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b/src/auxiliary.cpp |
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#include "Rcpp.h" |
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#include <opencv2/opencv.hpp> |
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#include "opencv2/xfeatures2d.hpp" |
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#include "opencv2/features2d.hpp" |
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#include "opencv2/shape/shape_transformer.hpp" |
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using namespace Rcpp; |
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using namespace std; |
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using namespace cv; |
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using namespace cv::xfeatures2d; |
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//// |
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// replace NAs in matrices |
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//// |
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// [[Rcpp::export(rng=false)]] |
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Rcpp::NumericMatrix replaceNaMatrix(Rcpp::NumericMatrix mat, int replace) { |
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int nrow = mat.nrow(); |
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int ncol = mat.ncol(); |
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for (int i = 0; i < nrow; i++) { |
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for (int j = 0; j < ncol; j++) { |
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if (Rcpp::NumericMatrix::is_na(mat(i, j))) { |
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mat(i, j) = replace; |
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} |
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} |
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} |
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return mat; |
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} |
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//// |
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// Conversion |
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//// |
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// Function to convert a cv::Mat object to a RawVector for magick images |
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Rcpp::RawVector matToImage(cv::Mat mat) { |
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// Create RawVector object |
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Rcpp::RawVector rawvec(mat.total() * mat.elemSize()); |
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rawvec.attr("dim") = Rcpp::Dimension(3, mat.cols, mat.rows); |
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// Copy Mat data to RawVector |
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std::memcpy(rawvec.begin(), mat.data, rawvec.size()); |
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return rawvec; |
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} |
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// Function to convert a RawVector for magick images to a cv::Mat object |
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cv::Mat imageToMat(Rcpp::RawVector image_data, int width, int height) { |
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// Create cv::Mat object |
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cv::Mat mat(height, width, CV_8UC3, image_data.begin()); |
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// Convert from RGBA to BGRA |
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cv::cvtColor(mat, mat, cv::COLOR_RGBA2BGR); |
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return mat; |
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} |
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// Function to convert a NumericMatrix object to a cv::Mat |
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cv::Mat numericMatrixToMat(Rcpp::NumericMatrix nm) { |
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cv::Mat m(nm.rows(), nm.cols(), CV_64F); |
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for (int i = 0; i < nm.rows(); ++i) { |
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for (int j = 0; j < nm.cols(); ++j) { |
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m.at<double>(i, j) = nm(i, j); |
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} |
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} |
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return m; |
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} |
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// Function to convert a NumericMatrix object to a cv::Point2f |
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std::vector<cv::Point2f> numericMatrixToPoint2f(Rcpp::NumericMatrix mat) { |
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std::vector<cv::Point2f> points; |
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for (int i = 0; i < mat.nrow(); i++) { |
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points.push_back(cv::Point2f(mat(i, 0), mat(i, 1))); |
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} |
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return points; |
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} |
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// Function to convert a cv::Mat object to a NumericMatrix |
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Rcpp::NumericMatrix matToNumericMatrix(cv::Mat m) { |
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Rcpp::NumericMatrix nm(m.rows, m.cols); |
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for (int i = 0; i < m.rows; ++i) { |
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for (int j = 0; j < m.cols; ++j) { |
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nm(i, j) = m.at<double>(i, j); |
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} |
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} |
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return nm; |
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} |
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// Function to convert a cv::Point2f object to a NumericMatrix |
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Rcpp::NumericMatrix point2fToNumericMatrix(std::vector<cv::Point2f> points) { |
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int n = points.size(); |
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Rcpp::NumericMatrix mat(n, 2); |
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for (int i = 0; i < n; i++) { |
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mat(i, 0) = points[i].x; |
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mat(i, 1) = points[i].y; |
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} |
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return mat; |
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} |
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// Function to convert a cv::Keypoint object to a std::vector<double> |
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std::vector<double> KeyPointToDoubleVector(std::vector<cv::KeyPoint> points) { |
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int n = points.size(); |
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std::vector<double> vec(n); |
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for (int i = 0; i < n; i++) { |
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vec[i] = (double) points[i].pt.x; |
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} |
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return vec; |
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} |
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// Function to convert a cv::Point2f object to a std::vector<double> |
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std::vector<double> Point2fToDoubleVector(std::vector<cv::Point2f> points) { |
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int n = points.size(); |
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std::vector<double> vec(n); |
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for (int i = 0; i < n; i++) { |
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vec[i] = (double) points[i].x; |
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} |
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return vec; |
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} |
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// Function to convert a cv::Point2f object to a cv::Mat |
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std::vector<cv::Point2f> matToPoint2f(cv::Mat mat) { |
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std::vector<cv::Point2f> points; |
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// Assuming the matrix has 2 columns (x and y coordinates) |
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if (mat.cols != 2) { |
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// cerr << "Input matrix must have exactly 2 columns for x and y coordinates." << endl; |
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return points; |
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} |
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// Iterate over the rows of the matrix |
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for (int i = 0; i < mat.rows; ++i) { |
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// Extract x and y coordinates from the matrix |
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float x = mat.at<float>(i, 0); |
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float y = mat.at<float>(i, 1); |
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// Create Point2f object and add it to the vector |
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points.push_back(Point2f(x, y)); |
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} |
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return points; |
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} |
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cv::Mat point2fToMat(std::vector<cv::Point2f> points) { |
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cv::Mat mat(points.size(), 2, CV_32F); |
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// Iterate over the vector of Point2f |
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for (size_t i = 0; i < points.size(); ++i) { |
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// Assign x and y coordinates to the matrix |
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mat.at<float>(i, 0) = points[i].x; |
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mat.at<float>(i, 1) = points[i].y; |
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} |
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return mat; |
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} |
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// calculate standard deviation of a vector |
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double cppSD(std::vector<cv::KeyPoint> points) |
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{ |
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std::vector<double> inVec = KeyPointToDoubleVector(points); |
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int n = inVec.size(); |
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double sum = std::accumulate(inVec.begin(), inVec.end(), 0.0); |
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double mean = sum / inVec.size(); |
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for(std::vector<double>::iterator iter = inVec.begin(); |
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iter != inVec.end(); ++iter){ |
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double temp; |
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temp= (*iter - mean)*(*iter - mean); |
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*iter = temp; |
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} |
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double sd = std::accumulate(inVec.begin(), inVec.end(), 0.0); |
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return std::sqrt( sd / (n-1) ); |
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} |
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double cppSD(std::vector<cv::Point2f> points) |
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{ |
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std::vector<double> inVec = Point2fToDoubleVector(points); |
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int n = inVec.size(); |
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double sum = std::accumulate(inVec.begin(), inVec.end(), 0.0); |
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double mean = sum / inVec.size(); |
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for(std::vector<double>::iterator iter = inVec.begin(); |
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iter != inVec.end(); ++iter){ |
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double temp; |
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temp= (*iter - mean)*(*iter - mean); |
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*iter = temp; |
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} |
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double sd = std::accumulate(inVec.begin(), inVec.end(), 0.0); |
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return std::sqrt( sd / (n-1) ); |
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} |