//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.objdetect;
import org.opencv.core.Mat;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfRect;
import org.opencv.core.Scalar;
import org.opencv.utils.Converters;
import java.util.List;
// C++: class Objdetect
public class Objdetect {
// C++: enum <unnamed>
public static final int
CASCADE_DO_CANNY_PRUNING = 1,
CASCADE_SCALE_IMAGE = 2,
CASCADE_FIND_BIGGEST_OBJECT = 4,
CASCADE_DO_ROUGH_SEARCH = 8;
// C++: enum ObjectStatus (cv.DetectionBasedTracker.ObjectStatus)
public static final int
DetectionBasedTracker_DETECTED_NOT_SHOWN_YET = 0,
DetectionBasedTracker_DETECTED = 1,
DetectionBasedTracker_DETECTED_TEMPORARY_LOST = 2,
DetectionBasedTracker_WRONG_OBJECT = 3;
// C++: enum CornerRefineMethod (cv.aruco.CornerRefineMethod)
public static final int
CORNER_REFINE_NONE = 0,
CORNER_REFINE_SUBPIX = 1,
CORNER_REFINE_CONTOUR = 2,
CORNER_REFINE_APRILTAG = 3;
// C++: enum PredefinedDictionaryType (cv.aruco.PredefinedDictionaryType)
public static final int
DICT_4X4_50 = 0,
DICT_4X4_100 = 0+1,
DICT_4X4_250 = 0+2,
DICT_4X4_1000 = 0+3,
DICT_5X5_50 = 0+4,
DICT_5X5_100 = 0+5,
DICT_5X5_250 = 0+6,
DICT_5X5_1000 = 0+7,
DICT_6X6_50 = 0+8,
DICT_6X6_100 = 0+9,
DICT_6X6_250 = 0+10,
DICT_6X6_1000 = 0+11,
DICT_7X7_50 = 0+12,
DICT_7X7_100 = 0+13,
DICT_7X7_250 = 0+14,
DICT_7X7_1000 = 0+15,
DICT_ARUCO_ORIGINAL = 0+16,
DICT_APRILTAG_16h5 = 0+17,
DICT_APRILTAG_25h9 = 0+18,
DICT_APRILTAG_36h10 = 0+19,
DICT_APRILTAG_36h11 = 0+20,
DICT_ARUCO_MIP_36h12 = 0+21;
//
// C++: void cv::groupRectangles(vector_Rect& rectList, vector_int& weights, int groupThreshold, double eps = 0.2)
//
public static void groupRectangles(MatOfRect rectList, MatOfInt weights, int groupThreshold, double eps) {
Mat rectList_mat = rectList;
Mat weights_mat = weights;
groupRectangles_0(rectList_mat.nativeObj, weights_mat.nativeObj, groupThreshold, eps);
}
public static void groupRectangles(MatOfRect rectList, MatOfInt weights, int groupThreshold) {
Mat rectList_mat = rectList;
Mat weights_mat = weights;
groupRectangles_1(rectList_mat.nativeObj, weights_mat.nativeObj, groupThreshold);
}
//
// C++: void cv::aruco::drawDetectedMarkers(Mat& image, vector_Mat corners, Mat ids = Mat(), Scalar borderColor = Scalar(0, 255, 0))
//
/**
* Draw detected markers in image
*
* @param image input/output image. It must have 1 or 3 channels. The number of channels is not altered.
* @param corners positions of marker corners on input image.
* (e.g std::vector<std::vector<cv::Point2f> > ). For N detected markers, the dimensions of
* this array should be Nx4. The order of the corners should be clockwise.
* @param ids vector of identifiers for markers in markersCorners .
* Optional, if not provided, ids are not painted.
* @param borderColor color of marker borders. Rest of colors (text color and first corner color)
* are calculated based on this one to improve visualization.
*
* Given an array of detected marker corners and its corresponding ids, this functions draws
* the markers in the image. The marker borders are painted and the markers identifiers if provided.
* Useful for debugging purposes.
*/
public static void drawDetectedMarkers(Mat image, List<Mat> corners, Mat ids, Scalar borderColor) {
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
drawDetectedMarkers_0(image.nativeObj, corners_mat.nativeObj, ids.nativeObj, borderColor.val[0], borderColor.val[1], borderColor.val[2], borderColor.val[3]);
}
/**
* Draw detected markers in image
*
* @param image input/output image. It must have 1 or 3 channels. The number of channels is not altered.
* @param corners positions of marker corners on input image.
* (e.g std::vector<std::vector<cv::Point2f> > ). For N detected markers, the dimensions of
* this array should be Nx4. The order of the corners should be clockwise.
* @param ids vector of identifiers for markers in markersCorners .
* Optional, if not provided, ids are not painted.
* are calculated based on this one to improve visualization.
*
* Given an array of detected marker corners and its corresponding ids, this functions draws
* the markers in the image. The marker borders are painted and the markers identifiers if provided.
* Useful for debugging purposes.
*/
public static void drawDetectedMarkers(Mat image, List<Mat> corners, Mat ids) {
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
drawDetectedMarkers_1(image.nativeObj, corners_mat.nativeObj, ids.nativeObj);
}
/**
* Draw detected markers in image
*
* @param image input/output image. It must have 1 or 3 channels. The number of channels is not altered.
* @param corners positions of marker corners on input image.
* (e.g std::vector<std::vector<cv::Point2f> > ). For N detected markers, the dimensions of
* this array should be Nx4. The order of the corners should be clockwise.
* Optional, if not provided, ids are not painted.
* are calculated based on this one to improve visualization.
*
* Given an array of detected marker corners and its corresponding ids, this functions draws
* the markers in the image. The marker borders are painted and the markers identifiers if provided.
* Useful for debugging purposes.
*/
public static void drawDetectedMarkers(Mat image, List<Mat> corners) {
Mat corners_mat = Converters.vector_Mat_to_Mat(corners);
drawDetectedMarkers_2(image.nativeObj, corners_mat.nativeObj);
}
//
// C++: void cv::aruco::generateImageMarker(Dictionary dictionary, int id, int sidePixels, Mat& img, int borderBits = 1)
//
/**
* Generate a canonical marker image
*
* @param dictionary dictionary of markers indicating the type of markers
* @param id identifier of the marker that will be returned. It has to be a valid id in the specified dictionary.
* @param sidePixels size of the image in pixels
* @param img output image with the marker
* @param borderBits width of the marker border.
*
* This function returns a marker image in its canonical form (i.e. ready to be printed)
*/
public static void generateImageMarker(Dictionary dictionary, int id, int sidePixels, Mat img, int borderBits) {
generateImageMarker_0(dictionary.nativeObj, id, sidePixels, img.nativeObj, borderBits);
}
/**
* Generate a canonical marker image
*
* @param dictionary dictionary of markers indicating the type of markers
* @param id identifier of the marker that will be returned. It has to be a valid id in the specified dictionary.
* @param sidePixels size of the image in pixels
* @param img output image with the marker
*
* This function returns a marker image in its canonical form (i.e. ready to be printed)
*/
public static void generateImageMarker(Dictionary dictionary, int id, int sidePixels, Mat img) {
generateImageMarker_1(dictionary.nativeObj, id, sidePixels, img.nativeObj);
}
//
// C++: void cv::aruco::drawDetectedCornersCharuco(Mat& image, Mat charucoCorners, Mat charucoIds = Mat(), Scalar cornerColor = Scalar(255, 0, 0))
//
/**
* Draws a set of Charuco corners
* @param image input/output image. It must have 1 or 3 channels. The number of channels is not
* altered.
* @param charucoCorners vector of detected charuco corners
* @param charucoIds list of identifiers for each corner in charucoCorners
* @param cornerColor color of the square surrounding each corner
*
* This function draws a set of detected Charuco corners. If identifiers vector is provided, it also
* draws the id of each corner.
*/
public static void drawDetectedCornersCharuco(Mat image, Mat charucoCorners, Mat charucoIds, Scalar cornerColor) {
drawDetectedCornersCharuco_0(image.nativeObj, charucoCorners.nativeObj, charucoIds.nativeObj, cornerColor.val[0], cornerColor.val[1], cornerColor.val[2], cornerColor.val[3]);
}
/**
* Draws a set of Charuco corners
* @param image input/output image. It must have 1 or 3 channels. The number of channels is not
* altered.
* @param charucoCorners vector of detected charuco corners
* @param charucoIds list of identifiers for each corner in charucoCorners
*
* This function draws a set of detected Charuco corners. If identifiers vector is provided, it also
* draws the id of each corner.
*/
public static void drawDetectedCornersCharuco(Mat image, Mat charucoCorners, Mat charucoIds) {
drawDetectedCornersCharuco_1(image.nativeObj, charucoCorners.nativeObj, charucoIds.nativeObj);
}
/**
* Draws a set of Charuco corners
* @param image input/output image. It must have 1 or 3 channels. The number of channels is not
* altered.
* @param charucoCorners vector of detected charuco corners
*
* This function draws a set of detected Charuco corners. If identifiers vector is provided, it also
* draws the id of each corner.
*/
public static void drawDetectedCornersCharuco(Mat image, Mat charucoCorners) {
drawDetectedCornersCharuco_2(image.nativeObj, charucoCorners.nativeObj);
}
//
// C++: void cv::aruco::drawDetectedDiamonds(Mat& image, vector_Mat diamondCorners, Mat diamondIds = Mat(), Scalar borderColor = Scalar(0, 0, 255))
//
/**
* Draw a set of detected ChArUco Diamond markers
*
* @param image input/output image. It must have 1 or 3 channels. The number of channels is not
* altered.
* @param diamondCorners positions of diamond corners in the same format returned by
* detectCharucoDiamond(). (e.g std::vector<std::vector<cv::Point2f> > ). For N detected markers,
* the dimensions of this array should be Nx4. The order of the corners should be clockwise.
* @param diamondIds vector of identifiers for diamonds in diamondCorners, in the same format
* returned by detectCharucoDiamond() (e.g. std::vector<Vec4i>).
* Optional, if not provided, ids are not painted.
* @param borderColor color of marker borders. Rest of colors (text color and first corner color)
* are calculated based on this one.
*
* Given an array of detected diamonds, this functions draws them in the image. The marker borders
* are painted and the markers identifiers if provided.
* Useful for debugging purposes.
*/
public static void drawDetectedDiamonds(Mat image, List<Mat> diamondCorners, Mat diamondIds, Scalar borderColor) {
Mat diamondCorners_mat = Converters.vector_Mat_to_Mat(diamondCorners);
drawDetectedDiamonds_0(image.nativeObj, diamondCorners_mat.nativeObj, diamondIds.nativeObj, borderColor.val[0], borderColor.val[1], borderColor.val[2], borderColor.val[3]);
}
/**
* Draw a set of detected ChArUco Diamond markers
*
* @param image input/output image. It must have 1 or 3 channels. The number of channels is not
* altered.
* @param diamondCorners positions of diamond corners in the same format returned by
* detectCharucoDiamond(). (e.g std::vector<std::vector<cv::Point2f> > ). For N detected markers,
* the dimensions of this array should be Nx4. The order of the corners should be clockwise.
* @param diamondIds vector of identifiers for diamonds in diamondCorners, in the same format
* returned by detectCharucoDiamond() (e.g. std::vector<Vec4i>).
* Optional, if not provided, ids are not painted.
* are calculated based on this one.
*
* Given an array of detected diamonds, this functions draws them in the image. The marker borders
* are painted and the markers identifiers if provided.
* Useful for debugging purposes.
*/
public static void drawDetectedDiamonds(Mat image, List<Mat> diamondCorners, Mat diamondIds) {
Mat diamondCorners_mat = Converters.vector_Mat_to_Mat(diamondCorners);
drawDetectedDiamonds_1(image.nativeObj, diamondCorners_mat.nativeObj, diamondIds.nativeObj);
}
/**
* Draw a set of detected ChArUco Diamond markers
*
* @param image input/output image. It must have 1 or 3 channels. The number of channels is not
* altered.
* @param diamondCorners positions of diamond corners in the same format returned by
* detectCharucoDiamond(). (e.g std::vector<std::vector<cv::Point2f> > ). For N detected markers,
* the dimensions of this array should be Nx4. The order of the corners should be clockwise.
* returned by detectCharucoDiamond() (e.g. std::vector<Vec4i>).
* Optional, if not provided, ids are not painted.
* are calculated based on this one.
*
* Given an array of detected diamonds, this functions draws them in the image. The marker borders
* are painted and the markers identifiers if provided.
* Useful for debugging purposes.
*/
public static void drawDetectedDiamonds(Mat image, List<Mat> diamondCorners) {
Mat diamondCorners_mat = Converters.vector_Mat_to_Mat(diamondCorners);
drawDetectedDiamonds_2(image.nativeObj, diamondCorners_mat.nativeObj);
}
//
// C++: Dictionary cv::aruco::getPredefinedDictionary(int dict)
//
/**
* Returns one of the predefined dictionaries referenced by DICT_*.
* @param dict automatically generated
* @return automatically generated
*/
public static Dictionary getPredefinedDictionary(int dict) {
return new Dictionary(getPredefinedDictionary_0(dict));
}
//
// C++: Dictionary cv::aruco::extendDictionary(int nMarkers, int markerSize, Dictionary baseDictionary = Dictionary(), int randomSeed = 0)
//
/**
* Extend base dictionary by new nMarkers
*
* @param nMarkers number of markers in the dictionary
* @param markerSize number of bits per dimension of each markers
* @param baseDictionary Include the markers in this dictionary at the beginning (optional)
* @param randomSeed a user supplied seed for theRNG()
*
* This function creates a new dictionary composed by nMarkers markers and each markers composed
* by markerSize x markerSize bits. If baseDictionary is provided, its markers are directly
* included and the rest are generated based on them. If the size of baseDictionary is higher
* than nMarkers, only the first nMarkers in baseDictionary are taken and no new marker is added.
* @return automatically generated
*/
public static Dictionary extendDictionary(int nMarkers, int markerSize, Dictionary baseDictionary, int randomSeed) {
return new Dictionary(extendDictionary_0(nMarkers, markerSize, baseDictionary.nativeObj, randomSeed));
}
/**
* Extend base dictionary by new nMarkers
*
* @param nMarkers number of markers in the dictionary
* @param markerSize number of bits per dimension of each markers
* @param baseDictionary Include the markers in this dictionary at the beginning (optional)
*
* This function creates a new dictionary composed by nMarkers markers and each markers composed
* by markerSize x markerSize bits. If baseDictionary is provided, its markers are directly
* included and the rest are generated based on them. If the size of baseDictionary is higher
* than nMarkers, only the first nMarkers in baseDictionary are taken and no new marker is added.
* @return automatically generated
*/
public static Dictionary extendDictionary(int nMarkers, int markerSize, Dictionary baseDictionary) {
return new Dictionary(extendDictionary_1(nMarkers, markerSize, baseDictionary.nativeObj));
}
/**
* Extend base dictionary by new nMarkers
*
* @param nMarkers number of markers in the dictionary
* @param markerSize number of bits per dimension of each markers
*
* This function creates a new dictionary composed by nMarkers markers and each markers composed
* by markerSize x markerSize bits. If baseDictionary is provided, its markers are directly
* included and the rest are generated based on them. If the size of baseDictionary is higher
* than nMarkers, only the first nMarkers in baseDictionary are taken and no new marker is added.
* @return automatically generated
*/
public static Dictionary extendDictionary(int nMarkers, int markerSize) {
return new Dictionary(extendDictionary_2(nMarkers, markerSize));
}
// C++: void cv::groupRectangles(vector_Rect& rectList, vector_int& weights, int groupThreshold, double eps = 0.2)
private static native void groupRectangles_0(long rectList_mat_nativeObj, long weights_mat_nativeObj, int groupThreshold, double eps);
private static native void groupRectangles_1(long rectList_mat_nativeObj, long weights_mat_nativeObj, int groupThreshold);
// C++: void cv::aruco::drawDetectedMarkers(Mat& image, vector_Mat corners, Mat ids = Mat(), Scalar borderColor = Scalar(0, 255, 0))
private static native void drawDetectedMarkers_0(long image_nativeObj, long corners_mat_nativeObj, long ids_nativeObj, double borderColor_val0, double borderColor_val1, double borderColor_val2, double borderColor_val3);
private static native void drawDetectedMarkers_1(long image_nativeObj, long corners_mat_nativeObj, long ids_nativeObj);
private static native void drawDetectedMarkers_2(long image_nativeObj, long corners_mat_nativeObj);
// C++: void cv::aruco::generateImageMarker(Dictionary dictionary, int id, int sidePixels, Mat& img, int borderBits = 1)
private static native void generateImageMarker_0(long dictionary_nativeObj, int id, int sidePixels, long img_nativeObj, int borderBits);
private static native void generateImageMarker_1(long dictionary_nativeObj, int id, int sidePixels, long img_nativeObj);
// C++: void cv::aruco::drawDetectedCornersCharuco(Mat& image, Mat charucoCorners, Mat charucoIds = Mat(), Scalar cornerColor = Scalar(255, 0, 0))
private static native void drawDetectedCornersCharuco_0(long image_nativeObj, long charucoCorners_nativeObj, long charucoIds_nativeObj, double cornerColor_val0, double cornerColor_val1, double cornerColor_val2, double cornerColor_val3);
private static native void drawDetectedCornersCharuco_1(long image_nativeObj, long charucoCorners_nativeObj, long charucoIds_nativeObj);
private static native void drawDetectedCornersCharuco_2(long image_nativeObj, long charucoCorners_nativeObj);
// C++: void cv::aruco::drawDetectedDiamonds(Mat& image, vector_Mat diamondCorners, Mat diamondIds = Mat(), Scalar borderColor = Scalar(0, 0, 255))
private static native void drawDetectedDiamonds_0(long image_nativeObj, long diamondCorners_mat_nativeObj, long diamondIds_nativeObj, double borderColor_val0, double borderColor_val1, double borderColor_val2, double borderColor_val3);
private static native void drawDetectedDiamonds_1(long image_nativeObj, long diamondCorners_mat_nativeObj, long diamondIds_nativeObj);
private static native void drawDetectedDiamonds_2(long image_nativeObj, long diamondCorners_mat_nativeObj);
// C++: Dictionary cv::aruco::getPredefinedDictionary(int dict)
private static native long getPredefinedDictionary_0(int dict);
// C++: Dictionary cv::aruco::extendDictionary(int nMarkers, int markerSize, Dictionary baseDictionary = Dictionary(), int randomSeed = 0)
private static native long extendDictionary_0(int nMarkers, int markerSize, long baseDictionary_nativeObj, int randomSeed);
private static native long extendDictionary_1(int nMarkers, int markerSize, long baseDictionary_nativeObj);
private static native long extendDictionary_2(int nMarkers, int markerSize);
}
