ultralytics-ascend/docs/en/reference/utils/metrics.md
Glenn Jocher 2af71d15a6
Refactor all Ultralytics Solutions (#12790)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: RizwanMunawar <chr043416@gmail.com>
2024-05-18 18:14:42 +02:00

2 KiB

description keywords
Explore Ultralytics YOLO metrics tools - from confusion matrix, detection metrics, pose metrics to box IoU. Learn how to compute and plot precision-recall curves. Ultralytics, YOLO, YOLOv3, YOLOv4, metrics, confusion matrix, detection metrics, pose metrics, box IoU, mask IoU, plot precision-recall curves, compute average precision

Reference for ultralytics/utils/metrics.py

!!! Note

This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/metrics.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/metrics.py). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/metrics.py) 🛠️. Thank you 🙏!



::: ultralytics.utils.metrics.ConfusionMatrix



::: ultralytics.utils.metrics.Metric



::: ultralytics.utils.metrics.DetMetrics



::: ultralytics.utils.metrics.SegmentMetrics



::: ultralytics.utils.metrics.PoseMetrics



::: ultralytics.utils.metrics.ClassifyMetrics



::: ultralytics.utils.metrics.OBBMetrics



::: ultralytics.utils.metrics.bbox_ioa



::: ultralytics.utils.metrics.box_iou



::: ultralytics.utils.metrics.bbox_iou



::: ultralytics.utils.metrics.mask_iou



::: ultralytics.utils.metrics.kpt_iou



::: ultralytics.utils.metrics._get_covariance_matrix



::: ultralytics.utils.metrics.probiou



::: ultralytics.utils.metrics.batch_probiou



::: ultralytics.utils.metrics.smooth_BCE



::: ultralytics.utils.metrics.smooth



::: ultralytics.utils.metrics.plot_pr_curve



::: ultralytics.utils.metrics.plot_mc_curve



::: ultralytics.utils.metrics.compute_ap



::: ultralytics.utils.metrics.ap_per_class