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
81 Jan 01, 2023
138 Dec 26, 2022
1.1k Jan 08, 2023
1 Apr 04, 2022
2.4k Jan 08, 2023
67 Nov 30, 2022
65 Dec 30, 2022
2 Jan 19, 2022
4.4k Dec 31, 2022
24 Dec 27, 2022
121 Oct 15, 2021
1.3k Jan 05, 2023
2 Jan 16, 2022
575 Dec 31, 2022
2k Dec 31, 2022
157 Aug 23, 2022
80 Dec 28, 2021
12 Mar 11, 2022
4 Jan 24, 2022
3 Nov 17, 2021