中文版.

Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU. This is an implementation for PCN.

This is a pytorch implementation version of the original repo

A separate Python environment is recommended.

• Python3.5+ (Python3.5, Python3.6 are tested)
• Pytorch == 1.0
• opencv4 (opencv3.4.5 is tested also)
• numpy

install dependences using pip

pip3 install numpy opencv-python
pip3 install https://download.pytorch.org/whl/cpu/torch-1.0.1.post2-cp36-cp36m-linux_x86_64.whl
pip3 install torchvision (optional)

or install using conda

conda install opencv numpy
conda install pytorch-cpu torchvision-cpu -c pytorch

cd pytorch-PCN
python demo.py path/to/image 

or use webcam demo

python webcam.py

cd pytorch-PCN && pip install .

More results can be found in result directory, or you can run the script to generate them.

There is still one image failed. Pull requests to fix it is welcome.

This code is distributed under the BSD 2-Clause license.

@inproceedings{shiCVPR18pcn,
    Author = {Xuepeng Shi and Shiguang Shan and Meina Kan and Shuzhe Wu and Xilin Chen},
    Title = {Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks},
    Booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    Year = {2018}
}

For anyone who hear, see, think about or use this repo, I hope them gain temporary happiness and everlasting happiness