Evaluation of Plane Segmentation from RGBD and LiDAR Data},
author={Anastasiia Kornilova, Dmitrii Iarosh, Denis Kukushkin, Nikolai Goncharov, Pavel Mokeev, Arthur Saliou, Gonzalo Ferrer},
year={2022},
eprint={2204.05799},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
License
This project is licensed under the Apache License - see the LICENSE file for details.
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