Documentation
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Index ¶
- func BoxArea(boxes *torch.Tensor) *torch.Tensor
- func ClipBoxesToImage(boxes *torch.Tensor, height, width int64) *torch.Tensor
- func ClipBoxesToImage_(boxes *torch.Tensor, height, width int64) *torch.Tensor
- func FindBoxesInSizeRange(boxes *torch.Tensor, widthMin, heightMin, widthMax, heightMax int64) *torch.Tensor
- func FindLargeBoxes(boxes *torch.Tensor, widthMin, heightMin int64) *torch.Tensor
- func FindSmallBoxes(boxes *torch.Tensor, widthMax, heightMax int64) *torch.Tensor
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func BoxArea ¶
func BoxArea(boxes *torch.Tensor) *torch.Tensor
Compute the area of a set of bounding boxes. boxes are expected to be in (N, 4, ...) (xmin, ymin, xmax, ymax) format with 0 <= xmin < xmax and 0 <= ymin < ymax.
func ClipBoxesToImage ¶
func ClipBoxesToImage(boxes *torch.Tensor, height, width int64) *torch.Tensor
Clip boxes so that they lie inside an image of size size. Boxes are expected to have shape (N, 4, ...) and be in (xmin, ymin, xmax, ymax) format.
func ClipBoxesToImage_ ¶
func ClipBoxesToImage_(boxes *torch.Tensor, height, width int64) *torch.Tensor
In-place version of ClipBoxesToImage.
func FindBoxesInSizeRange ¶
func FindBoxesInSizeRange( boxes *torch.Tensor, widthMin, heightMin, widthMax, heightMax int64, ) *torch.Tensor
Find boxes within a particular inclusive minimum and maximum bound. Boxes are expected to be shaped as (N, 4, ...) in (xmin, ymin, xmax, ymax) format.
func FindLargeBoxes ¶
func FindLargeBoxes(boxes *torch.Tensor, widthMin, heightMin int64) *torch.Tensor
Find boxes that are larger than or equal to a given size. Boxes are expected to be shaped as (N, 4, ...) in (xmin, ymin, xmax, ymax) format.
func FindSmallBoxes ¶
func FindSmallBoxes(boxes *torch.Tensor, widthMax, heightMax int64) *torch.Tensor
Find boxes that are smaller than or equal to a given size. Boxes are expected to be shaped as (N, 4, ...) in (xmin, ymin, xmax, ymax) format.
Types ¶
This section is empty.
Source Files