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M_PI changed to CV_PI (#12645)
* M_PI changed to CV_PI * M_PI changed to CV_PI * M_PI changed to CV_PI
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@ -22,11 +22,11 @@ namespace details {
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// magic numbers used for chessboard corner detection
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/////////////////////////////////////////////////////////////////////////////
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const float CORNERS_SEARCH = 0.5F; // percentage of the edge length to the next corner used to find new corners
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const float MAX_ANGLE = float(48.0/180.0*M_PI); // max angle between line segments supposed to be straight
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const float MIN_COS_ANGLE = float(cos(35.0/180*M_PI)); // min cos angle between board edges
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const float MAX_ANGLE = float(48.0/180.0*CV_PI); // max angle between line segments supposed to be straight
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const float MIN_COS_ANGLE = float(cos(35.0/180*CV_PI)); // min cos angle between board edges
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const float MIN_RESPONSE_RATIO = 0.1F;
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const float ELLIPSE_WIDTH = 0.35F; // width of the search ellipse in percentage of its length
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const float RAD2DEG = float(180.0/M_PI);
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const float RAD2DEG = float(180.0/CV_PI);
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const int MAX_SYMMETRY_ERRORS = 5; // maximal number of failures during point symmetry test (filtering out lines)
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/////////////////////////////////////////////////////////////////////////////
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/////////////////////////////////////////////////////////////////////////////
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@ -214,7 +214,7 @@ int testPointSymmetry(cv::Mat mat,cv::Point2f pt,float dist,float max_error)
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int count = 0;
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cv::Mat patch1,patch2;
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cv::Point2f center1,center2;
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for(double angle=0;angle <= M_PI;angle+=M_PI*0.1)
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for(double angle=0;angle <= CV_PI;angle+=CV_PI*0.1)
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{
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cv::Point2f n(float(cos(angle)),float(-sin(angle)));
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center1 = pt+dist*n;
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@ -284,7 +284,7 @@ void FastX::rotate(float angle,const cv::Mat &img,cv::Size size,cv::Mat &out)con
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}
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else
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{
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cv::Mat m = cv::getRotationMatrix2D(cv::Point2f(float(img.cols*0.5),float(img.rows*0.5)),float(angle/M_PI*180),1);
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cv::Mat m = cv::getRotationMatrix2D(cv::Point2f(float(img.cols*0.5),float(img.rows*0.5)),float(angle/CV_PI*180),1);
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CV_Assert(m.type() == CV_64FC1);
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m.at<double>(0,2) += 0.5*(size.width-img.cols);
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m.at<double>(1,2) += 0.5*(size.height-img.rows);
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@ -390,7 +390,7 @@ std::vector<std::vector<float> > FastX::calcAngles(const std::vector<cv::Mat> &r
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// assuming all elements of the same channel
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const int channels = rotated_images.front().channels();
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int channels_1 = channels-1;
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float resolution = float(M_PI/channels);
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float resolution = float(CV_PI/channels);
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float angle;
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float val1,val2,val3,wrap_around;
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@ -436,9 +436,9 @@ std::vector<std::vector<float> > FastX::calcAngles(const std::vector<cv::Mat> &r
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{
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angle = float((calcSubPos(val1,val2,val3)+i)*resolution);
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if(angle < 0)
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angle += float(M_PI);
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else if(angle > M_PI)
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angle -= float(M_PI);
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angle += float(CV_PI);
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else if(angle > CV_PI)
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angle -= float(CV_PI);
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angles_i.push_back(angle);
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pt_iter->angle = 360.0F-angle*RAD2DEG;
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}
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@ -447,9 +447,9 @@ std::vector<std::vector<float> > FastX::calcAngles(const std::vector<cv::Mat> &r
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{
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angle = float((calcSubPos(val1,val2,val3)+i)*resolution);
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if(angle < 0)
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angle += float(M_PI);
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else if(angle > M_PI)
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angle -= float(M_PI);
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angle += float(CV_PI);
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else if(angle > CV_PI)
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angle -= float(CV_PI);
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angles_i.push_back(-angle);
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pt_iter->angle = 360.0F-angle*RAD2DEG;
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}
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@ -463,9 +463,9 @@ std::vector<std::vector<float> > FastX::calcAngles(const std::vector<cv::Mat> &r
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{
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angle = float((calcSubPos(val1,val2,wrap_around)+channels-1)*resolution);
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if(angle < 0)
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angle += float(M_PI);
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else if(angle > M_PI)
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angle -= float(M_PI);
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angle += float(CV_PI);
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else if(angle > CV_PI)
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angle -= float(CV_PI);
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angles_i.push_back(angle);
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pt_iter->angle = 360.0F-angle*RAD2DEG;
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}
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@ -474,9 +474,9 @@ std::vector<std::vector<float> > FastX::calcAngles(const std::vector<cv::Mat> &r
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{
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angle = float((calcSubPos(val1,val2,wrap_around)+channels-1)*resolution);
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if(angle < 0)
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angle += float(M_PI);
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else if(angle > M_PI)
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angle -= float(M_PI);
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angle += float(CV_PI);
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else if(angle > CV_PI)
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angle -= float(CV_PI);
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angles_i.push_back(-angle);
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pt_iter->angle = 360.0F-angle*RAD2DEG;
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}
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@ -632,7 +632,7 @@ void FastX::detectImpl(const cv::Mat& _gray_image,
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cv::Mat rotated,filtered_h,filtered_v;
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int diag = int(sqrt(gray_image.rows*gray_image.rows+gray_image.cols*gray_image.cols));
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cv::Size size(diag,diag);
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int num = int(0.5001*M_PI/parameters.resolution);
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int num = int(0.5001*CV_PI/parameters.resolution);
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std::vector<cv::Mat> images;
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images.resize(2*num);
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int scale_size = int(1+pow(2.0,scale+1+super_res));
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@ -722,7 +722,7 @@ cv::Point2f Ellipse::getCenter()const
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void Ellipse::draw(cv::InputOutputArray img,const cv::Scalar &color)const
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{
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cv::ellipse(img,center,axes,360-angle/M_PI*180,0,360,color);
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cv::ellipse(img,center,axes,360-angle/CV_PI*180,0,360,color);
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}
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bool Ellipse::contains(const cv::Point2f &pt)const
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@ -1542,10 +1542,10 @@ float Chessboard::Board::findMaxPoint(cv::flann::Index &index,const cv::Mat &dat
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const float &a0 = *(val+2);
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float a1 = fabs(a0-white_angle);
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float a2 = fabs(a0-black_angle);
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if(a1 > M_PI*0.5)
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a1= float(fabs(a1-M_PI));
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if(a2> M_PI*0.5)
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a2= float(fabs(a2-M_PI));
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if(a1 > CV_PI*0.5)
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a1= float(fabs(a1-CV_PI));
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if(a2> CV_PI*0.5)
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a2= float(fabs(a2-CV_PI));
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if(a1 < MAX_ANGLE || a2 < MAX_ANGLE )
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{
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cv::Point2f pt(*val,*(val+1));
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@ -1788,7 +1788,7 @@ bool Chessboard::Board::estimateSearchArea(const cv::Point2f &p1,const cv::Point
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n = n/norm;
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float angle = acos(n.x);
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if(n.y > 0)
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angle = float(2.0F*M_PI-angle);
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angle = float(2.0F*CV_PI-angle);
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n = p4-p3;
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norm = float(cv::norm(n));
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double delta = std::max(3.0F,p*norm);
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@ -2795,7 +2795,7 @@ void Chessboard::findKeyPoints(const cv::Mat& image, std::vector<KeyPoint>& keyp
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para.branches = 2; // this is always the case for checssboard corners
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para.strength = 10; // minimal threshold
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para.resolution = float(M_PI*0.25); // this gives the best results taking interpolation into account
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para.resolution = float(CV_PI*0.25); // this gives the best results taking interpolation into account
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para.filter = 1;
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para.super_resolution = parameters.super_resolution;
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para.min_scale = parameters.min_scale;
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@ -2846,7 +2846,7 @@ cv::Mat Chessboard::buildData(const std::vector<KeyPoint>& keypoints)const
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{
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(*val++) = iter->pt.x;
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(*val++) = iter->pt.y;
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(*val++) = float(2.0*M_PI-iter->angle/180.0*M_PI);
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(*val++) = float(2.0*CV_PI-iter->angle/180.0*CV_PI);
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(*val++) = iter->response;
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}
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return data;
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@ -2876,13 +2876,13 @@ std::vector<cv::KeyPoint> Chessboard::getInitialPoints(cv::flann::Index &flann_i
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continue;
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const float &angle = data.at<float>(*ids_iter,2);
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float angle_temp = fabs(angle-white_angle);
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if(angle_temp > M_PI*0.5)
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angle_temp = float(fabs(angle_temp-M_PI));
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if(angle_temp > CV_PI*0.5)
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angle_temp = float(fabs(angle_temp-CV_PI));
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if(angle_temp > MAX_ANGLE)
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{
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angle_temp = fabs(angle-black_angle);
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if(angle_temp > M_PI*0.5)
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angle_temp = float(fabs(angle_temp-M_PI));
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if(angle_temp > CV_PI*0.5)
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angle_temp = float(fabs(angle_temp-CV_PI));
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if(angle_temp >MAX_ANGLE)
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continue;
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}
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@ -32,7 +32,7 @@ class FastX : public cv::Feature2D
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Parameters()
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{
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strength = 40;
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resolution = float(M_PI*0.25);
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resolution = float(CV_PI*0.25);
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branches = 2;
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min_scale = 2;
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max_scale = 5;
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@ -566,7 +566,7 @@ bool CV_ChessboardDetectorTest::checkByGeneratorHighAccuracy()
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for(int i=15;i<90;i=i+15)
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{
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// project 3d points to new camera
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Vec3f rvec(0.0F,0.05F,float(float(i)/180.0*M_PI));
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Vec3f rvec(0.0F,0.05F,float(float(i)/180.0*CV_PI));
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Vec3f tvec(0,0,0);
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cv::Mat k = (cv::Mat_<double>(3,3) << fx/2,0,center.x*2, 0,fy/2,center.y, 0,0,1);
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cv::projectPoints(pts3d,rvec,tvec,k,cv::Mat(),pts2_all);
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