def nms(boxes, nms_thresh):
if len(boxes) == 0:
return boxes
det_confs = torch.zeros(len(boxes))
for i in range(len(boxes)):
det_confs[i] = 1-boxes[i][4]
_,sortIds = torch.sort(det_confs)
out_boxes = []
for i in range(len(boxes)):
box_i = boxes[sortIds[i]]
if box_i[4] > 0:
out_boxes.append(box_i)
for j in range(i+1, len(boxes)):
box_j = boxes[sortIds[j]]
if bbox_iou(box_i, box_j, x1y1x2y2=False) > nms_thresh:
#print(box_i, box_j, bbox_iou(box_i, box_j, x1y1x2y2=False))
box_j[4] = 0
return out_boxes
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