git clone https://github.com/microsoft/hnms.git
python setup.py install
The code has been tested with ubuntu16.4, python 3.6, cuda 10.1, pytorch 1.4 (1.5 as well).
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)
@article{DBLP:journals/corr/abs-2005-11426,
author = {Jianfeng Wang and
Xi Yin and
Lijuan Wang and
Lei Zhang},
title = {Hashing-based Non-Maximum Suppression for Crowded Object Detection},
journal = {CoRR},
volume = {abs/2005.11426},
year = {2020},
url = {https://arxiv.org/abs/2005.11426},
archivePrefix = {arXiv},
eprint = {2005.11426},
}
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