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// // This file is auto-generated. Please don't modify it! ///*w ww . j av a 2 s. c om*/ package org.opencv.contrib; import java.util.List; import org.opencv.core.Mat; import org.opencv.core.MatOfFloat; import org.opencv.core.MatOfPoint; import org.opencv.utils.Converters; public class Contrib { public static final int ROTATION = 1, TRANSLATION = 2, RIGID_BODY_MOTION = 4, COLORMAP_AUTUMN = 0, COLORMAP_BONE = 1, COLORMAP_JET = 2, COLORMAP_WINTER = 3, COLORMAP_RAINBOW = 4, COLORMAP_OCEAN = 5, COLORMAP_SUMMER = 6, COLORMAP_SPRING = 7, COLORMAP_COOL = 8, COLORMAP_HSV = 9, COLORMAP_PINK = 10, COLORMAP_HOT = 11, RETINA_COLOR_RANDOM = 0, RETINA_COLOR_DIAGONAL = 1, RETINA_COLOR_BAYER = 2; // // C++: void applyColorMap(Mat src, Mat& dst, int colormap) // /** * <p>Applies a GNU Octave/MATLAB equivalent colormap on a given image.</p> * * <p>Currently the following GNU Octave/MATLAB equivalent colormaps are * implemented: enum <code></p> * * <p>// C++ code:</p> * * * <p>COLORMAP_AUTUMN = 0,</p> * * <p>COLORMAP_BONE = 1,</p> * * <p>COLORMAP_JET = 2,</p> * * <p>COLORMAP_WINTER = 3,</p> * * <p>COLORMAP_RAINBOW = 4,</p> * * <p>COLORMAP_OCEAN = 5,</p> * * <p>COLORMAP_SUMMER = 6,</p> * * <p>COLORMAP_SPRING = 7,</p> * * <p>COLORMAP_COOL = 8,</p> * * <p>COLORMAP_HSV = 9,</p> * * <p>COLORMAP_PINK = 10,</p> * * <p>COLORMAP_HOT = 11</p> * * * @param src The source image, grayscale or colored does not matter. * @param dst The result is the colormapped source image. Note: "Mat.create" is * called on dst. * @param colormap The colormap to apply, see the list of available colormaps * below. * * @see <a href="http://docs.opencv.org/modules/contrib/doc/colormaps.html#applycolormap">org.opencv.contrib.Contrib.applyColorMap</a> */ public static void applyColorMap(Mat src, Mat dst, int colormap) { applyColorMap_0(src.nativeObj, dst.nativeObj, colormap); return; } // // C++: int chamerMatching(Mat img, Mat templ, vector_vector_Point& results, vector_float& cost, double templScale = 1, int maxMatches = 20, double minMatchDistance = 1.0, int padX = 3, int padY = 3, int scales = 5, double minScale = 0.6, double maxScale = 1.6, double orientationWeight = 0.5, double truncate = 20) // public static int chamerMatching(Mat img, Mat templ, List<MatOfPoint> results, MatOfFloat cost, double templScale, int maxMatches, double minMatchDistance, int padX, int padY, int scales, double minScale, double maxScale, double orientationWeight, double truncate) { Mat results_mat = new Mat(); Mat cost_mat = cost; int retVal = chamerMatching_0(img.nativeObj, templ.nativeObj, results_mat.nativeObj, cost_mat.nativeObj, templScale, maxMatches, minMatchDistance, padX, padY, scales, minScale, maxScale, orientationWeight, truncate); Converters.Mat_to_vector_vector_Point(results_mat, results); return retVal; } public static int chamerMatching(Mat img, Mat templ, List<MatOfPoint> results, MatOfFloat cost) { Mat results_mat = new Mat(); Mat cost_mat = cost; int retVal = chamerMatching_1(img.nativeObj, templ.nativeObj, results_mat.nativeObj, cost_mat.nativeObj); Converters.Mat_to_vector_vector_Point(results_mat, results); return retVal; } // // C++: Ptr_FaceRecognizer createEigenFaceRecognizer(int num_components = 0, double threshold = DBL_MAX) // // Return type 'Ptr_FaceRecognizer' is not supported, skipping the function // // C++: Ptr_FaceRecognizer createFisherFaceRecognizer(int num_components = 0, double threshold = DBL_MAX) // // Return type 'Ptr_FaceRecognizer' is not supported, skipping the function // // C++: Ptr_FaceRecognizer createLBPHFaceRecognizer(int radius = 1, int neighbors = 8, int grid_x = 8, int grid_y = 8, double threshold = DBL_MAX) // // Return type 'Ptr_FaceRecognizer' is not supported, skipping the function // C++: void applyColorMap(Mat src, Mat& dst, int colormap) private static native void applyColorMap_0(long src_nativeObj, long dst_nativeObj, int colormap); // C++: int chamerMatching(Mat img, Mat templ, vector_vector_Point& results, vector_float& cost, double templScale = 1, int maxMatches = 20, double minMatchDistance = 1.0, int padX = 3, int padY = 3, int scales = 5, double minScale = 0.6, double maxScale = 1.6, double orientationWeight = 0.5, double truncate = 20) private static native int chamerMatching_0(long img_nativeObj, long templ_nativeObj, long results_mat_nativeObj, long cost_mat_nativeObj, double templScale, int maxMatches, double minMatchDistance, int padX, int padY, int scales, double minScale, double maxScale, double orientationWeight, double truncate); private static native int chamerMatching_1(long img_nativeObj, long templ_nativeObj, long results_mat_nativeObj, long cost_mat_nativeObj); }