A PyTorch Implementation of Extremely Tiny Face Detector via Iterative Filter Reuse
YoungJoon Yoo, Dongyoon Han, Sangdoo Yun
https://arxiv.org/abs/1906.06579
- pytorch 1.0 (checked at 1.0)
- opencv
- numpy
- easydict
- Python3
WIDER face dataset is used. see the S3FD.pytorch git for more detail.
You can use
python train.py
Refer the train.py files to check the arguement. Our setting was
"--batch_size 16 --lr 0.001"
You should complie the bounding box function. Type
python3 bbox_setup.py build_ext --inplace
Then run
python3 wider_test.py
you can test your image from
python3 demo.py
@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}
}
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