batched_nms

torchvision.ops.batched_nms(boxes: torch.Tensor, scores: torch.Tensor, idxs: torch.Tensor, iou_threshold: float) → torch.Tensor

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 with 0 <= x1 < x2 and 0 <= 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