remove some more useless buffers and rename a bunch of variables
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61fe623cf1
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@ -60,10 +60,10 @@ namespace cv
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protected:
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protected:
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void init_var(const cv::Mat &I, const cv::Mat &wmask);
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void init_var(const cv::Mat &destination, const cv::Mat &binaryMask);
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void compute_derivatives(const cv::Mat &destination, const cv::Mat &patch, const cv::Mat &binaryMask);
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void compute_derivatives(const cv::Mat &destination, const cv::Mat &patch, const cv::Mat &binaryMask);
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void scalar_product(cv::Mat mat, float r, float g, float b);
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void scalar_product(cv::Mat mat, float r, float g, float b);
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void poisson(const cv::Mat &destination, const cv::Mat &gx, const cv::Mat &gy, const cv::Mat &sx, const cv::Mat &sy);
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void poisson(const cv::Mat &destination);
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void evaluate(const cv::Mat &I, const cv::Mat &wmask, const cv::Mat &cloned);
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void evaluate(const cv::Mat &I, const cv::Mat &wmask, const cv::Mat &cloned);
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void dst(double *mod_diff, double *sineTransform,int h,int w);
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void dst(double *mod_diff, double *sineTransform,int h,int w);
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void idst(double *mod_diff, double *sineTransform,int h,int w);
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void idst(double *mod_diff, double *sineTransform,int h,int w);
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@ -79,7 +79,7 @@ namespace cv
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void computeLaplacianY(const cv::Mat &img, cv::Mat &gyy);
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void computeLaplacianY(const cv::Mat &img, cv::Mat &gyy);
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private:
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private:
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std::vector <cv::Mat> rgb_channel, rgbx_channel, rgby_channel, output;
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std::vector <cv::Mat> rgbx_channel, rgby_channel, output;
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cv::Mat destinationGradientX, destinationGradientY;
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cv::Mat destinationGradientX, destinationGradientY;
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cv::Mat patchGradientX, patchGradientY;
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cv::Mat patchGradientX, patchGradientY;
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cv::Mat binaryMaskFloat, binaryMaskFloatInverted;
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cv::Mat binaryMaskFloat, binaryMaskFloatInverted;
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@ -65,20 +65,20 @@ void Cloning::computeGradientY( const Mat &img, Mat &gy)
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filter2D(img, gy, CV_32F, kernel);
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filter2D(img, gy, CV_32F, kernel);
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}
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}
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void Cloning::computeLaplacianX( const Mat &img, Mat &gxx)
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void Cloning::computeLaplacianX( const Mat &img, Mat &laplacianX)
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{
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{
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Mat kernel = Mat::zeros(1, 3, CV_8S);
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Mat kernel = Mat::zeros(1, 3, CV_8S);
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kernel.at<char>(0,0) = -1;
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kernel.at<char>(0,0) = -1;
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kernel.at<char>(0,1) = 1;
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kernel.at<char>(0,1) = 1;
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filter2D(img, gxx, CV_32F, kernel);
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filter2D(img, laplacianX, CV_32F, kernel);
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}
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}
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void Cloning::computeLaplacianY( const Mat &img, Mat &gyy)
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void Cloning::computeLaplacianY( const Mat &img, Mat &laplacianY)
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{
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{
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Mat kernel = Mat::zeros(3, 1, CV_8S);
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Mat kernel = Mat::zeros(3, 1, CV_8S);
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kernel.at<char>(0,0) = -1;
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kernel.at<char>(0,0) = -1;
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kernel.at<char>(1,0) = 1;
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kernel.at<char>(1,0) = 1;
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filter2D(img, gyy, CV_32F, kernel);
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filter2D(img, laplacianY, CV_32F, kernel);
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}
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}
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void Cloning::dst(double *mod_diff, double *sineTransform,int h,int w)
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void Cloning::dst(double *mod_diff, double *sineTransform,int h,int w)
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@ -270,17 +270,17 @@ void Cloning::solve(const Mat &img, double *mod_diff, Mat &result)
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delete [] img_d;
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delete [] img_d;
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}
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}
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void Cloning::poisson_solver(const Mat &img, Mat &gxx , Mat &gyy, Mat &result)
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void Cloning::poisson_solver(const Mat &img, Mat &laplacianX , Mat &laplacianY, Mat &result)
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{
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{
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int w = img.size().width;
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const int w = img.size().width;
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int h = img.size().height;
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const int h = img.size().height;
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unsigned long int idx;
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unsigned long int idx;
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Mat lap = Mat(img.size(),CV_32FC1);
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Mat lap = Mat(img.size(),CV_32FC1);
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lap = gxx + gyy;
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lap = laplacianX + laplacianY;
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Mat bound = img.clone();
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Mat bound = img.clone();
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@ -324,17 +324,15 @@ void Cloning::poisson_solver(const Mat &img, Mat &gxx , Mat &gyy, Mat &result)
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delete [] boundary_point;
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delete [] boundary_point;
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}
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}
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void Cloning::init_var(const Mat &I, const Mat &wmask)
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void Cloning::init_var(const Mat &destination, const Mat &binaryMask)
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{
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{
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destinationGradientX = Mat(I.size(),CV_32FC3);
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destinationGradientX = Mat(destination.size(),CV_32FC3);
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destinationGradientY = Mat(I.size(),CV_32FC3);
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destinationGradientY = Mat(destination.size(),CV_32FC3);
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patchGradientX = Mat(I.size(),CV_32FC3);
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patchGradientX = Mat(destination.size(),CV_32FC3);
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patchGradientY = Mat(I.size(),CV_32FC3);
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patchGradientY = Mat(destination.size(),CV_32FC3);
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split(I,rgb_channel);
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binaryMaskFloat = Mat(binaryMask.size(),CV_32FC1);
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binaryMaskFloatInverted = Mat(binaryMask.size(),CV_32FC1);
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binaryMaskFloat = Mat(wmask.size(),CV_32FC1);
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binaryMaskFloatInverted = Mat(wmask.size(),CV_32FC1);
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}
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}
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void Cloning::compute_derivatives(const Mat& destination, const Mat &patch, const Mat &binaryMask)
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void Cloning::compute_derivatives(const Mat& destination, const Mat &patch, const Mat &binaryMask)
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@ -378,28 +376,26 @@ void Cloning::array_product(const cv::Mat& lhs, const cv::Mat& rhs, cv::Mat& res
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merge(result_channels,result);
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merge(result_channels,result);
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}
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}
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void Cloning::poisson(const Mat &destination, const Mat &gx, const Mat &gy, const Mat &sx, const Mat &sy)
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void Cloning::poisson(const Mat &destination)
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{
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{
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Mat fx = Mat(destination.size(),CV_32FC3);
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Mat laplacianX = Mat(destination.size(),CV_32FC3);
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Mat fy = Mat(destination.size(),CV_32FC3);
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Mat laplacianY = Mat(destination.size(),CV_32FC3);
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fx = gx + sx;
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laplacianX = destinationGradientX + patchGradientX;
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fy = gy + sy;
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laplacianY = destinationGradientY + patchGradientY;
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Mat gxx = Mat(destination.size(),CV_32FC3);
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computeLaplacianX(laplacianX,laplacianX);
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Mat gyy = Mat(destination.size(),CV_32FC3);
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computeLaplacianY(laplacianY,laplacianY);
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computeLaplacianX(fx,gxx);
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split(laplacianX,rgbx_channel);
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computeLaplacianY(fy,gyy);
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split(laplacianY,rgby_channel);
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split(gxx,rgbx_channel);
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split(gyy,rgby_channel);
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split(destination,output);
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split(destination,output);
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poisson_solver(rgb_channel[2],rgbx_channel[2], rgby_channel[2],output[2]);
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for(int chan = 0 ; chan < 3 ; ++chan)
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poisson_solver(rgb_channel[1],rgbx_channel[1], rgby_channel[1],output[1]);
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{
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poisson_solver(rgb_channel[0],rgbx_channel[0], rgby_channel[0],output[0]);
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poisson_solver(output[chan], rgbx_channel[chan], rgby_channel[chan], output[chan]);
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}
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}
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}
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void Cloning::evaluate(const Mat &I, const Mat &wmask, const Mat &cloned)
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void Cloning::evaluate(const Mat &I, const Mat &wmask, const Mat &cloned)
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@ -411,7 +407,7 @@ void Cloning::evaluate(const Mat &I, const Mat &wmask, const Mat &cloned)
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array_product(destinationGradientX,binaryMaskFloatInverted, destinationGradientX);
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array_product(destinationGradientX,binaryMaskFloatInverted, destinationGradientX);
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array_product(destinationGradientY,binaryMaskFloatInverted, destinationGradientY);
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array_product(destinationGradientY,binaryMaskFloatInverted, destinationGradientY);
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poisson(I,destinationGradientX,destinationGradientY,patchGradientX,patchGradientY);
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poisson(I);
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merge(output,cloned);
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merge(output,cloned);
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}
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}
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