//
// This file is auto-generated. Please don't modify it!
//
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);
}