This is a toy example of A Study of Face Obfuscation in ImageNet.
Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng, and Olga Russakovsky
@article{yang2021imagenetfaces,
title={A Study of Face Obfuscation in ImageNet},
author={Yang, Kaiyu and Yau, Jacqueline and Fei-Fei, Li and Deng, Jia and Russakovsky, Olga},
journal={arXiv preprint arXiv:2103.06191},
year={2021}
}
I used MTCNN model from facenet_pytorch to detect a face and original blur code from imagenet-face-obfuscation.
[Note] Please visit each github to check the license.
- python 3.6 and upper.
- torch == 1.8.1 (for MTCNN)
- torchvision == 0.9.1 (for MTCNN)
- facenet-pytorch == 2.5.2
- matplotlib == 3.3.4
- numpy == 1.19.5
Specified in requirements.txt
pip install -r requirements.txt