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
12.3k Jan 05, 2023
26 Jun 17, 2021
3 Feb 17, 2022
138 Dec 26, 2022
88 Oct 20, 2022
1.1k Dec 30, 2022
5 Dec 06, 2021
2.9k Jan 02, 2023
10 Sep 23, 2022
224 Jan 07, 2023
6 Dec 09, 2022
62 Oct 10, 2022
231 Dec 27, 2022
541 Dec 28, 2022
42 Jun 05, 2022
5.2k Dec 30, 2022
90 Dec 22, 2022
76 Dec 06, 2022