Some doubt about the hnms output

[ys0823]

Thank's for your work, I try hnms in my object detection predictions.
`import torch
from hnms import MultiHNMS
hnms = MultiHNMS(num=1, alpha=0.7)

center x, center y, width, height

xywh = [[10, 20, 10, 20], [10, 20, 10, 20], [30, 6, 4, 5]]
conf = [0.9, 0.8, 0.9]
xywh = torch.tensor(xywh).float()
conf = torch.tensor(conf)
keep = hnms(xywh, conf)
print(keep)`

why the output keep is one tensor number, I think it should be some indexes of keeped boxes.