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CitrusRokid
126 Stars 95 Forks 11 Commits 4 Opened issues

Description

C++ detect and train of "A Fast and Accurate Unconstrained Face Detector".

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# 445,940
C++
binary
MATLAB
Shell
1 commit

OpenNPD

Project of object detection.

Usage:

  1. Add needed librarys to 3rdpart folder(opencv).

  2. Make:

    cd src; make clean; make RELEASE=1; cd ..
    ;
  3. Detect example:

    sh ./script/test_detect_demo.sh
  4. Training example: Please refer to

    ./script/npd_train_demo.sh

Note:

  1. Thereis a
    npddetect::prescandetect
    function for faster detection with some lose on recall. Additional parameter
    stepR
    refers to pre-scan step size compared to the original scan step size ( float more than 1 ) . The
    thresR
    refers to the threshold to reject the window( float in [0-1] ).

Result:

  • ROC:

图片1.png-123.8kB

  • Speed:

| image size | window size | cores | time (ms) | | :---: | :---: | :---: | :---: | :---: | | 640x480 | 20x20 | 1 | ~50 |

  • ROC for
    npddetect::prescandetect
    :

图片2.png-109.5kB

  • Speed for
    npddetect::prescandetect
    :

| params | image size | window size | time(ms) | | :---: | :---: | :---: | :---: | | none | 1920x1080 | 20x20 | 532.400239 | | stepR = 2, thresR = 0.2 | 1920x1080 | 20x20 | 344.154205 |
| stepR = 2, thresR = 0.3 | 1920x1080 | 20x20 | 282.128798 |
| stepR = 3, thresR = 0.2 | 1920x1080 | 20x20 | 286.230415 |
| stepR = 3, thresR = 0.3 | 1920x1080 | 20x20 | 226.091203 |
| stepR = 4, thresR = 0.3 | 1920x1080 | 20x20 | 202.147923 |

License and Citation

This software is free for noncommercial use. This software is provided "as is", without any warranty of upgradation or customized development. It is your own risk of using this software. The authors are not responsible for any damage caused by using this software.

References:

This software is based on the MATLAB edition. Thanks for the work of Liao et al. Project page.

@article{

 Author = {Shengcai Liao, Member, IEEE, Anil K. Jain, Fellow, IEEE, and Stan Z. Li, Fellow, IEEE},

Title = {A Fast and Accurate Unconstrained Face Detector},

Year = {2014}

}

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