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modules/photo/doc/cloning.rst

@@ -9,7 +9,7 @@ Image editing tasks concern either global changes (color/intensity corrections,
 Here we are interested in achieving local changes, ones that are restricted to a region manually selected (ROI), in a seamless and effortless manner.
 The extent of the changes ranges from slight distortions to complete replacement by novel content.
 
-.. ocv:function:: void seamlessClone( InputArray src, InputArray dst, InputArray mask, Point p, OutputArray result, int flags)
+.. ocv:function:: void seamlessClone( InputArray src, InputArray dst, InputArray mask, Point p, OutputArray blend, int flags)
 
     :param src: Input 8-bit 3-channel image.
 
@@ -17,7 +17,7 @@ The extent of the changes ranges from slight distortions to complete replacement
 
     :param mask: Input 8-bit 1 or 3-channel image.
 
-    :param Point: Point in dst image where object is placed.
+    :param p: Point in dst image where object is placed.
 
     :param result: Output image with the same size and type as ``dst``.
 

modules/photo/doc/decolor.rst

@@ -17,4 +17,3 @@ Transforms a color image to a grayscale image. It is a basic tool in digital pri
     :param color_boost: Output 8-bit 3-channel image.
 
 This function is to be applied on color images.
-

modules/photo/doc/npr.rst

@@ -8,7 +8,7 @@ edgePreservingFilter
 
 Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing filters are used in many different applications.
 
-.. ocv:function:: void edgePreservingFilter(InputArray src, OutputArray dst, int flags = 1, float sigma_s = 60, float sigma_r = 0.4);
+.. ocv:function:: void edgePreservingFilter(InputArray src, OutputArray dst, int flags = 1, float sigma_s = 60, float sigma_r = 0.4)
 
     :param src: Input 8-bit 3-channel image.
 
@@ -29,7 +29,7 @@ detailEnhance
 -------------
 This filter enhances the details of a particular image.
 
-.. ocv:function:: void detailEnhance(InputArray src, OutputArray dst, float sigma_s = 10, float sigma_r = 0.15);
+.. ocv:function:: void detailEnhance(InputArray src, OutputArray dst, float sigma_s = 10, float sigma_r = 0.15)
 
     :param src: Input 8-bit 3-channel image.
 
@@ -44,7 +44,7 @@ pencilSketch
 ------------
 Pencil-like non-photorealistic line drawing
 
-.. ocv:function:: void pencilSketch(InputArray src, OutputArray dst1, OutputArray dst2, float sigma_s = 60, float sigma_r = 0.07, float shade_factor = 0.02);
+.. ocv:function:: void pencilSketch(InputArray src, OutputArray dst1, OutputArray dst2, float sigma_s = 60, float sigma_r = 0.07, float shade_factor = 0.02)
 
     :param src: Input 8-bit 3-channel image.
 
@@ -63,7 +63,7 @@ stylization
 -----------
 Stylization aims to produce digital imagery with a wide variety of effects not focused on photorealism. Edge-aware filters are ideal for stylization, as they can abstract regions of low contrast while preserving, or enhancing, high-contrast features.
 
-.. ocv:function:: void stylization(InputArray src, OutputArray dst, float sigma_s = 60, float sigma_r = 0.45);
+.. ocv:function:: void stylization(InputArray src, OutputArray dst, float sigma_s = 60, float sigma_r = 0.45)
 
     :param src: Input 8-bit 3-channel image.
 
@@ -78,7 +78,7 @@ edgeEnhance
 -----------
 Able to suppress low-amplitude details and enhance edges.
 
-.. ocv:function:: void edgeEnhance(InputArray src, OutputArray dst, float sigma_s = 60, float sigma_r = 0.45);
+.. ocv:function:: void edgeEnhance(InputArray src, OutputArray dst, float sigma_s = 60, float sigma_r = 0.45)
 
     :param src: Input 8-bit 3-channel image.
 
@@ -87,4 +87,3 @@ Able to suppress low-amplitude details and enhance edges.
     :param sigma_s: Range between 0 to 200.
 
     :param sigma_r: Range between 0 to 1.
-

modules/photo/doc/photo.rst

@@ -10,3 +10,6 @@ photo. Computational Photography
     inpainting
     denoising
     hdr_imaging
+    decolor
+    cloning
+    npr

modules/photo/include/opencv2/photo.hpp

@@ -52,43 +52,43 @@
 namespace cv
 {
 
-//! the inpainting algorithm
-enum
-{
+    //! the inpainting algorithm
+    enum
+    {
         INPAINT_NS    = 0, // Navier-Stokes algorithm
         INPAINT_TELEA = 1 // A. Telea algorithm
-};
+    };
 
-enum
-{
+    enum
+    {
         NORMAL_CLONE = 1,
         MIXED_CLONE  = 2,
         MONOCHROME_TRANSFER = 3
-};
+    };
 
-enum
-{
+    enum
+    {
         RECURS_FILTER = 1,
         NORMCONV_FILTER = 2
-};
+    };
 
-//! restores the damaged image areas using one of the available intpainting algorithms
-CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask,
+    //! restores the damaged image areas using one of the available intpainting algorithms
+    CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask,
             OutputArray dst, double inpaintRadius, int flags );
 
 
-CV_EXPORTS_W void fastNlMeansDenoising( InputArray src, OutputArray dst, float h = 3,
+    CV_EXPORTS_W void fastNlMeansDenoising( InputArray src, OutputArray dst, float h = 3,
             int templateWindowSize = 7, int searchWindowSize = 21);
 
-CV_EXPORTS_W void fastNlMeansDenoisingColored( InputArray src, OutputArray dst,
+    CV_EXPORTS_W void fastNlMeansDenoisingColored( InputArray src, OutputArray dst,
             float h = 3, float hColor = 3,
             int templateWindowSize = 7, int searchWindowSize = 21);
 
-CV_EXPORTS_W void fastNlMeansDenoisingMulti( InputArrayOfArrays srcImgs, OutputArray dst,
+    CV_EXPORTS_W void fastNlMeansDenoisingMulti( InputArrayOfArrays srcImgs, OutputArray dst,
             int imgToDenoiseIndex, int temporalWindowSize,
             float h = 3, int templateWindowSize = 7, int searchWindowSize = 21);
 
-CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, OutputArray dst,
+    CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, OutputArray dst,
             int imgToDenoiseIndex, int temporalWindowSize,
             float h = 3, float hColor = 3,
             int templateWindowSize = 7, int searchWindowSize = 21);
@@ -301,34 +301,34 @@ public:
 
 CV_EXPORTS_W Ptr<MergeRobertson> createMergeRobertson();
 
-CV_EXPORTS_W void decolor( InputArray src, OutputArray grayscale, OutputArray color_boost);
+    CV_EXPORTS_W void decolor( InputArray src, OutputArray grayscale, OutputArray color_boost);
 
-CV_EXPORTS_W void seamlessClone( InputArray src, InputArray dst, InputArray mask, Point p,
-                                 OutputArray _blend, int flags);
+    CV_EXPORTS_W void seamlessClone( InputArray src, InputArray dst, InputArray mask, Point p,
+            OutputArray blend, int flags);
 
-CV_EXPORTS_W void colorChange(InputArray src, InputArray mask, OutputArray dst, float red_mul = 1.0,
+    CV_EXPORTS_W void colorChange(InputArray src, InputArray mask, OutputArray dst, float red_mul = 1.0,
             float green_mul = 1.0, float blue_mul = 1.0);
 
-CV_EXPORTS_W void illuminationChange(InputArray src, InputArray mask, OutputArray dst,
+    CV_EXPORTS_W void illuminationChange(InputArray src, InputArray mask, OutputArray dst,
             float alpha = 0.2, float beta = 0.4);
 
-CV_EXPORTS_W void textureFlattening(InputArray src, InputArray mask, OutputArray dst,
+    CV_EXPORTS_W void textureFlattening(InputArray src, InputArray mask, OutputArray dst,
             double low_threshold, double high_threshold,
             int kernel_size);
 
-CV_EXPORTS_W void edgePreservingFilter(InputArray src, OutputArray dst, int flags = 1,
+    CV_EXPORTS_W void edgePreservingFilter(InputArray src, OutputArray dst, int flags = 1,
             float sigma_s = 60, float sigma_r = 0.4);
 
-CV_EXPORTS_W void detailEnhance(InputArray src, OutputArray dst, float sigma_s = 10,
+    CV_EXPORTS_W void detailEnhance(InputArray src, OutputArray dst, float sigma_s = 10,
             float sigma_r = 0.15);
 
-CV_EXPORTS_W void pencilSketch(InputArray src, OutputArray dst, OutputArray dst1,
+    CV_EXPORTS_W void pencilSketch(InputArray src, OutputArray dst1, OutputArray dst2,
             float sigma_s = 60, float sigma_r = 0.07, float shade_factor = 0.02);
 
-CV_EXPORTS_W void stylization(InputArray src, OutputArray dst, float sigma_s = 60,
+    CV_EXPORTS_W void stylization(InputArray src, OutputArray dst, float sigma_s = 60,
             float sigma_r = 0.45);
 
-CV_EXPORTS_W void edgeEnhance(InputArray src, OutputArray dst, float sigma_s = 60,
+    CV_EXPORTS_W void edgeEnhance(InputArray src, OutputArray dst, float sigma_s = 60,
             float sigma_r = 0.45);
 
 } // cv

modules/photo/src/contrast_preserve.cpp

@@ -42,8 +42,6 @@
 
 #include "precomp.hpp"
 #include "opencv2/photo.hpp"
-#include "opencv2/imgproc.hpp"
-#include <opencv2/highgui.hpp>
 #include "math.h"
 #include <vector>
 #include <limits>
@@ -53,21 +51,21 @@
 using namespace std;
 using namespace cv;
 
-double norm(double);
+double norm_m(double);
 
-double norm(double E)
+double norm_m(double E)
 {
-    return (sqrt(pow(E,2)));
+    return sqrt(pow(E,2));
 }
 
-void cv::decolor(InputArray _src, OutputArray _dst, OutputArray _boost)
+void cv::decolor(InputArray _src, OutputArray _dst, OutputArray _color_boost)
 {
     Mat I = _src.getMat();
     _dst.create(I.size(), CV_8UC1);
     Mat dst = _dst.getMat();
 
-    _boost.create(I.size(), CV_8UC3);
-    Mat color_boost = _boost.getMat();
+    _color_boost.create(I.size(), CV_8UC3);
+    Mat color_boost = _color_boost.getMat();
 
     if(!I.data )
     {
@@ -82,7 +80,7 @@ void cv::decolor(InputArray _src, OutputArray _dst, OutputArray _boost)
 
     int maxIter = 15;
     int iterCount = 0;
-    float tol = .0001;
+    double tol = .0001;
     double E = 0;
     double pre_E = std::numeric_limits<double>::infinity();
 
@@ -113,7 +111,7 @@ void cv::decolor(InputArray _src, OutputArray _dst, OutputArray _boost)
 
     //////////////////////////////// main loop starting ////////////////////////////////////////
 
-    while(norm(E-pre_E) > tol)
+    while(norm_m(E-pre_E) > tol)
     {
         iterCount +=1;
         pre_E = E;
@@ -223,7 +221,7 @@ void cv::decolor(InputArray _src, OutputArray _dst, OutputArray _boost)
     for(int i =0;i<h1;i++)
         for(int j=0;j<w1;j++)
         {
-            l.at<uchar>(i,j) = 255.0*Gray.at<float>(i,j);
+            l.at<uchar>(i,j) = dst.at<uchar>(i,j);
         }
 
     for(int i =0;i<h1;i++)

modules/photo/src/contrast_preserve.hpp

@@ -41,7 +41,6 @@
 
 #include "precomp.hpp"
 #include "opencv2/photo.hpp"
-#include "opencv2/imgproc.hpp"
 #include "math.h"
 #include <vector>
 #include <limits>
@@ -124,12 +123,12 @@ void Decolor::init()
 vector<double> Decolor::product(vector < vector<int> > &comb, vector <double> &initRGB)
 {
     vector <double> res;
-    float dp;
+    double dp;
     for (unsigned int i=0;i<comb.size();i++)
     {
-        dp = 0.0f;
+        dp = 0.0;
         for(int j=0;j<3;j++)
-            dp += comb[i][j] * initRGB[j];
+            dp = dp + (comb[i][j] * initRGB[j]);
         res.push_back(dp);
     }
     return res;
@@ -413,14 +412,14 @@ void Decolor::wei_update_matrix(vector < vector <double> > &poly, vector <double
 
     for(unsigned int i =0;i<poly.size();i++)
         for(unsigned int j=0;j<poly[0].size();j++)
-            P.at<float>(i,j) = poly[i][j];
+            P.at<float>(i,j) = (float) poly[i][j];
 
     Mat P_trans = P.t();
     Mat B = Mat(poly.size(),poly[0].size(), CV_32FC1);
     for(unsigned int i =0;i < poly.size();i++)
     {
         for(unsigned int j=0;j<Cg.size();j++)
-            B.at<float>(i,j) = poly[i][j]*Cg[j];
+            B.at<float>(i,j) = (float) (poly[i][j] * Cg[j]);
     }
 
     A = P*P_trans;
@@ -486,14 +485,14 @@ void Decolor::grayImContruct(vector <double> &wei, Mat img, Mat &Gray)
                     for(int i = 0;i<h;i++)
                         for(int j=0;j<w;j++)
                             Gray.at<float>(i,j)=Gray.at<float>(i,j) +
-                                wei[kk]*pow(red.at<float>(i,j),r)*pow(green.at<float>(i,j),g)*
+                                (float) wei[kk]*pow(red.at<float>(i,j),r)*pow(green.at<float>(i,j),g)*
                                 pow(blue.at<float>(i,j),b);
 
                     kk=kk+1;
                 }
 
-    double minval = INT_MAX;
-    double maxval = INT_MIN;
+    float minval = INT_MAX;
+    float maxval = INT_MIN;
 
     for(int i=0;i<h;i++)
         for(int j =0;j<w;j++)

modules/photo/src/npr.cpp

@@ -41,9 +41,6 @@
 
 #include "precomp.hpp"
 #include "opencv2/photo.hpp"
-#include "opencv2/highgui.hpp"
-#include "opencv2/core.hpp"
-#include "opencv2/imgproc.hpp"
 #include <iostream>
 #include <stdlib.h>
 
@@ -139,15 +136,15 @@ void cv::detailEnhance(InputArray _src, OutputArray _dst, float sigma_s, float s
     result.convertTo(dst,CV_8UC3,255);
 }
 
-void cv::pencilSketch(InputArray _src, OutputArray _dst, OutputArray _dst1, float sigma_s, float sigma_r, float shade_factor)
+void cv::pencilSketch(InputArray _src, OutputArray _dst1, OutputArray _dst2, float sigma_s, float sigma_r, float shade_factor)
 {
     Mat I = _src.getMat();
-	_dst.create(I.size(), CV_8UC1);
-	Mat dst = _dst.getMat();
-
-	_dst1.create(I.size(), CV_8UC3);
+    _dst1.create(I.size(), CV_8UC1);
     Mat dst1 = _dst1.getMat();
 
+    _dst2.create(I.size(), CV_8UC3);
+    Mat dst2 = _dst2.getMat();
+
     Mat img = Mat(I.size(),CV_32FC3);
     I.convertTo(img,CV_32FC3,1.0/255.0);
 
@@ -158,8 +155,8 @@ void cv::pencilSketch(InputArray _src, OutputArray _dst, OutputArray _dst1, floa
 
     obj.pencil_sketch(img, sketch, color_sketch, sigma_s, sigma_r, shade_factor);
 
-	sketch.convertTo(dst,CV_8UC1,255);
-	color_sketch.convertTo(dst1,CV_8UC3,255);
+    sketch.convertTo(dst1,CV_8UC1,255);
+    color_sketch.convertTo(dst2,CV_8UC3,255);
 
 }
 
@@ -224,7 +221,7 @@ void cv::stylization(InputArray _src, OutputArray _dst, float sigma_s, float sig
     for(int i =0;i < h;i++)
         for(int j=0;j<w;j++)
         {
-			magnitude.at<float>(i,j) = 1.0 -  magnitude.at<float>(i,j);
+            magnitude.at<float>(i,j) = 1.0f -  magnitude.at<float>(i,j);
         }
 
     Mat stylized = Mat(h,w,CV_32FC3);

modules/photo/src/npr.hpp

@@ -41,12 +41,12 @@
 
 #include "precomp.hpp"
 #include "opencv2/photo.hpp"
-#include "opencv2/imgproc.hpp"
 #include <iostream>
 #include <stdlib.h>
 #include <limits>
 #include "math.h"
 
+
 using namespace std;
 using namespace cv;
 
@@ -179,7 +179,7 @@ void Domain_Filter::find_magnitude(Mat &img, Mat &mag)
     for(int i =0;i < h;i++)
         for(int j=0;j<w;j++)
         {
-            mag.at<float>(i,j) = 1.0 -  mag.at<float>(i,j);
+            mag.at<float>(i,j) = 1.0f -  mag.at<float>(i,j);
         }
 
 }
@@ -193,7 +193,7 @@ void Domain_Filter::compute_Rfilter(Mat &output, Mat &hz, float sigma_h)
     int w = output.cols;
     int channel = output.channels();
 
-    a = exp(-sqrt(2) / sigma_h);
+    a = (float) exp((-1.0 * sqrt(2.0)) / sigma_h);
 
     Mat temp = Mat(h,w,CV_32FC3);
 
@@ -202,14 +202,12 @@ void Domain_Filter::compute_Rfilter(Mat &output, Mat &hz, float sigma_h)
             for(int c=0;c<channel;c++)
                 temp.at<float>(i,j*channel+c) = output.at<float>(i,j*channel+c);
 
-
     Mat V = Mat(h,w,CV_32FC1);
 
     for(int i=0;i<h;i++)
         for(int j=0;j<w;j++)
             V.at<float>(i,j) = pow(a,hz.at<float>(i,j));
 
-
     for(int i=0; i<h; i++)
     {
         for(int j =1; j < w; j++)
@@ -267,7 +265,7 @@ void Domain_Filter::compute_boxfilter(Mat &output, Mat &hz, Mat &psketch, float
     {
         for(int j=0;j<w;j++)
             domain_row.at<float>(0,j) = hz.at<float>(i,j);
-        domain_row.at<float>(0,w) = myinf;
+        domain_row.at<float>(0,w) = (float) myinf;
 
         Mat lower_pos_row = Mat::zeros(1,w,CV_32FC1);
         Mat upper_pos_row = Mat::zeros(1,w,CV_32FC1);
@@ -285,7 +283,7 @@ void Domain_Filter::compute_boxfilter(Mat &output, Mat &hz, Mat &psketch, float
         {
             if(domain_row.at<float>(0,j) > lower_pos_row.at<float>(0,0))
             {
-                temp_lower_idx.at<float>(0,0) = j;
+                temp_lower_idx.at<float>(0,0) = (float) j;
                 break;
             }
         }
@@ -293,7 +291,7 @@ void Domain_Filter::compute_boxfilter(Mat &output, Mat &hz, Mat &psketch, float
         {
             if(domain_row.at<float>(0,j) > upper_pos_row.at<float>(0,0))
             {
-                temp_upper_idx.at<float>(0,0) = j;
+                temp_upper_idx.at<float>(0,0) = (float) j;
                 break;
             }
         }
@@ -302,7 +300,7 @@ void Domain_Filter::compute_boxfilter(Mat &output, Mat &hz, Mat &psketch, float
         for(int j=1;j<w;j++)
         {
             int count=0;
-            for(int k=temp_lower_idx.at<float>(0,j-1);k<w+1;k++)
+            for(int k=(int) temp_lower_idx.at<float>(0,j-1);k<w+1;k++)
             {
                 if(domain_row.at<float>(0,k) > lower_pos_row.at<float>(0,j))
                 {
@@ -315,7 +313,7 @@ void Domain_Filter::compute_boxfilter(Mat &output, Mat &hz, Mat &psketch, float
             temp_lower_idx.at<float>(0,j) = temp_lower_idx.at<float>(0,j-1) + temp;
 
             count = 0;
-            for(int k=temp_upper_idx.at<float>(0,j-1);k<w+1;k++)
+            for(int k=(int) temp_upper_idx.at<float>(0,j-1);k<w+1;k++)
             {
 
 
@@ -374,7 +372,7 @@ void Domain_Filter::compute_NCfilter(Mat &output, Mat &hz, Mat &psketch, float r
 
     for(int i=0;i<h;i++)
         for(int j=0;j<w;j++)
-            indices.at<float>(i,j) = i+1;
+            indices.at<float>(i,j) = (float) i+1;
 
     Mat a = Mat::zeros(h,w,CV_32FC1);
     Mat b = Mat::zeros(h,w,CV_32FC1);
@@ -402,8 +400,8 @@ void Domain_Filter::compute_NCfilter(Mat &output, Mat &hz, Mat &psketch, float r
             for(int j=0;j<w;j++)
             {
 
-                r = b.at<float>(i,j)/(h*(w+1));
-                rem = b.at<float>(i,j) - r*h*(w+1);
+                r = (int) b.at<float>(i,j)/(h*(w+1));
+                rem = (int) b.at<float>(i,j) - r*h*(w+1);
                 q = rem/h;
                 p = rem - q*h;
                 if(q==0)
@@ -419,8 +417,8 @@ void Domain_Filter::compute_NCfilter(Mat &output, Mat &hz, Mat &psketch, float r
                 }
 
 
-                r1 = a.at<float>(i,j)/(h*(w+1));
-                rem1 = a.at<float>(i,j) - r1*h*(w+1);
+                r1 = (int) a.at<float>(i,j)/(h*(w+1));
+                rem1 = (int) a.at<float>(i,j) - r1*h*(w+1);
                 q1 = rem1/h;
                 p1 = rem1 - q1*h;
                 if(p1==0)
@@ -543,7 +541,7 @@ void Domain_Filter::filter(const Mat &img, Mat &res, float sigma_s = 60, float s
 
         for(int i=0;i<no_of_iter;i++)
         {
-            sigma_h = sigma_s * sqrt(3) * pow(2.0,(no_of_iter - (i+1))) / sqrt(pow(4.0,no_of_iter) -1);
+            sigma_h = (float) (sigma_s * sqrt(3.0) * pow(2.0,(no_of_iter - (i+1))) / sqrt(pow(4.0,no_of_iter) -1));
 
             compute_Rfilter(O, horiz, sigma_h);
 
@@ -566,9 +564,9 @@ void Domain_Filter::filter(const Mat &img, Mat &res, float sigma_s = 60, float s
 
         for(int i=0;i<no_of_iter;i++)
         {
-            sigma_h = sigma_s * sqrt(3) * pow(2.0,(no_of_iter - (i+1))) / sqrt(pow(4.0,no_of_iter) -1);
+            sigma_h = (float) (sigma_s * sqrt(3.0) * pow(2.0,(no_of_iter - (i+1))) / sqrt(pow(4.0,no_of_iter) -1));
 
-            radius = sqrt(3) * sigma_h;
+            radius = (float) sqrt(3.0) * sigma_h;
 
             compute_NCfilter(O, ct_H, temp,radius);
 
@@ -616,9 +614,9 @@ void Domain_Filter::pencil_sketch(const Mat &img, Mat &sketch, Mat &color_res, f
 
     for(int i=0;i<no_of_iter;i++)
     {
-        sigma_h = sigma_s * sqrt(3) * pow(2.0,(no_of_iter - (i+1))) / sqrt(pow(4.0,no_of_iter) -1);
+        sigma_h = (float) (sigma_s * sqrt(3.0) * pow(2.0,(no_of_iter - (i+1))) / sqrt(pow(4.0,no_of_iter) -1));
 
-        radius = sqrt(3) * sigma_h;
+        radius = (float) sqrt(3.0) * sigma_h;
 
         compute_boxfilter(O, ct_H, penx, radius);
 

modules/photo/src/seamless_cloning.cpp

@@ -41,9 +41,6 @@
 
 #include "precomp.hpp"
 #include "opencv2/photo.hpp"
-#include "opencv2/imgproc.hpp"
-#include "opencv2/highgui.hpp"
-#include "opencv2/core.hpp"
 #include <iostream>
 #include <stdlib.h>
 
@@ -243,4 +240,3 @@ void cv::textureFlattening(InputArray _src, InputArray _mask, OutputArray _dst,
     Cloning obj;
     obj.texture_flatten(src,cs_mask,gray,low_threshold,high_threshold,kernel_size,blend);
 }
-

modules/photo/src/seamless_cloning.hpp

@@ -41,9 +41,6 @@
 
 #include "precomp.hpp"
 #include "opencv2/photo.hpp"
-#include "opencv2/imgproc.hpp"
-#include "opencv2/highgui.hpp"
-#include "opencv2/core.hpp"
 #include <iostream>
 #include <stdlib.h>
 #include <complex>
@@ -162,7 +159,7 @@ void Cloning::dst(double *gtest, double *gfinal,int h,int w)
         for(int j=0,r=1;j<h;j++,r++)
         {
             idx = j*w+i;
-            temp.at<float>(r,0) = gtest[idx];
+            temp.at<float>(r,0) = (float) gtest[idx];
         }
 
         temp.at<float>(h+1,0)=0.0;
@@ -170,7 +167,7 @@ void Cloning::dst(double *gtest, double *gfinal,int h,int w)
         for(int j=h-1, r=h+2;j>=0;j--,r++)
         {
             idx = j*w+i;
-            temp.at<float>(r,0) = -1*gtest[idx];
+            temp.at<float>(r,0) = (float) (-1.0 * gtest[idx]);
         }
 
         merge(planes, 2, complex1);
@@ -187,7 +184,7 @@ void Cloning::dst(double *gtest, double *gfinal,int h,int w)
 
         for(int c=1,z=0;c<h+1;c++,z++)
         {
-            res.at<float>(z,0) = planes1[1].at<float>(c,0)/fac;
+            res.at<float>(z,0) = (float) (planes1[1].at<float>(c,0)/fac);
         }
 
         for(int q=0,z=0;q<h;q++,z++)
@@ -229,7 +226,7 @@ void Cloning::transpose(double *mat, double *mat_t,int h,int w)
         {
 
             idx = i*(w) + j;
-            tmp.at<float>(i,j) = mat[idx];
+            tmp.at<float>(i,j) = (float) mat[idx];
         }
     }
     Mat tmp_t = tmp.t();
@@ -264,7 +261,7 @@ void Cloning::poisson_solver(const Mat &img, Mat &gxx , Mat &gyy, Mat &result)
     for(int i =1;i<h-1;i++)
         for(int j=1;j<w-1;j++)
         {
-            bound.at<uchar>(i,j) = 0.0;
+            bound.at<uchar>(i,j) = 0;
         }
 
     double *f_bp = new double[h*w];
@@ -284,7 +281,7 @@ void Cloning::poisson_solver(const Mat &img, Mat &gxx , Mat &gyy, Mat &result)
         for(int j=0;j<w;j++)
         {
             idx = i*w+j;
-            diff.at<float>(i,j) = (lap.at<float>(i,j) - f_bp[idx]);
+            diff.at<float>(i,j) = (float) (lap.at<float>(i,j) - f_bp[idx]);
         }
     }
 
@@ -336,7 +333,6 @@ void Cloning::poisson_solver(const Mat &img, Mat &gxx , Mat &gyy, Mat &result)
         gfinal_t[idx] = gfinal_t[idx]/denom[idx];
     }
 
-
     idst(gfinal_t,f3,h-2,w-2);
 
     transpose(f3,f3_t,h-2,w-2);
@@ -379,9 +375,9 @@ void Cloning::poisson_solver(const Mat &img, Mat &gxx , Mat &gyy, Mat &result)
             if(img_d[idx] < 0.0)
                 result.at<uchar>(i,j) = 0;
             else if(img_d[idx] > 255.0)
-                result.at<uchar>(i,j) = 255.0;
+                result.at<uchar>(i,j) = 255;
             else
-                result.at<uchar>(i,j) = img_d[idx];	
+                result.at<uchar>(i,j) = (uchar) img_d[idx];
         }
     }
 
@@ -474,18 +470,10 @@ void Cloning::calc(Mat &I, Mat &gx, Mat &gy, Mat &sx, Mat &sy)
     resultg = Mat(I.size(),CV_8UC1);
     resultb = Mat(I.size(),CV_8UC1);
 
-    clock_t tic = clock();
-
-
     poisson_solver(r_channel,rx_channel, ry_channel,resultr);
     poisson_solver(g_channel,gx_channel, gy_channel,resultg);
     poisson_solver(b_channel,bx_channel, by_channel,resultb);
 
-    clock_t toc = clock();
-
-    printf("Execution time: %f seconds\n", (double)(toc - tic) / CLOCKS_PER_SEC);
-
-
 }
 
 void Cloning::normal_clone(Mat &I, Mat &mask, Mat &wmask, Mat &final, int num)

modules/photo/test/test_cloning.cpp

@@ -125,7 +125,7 @@ TEST(Photo_SeamlessClone_featureExchange, regression)
 
 TEST(Photo_SeamlessClone_colorChange, regression)
 {
-    string folder = string(cvtest::TS::ptr()->get_data_path()) + "cloning/Color_Change/";
+    string folder = string(cvtest::TS::ptr()->get_data_path()) + "cloning/color_change/";
     string original_path1 = folder + "source1.png";
     string original_path2 = folder + "mask.png";
 
@@ -179,4 +179,3 @@ TEST(Photo_SeamlessClone_textureFlattening, regression)
     imwrite(folder + "cloned.png", result);
 
 }
-

modules/photo/test/test_decolor.cpp

@@ -65,4 +65,3 @@ TEST(Photo_Decolor, regression)
         imwrite(folder + "color_boost.png",color_boost);
 
 }
-

modules/photo/test/test_npr.cpp

@@ -50,7 +50,7 @@ using namespace std;
 
 TEST(Photo_NPR_EdgePreserveSmoothing_RecursiveFilter, regression)
 {
-    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/Smoothing/";
+    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/";
     string original_path = folder + "test1.png";
 
     Mat source = imread(original_path, IMREAD_COLOR);
@@ -66,7 +66,7 @@ TEST(Photo_NPR_EdgePreserveSmoothing_RecursiveFilter, regression)
 
 TEST(Photo_NPR_EdgePreserveSmoothing_NormConvFilter, regression)
 {
-    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/Smoothing/";
+    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/";
     string original_path = folder + "test1.png";
 
     Mat source = imread(original_path, IMREAD_COLOR);
@@ -82,7 +82,7 @@ TEST(Photo_NPR_EdgePreserveSmoothing_NormConvFilter, regression)
 
 TEST(Photo_NPR_DetailEnhance, regression)
 {
-    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/Detail_Enhance/";
+    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/";
     string original_path = folder + "test1.png";
 
     Mat source = imread(original_path, IMREAD_COLOR);
@@ -98,7 +98,7 @@ TEST(Photo_NPR_DetailEnhance, regression)
 
 TEST(Photo_NPR_PencilSketch, regression)
 {
-    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/Pencil_Sketch/";
+    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/";
     string original_path = folder + "test1.png";
 
     Mat source = imread(original_path, IMREAD_COLOR);
@@ -115,7 +115,7 @@ TEST(Photo_NPR_PencilSketch, regression)
 
 TEST(Photo_NPR_Stylization, regression)
 {
-    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/Stylization/";
+    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/";
     string original_path = folder + "test1.png";
 
     Mat source = imread(original_path, IMREAD_COLOR);
@@ -131,7 +131,7 @@ TEST(Photo_NPR_Stylization, regression)
 
 TEST(Photo_NPR_EdgeEnhance, regression)
 {
-    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/Edge_Enhance/";
+    string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/";
     string original_path = folder + "test1.png";
 
     Mat source = imread(original_path, IMREAD_COLOR);

samples/cpp/cloning_gui.cpp

@@ -52,9 +52,6 @@ Point* pts = new Point[100];
 Point* pts2 = new Point[100];
 Point* pts_diff = new Point[100];
 
-char src[50];
-char dest[50];
-
 int var = 0;
 int flag = 0, flag1 = 0, flag4 = 0;
 
@@ -94,7 +91,6 @@ void source(int event, int x, int y, int, void*)
         }
     }
 
-
     if (event == EVENT_LBUTTONUP && drag)
     {
         imshow("Source", img1);
@@ -302,13 +298,12 @@ int main()
     cin >> num;
     cout << endl;
 
-    char s[]="Source";
-    char d[]="Destination";
-
     minx = INT_MAX; miny = INT_MAX; maxx = INT_MIN; maxy = INT_MIN;
 
     minxd = INT_MAX; minyd = INT_MAX; maxxd = INT_MIN; maxyd = INT_MIN;
 
+    int flag3 = 0;
+
     if(num == 1 || num == 2 || num == 3)
     {
 
@@ -449,12 +444,15 @@ int main()
         setMouseCallback("Source", source, NULL);
         imshow("Source", img0);
     }
+    else
+    {
+        cout << "Wrong Option Choosen" << endl;
+        exit(0);
+    }
 
-    int flag3 = 0;
-    
-    while(true)
+    for(;;)
     {
-        char key = waitKey(0);
+        char key = (char) waitKey(0);
 
         if(key == 'd' && flag3 == 0)
         {

samples/cpp/create_mask.cpp

- /*
+/*
 * create_mask.cpp
 *
 * Author:
@@ -9,8 +9,6 @@
 * mask image.
 */
 
-
-
 #include "opencv2/imgproc.hpp"
 #include "opencv2/highgui.hpp"
 #include "opencv2/core.hpp"
@@ -59,7 +57,6 @@ void mouseHandler(int event, int x, int y, int, void*)
         }
     }
 
-
     if (event == EVENT_LBUTTONUP && drag)
     {
         imshow("Source", img1);