opencv/samples/cpp/retinaDemo.cpp

//============================================================================
// Name        : retinademo.cpp
// Author      : Alexandre Benoit, benoit.alexandre.vision@gmail.com
// Version     : 0.1
// Copyright   : LISTIC/GIPSA French Labs, july 2011
// Description : Gipsa/LISTIC Labs retina demo in C++, Ansi-style
//============================================================================

#include <iostream>
#include <cstring>

#include "opencv2/opencv.hpp"

void help(std::string errorMessage)
{
	std::cout<<"Program init error : "<<errorMessage<<std::endl;
	std::cout<<"\nProgram call procedure : retinaDemo [processing mode] [Optional : media target] [Optional LAST parameter: \"log\" to activate retina log sampling]"<<std::endl;
	std::cout<<"\t[processing mode] :"<<std::endl;
	std::cout<<"\t -image : for still image processing"<<std::endl;
	std::cout<<"\t -video : for video stream processing"<<std::endl;
	std::cout<<"\t[Optional : media target] :"<<std::endl;
	std::cout<<"\t if processing an image or video file, then, specify the path and filename of the target to process"<<std::endl;
	std::cout<<"\t leave empty if processing video stream coming from a connected video device"<<std::endl;
	std::cout<<"\t[Optional : activate retina log sampling] : an optional last parameter can be specified for retina spatial log sampling"<<std::endl;
	std::cout<<"\t set \"log\" without quotes to activate this sampling, output frame size will be divided by 4"<<std::endl;
	std::cout<<"\nExamples:"<<std::endl;
	std::cout<<"\t-Image processing : ./retinaDemo -image lena.jpg"<<std::endl;
	std::cout<<"\t-Image processing with log sampling : ./retinaDemo -image lena.jpg log"<<std::endl;
	std::cout<<"\t-Video processing : ./retinaDemo -video myMovie.mp4"<<std::endl;
	std::cout<<"\t-Live video processing : ./retinaDemo -video"<<std::endl;
	std::cout<<"\nPlease start again with new parameters"<<std::endl;
}

int main(int argc, char* argv[]) {
	// welcome message
	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 still images, video 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;

	// basic input arguments checking
	if (argc<2)
	{
		help("bad number of parameter");
		return -1;
	}

	bool useLogSampling = !strcmp(argv[argc-1], "log"); // check if user wants retina log sampling processing

	std::string inputMediaType=argv[1];

	// declare the retina input buffer... that will be fed differently in regard of the input media
	cv::Mat inputFrame;
	cv::VideoCapture videoCapture; // in case a video media is used, its manager is declared here

	//////////////////////////////////////////////////////////////////////////////
	// checking input media type (still image, video file, live video acquisition)
	if (!strcmp(inputMediaType.c_str(), "-image") && argc >= 3)
	{
		std::cout<<"RetinaDemo: processing image "<<argv[2]<<std::endl;
		// image processing case
		inputFrame = cv::imread(std::string(argv[2]), 1); // load image in RGB mode
	}else
		if (!strcmp(inputMediaType.c_str(), "-video"))
		{
			if (argc == 2 || (argc == 3 && useLogSampling)) // attempt to grab images from a video capture device
			{
				videoCapture.open(0);
			}else// attempt to grab images from a video filestream
			{
				std::cout<<"RetinaDemo: processing video stream "<<argv[2]<<std::endl;
				videoCapture.open(argv[2]);
			}

			// grab a first frame to check if everything is ok
			videoCapture>>inputFrame;
		}else
		{
			// bad command parameter
			help("bad command parameter");
			return -1;
		}

	if (inputFrame.empty())
	{
		help("Input media could not be loaded, aborting");
		return -1;
	}


	//////////////////////////////////////////////////////////////////////////////
	// Program start in a try/catch safety context (Retina may throw errors)
	try
	{
		// create a retina instance with default parameters setup, uncomment the initialisation you wanna test
		cv::Ptr<cv::Retina> myRetina;

		// if the last parameter is 'log', then activate log sampling (favour foveal vision and subsamples peripheral vision)
		if (useLogSampling)
			myRetina = new cv::Retina("params.xml", inputFrame.size(), true, cv::RETINA_COLOR_BAYER, true, 2.0, 10.0);
		else// -> else allocate "classical" retina :
			myRetina = new cv::Retina("params.xml", inputFrame.size());

		myRetina->clearBuffers();
		// declare retina output buffers
		cv::Mat retinaOutput_parvo;
		cv::Mat retinaOutput_magno;

		// processing loop with stop condition
		bool continueProcessing=true; // FIXME : not yet managed during process...
		while(continueProcessing)
		{
			// if using video stream, then, grabbing a new frame, else, input remains the same
			if (videoCapture.isOpened())
				videoCapture>>inputFrame;

			// 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(10);
		}
	}catch(cv::Exception e)
	{
		std::cerr<<"Error using Retina : "<<e.what()<<std::endl;
	}

	// Program end message
	std::cout<<"Retina demo end"<<std::endl;

	return 0;
}