generalized_box_iou: Generalized Box IoU
In torchvision: Models, Datasets and Transformations for Images
generalized_box_iou R Documentation
Generalized Box IoU
Description
Return generalized intersection-over-union (Jaccard index) of boxes.
Both sets of boxes are expected to be in (x_{min}, y_{min}, x_{max}, y_{max}) format with
0 \leq x_{min} < x_{max} and 0 \leq y_{min} < y_{max}.
Usage
generalized_box_iou(boxes1, boxes2)
Arguments
boxes1
(Tensor[N, 4])
boxes2
(Tensor[M, 4])
Details
Implementation adapted from https://github.com/facebookresearch/detr/blob/master/util/box_ops.py
Value
generalized_iou (Tensor[N, M]): the NxM matrix containing the pairwise generalized_IoU values
for every element in boxes1 and boxes2
torchvision documentation built on Aug. 8, 2025, 7:27 p.m.
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| generalized_box_iou | R Documentation |
Generalized Box IoU
Description
Return generalized intersection-over-union (Jaccard index) of boxes.
Both sets of boxes are expected to be in (x_{min}, y_{min}, x_{max}, y_{max}) format with
0 \leq x_{min} < x_{max} and 0 \leq y_{min} < y_{max}.
Usage
generalized_box_iou(boxes1, boxes2)
Arguments
boxes1 |
(Tensor[N, 4]) |
boxes2 |
(Tensor[M, 4]) |
Details
Implementation adapted from https://github.com/facebookresearch/detr/blob/master/util/box_ops.py
Value
generalized_iou (Tensor[N, M]): the NxM matrix containing the pairwise generalized_IoU values for every element in boxes1 and boxes2
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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