/Semi-supervised-Crowd-Counting-via-Density-Agency

Official Implement of ACM MM 2022 paper 'Semi supervised Crowd Counting via Density Agency'

Primary LanguagePython

Semi-supervised-Crowd-Counting-via-Density-Agency

Official Implement of ACM Multimedia 2022 paper 'Semi-supervised Crowd Counting via Density Agency'

arxiv

image

Dataset Preparation

  1. Dowload Dataset.
  2. The Preprocess Code can be referred to MAN.

Train

  1. Change the path to where your data and models are located in 'train.py'.
  2. Run 'train.py'
  3. Wait patiently and happily for the program to finish.
  4. Then you will get a good counting model!

Test

  1. Change the path to where your data and models are located in 'test.py'.
  2. Run 'test.py'.

Citation

If you use this code for your research, please cite our paper:

@inproceedings{lin2022semi,
  title={Semi-supervised Crowd Counting via Density Agency},
  author={Lin, Hui and Ma, Zhiheng and Hong, Xiaopeng and Wang, Yaowei and Su, Zhou},
  booktitle={ACM Multimedia},
  year={2022}
}