在PyTorch中,可以使用torchmetrics库来计算IoU(Intersection over Union,交并比)。torchmetrics是一个为PyTorch设计的第三方库,提供了多种评估指标,包括IoU。 以下是如何使用torchmetrics计算IoU的步骤: 安装torchmetrics库: 如果还没有安装torchmetrics,可以使用以下命令进
What does this PR do? Preventing future collision with adding detection IoU metrics and in docs we say that our IoU is known as jaccard index anyway Before submitting Was this discussed/approved ...
AddedJensenShannonDivergencemetric to regression package (#2992) AddedClusterAccuracymetric to cluster package (#2777) AddedEqual Error Rate (EER)to classification package (#3013) Added functional interface toMeanAveragePrecisionmetric (#3011) Changed Makingnum_classesoptional forone-hotinputs inMeanIoU(...
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Corrects a few issues with the type hints for iou_type: We sometimes use str and other times use Literal["bbox", "segm"] tuple[foo] means a tuple of length 1, use ... to make it a variadic tuple Note that there are several other examples of the latter issue in the codebase, I...
Renamed IoU -> Jaccard Index (#662) Renamed text WER metric: (#714) functional.wer -> functional.word_error_rate WER -> WordErrorRate Renamed correlation coefficient classes: (#710) MatthewsCorrcoef -> MatthewsCorrCoef PearsonCorrcoef -> PearsonCorrCoef SpearmanCorrcoef -> SpearmanCorrCoef Renam...
Then I think that you could use your already available internals F and IOU utils to quickly impl the metrics. Member Author Borda commented Apr 18, 2023 I am not familiar with the internals/standard of the library but at least I've posted in the ticket a gist to reproduce the mask to...
if len(gt_label_mask) == 0 or len(det_label_mask) == 0: # return None nb_iou_thrs = len(self.iou_thresholds) nb_gt = len(gt) nb_det = len(det) return { "dtMatches": torch.zeros((nb_iou_thrs, nb_det), dtype=torch.bool, device=self.device), "gtMatches": torch.zeros(...
MeanIoU class DSC class (Dice Similarity Coefficient) F1Score class RSquared class Hinge class SquaredHinge class LogCoshError class Accuracy class KLDivergence class CosineSimilarity class AUC class BinaryCrossEntropy class CategoricalCrossEntropy class ...
detection.iou import intersection_over_union # noqa: F401 from torchmetrics.functional.detection.giou import generalized_intersection_over_union from torchmetrics.functional.detection.iou import intersection_over_union __all__.append("generalized_intersection_over_union") __all__.append("intersection_...