void ocvColorQuantizeApp::setup() { // Image copyright Eric J Paparatto // http://www.flickr.com/photos/ejpphoto/2633923684/ mInputImage = ci::Surface8u( loadImage( loadResource( RES_IMAGE ) ) ); setWindowSize( mInputImage.getWidth(), mInputImage.getHeight() ); updateImage(); }
//-------------------------------------------------------------- void testApp::setup(){ ofEnableAlphaBlending(); //load image file string path = ofToDataPath("logo.png"); of_image.loadImage( path ); ci_surface = ci::loadImage( path ); //convert images ci_texture = ci::gl::Texture( ofxCi::toCi(of_image), GL_RGBA, of_image.getWidth(), of_image.getHeight() ); of_image.setFromPixels(ofxCi::toOf(ci_surface), ci_surface.getWidth(), ci_surface.getHeight(), OF_IMAGE_COLOR_ALPHA); }
//----------------------------------------------------------------------------- bool HaarHandDetector::doUpdateDetection(ci::Surface pSurface) { //Set a Scale for the image to increase the processing time int lScale = 2; //Create a GrayScale copy of the input image cv::Mat lGrayScaleImage(toOcv(pSurface, CV_8UC1)); //Scale the GrayScaleImage cv::Mat lSmallGrayScaleImage(pSurface.getHeight() / lScale, pSurface.getWidth() / lScale, CV_8UC1); cv::resize(lGrayScaleImage, lSmallGrayScaleImage, lSmallGrayScaleImage.size(), 0,0,cv::INTER_LINEAR); //Equalize the Histogram to improve Edges Detection cv::equalizeHist(lSmallGrayScaleImage, lSmallGrayScaleImage); //Clear out the previous Detected Closed Hands mClosedHands.clear(); //Start the Detection std::vector<cv::Rect> lCVRectangles; int lCount = 0; mClosedHandCascade.detectMultiScale(lSmallGrayScaleImage, lCVRectangles, 1.2f, 2, CV_HAAR_FIND_BIGGEST_OBJECT, cv::Size(24,24)); for (std::vector<cv::Rect>::iterator lIter = lCVRectangles.begin(); lIter != lCVRectangles.end(); lIter++) { ci::Rectf lClosedHand(ci::fromOcv(*lIter)); lClosedHand *= lScale; mClosedHands.push_back(lClosedHand); lCount++; } //Return detection success flag if (lCount > 0) { return true; } else { return false; } }
void ocvColorQuantizeApp::updateImage() { const int colorCount = 32; const int sampleCount = mInputImage.getHeight() * mInputImage.getWidth(); cv::Mat colorSamples( sampleCount, 1, CV_32FC3 ); // build our matrix of samples Surface::ConstIter imageIt = mInputImage.getIter(); cv::MatIterator_<cv::Vec3f> sampleIt = colorSamples.begin<cv::Vec3f>(); while( imageIt.line() ) while( imageIt.pixel() ) *sampleIt++ = cv::Vec3f( imageIt.r(), imageIt.g(), imageIt.b() ); // call kmeans cv::Mat labels, clusters; cv::kmeans( colorSamples, colorCount, labels, cv::TermCriteria( cv::TermCriteria::COUNT, 8, 0 ), 2, cv::KMEANS_RANDOM_CENTERS, &clusters ); Color8u clusterColors[colorCount]; for( int i = 0; i < colorCount; ++i ) clusterColors[i] = Color8u( clusters.at<cv::Vec3f>(i,0)[0], clusters.at<cv::Vec3f>(i,0)[1], clusters.at<cv::Vec3f>(i,0)[2] ); Surface result( mInputImage.getWidth(), mInputImage.getHeight(), false ); Surface::Iter resultIt = result.getIter(); cv::MatIterator_<int> labelIt = labels.begin<int>(); while( resultIt.line() ) { while( resultIt.pixel() ) { resultIt.r() = clusterColors[*labelIt].r; resultIt.g() = clusterColors[*labelIt].g; resultIt.b() = clusterColors[*labelIt].b; ++labelIt; } } // draw the color palette across the bottom of the image const int swatchSize = 12; for( int i = 0; i < colorCount; ++i ) { ip::fill( &result, clusterColors[i], Area( i * swatchSize, result.getHeight() - swatchSize, ( i + 1 ) * swatchSize, result.getHeight() ) ); } mTexture = gl::Texture( result ); }
void ocvWarpApp::setup() { mInputImage = ci::Surface8u( loadImage( loadAsset( "aus.jpg" ) ) ); mRotationCenter = vec2( mInputImage.getSize() ) * 0.5f; mRotationAngle = 31.2f; mScale = 0.77f; mParams = params::InterfaceGl( "Parameters", ivec2( 200, 400 ) ); mParams.addParam( "Rotation Center X", &mRotationCenter.x ); mParams.addParam( "Rotation Center Y", &mRotationCenter.y ); mParams.addParam( "Rotation Angle", &mRotationAngle ); mParams.addParam( "Scale", &mScale, "step=0.01" ); updateImage(); }
void ocvWarpApp::setup() { mInputImage = ci::Surface8u( loadImage( loadResource( RES_IMAGE ) ) ); mRotationCenter = mInputImage.getSize() * 0.5f; mRotationAngle = 31.2f; mScale = 0.77f; mParams = params::InterfaceGl( "Parameters", Vec2i( 200, 400 ) ); mParams.addParam( "Rotation Center X", &mRotationCenter.x ); mParams.addParam( "Rotation Center Y", &mRotationCenter.y ); mParams.addParam( "Rotation Angle", &mRotationAngle ); mParams.addParam( "Scale", &mScale, "step=0.1" ); updateImage(); }