batched_nms¶
- torchvision.ops.batched_nms(boxes: Tensor, scores: Tensor, idxs: Tensor, iou_threshold: float) Tensor[source]¶
Performs non-maximum suppression in a batched fashion.
Each index value correspond to a category, and NMS will not be applied between elements of different categories.
- Parameters:
boxes (Tensor[N, 4]) – boxes where NMS will be performed. They are expected to be in
(x1, y1, x2, y2)format with0 <= x1 < x2and0 <= y1 < y2.scores (Tensor[N]) – scores for each one of the boxes
idxs (Tensor[N]) – indices of the categories for each one of the boxes.
iou_threshold (float) – discards all overlapping boxes with IoU > iou_threshold
- Returns:
int64 tensor with the indices of the elements that have been kept by NMS, sorted in decreasing order of scores
- Return type:
Tensor
