Project of object detection.
Add needed librarys to 3rdpart folder(opencv).
Make: cd src; make clean; make RELEASE=1; cd ..
;
Detect example: sh ./script/test_detect_demo.sh
Training example: Please refer to ./script/npd_train_demo.sh
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] ).ROC:
Speed:
| image size | window size | cores | time (ms) | | :---: | :---: | :---: | :---: | :---: | | 640x480 | 20x20 | 1 | ~50 |
npddetect::prescandetect
: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.
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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