Merge pull request #3734 from asmorkalov:as/std_move_warning

Fixed Wredundant-move produced by GCC 13.2 (Ubuntu 24.04). #3734

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

modules/face/src/facemarkLBF.cpp

@@ -661,24 +661,22 @@ FacemarkLBFImpl::BBox::BBox(double _x, double _y, double w, double h) {
 
 // Project absolute shape to relative shape binding to this bbox
 Mat FacemarkLBFImpl::BBox::project(const Mat &shape) const {
-    Mat_<double> res(shape.rows, shape.cols);
-    const Mat_<double> &shape_ = (Mat_<double>)shape;
+    Mat res(shape.rows, shape.cols, CV_64FC1);
     for (int i = 0; i < shape.rows; i++) {
-        res(i, 0) = (shape_(i, 0) - x_center) / x_scale;
-        res(i, 1) = (shape_(i, 1) - y_center) / y_scale;
+        res.at<double>(i, 0) = (shape.at<double>(i, 0) - x_center) / x_scale;
+        res.at<double>(i, 1) = (shape.at<double>(i, 1) - y_center) / y_scale;
     }
-    return std::move(res);
+    return res;
 }
 
 // Project relative shape to absolute shape binding to this bbox
 Mat FacemarkLBFImpl::BBox::reproject(const Mat &shape) const {
-    Mat_<double> res(shape.rows, shape.cols);
-    const Mat_<double> &shape_ = (Mat_<double>)shape;
+    Mat res(shape.rows, shape.cols, CV_64FC1);
     for (int i = 0; i < shape.rows; i++) {
-        res(i, 0) = shape_(i, 0)*x_scale + x_center;
-        res(i, 1) = shape_(i, 1)*y_scale + y_center;
+        res.at<double>(i, 0) = shape.at<double>(i, 0)*x_scale + x_center;
+        res.at<double>(i, 1) = shape.at<double>(i, 1)*y_scale + y_center;
     }
-    return std::move(res);
+    return res;
 }
 
 Mat FacemarkLBFImpl::getMeanShape(std::vector<Mat> &gt_shapes, std::vector<BBox> &bboxes) {
@@ -997,7 +995,7 @@ void FacemarkLBFImpl::RandomForest::train(std::vector<Mat> &imgs, std::vector<Ma
 }
 
 Mat FacemarkLBFImpl::RandomForest::generateLBF(Mat &img, Mat &current_shape, BBox &bbox, Mat &mean_shape) {
-    Mat_<int> lbf_feat(1, landmark_n*trees_n);
+    Mat lbf_feat(1, landmark_n*trees_n, CV_32SC1);
     double scale;
     Mat_<double> rotate;
     calcSimilarityTransform(bbox.project(current_shape), mean_shape, scale, rotate);
@@ -1036,10 +1034,10 @@ Mat FacemarkLBFImpl::RandomForest::generateLBF(Mat &img, Mat &current_shape, BBo
                     idx = 2 * idx + 1;
                 }
             }
-            lbf_feat(i*trees_n + j) = (i*trees_n + j)*base + code;
+            lbf_feat.at<int>(i*trees_n + j) = (i*trees_n + j)*base + code;
         }
     }
-    return std::move(lbf_feat);
+    return lbf_feat;
 }
 
 void FacemarkLBFImpl::RandomForest::write(FileStorage fs, int k) {
@@ -1365,7 +1363,7 @@ Mat FacemarkLBFImpl::Regressor::supportVectorRegression(
 
 Mat FacemarkLBFImpl::Regressor::globalRegressionPredict(const Mat &lbf, int stage) {
     const Mat_<double> &weight = (Mat_<double>)gl_regression_weights[stage];
-    Mat_<double> delta_shape(weight.rows / 2, 2);
+    Mat delta_shape(weight.rows / 2, 2, CV_64FC1);
     const double *w_ptr = NULL;
     const int *lbf_ptr = lbf.ptr<int>(0);
 
@@ -1374,14 +1372,14 @@ Mat FacemarkLBFImpl::Regressor::globalRegressionPredict(const Mat &lbf, int stag
         w_ptr = weight.ptr<double>(2 * i);
         double y = 0;
         for (int j = 0; j < lbf.cols; j++) y += w_ptr[lbf_ptr[j]];
-        delta_shape(i, 0) = y;
+        delta_shape.at<double>(i, 0) = y;
 
         w_ptr = weight.ptr<double>(2 * i + 1);
         y = 0;
         for (int j = 0; j < lbf.cols; j++) y += w_ptr[lbf_ptr[j]];
-        delta_shape(i, 1) = y;
+        delta_shape.at<double>(i, 1) = y;
     }
-    return std::move(delta_shape);
+    return delta_shape;
 } // Regressor::globalRegressionPredict
 
 Mat FacemarkLBFImpl::Regressor::predict(Mat &img, BBox &bbox) {

modules/face/src/mace.cpp

@@ -102,11 +102,11 @@ struct MACEImpl CV_FINAL : MACE {
         Mat complexInput;
         merge(input, 2, complexInput);
 
-        Mat_<Vec2d> dftImg(IMGSIZE*2, IMGSIZE*2, 0.0);
+        Mat dftImg(IMGSIZE*2, IMGSIZE*2, CV_64FC2, 0.0);
         complexInput.copyTo(dftImg(Rect(0,0,IMGSIZE,IMGSIZE)));
 
         dft(dftImg, dftImg);
-        return std::move(dftImg);
+        return dftImg;
     }
 
 

modules/mcc/test/test_mcc.cpp

@@ -102,7 +102,9 @@ TEST(CV_mcc_ccm_test, detect_Macbeth)
 
     // check Macbeth corners
     vector<Point2f> corners = checker->getBox();
-    EXPECT_MAT_NEAR(gold_corners, corners, 3.6); // diff 3.57385 in ARM only
+    // diff 3.57385 corresponds to ARM v8
+    // diff 4.37915 correspnds to Ubuntu 24.04 x86_64 configuration
+    EXPECT_MAT_NEAR(gold_corners, corners, 4.38);
 
     // read gold chartsRGB
     node = fs["chartsRGB"];
@@ -112,7 +114,7 @@ TEST(CV_mcc_ccm_test, detect_Macbeth)
 
     // check chartsRGB
     Mat chartsRGB = checker->getChartsRGB();
-    EXPECT_MAT_NEAR(goldChartsRGB.col(1), chartsRGB.col(1), 0.25); // diff 0.240634 in ARM only
+    EXPECT_MAT_NEAR(goldChartsRGB.col(1), chartsRGB.col(1), 0.3); // diff 0.292077 on Ubuntu 20.04 ARM64
 }
 
 TEST(CV_mcc_ccm_test, compute_ccm)

modules/rgbd/perf/perf_tsdf.cpp

@@ -91,7 +91,7 @@ struct Scene
 {
     virtual ~Scene() {}
     static Ptr<Scene> create(Size sz, Matx33f _intr, float _depthFactor, bool onlySemisphere);
-    virtual Mat depth(Affine3f pose) = 0;
+    virtual Mat_<float> depth(const Affine3f& pose) = 0;
     virtual std::vector<Affine3f> getPoses() = 0;
 };
 
@@ -131,7 +131,7 @@ struct SemisphereScene : Scene
         return res;
     }
 
-    Mat depth(Affine3f pose) override
+    Mat_<float> depth(const Affine3f& pose) override
     {
         Mat_<float> frame(frameSize);
         Reprojector reproj(intr);
@@ -139,7 +139,7 @@ struct SemisphereScene : Scene
         Range range(0, frame.rows);
         parallel_for_(range, RenderInvoker<SemisphereScene>(frame, pose, reproj, depthFactor, onlySemisphere));
 
-        return std::move(frame);
+        return frame;
     }
 
     std::vector<Affine3f> getPoses() override

modules/rgbd/test/ocl/test_tsdf.cpp

@@ -143,7 +143,7 @@ struct SemisphereScene : Scene
         Range range(0, frame.rows);
         parallel_for_(range, RenderInvoker<SemisphereScene>(frame, pose, reproj, depthFactor, onlySemisphere));
 
-        return std::move(frame);
+        return static_cast<Mat>(frame);
     }
 
     std::vector<Affine3f> getPoses() override

modules/rgbd/test/test_colored_kinfu.cpp

@@ -158,8 +158,8 @@ struct Scene
 {
     virtual ~Scene() {}
     static Ptr<Scene> create(int nScene, Size sz, Matx33f _intr, float _depthFactor);
-    virtual Mat depth(Affine3f pose) = 0;
-    virtual Mat rgb(Affine3f pose) = 0;
+    virtual Mat_<float> depth(const Affine3f& pose) = 0;
+    virtual Mat_<Vec3f> rgb(const Affine3f& pose) = 0;
     virtual std::vector<Affine3f> getPoses() = 0;
 };
 
@@ -198,7 +198,7 @@ struct CubeSpheresScene : Scene
         return res;
     }
 
-    Mat depth(Affine3f pose) override
+    Mat_<float> depth(const Affine3f& pose) override
     {
         Mat_<float> frame(frameSize);
         Reprojector reproj(intr);
@@ -206,10 +206,10 @@ struct CubeSpheresScene : Scene
         Range range(0, frame.rows);
         parallel_for_(range, RenderInvoker<CubeSpheresScene>(frame, pose, reproj, depthFactor));
 
-        return std::move(frame);
+        return frame;
     }
 
-    Mat rgb(Affine3f pose) override
+    Mat_<Vec3f> rgb(const Affine3f& pose) override
     {
         Mat_<Vec3f> frame(frameSize);
         Reprojector reproj(intr);
@@ -217,7 +217,7 @@ struct CubeSpheresScene : Scene
         Range range(0, frame.rows);
         parallel_for_(range, RenderColorInvoker<CubeSpheresScene>(frame, pose, reproj, depthFactor));
 
-        return std::move(frame);
+        return frame;
     }
 
     std::vector<Affine3f> getPoses() override
@@ -305,7 +305,7 @@ struct RotatingScene : Scene
         return res;
     }
 
-    Mat depth(Affine3f pose) override
+    Mat_<float> depth(const Affine3f& pose) override
     {
         Mat_<float> frame(frameSize);
         Reprojector reproj(intr);
@@ -313,10 +313,10 @@ struct RotatingScene : Scene
         Range range(0, frame.rows);
         parallel_for_(range, RenderInvoker<RotatingScene>(frame, pose, reproj, depthFactor));
 
-        return std::move(frame);
+        return frame;
     }
 
-    Mat rgb(Affine3f pose) override
+    Mat_<Vec3f> rgb(const Affine3f& pose) override
     {
         Mat_<Vec3f> frame(frameSize);
         Reprojector reproj(intr);
@@ -324,7 +324,7 @@ struct RotatingScene : Scene
         Range range(0, frame.rows);
         parallel_for_(range, RenderColorInvoker<RotatingScene>(frame, pose, reproj, depthFactor));
 
-        return std::move(frame);
+        return frame;
     }
 
     std::vector<Affine3f> getPoses() override

modules/rgbd/test/test_kinfu.cpp

@@ -141,7 +141,7 @@ struct CubeSpheresScene : Scene
         Range range(0, frame.rows);
         parallel_for_(range, RenderInvoker<CubeSpheresScene>(frame, pose, reproj, depthFactor));
 
-        return std::move(frame);
+        return static_cast<Mat>(frame);
     }
 
     std::vector<Affine3f> getPoses() override
@@ -237,7 +237,7 @@ struct RotatingScene : Scene
         Range range(0, frame.rows);
         parallel_for_(range, RenderInvoker<RotatingScene>(frame, pose, reproj, depthFactor));
 
-        return std::move(frame);
+        return static_cast<Mat>(frame);
     }
 
     std::vector<Affine3f> getPoses() override

modules/rgbd/test/test_tsdf.cpp

@@ -140,7 +140,7 @@ struct SemisphereScene : Scene
         Range range(0, frame.rows);
         parallel_for_(range, RenderInvoker<SemisphereScene>(frame, pose, reproj, depthFactor, onlySemisphere));
 
-        return std::move(frame);
+        return static_cast<Mat>(frame);
     }
 
     std::vector<Affine3f> getPoses() override

modules/videostab/src/global_motion.cpp

@@ -82,7 +82,7 @@ namespace videostab
 {
 
 // does isotropic normalization
-static Mat normalizePoints(int npoints, Point2f *points)
+static Mat_<float> normalizePoints(int npoints, Point2f *points)
 {
     float cx = 0.f, cy = 0.f;
     for (int i = 0; i < npoints; ++i)
@@ -113,32 +113,32 @@ static Mat normalizePoints(int npoints, Point2f *points)
     T(0,0) = T(1,1) = s;
     T(0,2) = -cx*s;
     T(1,2) = -cy*s;
-    return std::move(T);
+    return T;
 }
 
 
 static Mat estimateGlobMotionLeastSquaresTranslation(
         int npoints, Point2f *points0, Point2f *points1, float *rmse)
 {
-    Mat_<float> M = Mat::eye(3, 3, CV_32F);
+    Mat M = Mat::eye(3, 3, CV_32FC1);
     for (int i = 0; i < npoints; ++i)
     {
-        M(0,2) += points1[i].x - points0[i].x;
-        M(1,2) += points1[i].y - points0[i].y;
+        M.at<float>(0,2) += points1[i].x - points0[i].x;
+        M.at<float>(1,2) += points1[i].y - points0[i].y;
     }
-    M(0,2) /= npoints;
-    M(1,2) /= npoints;
+    M.at<float>(0,2) /= npoints;
+    M.at<float>(1,2) /= npoints;
 
     if (rmse)
     {
         *rmse = 0;
         for (int i = 0; i < npoints; ++i)
-            *rmse += sqr(points1[i].x - points0[i].x - M(0,2)) +
-                     sqr(points1[i].y - points0[i].y - M(1,2));
+            *rmse += sqr(points1[i].x - points0[i].x - M.at<float>(0,2)) +
+                     sqr(points1[i].y - points0[i].y - M.at<float>(1,2));
         *rmse = std::sqrt(*rmse / npoints);
     }
 
-    return std::move(M);
+    return M;
 }
 
 
@@ -194,16 +194,16 @@ static Mat estimateGlobMotionLeastSquaresRotation(
 
     // A*sin(alpha) + B*cos(alpha) = 0
     float C = std::sqrt(A*A + B*B);
-    Mat_<float> M = Mat::eye(3, 3, CV_32F);
+    Mat M = Mat::eye(3, 3, CV_32F);
     if ( C != 0 )
     {
         float sinAlpha = - B / C;
         float cosAlpha = A / C;
 
-        M(0,0) = cosAlpha;
-        M(1,1) = M(0,0);
-        M(0,1) = sinAlpha;
-        M(1,0) = - M(0,1);
+        M.at<float>(0,0) = cosAlpha;
+        M.at<float>(1,1) = cosAlpha;
+        M.at<float>(0,1) = sinAlpha;
+        M.at<float>(1,0) = - sinAlpha;
     }
 
     if (rmse)
@@ -213,13 +213,13 @@ static Mat estimateGlobMotionLeastSquaresRotation(
         {
             p0 = points0[i];
             p1 = points1[i];
-            *rmse += sqr(p1.x - M(0,0)*p0.x - M(0,1)*p0.y) +
-                     sqr(p1.y - M(1,0)*p0.x - M(1,1)*p0.y);
+            *rmse += sqr(p1.x - M.at<float>(0,0)*p0.x - M.at<float>(0,1)*p0.y) +
+                     sqr(p1.y - M.at<float>(1,0)*p0.x - M.at<float>(1,1)*p0.y);
         }
         *rmse = std::sqrt(*rmse / npoints);
     }
 
-    return std::move(M);
+    return M;
 }
 
 static Mat estimateGlobMotionLeastSquaresRigid(
@@ -250,15 +250,15 @@ static Mat  estimateGlobMotionLeastSquaresRigid(
         A(1,1) += pt1.y * pt0.y;
     }
 
-    Mat_<float> M = Mat::eye(3, 3, CV_32F);
+    Mat M = Mat::eye(3, 3, CV_32FC1);
 
     SVD svd(A);
     Mat_<float> R = svd.u * svd.vt;
     Mat tmp(M(Rect(0,0,2,2)));
     R.copyTo(tmp);
 
-    M(0,2) = mean1.x - R(0,0)*mean0.x - R(0,1)*mean0.y;
-    M(1,2) = mean1.y - R(1,0)*mean0.x - R(1,1)*mean0.y;
+    M.at<float>(0,2) = mean1.x - R(0,0)*mean0.x - R(0,1)*mean0.y;
+    M.at<float>(1,2) = mean1.y - R(1,0)*mean0.x - R(1,1)*mean0.y;
 
     if (rmse)
     {
@@ -267,13 +267,13 @@ static Mat  estimateGlobMotionLeastSquaresRigid(
         {
             pt0 = points0[i];
             pt1 = points1[i];
-            *rmse += sqr(pt1.x - M(0,0)*pt0.x - M(0,1)*pt0.y - M(0,2)) +
-                     sqr(pt1.y - M(1,0)*pt0.x - M(1,1)*pt0.y - M(1,2));
+            *rmse += sqr(pt1.x - M.at<float>(0,0)*pt0.x - M.at<float>(0,1)*pt0.y - M.at<float>(0,2)) +
+                     sqr(pt1.y - M.at<float>(1,0)*pt0.x - M.at<float>(1,1)*pt0.y - M.at<float>(1,2));
         }
         *rmse = std::sqrt(*rmse / npoints);
     }
 
-    return std::move(M);
+    return M;
 }
 
 
@@ -404,7 +404,7 @@ Mat estimateGlobalMotionRansac(
     // best hypothesis
     std::vector<int> bestIndices(params.size);
 
-    Mat_<float> bestM;
+    Mat bestM;
     int ninliersMax = -1;
 
     RNG rng(0);
@@ -469,8 +469,8 @@ Mat estimateGlobalMotionRansac(
         {
             p0 = points0_[i];
             p1 = points1_[i];
-            x = bestM(0,0)*p0.x + bestM(0,1)*p0.y + bestM(0,2);
-            y = bestM(1,0)*p0.x + bestM(1,1)*p0.y + bestM(1,2);
+            x = bestM.at<float>(0,0)*p0.x + bestM.at<float>(0,1)*p0.y + bestM.at<float>(0,2);
+            y = bestM.at<float>(1,0)*p0.x + bestM.at<float>(1,1)*p0.y + bestM.at<float>(1,2);
             if (sqr(x - p1.x) + sqr(y - p1.y) < params.thresh * params.thresh)
             {
                 subset0[j] = p0;
@@ -484,7 +484,7 @@ Mat estimateGlobalMotionRansac(
     if (ninliers)
         *ninliers = ninliersMax;
 
-    return std::move(bestM);
+    return bestM;
 }
 
 
@@ -505,7 +505,7 @@ Mat MotionEstimatorRansacL2::estimate(InputArray points0, InputArray points1, bo
     // find motion
 
     int ninliers = 0;
-    Mat_<float> M;
+    Mat M;
 
     if (motionModel() != MM_HOMOGRAPHY)
         M = estimateGlobalMotionRansac(
@@ -527,7 +527,7 @@ Mat MotionEstimatorRansacL2::estimate(InputArray points0, InputArray points1, bo
         if (ok) *ok = false;
     }
 
-    return std::move(M);
+    return M;
 }
 
 
@@ -675,13 +675,13 @@ FromFileMotionReader::FromFileMotionReader(const String &path)
 
 Mat FromFileMotionReader::estimate(const Mat &/*frame0*/, const Mat &/*frame1*/, bool *ok)
 {
-    Mat_<float> M(3, 3);
+    Mat M(3, 3, CV_32FC1);
     bool ok_;
-    file_ >> M(0,0) >> M(0,1) >> M(0,2)
-          >> M(1,0) >> M(1,1) >> M(1,2)
-          >> M(2,0) >> M(2,1) >> M(2,2) >> ok_;
+    file_ >> M.at<float>(0,0) >> M.at<float>(0,1) >> M.at<float>(0,2)
+          >> M.at<float>(1,0) >> M.at<float>(1,1) >> M.at<float>(1,2)
+          >> M.at<float>(2,0) >> M.at<float>(2,1) >> M.at<float>(2,2) >> ok_;
     if (ok) *ok = ok_;
-    return std::move(M);
+    return M;
 }
 
 
@@ -696,12 +696,13 @@ ToFileMotionWriter::ToFileMotionWriter(const String &path, Ptr<ImageMotionEstima
 Mat ToFileMotionWriter::estimate(const Mat &frame0, const Mat &frame1, bool *ok)
 {
     bool ok_;
-    Mat_<float> M = motionEstimator_->estimate(frame0, frame1, &ok_);
-    file_ << M(0,0) << " " << M(0,1) << " " << M(0,2) << " "
-          << M(1,0) << " " << M(1,1) << " " << M(1,2) << " "
-          << M(2,0) << " " << M(2,1) << " " << M(2,2) << " " << ok_ << std::endl;
+    Mat M = motionEstimator_->estimate(frame0, frame1, &ok_);
+    file_ << M.at<float>(0,0) << " " << M.at<float>(0,1) << " " << M.at<float>(0,2) << " "
+          << M.at<float>(1,0) << " " << M.at<float>(1,1) << " " << M.at<float>(1,2) << " "
+          << M.at<float>(2,0) << " " << M.at<float>(2,1) << " " << M.at<float>(2,2) << " "
+          << ok_ << std::endl;
     if (ok) *ok = ok_;
-    return std::move(M);
+    return M;
 }
 
 

modules/ximgproc/test/test_sparse_match_interpolator.cpp

@@ -17,22 +17,22 @@ Mat readOpticalFlow( const String& path )
 //    CV_Assert(sizeof(float) == 4);
     //FIXME: ensure right sizes of int and float - here and in writeOpticalFlow()
 
-    Mat_<Point2f> flow;
+    Mat flow;
     std::ifstream file(path.c_str(), std::ios_base::binary);
     if ( !file.good() )
-        return std::move(flow); // no file - return empty matrix
+        return flow; // no file - return empty matrix
 
     float tag;
     file.read((char*) &tag, sizeof(float));
     if ( tag != FLOW_TAG_FLOAT )
-        return std::move(flow);
+        return flow;
 
     int width, height;
 
     file.read((char*) &width, 4);
     file.read((char*) &height, 4);
 
-    flow.create(height, width);
+    flow.create(height, width, CV_32FC2);
 
     for ( int i = 0; i < flow.rows; ++i )
     {
@@ -44,14 +44,14 @@ Mat readOpticalFlow( const String& path )
             if ( !file.good() )
             {
                 flow.release();
-                return std::move(flow);
+                return flow;
             }
 
-            flow(i, j) = u;
+            flow.at<Point2f>(i, j) = u;
         }
     }
     file.close();
-    return std::move(flow);
+    return flow;
 }
 
 CV_ENUM(GuideTypes, CV_8UC1, CV_8UC3)