onemetric
Installation
-
Install onemetric from PyPI (recommended):
pip install onemetric -
Install onemetric from the GitHub source:
git clone https://github.com/SkalskiP/onemetric.git cd onemetric python setup.py install
Example
Figure 1. Dataset sample, blue - ground-truth and red - detection.
Calculate [email protected]
>>> from onemetric.cv.loaders import YOLOLoader
>>> from onemetric.cv.object_detection import MeanAveragePrecision
>>> model = load_model(...) # model-specific loading method
>>> data_set = YOLOLoader(
... images_dir_path=DATA_SET_IMAGES_PATH,
... annotations_dir_path=DATA_SET_ANNOTATIONS_PATH
... ).load()
>>> true_batches, detection_batches = [], []
>>> for entry in data_set:
>>> detections = model(entry.get_image()) # model-specific prediction method
>>> true_batches.append(entry.get_annotations())
>>> detection_batches.append(detections)
>>> mean_average_precision = MeanAveragePrecision.from_detections(
... true_batches=true_batches,
... detection_batches=detection_batches,
... num_classes=12,
... iou_threshold=0.5
... )
>>> mean_average_precision.value
0.61
Calculate Confusion Matrix
>>> confusion_matrix = ConfusionMatrix.from_detections(
... true_batches=true_batches,
... detection_batches=detection_batches,
... num_classes=12
... )
>>> confusion_matrix.plot(CONFUSION_MATRIX_TARGET_PATH, class_names=CLASS_NAMES)
Figure 2. Create confusion matrix chart
Documentation
The official documentation is hosted on Github Pages: https://skalskip.github.io/onemetric
Contribute
Feel free to file issues or pull requests. Let us know what metrics should be part of onemetric!
Citation
Please cite onemetric in your publications if this is useful for your research. Here is an example BibTeX entry:
@MISC{onemetric,
author = {Piotr Skalski},
title = {{onemetric}},
howpublished = "\url{https://github.com/SkalskiP/onemetric/}",
year = {2021},
}
License
This project is licensed under the BSD 3 - see the LICENSE file for details.
80 Dec 30, 2022
16.7k Jan 3, 2023
138 Dec 9, 2022
431 Jan 4, 2023
95 Nov 24, 2022
41 Dec 30, 2022
5.2k Jan 4, 2023
7.6k Jan 4, 2023
65.7k Jan 3, 2023
1 Dec 17, 2021
20 Nov 10, 2022
484 Dec 07, 2022
169 Dec 30, 2022
21 Dec 25, 2022
24 Jul 15, 2022
422 Jan 03, 2023
1 Feb 13, 2022
102 Jun 29, 2022
47k Jan 07, 2023
9 Oct 14, 2022
581 Nov 22, 2022
1 Feb 04, 2022
37 Dec 01, 2022
20 Oct 25, 2022
6 Jun 28, 2022
84 Jan 05, 2022
185 Jan 01, 2023
1 Jan 31, 2022
2 Jul 14, 2022