EVOPS: library for evaluating plane segmentation algorithms

EVOPS is an open-source python library that provides various metrics for evaluating the results of the algorithms for segmenting and associating planes from point clouds collected from LIDARs and RGBD devices.

List of metrics implemented in the library:

• Summary segmentation metrics
  • Panoptic
  • Full statistics
• Instance-based segmentation metrics
  • Precision
  • Recall
  • F-Score
  • Under segmented ratio
  • Over segmented ratio
  • Noise ratio
  • Missed ratio
• Point-based segmentation metrics
  • Intersection over Union (IoU)
  • Dice
  • Mean of some metric for matched instances

For more, please visit the EVOPS documentation.

You can also find full information about the project on the EVOPS project website.

Python quick start

Library can be installed using the pip package manager:

$ # Install package
$ pip install evops

$ # Check installed version of package
$ pip show evops

Example of usage

Below is an example of using the precision metric:

>>> from evops.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.