EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
A PyTorch Implementation of Extremely Tiny Face Detector via Iterative Filter Reuse
YoungJoon Yoo, Dongyoon Han, Sangdoo Yun
https://arxiv.org/abs/1906.06579
Requirement
- pytorch 1.0 (checked at 1.0)
- opencv
- numpy
- easydict
- Python3
Prepare data
WIDER face dataset is used. see the S3FD.pytorch git for more detail.
Train
You can use
python train.py
Refer the train.py files to check the arguement. Our setting was
"--batch_size 16 --lr 0.001"
Evaluation on WIDER Dataset
You should complie the bounding box function. Type
python3 bbox_setup.py build_ext --inplace
Then run
python3 wider_test.py
Demo
you can test your image from
python3 demo.py
References
Citation
@article{yoo2019extd,
title={EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse},
author={Yoo, YoungJoon and Han, Dongyoon and Yun, Sangdoo},
journal={arXiv preprint arXiv:1906.06579},
year={2019}
}
License
Copyright (c) 2019-present NAVER Corp.
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