Commit 83fc27cb authored by Maksim Shabunin's avatar Maksim Shabunin

Fixed warnings produced by clang-9.0.0

parent a17185c6
......@@ -101,9 +101,6 @@ class Call
Call(const Call &) = default;
Call(Call &&) = default;
Call &operator=(const Call &) = default;
Call &operator=(Call &&) = default;
impl::CallMetaData metaData_;
size_t id;
QString calltype;
......
......@@ -633,7 +633,7 @@ Mat FacemarkLBFImpl::BBox::project(const Mat &shape) const {
res(i, 0) = (shape_(i, 0) - x_center) / x_scale;
res(i, 1) = (shape_(i, 1) - y_center) / y_scale;
}
return res;
return std::move(res);
}
// Project relative shape to absolute shape binding to this bbox
......@@ -644,7 +644,7 @@ Mat FacemarkLBFImpl::BBox::reproject(const Mat &shape) const {
res(i, 0) = shape_(i, 0)*x_scale + x_center;
res(i, 1) = shape_(i, 1)*y_scale + y_center;
}
return res;
return std::move(res);
}
Mat FacemarkLBFImpl::getMeanShape(std::vector<Mat> &gt_shapes, std::vector<BBox> &bboxes) {
......@@ -1005,7 +1005,7 @@ Mat FacemarkLBFImpl::RandomForest::generateLBF(Mat &img, Mat &current_shape, BBo
lbf_feat(i*trees_n + j) = (i*trees_n + j)*base + code;
}
}
return lbf_feat;
return std::move(lbf_feat);
}
void FacemarkLBFImpl::RandomForest::write(FileStorage fs, int k) {
......@@ -1347,7 +1347,7 @@ Mat FacemarkLBFImpl::Regressor::globalRegressionPredict(const Mat &lbf, int stag
for (int j = 0; j < lbf.cols; j++) y += w_ptr[lbf_ptr[j]];
delta_shape(i, 1) = y;
}
return delta_shape;
return std::move(delta_shape);
} // Regressor::globalRegressionPredict
Mat FacemarkLBFImpl::Regressor::predict(Mat &img, BBox &bbox) {
......
......@@ -106,7 +106,7 @@ struct MACEImpl CV_FINAL : MACE {
complexInput.copyTo(dftImg(Rect(0,0,IMGSIZE,IMGSIZE)));
dft(dftImg, dftImg);
return dftImg;
return std::move(dftImg);
}
......
......@@ -603,7 +603,7 @@ public:
node.setScale(value[0], value[1], value[2]);
}
void getEntityProperty(const String& name, int prop, OutputArray value)
void getEntityProperty(const String& name, int prop, OutputArray value) CV_OVERRIDE
{
SceneNode& node = _getSceneNode(sceneMgr, name);
switch(prop)
......
......@@ -141,7 +141,7 @@ struct CubeSpheresScene : Scene
Range range(0, frame.rows);
parallel_for_(range, RenderInvoker<CubeSpheresScene>(frame, pose, reproj, depthFactor));
return frame;
return std::move(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 frame;
return std::move(frame);
}
std::vector<Affine3f> getPoses() override
......
......@@ -140,7 +140,7 @@ skewMat( const Mat_<T> &x )
x(2), 0 , -x(0),
-x(1), x(0), 0;
return skew;
return std::move(skew);
}
Mat
......
......@@ -113,7 +113,7 @@ 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 T;
return std::move(T);
}
......@@ -138,7 +138,7 @@ static Mat estimateGlobMotionLeastSquaresTranslation(
*rmse = std::sqrt(*rmse / npoints);
}
return M;
return std::move(M);
}
......@@ -219,7 +219,7 @@ static Mat estimateGlobMotionLeastSquaresRotation(
*rmse = std::sqrt(*rmse / npoints);
}
return M;
return std::move(M);
}
static Mat estimateGlobMotionLeastSquaresRigid(
......@@ -273,7 +273,7 @@ static Mat estimateGlobMotionLeastSquaresRigid(
*rmse = std::sqrt(*rmse / npoints);
}
return M;
return std::move(M);
}
......@@ -484,7 +484,7 @@ Mat estimateGlobalMotionRansac(
if (ninliers)
*ninliers = ninliersMax;
return bestM;
return std::move(bestM);
}
......@@ -527,7 +527,7 @@ Mat MotionEstimatorRansacL2::estimate(InputArray points0, InputArray points1, bo
if (ok) *ok = false;
}
return M;
return std::move(M);
}
......@@ -681,7 +681,7 @@ Mat FromFileMotionReader::estimate(const Mat &/*frame0*/, const Mat &/*frame1*/,
>> M(1,0) >> M(1,1) >> M(1,2)
>> M(2,0) >> M(2,1) >> M(2,2) >> ok_;
if (ok) *ok = ok_;
return M;
return std::move(M);
}
......@@ -701,7 +701,7 @@ Mat ToFileMotionWriter::estimate(const Mat &frame0, const Mat &frame1, bool *ok)
<< M(1,0) << " " << M(1,1) << " " << M(1,2) << " "
<< M(2,0) << " " << M(2,1) << " " << M(2,2) << " " << ok_ << std::endl;
if (ok) *ok = ok_;
return M;
return std::move(M);
}
......
......@@ -338,11 +338,11 @@ void drawTrajectoryByReference(cv::Mat& img)
if(drawByReference)
{
cv::circle(img, cv::Point2d(x, y), 0.1, cv::Scalar(blue, green, red), -1);
cv::circle(img, cv::Point2d(x, y), 1, cv::Scalar(blue, green, red), -1);
}
else
{
cv::circle(img, cv::Point2d(x, y), 0.1, cv::Scalar(draw_b, draw_g, draw_r), -1);
cv::circle(img, cv::Point2d(x, y), 1, cv::Scalar(draw_b, draw_g, draw_r), -1);
}
}
}
......
......@@ -20,12 +20,12 @@ Mat readOpticalFlow( const String& path )
Mat_<Point2f> flow;
std::ifstream file(path.c_str(), std::ios_base::binary);
if ( !file.good() )
return flow; // no file - return empty matrix
return std::move(flow); // no file - return empty matrix
float tag;
file.read((char*) &tag, sizeof(float));
if ( tag != FLOW_TAG_FLOAT )
return flow;
return std::move(flow);
int width, height;
......@@ -44,14 +44,14 @@ Mat readOpticalFlow( const String& path )
if ( !file.good() )
{
flow.release();
return flow;
return std::move(flow);
}
flow(i, j) = u;
}
}
file.close();
return flow;
return std::move(flow);
}
CV_ENUM(GuideTypes, CV_8UC1, CV_8UC3)
......
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