updated code formating of reina samples

modules/bioinspired/samples/OpenEXRimages_HDR_Retina_toneMapping.cpp

@@ -51,8 +51,8 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
 /*
  * objective : get the gray level map of the input image and rescale it to the range [0-255]
  */
- static void rescaleGrayLevelMat(const cv::Mat &inputMat, cv::Mat &outputMat, const float histogramClippingLimit)
- {
+static void rescaleGrayLevelMat(const cv::Mat &inputMat, cv::Mat &outputMat, const float histogramClippingLimit)
+{
 
 	// adjust output matrix wrt the input size but single channel
 	std::cout<<"Input image rescaling with histogram edges cutting (in order to eliminate bad pixels created during the HDR image creation) :"<<std::endl;
@@ -116,33 +116,34 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
 	cv::threshold( outputMat, outputMat, 255.0, 255.0, 2 ); //THRESH_TRUNC, clips values above 255
 	cv::threshold( outputMat, outputMat, 0.0, 0.0, 3 ); //THRESH_TOZERO, clips values under 0
 
- }
- // basic callback method for interface management
- cv::Mat inputImage;
- cv::Mat imageInputRescaled;
- int histogramClippingValue;
- static void callBack_rescaleGrayLevelMat(int, void*)
- {
+}
+// basic callback method for interface management
+cv::Mat inputImage;
+cv::Mat imageInputRescaled;
+int histogramClippingValue;
+static void callBack_rescaleGrayLevelMat(int, void*)
+{
 	std::cout<<"Histogram clipping value changed, current value = "<<histogramClippingValue<<std::endl;
 	rescaleGrayLevelMat(inputImage, imageInputRescaled, (float)(histogramClippingValue/100.0));
 	normalize(imageInputRescaled, imageInputRescaled, 0.0, 255.0, cv::NORM_MINMAX);
- }
+}
 
- cv::Ptr<cv::bioinspired::Retina> retina;
- int retinaHcellsGain;
- int localAdaptation_photoreceptors, localAdaptation_Gcells;
- static void callBack_updateRetinaParams(int, void*)
- {
+cv::Ptr<cv::bioinspired::Retina> retina;
+int retinaHcellsGain;
+int localAdaptation_photoreceptors, localAdaptation_Gcells;
+static void callBack_updateRetinaParams(int, void*)
+{
 	retina->setupOPLandIPLParvoChannel(true, true, (float)(localAdaptation_photoreceptors/200.0), 0.5f, 0.43f, (float)retinaHcellsGain, 1.f, 7.f, (float)(localAdaptation_Gcells/200.0));
- }
+}
 
- int colorSaturationFactor;
- static void callback_saturateColors(int, void*)
- {
+int colorSaturationFactor;
+static void callback_saturateColors(int, void*)
+{
 	retina->setColorSaturation(true, (float)colorSaturationFactor);
- }
+}
 
- int main(int argc, char* argv[]) {
+int main(int argc, char* argv[])
+{
 	// welcome message
 	std::cout<<"*********************************************************************************"<<std::endl;
 	std::cout<<"* Retina demonstration for High Dynamic Range compression (tone-mapping) : demonstrates the use of a wrapper class of the Gipsa/Listic Labs retina model."<<std::endl;
@@ -289,7 +290,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
              fastToneMapper->setup(3.f, 1.5f, 1.f);
              fastToneMapper->applyFastToneMapping(imageInputRescaled, fastToneMappingOutput_specificObject);
              cv::imshow("### Retina fast tone mapping output : 16bit=>8bit image retina tonemapping", fastToneMappingOutput_specificObject);
-*/
+			 */
 			cv::waitKey(10);
 		}
 	}catch(cv::Exception e)
@@ -301,4 +302,4 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
 	std::cout<<"Retina demo end"<<std::endl;
 
 	return 0;
- }
+}

modules/bioinspired/samples/retinaDemo.cpp

@@ -32,7 +32,8 @@ static void help(std::string errorMessage)
 	std::cout<<"\nPlease start again with new parameters"<<std::endl;
 }
 
-int main(int argc, char* argv[]) {
+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;