Merge pull request #1482 from terfendail:bitexact_resize

Author: vpisarev

modules/bgsegm/test/test_backgroundsubtractor_lsbp.cpp

@@ -91,7 +91,7 @@ template<typename T>
 static double evaluateBGSAlgorithm(Ptr<T> bgs) {
     Mat background = imread(getDataDir() + "shared/fruits.png");
     Mat object = imread(getDataDir() + "shared/baboon.png");
-    cv::resize(object, object, Size(100, 100));
+    cv::resize(object, object, Size(100, 100), 0, 0, INTER_LINEAR_EXACT);
     Ptr<bgsegm::SyntheticSequenceGenerator> generator = bgsegm::createSyntheticSequenceGenerator(background, object);
 
     double f1_mean = 0;

modules/ccalib/src/randpattern.cpp

@@ -371,7 +371,7 @@ void RandomPatternGenerator::generatePattern()
 
         Mat r = Mat(n, m, CV_32F);
         cv::randn(r, Scalar::all(0), Scalar::all(1));
-        cv::resize(r, r, Size(_imageWidth ,_imageHeight));
+        cv::resize(r, r, Size(_imageWidth ,_imageHeight), 0, 0, INTER_LINEAR_EXACT);
         double min_r, max_r;
         minMaxLoc(r, &min_r, &max_r);
 

modules/dpm/src/dpm_feature.cpp

@@ -87,7 +87,7 @@ void Feature::computeFeaturePyramid(const Mat &imageM, vector< Mat > &pyramid)
     {
         const double scale = (double)(1.0f/pow(params.sfactor, i));
         Mat imScaled;
-        resize(imageM, imScaled, imSize * scale);
+        resize(imageM, imScaled, imSize * scale, 0, 0, INTER_LINEAR_EXACT);
         // First octave at twice the image resolution
         computeHOG32D(imScaled, pyramid[i], params.binSize/2,
                 params.padx + 1, params.pady + 1);
@@ -106,7 +106,7 @@ void Feature::computeFeaturePyramid(const Mat &imageM, vector< Mat > &pyramid)
         {
             Mat imScaled2;
             Size_<double> imScaledSize = imScaled.size();
-            resize(imScaled, imScaled2, imScaledSize*0.5);
+            resize(imScaled, imScaled2, imScaledSize*0.5, 0, 0, INTER_LINEAR_EXACT);
             imScaled = imScaled2;
             computeHOG32D(imScaled2, pyramid[j+params.interval],
                     params.binSize, params.padx + 1, params.pady + 1);

modules/face/samples/facemark_lbf_fitting.cpp

@@ -104,7 +104,7 @@ int main(int argc, char** argv ){
         double __time__ = (double)getTickCount();
 
         float scale = (float)(400.0/frame.cols);
-        resize(frame, img, Size((int)(frame.cols*scale), (int)(frame.rows*scale)));
+        resize(frame, img, Size((int)(frame.cols*scale), (int)(frame.rows*scale)), 0, 0, INTER_LINEAR_EXACT);
 
         facemark->getFaces(img, rects);
         rects_scaled.clear();

modules/face/samples/sampleDetectLandmarks.cpp

@@ -72,7 +72,7 @@ int main(int argc,char** argv){
     facemark->loadModel(filename);
     cout<<"Loaded model"<<endl;
     vector<Rect> faces;
-    resize(img,img,Size(460,460));
+    resize(img,img,Size(460,460), 0, 0, INTER_LINEAR_EXACT);
     facemark->getFaces(img,faces);
     vector< vector<Point2f> > shapes;
     if(facemark->fit(img,faces,shapes))

modules/face/samples/sampleDetectLandmarksvideo.cpp

@@ -83,7 +83,7 @@ int main(int argc,char** argv){
         shapes.clear();
         cap>>img;
         //Detect faces in the current image
-        resize(img,img,Size(600,600));
+        resize(img,img,Size(600,600), 0, 0, INTER_LINEAR_EXACT);
         facemark->getFaces(img,faces);
         if(faces.size()==0){
             cout<<"No faces found in this frame"<<endl;

modules/face/samples/sample_face_swapping.cpp

@@ -139,8 +139,8 @@ int main( int argc, char** argv)
     //Detect faces in the current image
     float ratio1 = (float)img1.cols/(float)img1.rows;
     float ratio2 = (float)img2.cols/(float)img2.rows;
-    resize(img1,img1,Size((int)(640*ratio1),(int)(640*ratio1)));
-    resize(img2,img2,Size((int)(640*ratio2),(int)(640*ratio2)));
+    resize(img1,img1,Size((int)(640*ratio1),(int)(640*ratio1)), 0, 0, INTER_LINEAR_EXACT);
+    resize(img2,img2,Size((int)(640*ratio2),(int)(640*ratio2)), 0, 0, INTER_LINEAR_EXACT);
     Mat img1Warped = img2.clone();
     facemark->getFaces(img1,faces1);
     facemark->getFaces(img2,faces2);

modules/face/src/face_alignment.cpp

@@ -173,7 +173,7 @@ bool FacemarkKazemiImpl::scaleData( vector< vector<Point2f> > & trainlandmarks,
         //calculating scale for x and y axis
         scalex=float(s.width)/float(trainimages[i].cols);
         scaley=float(s.height)/float(trainimages[i].rows);
-        resize(trainimages[i],trainimages[i],s);
+        resize(trainimages[i],trainimages[i],s,0,0,INTER_LINEAR_EXACT);
         for (vector<Point2f>::iterator it = trainlandmarks[i].begin(); it != trainlandmarks[i].end(); it++) {
             Point2f pt = (*it);
             pt.x = pt.x*scalex;

modules/face/src/facemarkAAM.cpp

@@ -374,7 +374,7 @@ bool FacemarkAAMImpl::fitImpl( const Mat image, std::vector<Point2f>& landmarks,
         imgray = image;
     }
 
-    resize(imgray,img,Size(int(image.cols/scale),int(image.rows/scale)));// matlab use bicubic interpolation, the result is float numbers
+    resize(imgray,img,Size(int(image.cols/scale),int(image.rows/scale)), 0, 0, INTER_LINEAR_EXACT);// matlab use bicubic interpolation, the result is float numbers
 
     /*chop the textures model*/
     int maxCol = param_m;

modules/face/tutorials/face_landmark/face_landmark_detection.markdown

@@ -63,7 +63,7 @@ in which landmarks have to be detected.
 facemark->loadModel(filename);
 cout<<"Loaded model"<<endl;
 vector<Rect> faces;
-resize(img,img,Size(460,460));
+resize(img,img,Size(460,460),0,0,INTER_LINEAR_EXACT);
 facemark->getFaces(img,faces);
 vector< vector<Point2f> > shapes;