You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
91 lines
4.3 KiB
91 lines
4.3 KiB
//============================================================================ |
|
// Name : retinademo.cpp |
|
// Author : Alexandre Benoit, benoit.alexandre.vision@gmail.com |
|
// Version : 0.1 |
|
// Copyright : LISTIC/GIPSA French Labs, May 2015 |
|
// Description : Gipsa/LISTIC Labs quick retina demo in C++, Ansi-style |
|
//============================================================================ |
|
|
|
// include bioinspired module and OpenCV core utilities |
|
#include "opencv2/bioinspired.hpp" |
|
#include "opencv2/imgcodecs.hpp" |
|
#include "opencv2/videoio.hpp" |
|
#include "opencv2/highgui.hpp" |
|
#include <iostream> |
|
#include <cstring> |
|
|
|
// main function |
|
int main(int argc, char* argv[]) { |
|
|
|
// basic input arguments checking |
|
if (argc>1) |
|
{ |
|
std::cout<<"****************************************************"<<std::endl; |
|
std::cout<<"* Retina demonstration : demonstrates the use of is a wrapper class of the Gipsa/Listic Labs retina model."<<std::endl; |
|
std::cout<<"* This retina model allows spatio-temporal image processing (applied on a webcam sequences)."<<std::endl; |
|
std::cout<<"* As a summary, these are the retina model properties:"<<std::endl; |
|
std::cout<<"* => It applies a spectral whithening (mid-frequency details enhancement)"<<std::endl; |
|
std::cout<<"* => high frequency spatio-temporal noise reduction"<<std::endl; |
|
std::cout<<"* => low frequency luminance to be reduced (luminance range compression)"<<std::endl; |
|
std::cout<<"* => local logarithmic luminance compression allows details to be enhanced in low light conditions\n"<<std::endl; |
|
std::cout<<"* for more information, reer to the following papers :"<<std::endl; |
|
std::cout<<"* Benoit A., Caplier A., Durette B., Herault, J., \"USING HUMAN VISUAL SYSTEM MODELING FOR BIO-INSPIRED LOW LEVEL IMAGE PROCESSING\", Elsevier, Computer Vision and Image Understanding 114 (2010), pp. 758-773, DOI: http://dx.doi.org/10.1016/j.cviu.2010.01.011"<<std::endl; |
|
std::cout<<"* Vision: Images, Signals and Neural Networks: Models of Neural Processing in Visual Perception (Progress in Neural Processing),By: Jeanny Herault, ISBN: 9814273686. WAPI (Tower ID): 113266891."<<std::endl; |
|
std::cout<<"* => reports comments/remarks at benoit.alexandre.vision@gmail.com"<<std::endl; |
|
std::cout<<"* => more informations and papers at : http://sites.google.com/site/benoitalexandrevision/"<<std::endl; |
|
std::cout<<"****************************************************"<<std::endl; |
|
std::cout<<" NOTE : this program generates the default retina parameters file 'RetinaDefaultParameters.xml'"<<std::endl; |
|
std::cout<<" => you can use this to fine tune parameters and load them if you save to file 'RetinaSpecificParameters.xml'"<<std::endl; |
|
|
|
if (strcmp(argv[1], "help")==0){ |
|
std::cout<<"No help provided for now, please test the retina Demo for a more complete program"<<std::endl; |
|
} |
|
} |
|
|
|
std::string inputMediaType=argv[1]; |
|
// declare the retina input buffer. |
|
cv::Mat inputFrame; |
|
// setup webcam reader and grab a first frame to get its size |
|
cv::VideoCapture videoCapture(0); |
|
videoCapture>>inputFrame; |
|
|
|
// allocate a retina instance with input size equal to the one of the loaded image |
|
cv::Ptr<cv::bioinspired::Retina> myRetina = cv::bioinspired::createRetina(inputFrame.size()); |
|
|
|
/* retina parameters management methods use sample |
|
-> save current (here default) retina parameters to a xml file (you may use it only one time to get the file and modify it) |
|
*/ |
|
myRetina->write("RetinaDefaultParameters.xml"); |
|
|
|
// -> load parameters if file exists |
|
myRetina->setup("RetinaSpecificParameters.xml"); |
|
|
|
// reset all retina buffers (open your eyes) |
|
myRetina->clearBuffers(); |
|
|
|
// declare retina output buffers |
|
cv::Mat retinaOutput_parvo; |
|
cv::Mat retinaOutput_magno; |
|
|
|
//main processing loop |
|
bool stillProcess=true; |
|
while(stillProcess){ |
|
|
|
// if using video stream, then, grabbing a new frame, else, input remains the same |
|
if (videoCapture.isOpened()) |
|
videoCapture>>inputFrame; |
|
else |
|
stillProcess=false; |
|
// run retina filter |
|
myRetina->run(inputFrame); |
|
// Retrieve and display retina output |
|
myRetina->getParvo(retinaOutput_parvo); |
|
myRetina->getMagno(retinaOutput_magno); |
|
cv::imshow("retina input", inputFrame); |
|
cv::imshow("Retina Parvo", retinaOutput_parvo); |
|
cv::imshow("Retina Magno", retinaOutput_magno); |
|
|
|
cv::waitKey(5); |
|
} |
|
|
|
}
|
|
|