| Modifier and Type | Method and Description |
|---|---|
static Mat |
Utils.loadResource(android.content.Context context,
int resourceId) |
static Mat |
Utils.loadResource(android.content.Context context,
int resourceId,
int flags) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Utils.bitmapToMat(android.graphics.Bitmap bmp,
Mat mat)
Short form of the bitmapToMat(bmp, mat, unPremultiplyAlpha=false).
|
static void |
Utils.bitmapToMat(android.graphics.Bitmap bmp,
Mat mat,
boolean unPremultiplyAlpha)
Converts Android Bitmap to OpenCV Mat.
|
static void |
Utils.matToBitmap(Mat mat,
android.graphics.Bitmap bmp)
Short form of the matToBitmap(mat, bmp, premultiplyAlpha=false)
|
static void |
Utils.matToBitmap(Mat mat,
android.graphics.Bitmap bmp,
boolean premultiplyAlpha)
Converts OpenCV Mat to Android Bitmap.
|
| Modifier and Type | Method and Description |
|---|---|
Mat |
Dictionary.get_bytesList() |
static Mat |
Dictionary.getBitsFromByteList(Mat byteList,
int markerSize) |
static Mat |
Dictionary.getByteListFromBits(Mat bits) |
| Modifier and Type | Method and Description |
|---|---|
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static Board |
Board.create(List<Mat> objPoints,
Dictionary dictionary,
Mat ids) |
static void |
Aruco.detectCharucoDiamond(Mat image,
List<Mat> markerCorners,
Mat markerIds,
float squareMarkerLengthRate,
List<Mat> diamondCorners,
Mat diamondIds) |
static void |
Aruco.detectCharucoDiamond(Mat image,
List<Mat> markerCorners,
Mat markerIds,
float squareMarkerLengthRate,
List<Mat> diamondCorners,
Mat diamondIds,
Mat cameraMatrix) |
static void |
Aruco.detectCharucoDiamond(Mat image,
List<Mat> markerCorners,
Mat markerIds,
float squareMarkerLengthRate,
List<Mat> diamondCorners,
Mat diamondIds,
Mat cameraMatrix,
Mat distCoeffs) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters,
List<Mat> rejectedImgPoints) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters,
List<Mat> rejectedImgPoints,
Mat cameraMatrix) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters,
List<Mat> rejectedImgPoints,
Mat cameraMatrix,
Mat distCoeff) |
void |
GridBoard.draw(Size outSize,
Mat img) |
void |
CharucoBoard.draw(Size outSize,
Mat img) |
void |
GridBoard.draw(Size outSize,
Mat img,
int marginSize) |
void |
CharucoBoard.draw(Size outSize,
Mat img,
int marginSize) |
void |
GridBoard.draw(Size outSize,
Mat img,
int marginSize,
int borderBits) |
void |
CharucoBoard.draw(Size outSize,
Mat img,
int marginSize,
int borderBits) |
static void |
Aruco.drawAxis(Mat image,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvec,
Mat tvec,
float length) |
static void |
Aruco.drawDetectedCornersCharuco(Mat image,
Mat charucoCorners) |
static void |
Aruco.drawDetectedCornersCharuco(Mat image,
Mat charucoCorners,
Mat charucoIds) |
static void |
Aruco.drawDetectedCornersCharuco(Mat image,
Mat charucoCorners,
Mat charucoIds,
Scalar cornerColor) |
static void |
Aruco.drawDetectedDiamonds(Mat image,
List<Mat> diamondCorners) |
static void |
Aruco.drawDetectedDiamonds(Mat image,
List<Mat> diamondCorners,
Mat diamondIds) |
static void |
Aruco.drawDetectedDiamonds(Mat image,
List<Mat> diamondCorners,
Mat diamondIds,
Scalar borderColor) |
static void |
Aruco.drawDetectedMarkers(Mat image,
List<Mat> corners) |
static void |
Aruco.drawDetectedMarkers(Mat image,
List<Mat> corners,
Mat ids) |
static void |
Aruco.drawDetectedMarkers(Mat image,
List<Mat> corners,
Mat ids,
Scalar borderColor) |
static void |
Aruco.drawMarker(Dictionary dictionary,
int id,
int sidePixels,
Mat img) |
static void |
Aruco.drawMarker(Dictionary dictionary,
int id,
int sidePixels,
Mat img,
int borderBits) |
void |
Dictionary.drawMarker(int id,
int sidePixels,
Mat _img) |
void |
Dictionary.drawMarker(int id,
int sidePixels,
Mat _img,
int borderBits) |
static void |
Aruco.drawPlanarBoard(Board board,
Size outSize,
Mat img) |
static void |
Aruco.drawPlanarBoard(Board board,
Size outSize,
Mat img,
int marginSize) |
static void |
Aruco.drawPlanarBoard(Board board,
Size outSize,
Mat img,
int marginSize,
int borderBits) |
static int |
Aruco.estimatePoseBoard(List<Mat> corners,
Mat ids,
Board board,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvec,
Mat tvec) |
static int |
Aruco.estimatePoseBoard(List<Mat> corners,
Mat ids,
Board board,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess) |
static boolean |
Aruco.estimatePoseCharucoBoard(Mat charucoCorners,
Mat charucoIds,
CharucoBoard board,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvec,
Mat tvec) |
static boolean |
Aruco.estimatePoseCharucoBoard(Mat charucoCorners,
Mat charucoIds,
CharucoBoard board,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess) |
static void |
Aruco.estimatePoseSingleMarkers(List<Mat> corners,
float markerLength,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvecs,
Mat tvecs) |
static void |
Aruco.estimatePoseSingleMarkers(List<Mat> corners,
float markerLength,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvecs,
Mat tvecs,
Mat _objPoints) |
static Mat |
Dictionary.getBitsFromByteList(Mat byteList,
int markerSize) |
static void |
Aruco.getBoardObjectAndImagePoints(Board board,
List<Mat> detectedCorners,
Mat detectedIds,
Mat objPoints,
Mat imgPoints) |
static Mat |
Dictionary.getByteListFromBits(Mat bits) |
static int |
Aruco.interpolateCornersCharuco(List<Mat> markerCorners,
Mat markerIds,
Mat image,
CharucoBoard board,
Mat charucoCorners,
Mat charucoIds) |
static int |
Aruco.interpolateCornersCharuco(List<Mat> markerCorners,
Mat markerIds,
Mat image,
CharucoBoard board,
Mat charucoCorners,
Mat charucoIds,
Mat cameraMatrix) |
static int |
Aruco.interpolateCornersCharuco(List<Mat> markerCorners,
Mat markerIds,
Mat image,
CharucoBoard board,
Mat charucoCorners,
Mat charucoIds,
Mat cameraMatrix,
Mat distCoeffs) |
static int |
Aruco.interpolateCornersCharuco(List<Mat> markerCorners,
Mat markerIds,
Mat image,
CharucoBoard board,
Mat charucoCorners,
Mat charucoIds,
Mat cameraMatrix,
Mat distCoeffs,
int minMarkers) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate,
boolean checkAllOrders) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate,
boolean checkAllOrders,
Mat recoveredIdxs) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate,
boolean checkAllOrders,
Mat recoveredIdxs,
DetectorParameters parameters) |
void |
Dictionary.set_bytesList(Mat bytesList) |
| Modifier and Type | Method and Description |
|---|---|
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraAruco(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraArucoExtended(List<Mat> corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraCharuco(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Aruco.calibrateCameraCharucoExtended(List<Mat> charucoCorners,
List<Mat> charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static Board |
Board.create(List<Mat> objPoints,
Dictionary dictionary,
Mat ids) |
static void |
Aruco.detectCharucoDiamond(Mat image,
List<Mat> markerCorners,
Mat markerIds,
float squareMarkerLengthRate,
List<Mat> diamondCorners,
Mat diamondIds) |
static void |
Aruco.detectCharucoDiamond(Mat image,
List<Mat> markerCorners,
Mat markerIds,
float squareMarkerLengthRate,
List<Mat> diamondCorners,
Mat diamondIds) |
static void |
Aruco.detectCharucoDiamond(Mat image,
List<Mat> markerCorners,
Mat markerIds,
float squareMarkerLengthRate,
List<Mat> diamondCorners,
Mat diamondIds,
Mat cameraMatrix) |
static void |
Aruco.detectCharucoDiamond(Mat image,
List<Mat> markerCorners,
Mat markerIds,
float squareMarkerLengthRate,
List<Mat> diamondCorners,
Mat diamondIds,
Mat cameraMatrix) |
static void |
Aruco.detectCharucoDiamond(Mat image,
List<Mat> markerCorners,
Mat markerIds,
float squareMarkerLengthRate,
List<Mat> diamondCorners,
Mat diamondIds,
Mat cameraMatrix,
Mat distCoeffs) |
static void |
Aruco.detectCharucoDiamond(Mat image,
List<Mat> markerCorners,
Mat markerIds,
float squareMarkerLengthRate,
List<Mat> diamondCorners,
Mat diamondIds,
Mat cameraMatrix,
Mat distCoeffs) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters,
List<Mat> rejectedImgPoints) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters,
List<Mat> rejectedImgPoints) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters,
List<Mat> rejectedImgPoints,
Mat cameraMatrix) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters,
List<Mat> rejectedImgPoints,
Mat cameraMatrix) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters,
List<Mat> rejectedImgPoints,
Mat cameraMatrix,
Mat distCoeff) |
static void |
Aruco.detectMarkers(Mat image,
Dictionary dictionary,
List<Mat> corners,
Mat ids,
DetectorParameters parameters,
List<Mat> rejectedImgPoints,
Mat cameraMatrix,
Mat distCoeff) |
static void |
Aruco.drawDetectedDiamonds(Mat image,
List<Mat> diamondCorners) |
static void |
Aruco.drawDetectedDiamonds(Mat image,
List<Mat> diamondCorners,
Mat diamondIds) |
static void |
Aruco.drawDetectedDiamonds(Mat image,
List<Mat> diamondCorners,
Mat diamondIds,
Scalar borderColor) |
static void |
Aruco.drawDetectedMarkers(Mat image,
List<Mat> corners) |
static void |
Aruco.drawDetectedMarkers(Mat image,
List<Mat> corners,
Mat ids) |
static void |
Aruco.drawDetectedMarkers(Mat image,
List<Mat> corners,
Mat ids,
Scalar borderColor) |
static int |
Aruco.estimatePoseBoard(List<Mat> corners,
Mat ids,
Board board,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvec,
Mat tvec) |
static int |
Aruco.estimatePoseBoard(List<Mat> corners,
Mat ids,
Board board,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess) |
static void |
Aruco.estimatePoseSingleMarkers(List<Mat> corners,
float markerLength,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvecs,
Mat tvecs) |
static void |
Aruco.estimatePoseSingleMarkers(List<Mat> corners,
float markerLength,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvecs,
Mat tvecs,
Mat _objPoints) |
static void |
Aruco.getBoardObjectAndImagePoints(Board board,
List<Mat> detectedCorners,
Mat detectedIds,
Mat objPoints,
Mat imgPoints) |
static int |
Aruco.interpolateCornersCharuco(List<Mat> markerCorners,
Mat markerIds,
Mat image,
CharucoBoard board,
Mat charucoCorners,
Mat charucoIds) |
static int |
Aruco.interpolateCornersCharuco(List<Mat> markerCorners,
Mat markerIds,
Mat image,
CharucoBoard board,
Mat charucoCorners,
Mat charucoIds,
Mat cameraMatrix) |
static int |
Aruco.interpolateCornersCharuco(List<Mat> markerCorners,
Mat markerIds,
Mat image,
CharucoBoard board,
Mat charucoCorners,
Mat charucoIds,
Mat cameraMatrix,
Mat distCoeffs) |
static int |
Aruco.interpolateCornersCharuco(List<Mat> markerCorners,
Mat markerIds,
Mat image,
CharucoBoard board,
Mat charucoCorners,
Mat charucoIds,
Mat cameraMatrix,
Mat distCoeffs,
int minMarkers) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate,
boolean checkAllOrders) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate,
boolean checkAllOrders) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate,
boolean checkAllOrders,
Mat recoveredIdxs) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate,
boolean checkAllOrders,
Mat recoveredIdxs) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate,
boolean checkAllOrders,
Mat recoveredIdxs,
DetectorParameters parameters) |
static void |
Aruco.refineDetectedMarkers(Mat image,
Board board,
List<Mat> detectedCorners,
Mat detectedIds,
List<Mat> rejectedCorners,
Mat cameraMatrix,
Mat distCoeffs,
float minRepDistance,
float errorCorrectionRate,
boolean checkAllOrders,
Mat recoveredIdxs,
DetectorParameters parameters) |
| Modifier and Type | Method and Description |
|---|---|
void |
BackgroundSubtractorGSOC.apply(Mat image,
Mat fgmask) |
void |
BackgroundSubtractorLSBP.apply(Mat image,
Mat fgmask) |
void |
BackgroundSubtractorCNT.apply(Mat image,
Mat fgmask) |
void |
BackgroundSubtractorGSOC.apply(Mat image,
Mat fgmask,
double learningRate) |
void |
BackgroundSubtractorLSBP.apply(Mat image,
Mat fgmask,
double learningRate) |
void |
BackgroundSubtractorCNT.apply(Mat image,
Mat fgmask,
double learningRate) |
static SyntheticSequenceGenerator |
Bgsegm.createSyntheticSequenceGenerator(Mat background,
Mat object) |
static SyntheticSequenceGenerator |
Bgsegm.createSyntheticSequenceGenerator(Mat background,
Mat object,
double amplitude) |
static SyntheticSequenceGenerator |
Bgsegm.createSyntheticSequenceGenerator(Mat background,
Mat object,
double amplitude,
double wavelength) |
static SyntheticSequenceGenerator |
Bgsegm.createSyntheticSequenceGenerator(Mat background,
Mat object,
double amplitude,
double wavelength,
double wavespeed) |
static SyntheticSequenceGenerator |
Bgsegm.createSyntheticSequenceGenerator(Mat background,
Mat object,
double amplitude,
double wavelength,
double wavespeed,
double objspeed) |
void |
BackgroundSubtractorGSOC.getBackgroundImage(Mat backgroundImage) |
void |
BackgroundSubtractorLSBP.getBackgroundImage(Mat backgroundImage) |
void |
BackgroundSubtractorCNT.getBackgroundImage(Mat backgroundImage) |
void |
SyntheticSequenceGenerator.getNextFrame(Mat frame,
Mat gtMask) |
| Constructor and Description |
|---|
SyntheticSequenceGenerator(Mat background,
Mat object,
double amplitude,
double wavelength,
double wavespeed,
double objspeed) |
| Modifier and Type | Method and Description |
|---|---|
Mat |
Retina.getMagnoRAW() |
Mat |
Retina.getParvoRAW() |
| Modifier and Type | Method and Description |
|---|---|
void |
RetinaFastToneMapping.applyFastToneMapping(Mat inputImage,
Mat outputToneMappedImage) |
void |
Retina.applyFastToneMapping(Mat inputImage,
Mat outputToneMappedImage) |
void |
Retina.getMagno(Mat retinaOutput_magno) |
void |
Retina.getMagnoRAW(Mat retinaOutput_magno) |
void |
Retina.getParvo(Mat retinaOutput_parvo) |
void |
Retina.getParvoRAW(Mat retinaOutput_parvo) |
void |
TransientAreasSegmentationModule.getSegmentationPicture(Mat transientAreas) |
void |
Retina.run(Mat inputImage) |
void |
TransientAreasSegmentationModule.run(Mat inputToSegment) |
void |
TransientAreasSegmentationModule.run(Mat inputToSegment,
int channelIndex) |
| Modifier and Type | Method and Description |
|---|---|
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers,
int method) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters,
double confidence) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters,
double confidence,
long refineIters) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers,
int method) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters,
double confidence) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters,
double confidence,
long refineIters) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal,
Point pp) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal,
Point pp,
int method) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal,
Point pp,
int method,
double prob) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal,
Point pp,
int method,
double prob,
double threshold) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal,
Point pp,
int method,
double prob,
double threshold,
Mat mask) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
Mat cameraMatrix) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
Mat cameraMatrix,
int method) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
Mat cameraMatrix,
int method,
double prob) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
Mat cameraMatrix,
int method,
double prob,
double threshold) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
Mat cameraMatrix,
int method,
double prob,
double threshold,
Mat mask) |
static Mat |
Calib3d.findFundamentalMat(MatOfPoint2f points1,
MatOfPoint2f points2) |
static Mat |
Calib3d.findFundamentalMat(MatOfPoint2f points1,
MatOfPoint2f points2,
int method) |
static Mat |
Calib3d.findFundamentalMat(MatOfPoint2f points1,
MatOfPoint2f points2,
int method,
double ransacReprojThreshold) |
static Mat |
Calib3d.findFundamentalMat(MatOfPoint2f points1,
MatOfPoint2f points2,
int method,
double ransacReprojThreshold,
double confidence) |
static Mat |
Calib3d.findFundamentalMat(MatOfPoint2f points1,
MatOfPoint2f points2,
int method,
double ransacReprojThreshold,
double confidence,
Mat mask) |
static Mat |
Calib3d.findHomography(MatOfPoint2f srcPoints,
MatOfPoint2f dstPoints) |
static Mat |
Calib3d.findHomography(MatOfPoint2f srcPoints,
MatOfPoint2f dstPoints,
int method) |
static Mat |
Calib3d.findHomography(MatOfPoint2f srcPoints,
MatOfPoint2f dstPoints,
int method,
double ransacReprojThreshold) |
static Mat |
Calib3d.findHomography(MatOfPoint2f srcPoints,
MatOfPoint2f dstPoints,
int method,
double ransacReprojThreshold,
Mat mask) |
static Mat |
Calib3d.findHomography(MatOfPoint2f srcPoints,
MatOfPoint2f dstPoints,
int method,
double ransacReprojThreshold,
Mat mask,
int maxIters) |
static Mat |
Calib3d.findHomography(MatOfPoint2f srcPoints,
MatOfPoint2f dstPoints,
int method,
double ransacReprojThreshold,
Mat mask,
int maxIters,
double confidence) |
static Mat |
Calib3d.getOptimalNewCameraMatrix(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
double alpha) |
static Mat |
Calib3d.getOptimalNewCameraMatrix(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
double alpha,
Size newImgSize) |
static Mat |
Calib3d.getOptimalNewCameraMatrix(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
double alpha,
Size newImgSize,
Rect validPixROI) |
static Mat |
Calib3d.getOptimalNewCameraMatrix(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
double alpha,
Size newImgSize,
Rect validPixROI,
boolean centerPrincipalPoint) |
static Mat |
Calib3d.initCameraMatrix2D(List<MatOfPoint3f> objectPoints,
List<MatOfPoint2f> imagePoints,
Size imageSize) |
static Mat |
Calib3d.initCameraMatrix2D(List<MatOfPoint3f> objectPoints,
List<MatOfPoint2f> imagePoints,
Size imageSize,
double aspectRatio) |
| Modifier and Type | Method and Description |
|---|---|
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static void |
Calib3d.calibrationMatrixValues(Mat cameraMatrix,
Size imageSize,
double apertureWidth,
double apertureHeight,
double[] fovx,
double[] fovy,
double[] focalLength,
Point principalPoint,
double[] aspectRatio) |
static void |
Calib3d.composeRT(Mat rvec1,
Mat tvec1,
Mat rvec2,
Mat tvec2,
Mat rvec3,
Mat tvec3) |
static void |
Calib3d.composeRT(Mat rvec1,
Mat tvec1,
Mat rvec2,
Mat tvec2,
Mat rvec3,
Mat tvec3,
Mat dr3dr1) |
static void |
Calib3d.composeRT(Mat rvec1,
Mat tvec1,
Mat rvec2,
Mat tvec2,
Mat rvec3,
Mat tvec3,
Mat dr3dr1,
Mat dr3dt1) |
static void |
Calib3d.composeRT(Mat rvec1,
Mat tvec1,
Mat rvec2,
Mat tvec2,
Mat rvec3,
Mat tvec3,
Mat dr3dr1,
Mat dr3dt1,
Mat dr3dr2) |
static void |
Calib3d.composeRT(Mat rvec1,
Mat tvec1,
Mat rvec2,
Mat tvec2,
Mat rvec3,
Mat tvec3,
Mat dr3dr1,
Mat dr3dt1,
Mat dr3dr2,
Mat dr3dt2) |
static void |
Calib3d.composeRT(Mat rvec1,
Mat tvec1,
Mat rvec2,
Mat tvec2,
Mat rvec3,
Mat tvec3,
Mat dr3dr1,
Mat dr3dt1,
Mat dr3dr2,
Mat dr3dt2,
Mat dt3dr1) |
static void |
Calib3d.composeRT(Mat rvec1,
Mat tvec1,
Mat rvec2,
Mat tvec2,
Mat rvec3,
Mat tvec3,
Mat dr3dr1,
Mat dr3dt1,
Mat dr3dr2,
Mat dr3dt2,
Mat dt3dr1,
Mat dt3dt1) |
static void |
Calib3d.composeRT(Mat rvec1,
Mat tvec1,
Mat rvec2,
Mat tvec2,
Mat rvec3,
Mat tvec3,
Mat dr3dr1,
Mat dr3dt1,
Mat dr3dr2,
Mat dr3dt2,
Mat dt3dr1,
Mat dt3dt1,
Mat dt3dr2) |
static void |
Calib3d.composeRT(Mat rvec1,
Mat tvec1,
Mat rvec2,
Mat tvec2,
Mat rvec3,
Mat tvec3,
Mat dr3dr1,
Mat dr3dt1,
Mat dr3dr2,
Mat dr3dt2,
Mat dt3dr1,
Mat dt3dt1,
Mat dt3dr2,
Mat dt3dt2) |
void |
StereoMatcher.compute(Mat left,
Mat right,
Mat disparity) |
static void |
Calib3d.computeCorrespondEpilines(Mat points,
int whichImage,
Mat F,
Mat lines) |
static void |
Calib3d.convertPointsFromHomogeneous(Mat src,
Mat dst) |
static void |
Calib3d.convertPointsToHomogeneous(Mat src,
Mat dst) |
static void |
Calib3d.correctMatches(Mat F,
Mat points1,
Mat points2,
Mat newPoints1,
Mat newPoints2) |
static void |
Calib3d.decomposeEssentialMat(Mat E,
Mat R1,
Mat R2,
Mat t) |
static int |
Calib3d.decomposeHomographyMat(Mat H,
Mat K,
List<Mat> rotations,
List<Mat> translations,
List<Mat> normals) |
static void |
Calib3d.decomposeProjectionMatrix(Mat projMatrix,
Mat cameraMatrix,
Mat rotMatrix,
Mat transVect) |
static void |
Calib3d.decomposeProjectionMatrix(Mat projMatrix,
Mat cameraMatrix,
Mat rotMatrix,
Mat transVect,
Mat rotMatrixX) |
static void |
Calib3d.decomposeProjectionMatrix(Mat projMatrix,
Mat cameraMatrix,
Mat rotMatrix,
Mat transVect,
Mat rotMatrixX,
Mat rotMatrixY) |
static void |
Calib3d.decomposeProjectionMatrix(Mat projMatrix,
Mat cameraMatrix,
Mat rotMatrix,
Mat transVect,
Mat rotMatrixX,
Mat rotMatrixY,
Mat rotMatrixZ) |
static void |
Calib3d.decomposeProjectionMatrix(Mat projMatrix,
Mat cameraMatrix,
Mat rotMatrix,
Mat transVect,
Mat rotMatrixX,
Mat rotMatrixY,
Mat rotMatrixZ,
Mat eulerAngles) |
static void |
Calib3d.drawChessboardCorners(Mat image,
Size patternSize,
MatOfPoint2f corners,
boolean patternWasFound) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers,
int method) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters,
double confidence) |
static Mat |
Calib3d.estimateAffine2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters,
double confidence,
long refineIters) |
static int |
Calib3d.estimateAffine3D(Mat src,
Mat dst,
Mat out,
Mat inliers) |
static int |
Calib3d.estimateAffine3D(Mat src,
Mat dst,
Mat out,
Mat inliers,
double ransacThreshold) |
static int |
Calib3d.estimateAffine3D(Mat src,
Mat dst,
Mat out,
Mat inliers,
double ransacThreshold,
double confidence) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers,
int method) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters,
double confidence) |
static Mat |
Calib3d.estimateAffinePartial2D(Mat from,
Mat to,
Mat inliers,
int method,
double ransacReprojThreshold,
long maxIters,
double confidence,
long refineIters) |
static void |
Calib3d.filterHomographyDecompByVisibleRefpoints(List<Mat> rotations,
List<Mat> normals,
Mat beforePoints,
Mat afterPoints,
Mat possibleSolutions) |
static void |
Calib3d.filterHomographyDecompByVisibleRefpoints(List<Mat> rotations,
List<Mat> normals,
Mat beforePoints,
Mat afterPoints,
Mat possibleSolutions,
Mat pointsMask) |
static void |
Calib3d.filterSpeckles(Mat img,
double newVal,
int maxSpeckleSize,
double maxDiff) |
static void |
Calib3d.filterSpeckles(Mat img,
double newVal,
int maxSpeckleSize,
double maxDiff,
Mat buf) |
static boolean |
Calib3d.findChessboardCorners(Mat image,
Size patternSize,
MatOfPoint2f corners) |
static boolean |
Calib3d.findChessboardCorners(Mat image,
Size patternSize,
MatOfPoint2f corners,
int flags) |
static boolean |
Calib3d.findCirclesGrid(Mat image,
Size patternSize,
Mat centers) |
static boolean |
Calib3d.findCirclesGrid(Mat image,
Size patternSize,
Mat centers,
int flags) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal,
Point pp) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal,
Point pp,
int method) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal,
Point pp,
int method,
double prob) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal,
Point pp,
int method,
double prob,
double threshold) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
double focal,
Point pp,
int method,
double prob,
double threshold,
Mat mask) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
Mat cameraMatrix) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
Mat cameraMatrix,
int method) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
Mat cameraMatrix,
int method,
double prob) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
Mat cameraMatrix,
int method,
double prob,
double threshold) |
static Mat |
Calib3d.findEssentialMat(Mat points1,
Mat points2,
Mat cameraMatrix,
int method,
double prob,
double threshold,
Mat mask) |
static Mat |
Calib3d.findFundamentalMat(MatOfPoint2f points1,
MatOfPoint2f points2,
int method,
double ransacReprojThreshold,
double confidence,
Mat mask) |
static Mat |
Calib3d.findHomography(MatOfPoint2f srcPoints,
MatOfPoint2f dstPoints,
int method,
double ransacReprojThreshold,
Mat mask) |
static Mat |
Calib3d.findHomography(MatOfPoint2f srcPoints,
MatOfPoint2f dstPoints,
int method,
double ransacReprojThreshold,
Mat mask,
int maxIters) |
static Mat |
Calib3d.findHomography(MatOfPoint2f srcPoints,
MatOfPoint2f dstPoints,
int method,
double ransacReprojThreshold,
Mat mask,
int maxIters,
double confidence) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static void |
Calib3d.fisheye_distortPoints(Mat undistorted,
Mat distorted,
Mat K,
Mat D) |
static void |
Calib3d.fisheye_distortPoints(Mat undistorted,
Mat distorted,
Mat K,
Mat D,
double alpha) |
static void |
Calib3d.fisheye_estimateNewCameraMatrixForUndistortRectify(Mat K,
Mat D,
Size image_size,
Mat R,
Mat P) |
static void |
Calib3d.fisheye_estimateNewCameraMatrixForUndistortRectify(Mat K,
Mat D,
Size image_size,
Mat R,
Mat P,
double balance) |
static void |
Calib3d.fisheye_estimateNewCameraMatrixForUndistortRectify(Mat K,
Mat D,
Size image_size,
Mat R,
Mat P,
double balance,
Size new_size) |
static void |
Calib3d.fisheye_estimateNewCameraMatrixForUndistortRectify(Mat K,
Mat D,
Size image_size,
Mat R,
Mat P,
double balance,
Size new_size,
double fov_scale) |
static void |
Calib3d.fisheye_initUndistortRectifyMap(Mat K,
Mat D,
Mat R,
Mat P,
Size size,
int m1type,
Mat map1,
Mat map2) |
static void |
Calib3d.fisheye_projectPoints(Mat objectPoints,
Mat imagePoints,
Mat rvec,
Mat tvec,
Mat K,
Mat D) |
static void |
Calib3d.fisheye_projectPoints(Mat objectPoints,
Mat imagePoints,
Mat rvec,
Mat tvec,
Mat K,
Mat D,
double alpha) |
static void |
Calib3d.fisheye_projectPoints(Mat objectPoints,
Mat imagePoints,
Mat rvec,
Mat tvec,
Mat K,
Mat D,
double alpha,
Mat jacobian) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T,
int flags) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T,
int flags,
TermCriteria criteria) |
static void |
Calib3d.fisheye_stereoRectify(Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat tvec,
Mat R1,
Mat R2,
Mat P1,
Mat P2,
Mat Q,
int flags) |
static void |
Calib3d.fisheye_stereoRectify(Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat tvec,
Mat R1,
Mat R2,
Mat P1,
Mat P2,
Mat Q,
int flags,
Size newImageSize) |
static void |
Calib3d.fisheye_stereoRectify(Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat tvec,
Mat R1,
Mat R2,
Mat P1,
Mat P2,
Mat Q,
int flags,
Size newImageSize,
double balance) |
static void |
Calib3d.fisheye_stereoRectify(Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat tvec,
Mat R1,
Mat R2,
Mat P1,
Mat P2,
Mat Q,
int flags,
Size newImageSize,
double balance,
double fov_scale) |
static void |
Calib3d.fisheye_undistortImage(Mat distorted,
Mat undistorted,
Mat K,
Mat D) |
static void |
Calib3d.fisheye_undistortImage(Mat distorted,
Mat undistorted,
Mat K,
Mat D,
Mat Knew) |
static void |
Calib3d.fisheye_undistortImage(Mat distorted,
Mat undistorted,
Mat K,
Mat D,
Mat Knew,
Size new_size) |
static void |
Calib3d.fisheye_undistortPoints(Mat distorted,
Mat undistorted,
Mat K,
Mat D) |
static void |
Calib3d.fisheye_undistortPoints(Mat distorted,
Mat undistorted,
Mat K,
Mat D,
Mat R) |
static void |
Calib3d.fisheye_undistortPoints(Mat distorted,
Mat undistorted,
Mat K,
Mat D,
Mat R,
Mat P) |
static Mat |
Calib3d.getOptimalNewCameraMatrix(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
double alpha) |
static Mat |
Calib3d.getOptimalNewCameraMatrix(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
double alpha,
Size newImgSize) |
static Mat |
Calib3d.getOptimalNewCameraMatrix(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
double alpha,
Size newImgSize,
Rect validPixROI) |
static Mat |
Calib3d.getOptimalNewCameraMatrix(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
double alpha,
Size newImgSize,
Rect validPixROI,
boolean centerPrincipalPoint) |
static void |
Calib3d.matMulDeriv(Mat A,
Mat B,
Mat dABdA,
Mat dABdB) |
static void |
Calib3d.projectPoints(MatOfPoint3f objectPoints,
Mat rvec,
Mat tvec,
Mat cameraMatrix,
MatOfDouble distCoeffs,
MatOfPoint2f imagePoints) |
static void |
Calib3d.projectPoints(MatOfPoint3f objectPoints,
Mat rvec,
Mat tvec,
Mat cameraMatrix,
MatOfDouble distCoeffs,
MatOfPoint2f imagePoints,
Mat jacobian) |
static void |
Calib3d.projectPoints(MatOfPoint3f objectPoints,
Mat rvec,
Mat tvec,
Mat cameraMatrix,
MatOfDouble distCoeffs,
MatOfPoint2f imagePoints,
Mat jacobian,
double aspectRatio) |
static int |
Calib3d.recoverPose(Mat E,
Mat points1,
Mat points2,
Mat R,
Mat t) |
static int |
Calib3d.recoverPose(Mat E,
Mat points1,
Mat points2,
Mat R,
Mat t,
double focal) |
static int |
Calib3d.recoverPose(Mat E,
Mat points1,
Mat points2,
Mat R,
Mat t,
double focal,
Point pp) |
static int |
Calib3d.recoverPose(Mat E,
Mat points1,
Mat points2,
Mat R,
Mat t,
double focal,
Point pp,
Mat mask) |
static int |
Calib3d.recoverPose(Mat E,
Mat points1,
Mat points2,
Mat cameraMatrix,
Mat R,
Mat t) |
static int |
Calib3d.recoverPose(Mat E,
Mat points1,
Mat points2,
Mat cameraMatrix,
Mat R,
Mat t,
double distanceThresh) |
static int |
Calib3d.recoverPose(Mat E,
Mat points1,
Mat points2,
Mat cameraMatrix,
Mat R,
Mat t,
double distanceThresh,
Mat mask) |
static int |
Calib3d.recoverPose(Mat E,
Mat points1,
Mat points2,
Mat cameraMatrix,
Mat R,
Mat t,
double distanceThresh,
Mat mask,
Mat triangulatedPoints) |
static int |
Calib3d.recoverPose(Mat E,
Mat points1,
Mat points2,
Mat cameraMatrix,
Mat R,
Mat t,
Mat mask) |
static float |
Calib3d.rectify3Collinear(Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Mat cameraMatrix3,
Mat distCoeffs3,
List<Mat> imgpt1,
List<Mat> imgpt3,
Size imageSize,
Mat R12,
Mat T12,
Mat R13,
Mat T13,
Mat R1,
Mat R2,
Mat R3,
Mat P1,
Mat P2,
Mat P3,
Mat Q,
double alpha,
Size newImgSize,
Rect roi1,
Rect roi2,
int flags) |
static void |
Calib3d.reprojectImageTo3D(Mat disparity,
Mat _3dImage,
Mat Q) |
static void |
Calib3d.reprojectImageTo3D(Mat disparity,
Mat _3dImage,
Mat Q,
boolean handleMissingValues) |
static void |
Calib3d.reprojectImageTo3D(Mat disparity,
Mat _3dImage,
Mat Q,
boolean handleMissingValues,
int ddepth) |
static void |
Calib3d.Rodrigues(Mat src,
Mat dst) |
static void |
Calib3d.Rodrigues(Mat src,
Mat dst,
Mat jacobian) |
static double[] |
Calib3d.RQDecomp3x3(Mat src,
Mat mtxR,
Mat mtxQ) |
static double[] |
Calib3d.RQDecomp3x3(Mat src,
Mat mtxR,
Mat mtxQ,
Mat Qx) |
static double[] |
Calib3d.RQDecomp3x3(Mat src,
Mat mtxR,
Mat mtxQ,
Mat Qx,
Mat Qy) |
static double[] |
Calib3d.RQDecomp3x3(Mat src,
Mat mtxR,
Mat mtxQ,
Mat Qx,
Mat Qy,
Mat Qz) |
static double |
Calib3d.sampsonDistance(Mat pt1,
Mat pt2,
Mat F) |
static int |
Calib3d.solveP3P(Mat objectPoints,
Mat imagePoints,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static boolean |
Calib3d.solvePnP(MatOfPoint3f objectPoints,
MatOfPoint2f imagePoints,
Mat cameraMatrix,
MatOfDouble distCoeffs,
Mat rvec,
Mat tvec) |
static boolean |
Calib3d.solvePnP(MatOfPoint3f objectPoints,
MatOfPoint2f imagePoints,
Mat cameraMatrix,
MatOfDouble distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess) |
static boolean |
Calib3d.solvePnP(MatOfPoint3f objectPoints,
MatOfPoint2f imagePoints,
Mat cameraMatrix,
MatOfDouble distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess,
int flags) |
static boolean |
Calib3d.solvePnPRansac(MatOfPoint3f objectPoints,
MatOfPoint2f imagePoints,
Mat cameraMatrix,
MatOfDouble distCoeffs,
Mat rvec,
Mat tvec) |
static boolean |
Calib3d.solvePnPRansac(MatOfPoint3f objectPoints,
MatOfPoint2f imagePoints,
Mat cameraMatrix,
MatOfDouble distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess) |
static boolean |
Calib3d.solvePnPRansac(MatOfPoint3f objectPoints,
MatOfPoint2f imagePoints,
Mat cameraMatrix,
MatOfDouble distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess,
int iterationsCount) |
static boolean |
Calib3d.solvePnPRansac(MatOfPoint3f objectPoints,
MatOfPoint2f imagePoints,
Mat cameraMatrix,
MatOfDouble distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess,
int iterationsCount,
float reprojectionError) |
static boolean |
Calib3d.solvePnPRansac(MatOfPoint3f objectPoints,
MatOfPoint2f imagePoints,
Mat cameraMatrix,
MatOfDouble distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess,
int iterationsCount,
float reprojectionError,
double confidence) |
static boolean |
Calib3d.solvePnPRansac(MatOfPoint3f objectPoints,
MatOfPoint2f imagePoints,
Mat cameraMatrix,
MatOfDouble distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess,
int iterationsCount,
float reprojectionError,
double confidence,
Mat inliers) |
static boolean |
Calib3d.solvePnPRansac(MatOfPoint3f objectPoints,
MatOfPoint2f imagePoints,
Mat cameraMatrix,
MatOfDouble distCoeffs,
Mat rvec,
Mat tvec,
boolean useExtrinsicGuess,
int iterationsCount,
float reprojectionError,
double confidence,
Mat inliers,
int flags) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
int flags) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
int flags,
TermCriteria criteria) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors,
int flags) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static void |
Calib3d.stereoRectify(Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat R1,
Mat R2,
Mat P1,
Mat P2,
Mat Q) |
static void |
Calib3d.stereoRectify(Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat R1,
Mat R2,
Mat P1,
Mat P2,
Mat Q,
int flags) |
static void |
Calib3d.stereoRectify(Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat R1,
Mat R2,
Mat P1,
Mat P2,
Mat Q,
int flags,
double alpha) |
static void |
Calib3d.stereoRectify(Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat R1,
Mat R2,
Mat P1,
Mat P2,
Mat Q,
int flags,
double alpha,
Size newImageSize) |
static void |
Calib3d.stereoRectify(Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat R1,
Mat R2,
Mat P1,
Mat P2,
Mat Q,
int flags,
double alpha,
Size newImageSize,
Rect validPixROI1) |
static void |
Calib3d.stereoRectify(Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat R1,
Mat R2,
Mat P1,
Mat P2,
Mat Q,
int flags,
double alpha,
Size newImageSize,
Rect validPixROI1,
Rect validPixROI2) |
static boolean |
Calib3d.stereoRectifyUncalibrated(Mat points1,
Mat points2,
Mat F,
Size imgSize,
Mat H1,
Mat H2) |
static boolean |
Calib3d.stereoRectifyUncalibrated(Mat points1,
Mat points2,
Mat F,
Size imgSize,
Mat H1,
Mat H2,
double threshold) |
static void |
Calib3d.triangulatePoints(Mat projMatr1,
Mat projMatr2,
Mat projPoints1,
Mat projPoints2,
Mat points4D) |
static void |
Calib3d.validateDisparity(Mat disparity,
Mat cost,
int minDisparity,
int numberOfDisparities) |
static void |
Calib3d.validateDisparity(Mat disparity,
Mat cost,
int minDisparity,
int numberOfDisparities,
int disp12MaxDisp) |
| Modifier and Type | Method and Description |
|---|---|
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Calib3d.calibrateCamera(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Calib3d.calibrateCameraExtended(List<Mat> objectPoints,
List<Mat> imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static int |
Calib3d.decomposeHomographyMat(Mat H,
Mat K,
List<Mat> rotations,
List<Mat> translations,
List<Mat> normals) |
static int |
Calib3d.decomposeHomographyMat(Mat H,
Mat K,
List<Mat> rotations,
List<Mat> translations,
List<Mat> normals) |
static int |
Calib3d.decomposeHomographyMat(Mat H,
Mat K,
List<Mat> rotations,
List<Mat> translations,
List<Mat> normals) |
static void |
Calib3d.filterHomographyDecompByVisibleRefpoints(List<Mat> rotations,
List<Mat> normals,
Mat beforePoints,
Mat afterPoints,
Mat possibleSolutions) |
static void |
Calib3d.filterHomographyDecompByVisibleRefpoints(List<Mat> rotations,
List<Mat> normals,
Mat beforePoints,
Mat afterPoints,
Mat possibleSolutions) |
static void |
Calib3d.filterHomographyDecompByVisibleRefpoints(List<Mat> rotations,
List<Mat> normals,
Mat beforePoints,
Mat afterPoints,
Mat possibleSolutions,
Mat pointsMask) |
static void |
Calib3d.filterHomographyDecompByVisibleRefpoints(List<Mat> rotations,
List<Mat> normals,
Mat beforePoints,
Mat afterPoints,
Mat possibleSolutions,
Mat pointsMask) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Calib3d.fisheye_calibrate(List<Mat> objectPoints,
List<Mat> imagePoints,
Size image_size,
Mat K,
Mat D,
List<Mat> rvecs,
List<Mat> tvecs,
int flags,
TermCriteria criteria) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T,
int flags) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T,
int flags) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T,
int flags) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T,
int flags,
TermCriteria criteria) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T,
int flags,
TermCriteria criteria) |
static double |
Calib3d.fisheye_stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat K1,
Mat D1,
Mat K2,
Mat D2,
Size imageSize,
Mat R,
Mat T,
int flags,
TermCriteria criteria) |
static float |
Calib3d.rectify3Collinear(Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Mat cameraMatrix3,
Mat distCoeffs3,
List<Mat> imgpt1,
List<Mat> imgpt3,
Size imageSize,
Mat R12,
Mat T12,
Mat R13,
Mat T13,
Mat R1,
Mat R2,
Mat R3,
Mat P1,
Mat P2,
Mat P3,
Mat Q,
double alpha,
Size newImgSize,
Rect roi1,
Rect roi2,
int flags) |
static float |
Calib3d.rectify3Collinear(Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Mat cameraMatrix3,
Mat distCoeffs3,
List<Mat> imgpt1,
List<Mat> imgpt3,
Size imageSize,
Mat R12,
Mat T12,
Mat R13,
Mat T13,
Mat R1,
Mat R2,
Mat R3,
Mat P1,
Mat P2,
Mat P3,
Mat Q,
double alpha,
Size newImgSize,
Rect roi1,
Rect roi2,
int flags) |
static int |
Calib3d.solveP3P(Mat objectPoints,
Mat imagePoints,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static int |
Calib3d.solveP3P(Mat objectPoints,
Mat imagePoints,
Mat cameraMatrix,
Mat distCoeffs,
List<Mat> rvecs,
List<Mat> tvecs,
int flags) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
int flags) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
int flags) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
int flags) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
int flags,
TermCriteria criteria) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
int flags,
TermCriteria criteria) |
static double |
Calib3d.stereoCalibrate(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
int flags,
TermCriteria criteria) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors,
int flags) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors,
int flags) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors,
int flags) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
Calib3d.stereoCalibrateExtended(List<Mat> objectPoints,
List<Mat> imagePoints1,
List<Mat> imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
| Modifier and Type | Class and Description |
|---|---|
class |
MatOfByte |
class |
MatOfDMatch |
class |
MatOfDouble |
class |
MatOfFloat |
class |
MatOfFloat4 |
class |
MatOfFloat6 |
class |
MatOfInt |
class |
MatOfInt4 |
class |
MatOfKeyPoint |
class |
MatOfPoint |
class |
MatOfPoint2f |
class |
MatOfPoint3 |
class |
MatOfPoint3f |
class |
MatOfRect |
class |
MatOfRect2d |
class |
MatOfRotatedRect |
| Modifier and Type | Method and Description |
|---|---|
Mat |
Mat.adjustROI(int dtop,
int dbottom,
int dleft,
int dright) |
Mat |
Mat.clone() |
Mat |
Mat.col(int x) |
Mat |
Mat.colRange(int startcol,
int endcol) |
Mat |
Mat.colRange(Range r) |
Mat |
Mat.cross(Mat m) |
Mat |
Mat.diag() |
Mat |
Mat.diag(int d) |
static Mat |
Mat.diag(Mat d) |
static Mat |
Mat.eye(int rows,
int cols,
int type) |
static Mat |
Mat.eye(Size size,
int type) |
Mat |
Mat.inv() |
Mat |
Mat.inv(int method) |
Mat |
Mat.mul(Mat m) |
Mat |
Mat.mul(Mat m,
double scale) |
static Mat |
Mat.ones(int rows,
int cols,
int type) |
static Mat |
Mat.ones(Size size,
int type) |
Mat |
Mat.reshape(int cn) |
Mat |
Mat.reshape(int cn,
int rows) |
Mat |
Mat.row(int y) |
Mat |
Mat.rowRange(int startrow,
int endrow) |
Mat |
Mat.rowRange(Range r) |
Mat |
Mat.setTo(Mat value) |
Mat |
Mat.setTo(Mat value,
Mat mask) |
Mat |
Mat.setTo(Scalar s) |
Mat |
Mat.setTo(Scalar value,
Mat mask) |
Mat |
Mat.submat(int rowStart,
int rowEnd,
int colStart,
int colEnd) |
Mat |
Mat.submat(Range rowRange,
Range colRange) |
Mat |
Mat.submat(Rect roi) |
Mat |
Mat.t() |
static Mat |
Mat.zeros(int rows,
int cols,
int type) |
static Mat |
Mat.zeros(Size size,
int type) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Core.absdiff(Mat src1,
Mat src2,
Mat dst) |
static void |
Core.absdiff(Mat src1,
Scalar src2,
Mat dst) |
static void |
Core.add(Mat src1,
Mat src2,
Mat dst) |
static void |
Core.add(Mat src1,
Mat src2,
Mat dst,
Mat mask) |
static void |
Core.add(Mat src1,
Mat src2,
Mat dst,
Mat mask,
int dtype) |
static void |
Core.add(Mat src1,
Scalar src2,
Mat dst) |
static void |
Core.add(Mat src1,
Scalar src2,
Mat dst,
Mat mask) |
static void |
Core.add(Mat src1,
Scalar src2,
Mat dst,
Mat mask,
int dtype) |
static void |
Core.addWeighted(Mat src1,
double alpha,
Mat src2,
double beta,
double gamma,
Mat dst) |
static void |
Core.addWeighted(Mat src1,
double alpha,
Mat src2,
double beta,
double gamma,
Mat dst,
int dtype) |
void |
Mat.assignTo(Mat m) |
void |
Mat.assignTo(Mat m,
int type) |
static void |
Core.batchDistance(Mat src1,
Mat src2,
Mat dist,
int dtype,
Mat nidx) |
static void |
Core.batchDistance(Mat src1,
Mat src2,
Mat dist,
int dtype,
Mat nidx,
int normType) |
static void |
Core.batchDistance(Mat src1,
Mat src2,
Mat dist,
int dtype,
Mat nidx,
int normType,
int K) |
static void |
Core.batchDistance(Mat src1,
Mat src2,
Mat dist,
int dtype,
Mat nidx,
int normType,
int K,
Mat mask) |
static void |
Core.batchDistance(Mat src1,
Mat src2,
Mat dist,
int dtype,
Mat nidx,
int normType,
int K,
Mat mask,
int update) |
static void |
Core.batchDistance(Mat src1,
Mat src2,
Mat dist,
int dtype,
Mat nidx,
int normType,
int K,
Mat mask,
int update,
boolean crosscheck) |
static void |
Core.bitwise_and(Mat src1,
Mat src2,
Mat dst) |
static void |
Core.bitwise_and(Mat src1,
Mat src2,
Mat dst,
Mat mask) |
static void |
Core.bitwise_not(Mat src,
Mat dst) |
static void |
Core.bitwise_not(Mat src,
Mat dst,
Mat mask) |
static void |
Core.bitwise_or(Mat src1,
Mat src2,
Mat dst) |
static void |
Core.bitwise_or(Mat src1,
Mat src2,
Mat dst,
Mat mask) |
static void |
Core.bitwise_xor(Mat src1,
Mat src2,
Mat dst) |
static void |
Core.bitwise_xor(Mat src1,
Mat src2,
Mat dst,
Mat mask) |
static void |
Core.calcCovarMatrix(Mat samples,
Mat covar,
Mat mean,
int flags) |
static void |
Core.calcCovarMatrix(Mat samples,
Mat covar,
Mat mean,
int flags,
int ctype) |
static void |
Core.cartToPolar(Mat x,
Mat y,
Mat magnitude,
Mat angle) |
static void |
Core.cartToPolar(Mat x,
Mat y,
Mat magnitude,
Mat angle,
boolean angleInDegrees) |
static boolean |
Core.checkRange(Mat a) |
static boolean |
Core.checkRange(Mat a,
boolean quiet) |
static boolean |
Core.checkRange(Mat a,
boolean quiet,
double minVal) |
static boolean |
Core.checkRange(Mat a,
boolean quiet,
double minVal,
double maxVal) |
static void |
Core.compare(Mat src1,
Mat src2,
Mat dst,
int cmpop) |
static void |
Core.compare(Mat src1,
Scalar src2,
Mat dst,
int cmpop) |
static void |
Core.completeSymm(Mat m) |
static void |
Core.completeSymm(Mat m,
boolean lowerToUpper) |
static void |
Core.convertFp16(Mat src,
Mat dst) |
static void |
Core.convertScaleAbs(Mat src,
Mat dst) |
static void |
Core.convertScaleAbs(Mat src,
Mat dst,
double alpha) |
static void |
Core.convertScaleAbs(Mat src,
Mat dst,
double alpha,
double beta) |
void |
Mat.convertTo(Mat m,
int rtype) |
void |
Mat.convertTo(Mat m,
int rtype,
double alpha) |
void |
Mat.convertTo(Mat m,
int rtype,
double alpha,
double beta) |
static void |
Core.copyMakeBorder(Mat src,
Mat dst,
int top,
int bottom,
int left,
int right,
int borderType) |
static void |
Core.copyMakeBorder(Mat src,
Mat dst,
int top,
int bottom,
int left,
int right,
int borderType,
Scalar value) |
void |
Mat.copyTo(Mat m) |
void |
Mat.copyTo(Mat m,
Mat mask) |
static int |
Core.countNonZero(Mat src) |
Mat |
Mat.cross(Mat m) |
static void |
Core.dct(Mat src,
Mat dst) |
static void |
Core.dct(Mat src,
Mat dst,
int flags) |
static double |
Core.determinant(Mat mtx) |
static void |
Core.dft(Mat src,
Mat dst) |
static void |
Core.dft(Mat src,
Mat dst,
int flags) |
static void |
Core.dft(Mat src,
Mat dst,
int flags,
int nonzeroRows) |
static Mat |
Mat.diag(Mat d) |
static void |
Core.divide(double scale,
Mat src2,
Mat dst) |
static void |
Core.divide(double scale,
Mat src2,
Mat dst,
int dtype) |
static void |
Core.divide(Mat src1,
Mat src2,
Mat dst) |
static void |
Core.divide(Mat src1,
Mat src2,
Mat dst,
double scale) |
static void |
Core.divide(Mat src1,
Mat src2,
Mat dst,
double scale,
int dtype) |
static void |
Core.divide(Mat src1,
Scalar src2,
Mat dst) |
static void |
Core.divide(Mat src1,
Scalar src2,
Mat dst,
double scale) |
static void |
Core.divide(Mat src1,
Scalar src2,
Mat dst,
double scale,
int dtype) |
double |
Mat.dot(Mat m) |
static boolean |
Core.eigen(Mat src,
Mat eigenvalues) |
static boolean |
Core.eigen(Mat src,
Mat eigenvalues,
Mat eigenvectors) |
static void |
Core.eigenNonSymmetric(Mat src,
Mat eigenvalues,
Mat eigenvectors) |
static void |
Core.exp(Mat src,
Mat dst) |
static void |
Core.extractChannel(Mat src,
Mat dst,
int coi) |
static void |
Core.findNonZero(Mat src,
Mat idx) |
static void |
Core.flip(Mat src,
Mat dst,
int flipCode) |
static void |
Core.gemm(Mat src1,
Mat src2,
double alpha,
Mat src3,
double beta,
Mat dst) |
static void |
Core.gemm(Mat src1,
Mat src2,
double alpha,
Mat src3,
double beta,
Mat dst,
int flags) |
static void |
Core.hconcat(List<Mat> src,
Mat dst) |
static void |
Core.idct(Mat src,
Mat dst) |
static void |
Core.idct(Mat src,
Mat dst,
int flags) |
static void |
Core.idft(Mat src,
Mat dst) |
static void |
Core.idft(Mat src,
Mat dst,
int flags) |
static void |
Core.idft(Mat src,
Mat dst,
int flags,
int nonzeroRows) |
static void |
Core.inRange(Mat src,
Scalar lowerb,
Scalar upperb,
Mat dst) |
static void |
Core.insertChannel(Mat src,
Mat dst,
int coi) |
static double |
Core.invert(Mat src,
Mat dst) |
static double |
Core.invert(Mat src,
Mat dst,
int flags) |
static double |
Core.kmeans(Mat data,
int K,
Mat bestLabels,
TermCriteria criteria,
int attempts,
int flags) |
static double |
Core.kmeans(Mat data,
int K,
Mat bestLabels,
TermCriteria criteria,
int attempts,
int flags,
Mat centers) |
static void |
Core.log(Mat src,
Mat dst) |
static void |
Core.LUT(Mat src,
Mat lut,
Mat dst) |
static void |
Core.magnitude(Mat x,
Mat y,
Mat magnitude) |
static double |
Core.Mahalanobis(Mat v1,
Mat v2,
Mat icovar) |
static void |
Core.max(Mat src1,
Mat src2,
Mat dst) |
static void |
Core.max(Mat src1,
Scalar src2,
Mat dst) |
static Scalar |
Core.mean(Mat src) |
static Scalar |
Core.mean(Mat src,
Mat mask) |
static void |
Core.meanStdDev(Mat src,
MatOfDouble mean,
MatOfDouble stddev) |
static void |
Core.meanStdDev(Mat src,
MatOfDouble mean,
MatOfDouble stddev,
Mat mask) |
static void |
Core.merge(List<Mat> mv,
Mat dst) |
static void |
Core.min(Mat src1,
Mat src2,
Mat dst) |
static void |
Core.min(Mat src1,
Scalar src2,
Mat dst) |
static Core.MinMaxLocResult |
Core.minMaxLoc(Mat src) |
static Core.MinMaxLocResult |
Core.minMaxLoc(Mat src,
Mat mask) |
Mat |
Mat.mul(Mat m) |
Mat |
Mat.mul(Mat m,
double scale) |
static void |
Core.mulSpectrums(Mat a,
Mat b,
Mat c,
int flags) |
static void |
Core.mulSpectrums(Mat a,
Mat b,
Mat c,
int flags,
boolean conjB) |
static void |
Core.multiply(Mat src1,
Mat src2,
Mat dst) |
static void |
Core.multiply(Mat src1,
Mat src2,
Mat dst,
double scale) |
static void |
Core.multiply(Mat src1,
Mat src2,
Mat dst,
double scale,
int dtype) |
static void |
Core.multiply(Mat src1,
Scalar src2,
Mat dst) |
static void |
Core.multiply(Mat src1,
Scalar src2,
Mat dst,
double scale) |
static void |
Core.multiply(Mat src1,
Scalar src2,
Mat dst,
double scale,
int dtype) |
static void |
Core.mulTransposed(Mat src,
Mat dst,
boolean aTa) |
static void |
Core.mulTransposed(Mat src,
Mat dst,
boolean aTa,
Mat delta) |
static void |
Core.mulTransposed(Mat src,
Mat dst,
boolean aTa,
Mat delta,
double scale) |
static void |
Core.mulTransposed(Mat src,
Mat dst,
boolean aTa,
Mat delta,
double scale,
int dtype) |
static double |
Core.norm(Mat src1) |
static double |
Core.norm(Mat src1,
int normType) |
static double |
Core.norm(Mat src1,
int normType,
Mat mask) |
static double |
Core.norm(Mat src1,
Mat src2) |
static double |
Core.norm(Mat src1,
Mat src2,
int normType) |
static double |
Core.norm(Mat src1,
Mat src2,
int normType,
Mat mask) |
static void |
Core.normalize(Mat src,
Mat dst) |
static void |
Core.normalize(Mat src,
Mat dst,
double alpha) |
static void |
Core.normalize(Mat src,
Mat dst,
double alpha,
double beta) |
static void |
Core.normalize(Mat src,
Mat dst,
double alpha,
double beta,
int norm_type) |
static void |
Core.normalize(Mat src,
Mat dst,
double alpha,
double beta,
int norm_type,
int dtype) |
static void |
Core.normalize(Mat src,
Mat dst,
double alpha,
double beta,
int norm_type,
int dtype,
Mat mask) |
static void |
Core.patchNaNs(Mat a) |
static void |
Core.patchNaNs(Mat a,
double val) |
static void |
Core.PCABackProject(Mat data,
Mat mean,
Mat eigenvectors,
Mat result) |
static void |
Core.PCACompute(Mat data,
Mat mean,
Mat eigenvectors) |
static void |
Core.PCACompute(Mat data,
Mat mean,
Mat eigenvectors,
double retainedVariance) |
static void |
Core.PCACompute(Mat data,
Mat mean,
Mat eigenvectors,
int maxComponents) |
static void |
Core.PCACompute2(Mat data,
Mat mean,
Mat eigenvectors,
Mat eigenvalues) |
static void |
Core.PCACompute2(Mat data,
Mat mean,
Mat eigenvectors,
Mat eigenvalues,
double retainedVariance) |
static void |
Core.PCACompute2(Mat data,
Mat mean,
Mat eigenvectors,
Mat eigenvalues,
int maxComponents) |
static void |
Core.PCAProject(Mat data,
Mat mean,
Mat eigenvectors,
Mat result) |
static void |
Core.perspectiveTransform(Mat src,
Mat dst,
Mat m) |
static void |
Core.phase(Mat x,
Mat y,
Mat angle) |
static void |
Core.phase(Mat x,
Mat y,
Mat angle,
boolean angleInDegrees) |
static void |
Core.polarToCart(Mat magnitude,
Mat angle,
Mat x,
Mat y) |
static void |
Core.polarToCart(Mat magnitude,
Mat angle,
Mat x,
Mat y,
boolean angleInDegrees) |
static void |
Core.pow(Mat src,
double power,
Mat dst) |
static double |
Core.PSNR(Mat src1,
Mat src2) |
void |
Mat.push_back(Mat m) |
static void |
Core.randn(Mat dst,
double mean,
double stddev) |
static void |
Core.randShuffle(Mat dst) |
static void |
Core.randShuffle(Mat dst,
double iterFactor) |
static void |
Core.randu(Mat dst,
double low,
double high) |
static void |
Core.reduce(Mat src,
Mat dst,
int dim,
int rtype) |
static void |
Core.reduce(Mat src,
Mat dst,
int dim,
int rtype,
int dtype) |
static void |
Core.repeat(Mat src,
int ny,
int nx,
Mat dst) |
static void |
Core.rotate(Mat src,
Mat dst,
int rotateCode) |
static void |
Core.scaleAdd(Mat src1,
double alpha,
Mat src2,
Mat dst) |
static void |
Core.setIdentity(Mat mtx) |
static void |
Core.setIdentity(Mat mtx,
Scalar s) |
Mat |
Mat.setTo(Mat value) |
Mat |
Mat.setTo(Mat value,
Mat mask) |
Mat |
Mat.setTo(Scalar value,
Mat mask) |
static boolean |
Core.solve(Mat src1,
Mat src2,
Mat dst) |
static boolean |
Core.solve(Mat src1,
Mat src2,
Mat dst,
int flags) |
static int |
Core.solveCubic(Mat coeffs,
Mat roots) |
static double |
Core.solvePoly(Mat coeffs,
Mat roots) |
static double |
Core.solvePoly(Mat coeffs,
Mat roots,
int maxIters) |
static void |
Core.sort(Mat src,
Mat dst,
int flags) |
static void |
Core.sortIdx(Mat src,
Mat dst,
int flags) |
static void |
Core.split(Mat m,
List<Mat> mv) |
static void |
Core.sqrt(Mat src,
Mat dst) |
static void |
Core.subtract(Mat src1,
Mat src2,
Mat dst) |
static void |
Core.subtract(Mat src1,
Mat src2,
Mat dst,
Mat mask) |
static void |
Core.subtract(Mat src1,
Mat src2,
Mat dst,
Mat mask,
int dtype) |
static void |
Core.subtract(Mat src1,
Scalar src2,
Mat dst) |
static void |
Core.subtract(Mat src1,
Scalar src2,
Mat dst,
Mat mask) |
static void |
Core.subtract(Mat src1,
Scalar src2,
Mat dst,
Mat mask,
int dtype) |
static Scalar |
Core.sumElems(Mat src) |
static void |
Core.SVBackSubst(Mat w,
Mat u,
Mat vt,
Mat rhs,
Mat dst) |
static void |
Core.SVDecomp(Mat src,
Mat w,
Mat u,
Mat vt) |
static void |
Core.SVDecomp(Mat src,
Mat w,
Mat u,
Mat vt,
int flags) |
static Scalar |
Core.trace(Mat mtx) |
static void |
Core.transform(Mat src,
Mat dst,
Mat m) |
static void |
Core.transpose(Mat src,
Mat dst) |
static void |
Core.vconcat(List<Mat> src,
Mat dst) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Core.hconcat(List<Mat> src,
Mat dst) |
static void |
Core.merge(List<Mat> mv,
Mat dst) |
static void |
Core.mixChannels(List<Mat> src,
List<Mat> dst,
MatOfInt fromTo) |
static void |
Core.mixChannels(List<Mat> src,
List<Mat> dst,
MatOfInt fromTo) |
static void |
Core.split(Mat m,
List<Mat> mv) |
static void |
Core.vconcat(List<Mat> src,
Mat dst) |
| Constructor and Description |
|---|
Mat(Mat m,
Range rowRange) |
Mat(Mat m,
Range rowRange,
Range colRange) |
Mat(Mat m,
Rect roi) |
MatOfByte(Mat m) |
MatOfDMatch(Mat m) |
MatOfDouble(Mat m) |
MatOfFloat(Mat m) |
MatOfFloat4(Mat m) |
MatOfFloat6(Mat m) |
MatOfInt(Mat m) |
MatOfInt4(Mat m) |
MatOfKeyPoint(Mat m) |
MatOfPoint(Mat m) |
MatOfPoint2f(Mat m) |
MatOfPoint3(Mat m) |
MatOfPoint3f(Mat m) |
MatOfRect(Mat m) |
MatOfRect2d(Mat m) |
MatOfRotatedRect(Mat m) |
| Modifier and Type | Method and Description |
|---|---|
static Mat |
Dnn.blobFromImage(Mat image) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor,
Size size) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor,
Size size,
Scalar mean) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB,
boolean crop) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB,
boolean crop,
int ddepth) |
static Mat |
Dnn.blobFromImages(List<Mat> images) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor,
Size size) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor,
Size size,
Scalar mean) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB,
boolean crop) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB,
boolean crop,
int ddepth) |
Mat |
Net.forward() |
Mat |
Net.forward(String outputName) |
Mat |
Net.getParam(DictValue layer) |
Mat |
Net.getParam(DictValue layer,
int numParam) |
static Mat |
Dnn.readTorchBlob(String filename) |
static Mat |
Dnn.readTorchBlob(String filename,
boolean isBinary) |
| Modifier and Type | Method and Description |
|---|---|
List<Mat> |
Layer.finalize(List<Mat> inputs) |
List<Mat> |
Layer.get_blobs() |
| Modifier and Type | Method and Description |
|---|---|
static Mat |
Dnn.blobFromImage(Mat image) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor,
Size size) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor,
Size size,
Scalar mean) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB,
boolean crop) |
static Mat |
Dnn.blobFromImage(Mat image,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB,
boolean crop,
int ddepth) |
static void |
Dnn.imagesFromBlob(Mat blob_,
List<Mat> images_) |
void |
Net.setInput(Mat blob) |
void |
Net.setInput(Mat blob,
String name) |
void |
Net.setInput(Mat blob,
String name,
double scalefactor) |
void |
Net.setInput(Mat blob,
String name,
double scalefactor,
Scalar mean) |
void |
Net.setParam(DictValue layer,
int numParam,
Mat blob) |
| Modifier and Type | Method and Description |
|---|---|
static Mat |
Dnn.blobFromImages(List<Mat> images) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor,
Size size) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor,
Size size,
Scalar mean) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB,
boolean crop) |
static Mat |
Dnn.blobFromImages(List<Mat> images,
double scalefactor,
Size size,
Scalar mean,
boolean swapRB,
boolean crop,
int ddepth) |
List<Mat> |
Layer.finalize(List<Mat> inputs) |
void |
Layer.finalize(List<Mat> inputs,
List<Mat> outputs) |
void |
Layer.finalize(List<Mat> inputs,
List<Mat> outputs) |
void |
Net.forward(List<Mat> outputBlobs) |
void |
Net.forward(List<Mat> outputBlobs,
List<String> outBlobNames) |
void |
Net.forward(List<Mat> outputBlobs,
String outputName) |
static void |
Dnn.imagesFromBlob(Mat blob_,
List<Mat> images_) |
void |
Layer.run(List<Mat> inputs,
List<Mat> outputs,
List<Mat> internals) |
void |
Layer.run(List<Mat> inputs,
List<Mat> outputs,
List<Mat> internals) |
void |
Layer.run(List<Mat> inputs,
List<Mat> outputs,
List<Mat> internals) |
void |
Layer.set_blobs(List<Mat> blobs) |
| Modifier and Type | Method and Description |
|---|---|
Mat |
BasicFaceRecognizer.getEigenValues() |
Mat |
BasicFaceRecognizer.getEigenVectors() |
Mat |
LBPHFaceRecognizer.getLabels() |
Mat |
BasicFaceRecognizer.getLabels() |
Mat |
BasicFaceRecognizer.getMean() |
| Modifier and Type | Method and Description |
|---|---|
List<Mat> |
LBPHFaceRecognizer.getHistograms() |
List<Mat> |
BasicFaceRecognizer.getProjections() |
| Modifier and Type | Method and Description |
|---|---|
void |
BIF.compute(Mat image,
Mat features) |
static void |
Face.drawFacemarks(Mat image,
Mat points) |
static void |
Face.drawFacemarks(Mat image,
Mat points,
Scalar color) |
boolean |
Facemark.fit(Mat image,
MatOfRect faces,
List<MatOfPoint2f> landmarks) |
static boolean |
Face.getFacesHAAR(Mat image,
Mat faces,
String face_cascade_name) |
static boolean |
Face.loadFacePoints(String filename,
Mat points) |
static boolean |
Face.loadFacePoints(String filename,
Mat points,
float offset) |
static boolean |
Face.loadTrainingData(String filename,
List<String> images,
Mat facePoints) |
static boolean |
Face.loadTrainingData(String filename,
List<String> images,
Mat facePoints,
char delim) |
static boolean |
Face.loadTrainingData(String filename,
List<String> images,
Mat facePoints,
char delim,
float offset) |
static boolean |
Face.loadTrainingData(String imageList,
String groundTruth,
List<String> images,
Mat facePoints) |
static boolean |
Face.loadTrainingData(String imageList,
String groundTruth,
List<String> images,
Mat facePoints,
float offset) |
void |
FaceRecognizer.predict_collect(Mat src,
PredictCollector collector) |
int |
FaceRecognizer.predict_label(Mat src) |
void |
FaceRecognizer.predict(Mat src,
int[] label,
double[] confidence) |
boolean |
MACE.same(Mat query) |
void |
FaceRecognizer.train(List<Mat> src,
Mat labels) |
void |
FaceRecognizer.update(List<Mat> src,
Mat labels) |
| Modifier and Type | Method and Description |
|---|---|
void |
MACE.train(List<Mat> images) |
void |
FaceRecognizer.train(List<Mat> src,
Mat labels) |
void |
FaceRecognizer.update(List<Mat> src,
Mat labels) |
| Modifier and Type | Method and Description |
|---|---|
Mat |
BOWTrainer.cluster() |
Mat |
BOWKMeansTrainer.cluster() |
Mat |
BOWTrainer.cluster(Mat descriptors) |
Mat |
BOWKMeansTrainer.cluster(Mat descriptors) |
Mat |
BOWImgDescriptorExtractor.getVocabulary() |
| Modifier and Type | Method and Description |
|---|---|
List<Mat> |
BOWTrainer.getDescriptors() |
List<Mat> |
DescriptorMatcher.getTrainDescriptors() |
| Modifier and Type | Method and Description |
|---|---|
void |
BOWTrainer.add(Mat descriptors) |
Mat |
BOWTrainer.cluster(Mat descriptors) |
Mat |
BOWKMeansTrainer.cluster(Mat descriptors) |
void |
BOWImgDescriptorExtractor.compute(Mat image,
MatOfKeyPoint keypoints,
Mat imgDescriptor) |
void |
Feature2D.compute(Mat image,
MatOfKeyPoint keypoints,
Mat descriptors) |
void |
DescriptorExtractor.compute(Mat image,
MatOfKeyPoint keypoints,
Mat descriptors)
Deprecated.
|
void |
Feature2D.detect(Mat image,
MatOfKeyPoint keypoints) |
void |
FeatureDetector.detect(Mat image,
MatOfKeyPoint keypoints)
Deprecated.
|
void |
Feature2D.detect(Mat image,
MatOfKeyPoint keypoints,
Mat mask) |
void |
FeatureDetector.detect(Mat image,
MatOfKeyPoint keypoints,
Mat mask)
Deprecated.
|
void |
Feature2D.detectAndCompute(Mat image,
Mat mask,
MatOfKeyPoint keypoints,
Mat descriptors) |
void |
Feature2D.detectAndCompute(Mat image,
Mat mask,
MatOfKeyPoint keypoints,
Mat descriptors,
boolean useProvidedKeypoints) |
void |
MSER.detectRegions(Mat image,
List<MatOfPoint> msers,
MatOfRect bboxes) |
static void |
Features2d.drawKeypoints(Mat image,
MatOfKeyPoint keypoints,
Mat outImage) |
static void |
Features2d.drawKeypoints(Mat image,
MatOfKeyPoint keypoints,
Mat outImage,
Scalar color) |
static void |
Features2d.drawKeypoints(Mat image,
MatOfKeyPoint keypoints,
Mat outImage,
Scalar color,
int flags) |
static void |
Features2d.drawMatches(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
MatOfDMatch matches1to2,
Mat outImg) |
static void |
Features2d.drawMatches(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
MatOfDMatch matches1to2,
Mat outImg,
Scalar matchColor) |
static void |
Features2d.drawMatches(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
MatOfDMatch matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor) |
static void |
Features2d.drawMatches(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
MatOfDMatch matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor,
MatOfByte matchesMask) |
static void |
Features2d.drawMatches(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
MatOfDMatch matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor,
MatOfByte matchesMask,
int flags) |
static void |
Features2d.drawMatches2(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg) |
static void |
Features2d.drawMatches2(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg,
Scalar matchColor) |
static void |
Features2d.drawMatches2(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor) |
static void |
Features2d.drawMatches2(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor,
List<MatOfByte> matchesMask) |
static void |
Features2d.drawMatches2(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor,
List<MatOfByte> matchesMask,
int flags) |
static void |
Features2d.drawMatchesKnn(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg) |
static void |
Features2d.drawMatchesKnn(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg,
Scalar matchColor) |
static void |
Features2d.drawMatchesKnn(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor) |
static void |
Features2d.drawMatchesKnn(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor,
List<MatOfByte> matchesMask) |
static void |
Features2d.drawMatchesKnn(Mat img1,
MatOfKeyPoint keypoints1,
Mat img2,
MatOfKeyPoint keypoints2,
List<MatOfDMatch> matches1to2,
Mat outImg,
Scalar matchColor,
Scalar singlePointColor,
List<MatOfByte> matchesMask,
int flags) |
void |
DescriptorMatcher.knnMatch(Mat queryDescriptors,
List<MatOfDMatch> matches,
int k) |
void |
DescriptorMatcher.knnMatch(Mat queryDescriptors,
List<MatOfDMatch> matches,
int k,
List<Mat> masks) |
void |
DescriptorMatcher.knnMatch(Mat queryDescriptors,
List<MatOfDMatch> matches,
int k,
List<Mat> masks,
boolean compactResult) |
void |
DescriptorMatcher.knnMatch(Mat queryDescriptors,
Mat trainDescriptors,
List<MatOfDMatch> matches,
int k) |
void |
DescriptorMatcher.knnMatch(Mat queryDescriptors,
Mat trainDescriptors,
List<MatOfDMatch> matches,
int k,
Mat mask) |
void |
DescriptorMatcher.knnMatch(Mat queryDescriptors,
Mat trainDescriptors,
List<MatOfDMatch> matches,
int k,
Mat mask,
boolean compactResult) |
void |
DescriptorMatcher.match(Mat queryDescriptors,
Mat trainDescriptors,
MatOfDMatch matches) |
void |
DescriptorMatcher.match(Mat queryDescriptors,
Mat trainDescriptors,
MatOfDMatch matches,
Mat mask) |
void |
DescriptorMatcher.match(Mat queryDescriptors,
MatOfDMatch matches) |
void |
DescriptorMatcher.match(Mat queryDescriptors,
MatOfDMatch matches,
List<Mat> masks) |
void |
DescriptorMatcher.radiusMatch(Mat queryDescriptors,
List<MatOfDMatch> matches,
float maxDistance) |
void |
DescriptorMatcher.radiusMatch(Mat queryDescriptors,
List<MatOfDMatch> matches,
float maxDistance,
List<Mat> masks) |
void |
DescriptorMatcher.radiusMatch(Mat queryDescriptors,
List<MatOfDMatch> matches,
float maxDistance,
List<Mat> masks,
boolean compactResult) |
void |
DescriptorMatcher.radiusMatch(Mat queryDescriptors,
Mat trainDescriptors,
List<MatOfDMatch> matches,
float maxDistance) |
void |
DescriptorMatcher.radiusMatch(Mat queryDescriptors,
Mat trainDescriptors,
List<MatOfDMatch> matches,
float maxDistance,
Mat mask) |
void |
DescriptorMatcher.radiusMatch(Mat queryDescriptors,
Mat trainDescriptors,
List<MatOfDMatch> matches,
float maxDistance,
Mat mask,
boolean compactResult) |
void |
BOWImgDescriptorExtractor.setVocabulary(Mat vocabulary) |
| Modifier and Type | Method and Description |
|---|---|
void |
DescriptorMatcher.add(List<Mat> descriptors) |
void |
Feature2D.compute(List<Mat> images,
List<MatOfKeyPoint> keypoints,
List<Mat> descriptors) |
void |
Feature2D.compute(List<Mat> images,
List<MatOfKeyPoint> keypoints,
List<Mat> descriptors) |
void |
DescriptorExtractor.compute(List<Mat> images,
List<MatOfKeyPoint> keypoints,
List<Mat> descriptors)
Deprecated.
|
void |
DescriptorExtractor.compute(List<Mat> images,
List<MatOfKeyPoint> keypoints,
List<Mat> descriptors)
Deprecated.
|
void |
Feature2D.detect(List<Mat> images,
List<MatOfKeyPoint> keypoints) |
void |
FeatureDetector.detect(List<Mat> images,
List<MatOfKeyPoint> keypoints)
Deprecated.
|
void |
Feature2D.detect(List<Mat> images,
List<MatOfKeyPoint> keypoints,
List<Mat> masks) |
void |
Feature2D.detect(List<Mat> images,
List<MatOfKeyPoint> keypoints,
List<Mat> masks) |
void |
FeatureDetector.detect(List<Mat> images,
List<MatOfKeyPoint> keypoints,
List<Mat> masks)
Deprecated.
|
void |
FeatureDetector.detect(List<Mat> images,
List<MatOfKeyPoint> keypoints,
List<Mat> masks)
Deprecated.
|
void |
DescriptorMatcher.knnMatch(Mat queryDescriptors,
List<MatOfDMatch> matches,
int k,
List<Mat> masks) |
void |
DescriptorMatcher.knnMatch(Mat queryDescriptors,
List<MatOfDMatch> matches,
int k,
List<Mat> masks,
boolean compactResult) |
void |
DescriptorMatcher.match(Mat queryDescriptors,
MatOfDMatch matches,
List<Mat> masks) |
void |
DescriptorMatcher.radiusMatch(Mat queryDescriptors,
List<MatOfDMatch> matches,
float maxDistance,
List<Mat> masks) |
void |
DescriptorMatcher.radiusMatch(Mat queryDescriptors,
List<MatOfDMatch> matches,
float maxDistance,
List<Mat> masks,
boolean compactResult) |
| Modifier and Type | Field and Description |
|---|---|
Mat |
ImageWindow.img |
| Modifier and Type | Method and Description |
|---|---|
static void |
HighGui.imshow(String winname,
Mat img) |
void |
ImageWindow.setMat(Mat img) |
static Image |
HighGui.toBufferedImage(Mat m) |
| Constructor and Description |
|---|
ImageWindow(String name,
Mat img) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Img_hash.averageHash(Mat inputArr,
Mat outputArr) |
static void |
Img_hash.blockMeanHash(Mat inputArr,
Mat outputArr) |
static void |
Img_hash.blockMeanHash(Mat inputArr,
Mat outputArr,
int mode) |
static void |
Img_hash.colorMomentHash(Mat inputArr,
Mat outputArr) |
double |
ImgHashBase.compare(Mat hashOne,
Mat hashTwo) |
void |
ImgHashBase.compute(Mat inputArr,
Mat outputArr) |
static void |
Img_hash.marrHildrethHash(Mat inputArr,
Mat outputArr) |
static void |
Img_hash.marrHildrethHash(Mat inputArr,
Mat outputArr,
float alpha) |
static void |
Img_hash.marrHildrethHash(Mat inputArr,
Mat outputArr,
float alpha,
float scale) |
static void |
Img_hash.pHash(Mat inputArr,
Mat outputArr) |
static void |
Img_hash.radialVarianceHash(Mat inputArr,
Mat outputArr) |
static void |
Img_hash.radialVarianceHash(Mat inputArr,
Mat outputArr,
double sigma) |
static void |
Img_hash.radialVarianceHash(Mat inputArr,
Mat outputArr,
double sigma,
int numOfAngleLine) |
| Modifier and Type | Method and Description |
|---|---|
static Mat |
Imgcodecs.imdecode(Mat buf,
int flags) |
static Mat |
Imgcodecs.imread(String filename) |
static Mat |
Imgcodecs.imread(String filename,
int flags) |
| Modifier and Type | Method and Description |
|---|---|
static Mat |
Imgcodecs.imdecode(Mat buf,
int flags) |
static boolean |
Imgcodecs.imencode(String ext,
Mat img,
MatOfByte buf) |
static boolean |
Imgcodecs.imencode(String ext,
Mat img,
MatOfByte buf,
MatOfInt params) |
static boolean |
Imgcodecs.imwrite(String filename,
Mat img) |
static boolean |
Imgcodecs.imwrite(String filename,
Mat img,
MatOfInt params) |
| Modifier and Type | Method and Description |
|---|---|
static boolean |
Imgcodecs.imreadmulti(String filename,
List<Mat> mats) |
static boolean |
Imgcodecs.imreadmulti(String filename,
List<Mat> mats,
int flags) |
| Modifier and Type | Method and Description |
|---|---|
static Mat |
Imgproc.getAffineTransform(MatOfPoint2f src,
MatOfPoint2f dst) |
static Mat |
Imgproc.getDefaultNewCameraMatrix(Mat cameraMatrix) |
static Mat |
Imgproc.getDefaultNewCameraMatrix(Mat cameraMatrix,
Size imgsize) |
static Mat |
Imgproc.getDefaultNewCameraMatrix(Mat cameraMatrix,
Size imgsize,
boolean centerPrincipalPoint) |
static Mat |
Imgproc.getGaborKernel(Size ksize,
double sigma,
double theta,
double lambd,
double gamma) |
static Mat |
Imgproc.getGaborKernel(Size ksize,
double sigma,
double theta,
double lambd,
double gamma,
double psi) |
static Mat |
Imgproc.getGaborKernel(Size ksize,
double sigma,
double theta,
double lambd,
double gamma,
double psi,
int ktype) |
static Mat |
Imgproc.getGaussianKernel(int ksize,
double sigma) |
static Mat |
Imgproc.getGaussianKernel(int ksize,
double sigma,
int ktype) |
static Mat |
Imgproc.getPerspectiveTransform(Mat src,
Mat dst) |
static Mat |
Imgproc.getRotationMatrix2D(Point center,
double angle,
double scale) |
static Mat |
Imgproc.getStructuringElement(int shape,
Size ksize) |
static Mat |
Imgproc.getStructuringElement(int shape,
Size ksize,
Point anchor) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Imgproc.accumulate(Mat src,
Mat dst) |
static void |
Imgproc.accumulate(Mat src,
Mat dst,
Mat mask) |
static void |
Imgproc.accumulateProduct(Mat src1,
Mat src2,
Mat dst) |
static void |
Imgproc.accumulateProduct(Mat src1,
Mat src2,
Mat dst,
Mat mask) |
static void |
Imgproc.accumulateSquare(Mat src,
Mat dst) |
static void |
Imgproc.accumulateSquare(Mat src,
Mat dst,
Mat mask) |
static void |
Imgproc.accumulateWeighted(Mat src,
Mat dst,
double alpha) |
static void |
Imgproc.accumulateWeighted(Mat src,
Mat dst,
double alpha,
Mat mask) |
static void |
Imgproc.adaptiveThreshold(Mat src,
Mat dst,
double maxValue,
int adaptiveMethod,
int thresholdType,
int blockSize,
double C) |
void |
CLAHE.apply(Mat src,
Mat dst) |
static void |
Imgproc.applyColorMap(Mat src,
Mat dst,
int colormap) |
static void |
Imgproc.applyColorMap(Mat src,
Mat dst,
Mat userColor) |
static void |
Imgproc.arrowedLine(Mat img,
Point pt1,
Point pt2,
Scalar color) |
static void |
Imgproc.arrowedLine(Mat img,
Point pt1,
Point pt2,
Scalar color,
int thickness) |
static void |
Imgproc.arrowedLine(Mat img,
Point pt1,
Point pt2,
Scalar color,
int thickness,
int line_type) |
static void |
Imgproc.arrowedLine(Mat img,
Point pt1,
Point pt2,
Scalar color,
int thickness,
int line_type,
int shift) |
static void |
Imgproc.arrowedLine(Mat img,
Point pt1,
Point pt2,
Scalar color,
int thickness,
int line_type,
int shift,
double tipLength) |
static void |
Imgproc.bilateralFilter(Mat src,
Mat dst,
int d,
double sigmaColor,
double sigmaSpace) |
static void |
Imgproc.bilateralFilter(Mat src,
Mat dst,
int d,
double sigmaColor,
double sigmaSpace,
int borderType) |
static void |
Imgproc.blur(Mat src,
Mat dst,
Size ksize) |
static void |
Imgproc.blur(Mat src,
Mat dst,
Size ksize,
Point anchor) |
static void |
Imgproc.blur(Mat src,
Mat dst,
Size ksize,
Point anchor,
int borderType) |
static void |
Imgproc.boxFilter(Mat src,
Mat dst,
int ddepth,
Size ksize) |
static void |
Imgproc.boxFilter(Mat src,
Mat dst,
int ddepth,
Size ksize,
Point anchor) |
static void |
Imgproc.boxFilter(Mat src,
Mat dst,
int ddepth,
Size ksize,
Point anchor,
boolean normalize) |
static void |
Imgproc.boxFilter(Mat src,
Mat dst,
int ddepth,
Size ksize,
Point anchor,
boolean normalize,
int borderType) |
static void |
Imgproc.boxPoints(RotatedRect box,
Mat points) |
static void |
Imgproc.calcBackProject(List<Mat> images,
MatOfInt channels,
Mat hist,
Mat dst,
MatOfFloat ranges,
double scale) |
static void |
Imgproc.calcHist(List<Mat> images,
MatOfInt channels,
Mat mask,
Mat hist,
MatOfInt histSize,
MatOfFloat ranges) |
static void |
Imgproc.calcHist(List<Mat> images,
MatOfInt channels,
Mat mask,
Mat hist,
MatOfInt histSize,
MatOfFloat ranges,
boolean accumulate) |
static void |
Imgproc.Canny(Mat image,
Mat edges,
double threshold1,
double threshold2) |
static void |
Imgproc.Canny(Mat image,
Mat edges,
double threshold1,
double threshold2,
int apertureSize) |
static void |
Imgproc.Canny(Mat image,
Mat edges,
double threshold1,
double threshold2,
int apertureSize,
boolean L2gradient) |
static void |
Imgproc.Canny(Mat dx,
Mat dy,
Mat edges,
double threshold1,
double threshold2) |
static void |
Imgproc.Canny(Mat dx,
Mat dy,
Mat edges,
double threshold1,
double threshold2,
boolean L2gradient) |
static void |
Imgproc.circle(Mat img,
Point center,
int radius,
Scalar color) |
static void |
Imgproc.circle(Mat img,
Point center,
int radius,
Scalar color,
int thickness) |
static void |
Imgproc.circle(Mat img,
Point center,
int radius,
Scalar color,
int thickness,
int lineType) |
static void |
Imgproc.circle(Mat img,
Point center,
int radius,
Scalar color,
int thickness,
int lineType,
int shift) |
static double |
Imgproc.compareHist(Mat H1,
Mat H2,
int method) |
int |
LineSegmentDetector.compareSegments(Size size,
Mat lines1,
Mat lines2) |
int |
LineSegmentDetector.compareSegments(Size size,
Mat lines1,
Mat lines2,
Mat _image) |
static int |
Imgproc.connectedComponents(Mat image,
Mat labels) |
static int |
Imgproc.connectedComponents(Mat image,
Mat labels,
int connectivity) |
static int |
Imgproc.connectedComponents(Mat image,
Mat labels,
int connectivity,
int ltype) |
static int |
Imgproc.connectedComponentsWithAlgorithm(Mat image,
Mat labels,
int connectivity,
int ltype,
int ccltype) |
static int |
Imgproc.connectedComponentsWithStats(Mat image,
Mat labels,
Mat stats,
Mat centroids) |
static int |
Imgproc.connectedComponentsWithStats(Mat image,
Mat labels,
Mat stats,
Mat centroids,
int connectivity) |
static int |
Imgproc.connectedComponentsWithStats(Mat image,
Mat labels,
Mat stats,
Mat centroids,
int connectivity,
int ltype) |
static int |
Imgproc.connectedComponentsWithStatsWithAlgorithm(Mat image,
Mat labels,
Mat stats,
Mat centroids,
int connectivity,
int ltype,
int ccltype) |
static double |
Imgproc.contourArea(Mat contour) |
static double |
Imgproc.contourArea(Mat contour,
boolean oriented) |
static void |
Imgproc.convertMaps(Mat map1,
Mat map2,
Mat dstmap1,
Mat dstmap2,
int dstmap1type) |
static void |
Imgproc.convertMaps(Mat map1,
Mat map2,
Mat dstmap1,
Mat dstmap2,
int dstmap1type,
boolean nninterpolation) |
static void |
Imgproc.cornerEigenValsAndVecs(Mat src,
Mat dst,
int blockSize,
int ksize) |
static void |
Imgproc.cornerEigenValsAndVecs(Mat src,
Mat dst,
int blockSize,
int ksize,
int borderType) |
static void |
Imgproc.cornerHarris(Mat src,
Mat dst,
int blockSize,
int ksize,
double k) |
static void |
Imgproc.cornerHarris(Mat src,
Mat dst,
int blockSize,
int ksize,
double k,
int borderType) |
static void |
Imgproc.cornerMinEigenVal(Mat src,
Mat dst,
int blockSize) |
static void |
Imgproc.cornerMinEigenVal(Mat src,
Mat dst,
int blockSize,
int ksize) |
static void |
Imgproc.cornerMinEigenVal(Mat src,
Mat dst,
int blockSize,
int ksize,
int borderType) |
static void |
Imgproc.cornerSubPix(Mat image,
Mat corners,
Size winSize,
Size zeroZone,
TermCriteria criteria) |
static void |
Imgproc.createHanningWindow(Mat dst,
Size winSize,
int type) |
static void |
Imgproc.cvtColor(Mat src,
Mat dst,
int code) |
static void |
Imgproc.cvtColor(Mat src,
Mat dst,
int code,
int dstCn) |
static void |
Imgproc.cvtColorTwoPlane(Mat src1,
Mat src2,
Mat dst,
int code) |
static void |
Imgproc.demosaicing(Mat _src,
Mat _dst,
int code) |
static void |
Imgproc.demosaicing(Mat _src,
Mat _dst,
int code,
int dcn) |
void |
LineSegmentDetector.detect(Mat _image,
Mat _lines) |
void |
LineSegmentDetector.detect(Mat _image,
Mat _lines,
Mat width) |
void |
LineSegmentDetector.detect(Mat _image,
Mat _lines,
Mat width,
Mat prec) |
void |
LineSegmentDetector.detect(Mat _image,
Mat _lines,
Mat width,
Mat prec,
Mat nfa) |
static void |
Imgproc.dilate(Mat src,
Mat dst,
Mat kernel) |
static void |
Imgproc.dilate(Mat src,
Mat dst,
Mat kernel,
Point anchor) |
static void |
Imgproc.dilate(Mat src,
Mat dst,
Mat kernel,
Point anchor,
int iterations) |
static void |
Imgproc.dilate(Mat src,
Mat dst,
Mat kernel,
Point anchor,
int iterations,
int borderType) |
static void |
Imgproc.dilate(Mat src,
Mat dst,
Mat kernel,
Point anchor,
int iterations,
int borderType,
Scalar borderValue) |
static void |
Imgproc.distanceTransform(Mat src,
Mat dst,
int distanceType,
int maskSize) |
static void |
Imgproc.distanceTransform(Mat src,
Mat dst,
int distanceType,
int maskSize,
int dstType) |
static void |
Imgproc.distanceTransformWithLabels(Mat src,
Mat dst,
Mat labels,
int distanceType,
int maskSize) |
static void |
Imgproc.distanceTransformWithLabels(Mat src,
Mat dst,
Mat labels,
int distanceType,
int maskSize,
int labelType) |
static void |
Imgproc.drawContours(Mat image,
List<MatOfPoint> contours,
int contourIdx,
Scalar color) |
static void |
Imgproc.drawContours(Mat image,
List<MatOfPoint> contours,
int contourIdx,
Scalar color,
int thickness) |
static void |
Imgproc.drawContours(Mat image,
List<MatOfPoint> contours,
int contourIdx,
Scalar color,
int thickness,
int lineType) |
static void |
Imgproc.drawContours(Mat image,
List<MatOfPoint> contours,
int contourIdx,
Scalar color,
int thickness,
int lineType,
Mat hierarchy) |
static void |
Imgproc.drawContours(Mat image,
List<MatOfPoint> contours,
int contourIdx,
Scalar color,
int thickness,
int lineType,
Mat hierarchy,
int maxLevel) |
static void |
Imgproc.drawContours(Mat image,
List<MatOfPoint> contours,
int contourIdx,
Scalar color,
int thickness,
int lineType,
Mat hierarchy,
int maxLevel,
Point offset) |
static void |
Imgproc.drawMarker(Mat img,
Point position,
Scalar color) |
static void |
Imgproc.drawMarker(Mat img,
Point position,
Scalar color,
int markerType) |
static void |
Imgproc.drawMarker(Mat img,
Point position,
Scalar color,
int markerType,
int markerSize) |
static void |
Imgproc.drawMarker(Mat img,
Point position,
Scalar color,
int markerType,
int markerSize,
int thickness) |
static void |
Imgproc.drawMarker(Mat img,
Point position,
Scalar color,
int markerType,
int markerSize,
int thickness,
int line_type) |
void |
LineSegmentDetector.drawSegments(Mat _image,
Mat lines) |
static void |
Imgproc.ellipse(Mat img,
Point center,
Size axes,
double angle,
double startAngle,
double endAngle,
Scalar color) |
static void |
Imgproc.ellipse(Mat img,
Point center,
Size axes,
double angle,
double startAngle,
double endAngle,
Scalar color,
int thickness) |
static void |
Imgproc.ellipse(Mat img,
Point center,
Size axes,
double angle,
double startAngle,
double endAngle,
Scalar color,
int thickness,
int lineType) |
static void |
Imgproc.ellipse(Mat img,
Point center,
Size axes,
double angle,
double startAngle,
double endAngle,
Scalar color,
int thickness,
int lineType,
int shift) |
static void |
Imgproc.ellipse(Mat img,
RotatedRect box,
Scalar color) |
static void |
Imgproc.ellipse(Mat img,
RotatedRect box,
Scalar color,
int thickness) |
static void |
Imgproc.ellipse(Mat img,
RotatedRect box,
Scalar color,
int thickness,
int lineType) |
static float |
Imgproc.EMD(Mat signature1,
Mat signature2,
int distType) |
static float |
Imgproc.EMD(Mat signature1,
Mat signature2,
int distType,
Mat cost) |
static float |
Imgproc.EMD(Mat signature1,
Mat signature2,
int distType,
Mat cost,
Mat flow) |
static void |
Imgproc.equalizeHist(Mat src,
Mat dst) |
static void |
Imgproc.erode(Mat src,
Mat dst,
Mat kernel) |
static void |
Imgproc.erode(Mat src,
Mat dst,
Mat kernel,
Point anchor) |
static void |
Imgproc.erode(Mat src,
Mat dst,
Mat kernel,
Point anchor,
int iterations) |
static void |
Imgproc.erode(Mat src,
Mat dst,
Mat kernel,
Point anchor,
int iterations,
int borderType) |
static void |
Imgproc.erode(Mat src,
Mat dst,
Mat kernel,
Point anchor,
int iterations,
int borderType,
Scalar borderValue) |
static void |
Imgproc.fillConvexPoly(Mat img,
MatOfPoint points,
Scalar color) |
static void |
Imgproc.fillConvexPoly(Mat img,
MatOfPoint points,
Scalar color,
int lineType) |
static void |
Imgproc.fillConvexPoly(Mat img,
MatOfPoint points,
Scalar color,
int lineType,
int shift) |
static void |
Imgproc.fillPoly(Mat img,
List<MatOfPoint> pts,
Scalar color) |
static void |
Imgproc.fillPoly(Mat img,
List<MatOfPoint> pts,
Scalar color,
int lineType) |
static void |
Imgproc.fillPoly(Mat img,
List<MatOfPoint> pts,
Scalar color,
int lineType,
int shift) |
static void |
Imgproc.fillPoly(Mat img,
List<MatOfPoint> pts,
Scalar color,
int lineType,
int shift,
Point offset) |
static void |
Imgproc.filter2D(Mat src,
Mat dst,
int ddepth,
Mat kernel) |
static void |
Imgproc.filter2D(Mat src,
Mat dst,
int ddepth,
Mat kernel,
Point anchor) |
static void |
Imgproc.filter2D(Mat src,
Mat dst,
int ddepth,
Mat kernel,
Point anchor,
double delta) |
static void |
Imgproc.filter2D(Mat src,
Mat dst,
int ddepth,
Mat kernel,
Point anchor,
double delta,
int borderType) |
static void |
Imgproc.findContours(Mat image,
List<MatOfPoint> contours,
Mat hierarchy,
int mode,
int method) |
static void |
Imgproc.findContours(Mat image,
List<MatOfPoint> contours,
Mat hierarchy,
int mode,
int method,
Point offset) |
static RotatedRect |
Imgproc.fitEllipseAMS(Mat points) |
static RotatedRect |
Imgproc.fitEllipseDirect(Mat points) |
static void |
Imgproc.fitLine(Mat points,
Mat line,
int distType,
double param,
double reps,
double aeps) |
static int |
Imgproc.floodFill(Mat image,
Mat mask,
Point seedPoint,
Scalar newVal) |
static int |
Imgproc.floodFill(Mat image,
Mat mask,
Point seedPoint,
Scalar newVal,
Rect rect) |
static int |
Imgproc.floodFill(Mat image,
Mat mask,
Point seedPoint,
Scalar newVal,
Rect rect,
Scalar loDiff) |
static int |
Imgproc.floodFill(Mat image,
Mat mask,
Point seedPoint,
Scalar newVal,
Rect rect,
Scalar loDiff,
Scalar upDiff) |
static int |
Imgproc.floodFill(Mat image,
Mat mask,
Point seedPoint,
Scalar newVal,
Rect rect,
Scalar loDiff,
Scalar upDiff,
int flags) |
static void |
Imgproc.GaussianBlur(Mat src,
Mat dst,
Size ksize,
double sigmaX) |
static void |
Imgproc.GaussianBlur(Mat src,
Mat dst,
Size ksize,
double sigmaX,
double sigmaY) |
static void |
Imgproc.GaussianBlur(Mat src,
Mat dst,
Size ksize,
double sigmaX,
double sigmaY,
int borderType) |
static Mat |
Imgproc.getDefaultNewCameraMatrix(Mat cameraMatrix) |
static Mat |
Imgproc.getDefaultNewCameraMatrix(Mat cameraMatrix,
Size imgsize) |
static Mat |
Imgproc.getDefaultNewCameraMatrix(Mat cameraMatrix,
Size imgsize,
boolean centerPrincipalPoint) |
static void |
Imgproc.getDerivKernels(Mat kx,
Mat ky,
int dx,
int dy,
int ksize) |
static void |
Imgproc.getDerivKernels(Mat kx,
Mat ky,
int dx,
int dy,
int ksize,
boolean normalize) |
static void |
Imgproc.getDerivKernels(Mat kx,
Mat ky,
int dx,
int dy,
int ksize,
boolean normalize,
int ktype) |
static Mat |
Imgproc.getPerspectiveTransform(Mat src,
Mat dst) |
static void |
Imgproc.getRectSubPix(Mat image,
Size patchSize,
Point center,
Mat patch) |
static void |
Imgproc.getRectSubPix(Mat image,
Size patchSize,
Point center,
Mat patch,
int patchType) |
static void |
Imgproc.goodFeaturesToTrack(Mat image,
MatOfPoint corners,
int maxCorners,
double qualityLevel,
double minDistance) |
static void |
Imgproc.goodFeaturesToTrack(Mat image,
MatOfPoint corners,
int maxCorners,
double qualityLevel,
double minDistance,
Mat mask) |
static void |
Imgproc.goodFeaturesToTrack(Mat image,
MatOfPoint corners,
int maxCorners,
double qualityLevel,
double minDistance,
Mat mask,
int blockSize) |
static void |
Imgproc.goodFeaturesToTrack(Mat image,
MatOfPoint corners,
int maxCorners,
double qualityLevel,
double minDistance,
Mat mask,
int blockSize,
boolean useHarrisDetector) |
static void |
Imgproc.goodFeaturesToTrack(Mat image,
MatOfPoint corners,
int maxCorners,
double qualityLevel,
double minDistance,
Mat mask,
int blockSize,
boolean useHarrisDetector,
double k) |
static void |
Imgproc.goodFeaturesToTrack(Mat image,
MatOfPoint corners,
int maxCorners,
double qualityLevel,
double minDistance,
Mat mask,
int blockSize,
int gradientSize) |
static void |
Imgproc.goodFeaturesToTrack(Mat image,
MatOfPoint corners,
int maxCorners,
double qualityLevel,
double minDistance,
Mat mask,
int blockSize,
int gradientSize,
boolean useHarrisDetector) |
static void |
Imgproc.goodFeaturesToTrack(Mat image,
MatOfPoint corners,
int maxCorners,
double qualityLevel,
double minDistance,
Mat mask,
int blockSize,
int gradientSize,
boolean useHarrisDetector,
double k) |
static void |
Imgproc.grabCut(Mat img,
Mat mask,
Rect rect,
Mat bgdModel,
Mat fgdModel,
int iterCount) |
static void |
Imgproc.grabCut(Mat img,
Mat mask,
Rect rect,
Mat bgdModel,
Mat fgdModel,
int iterCount,
int mode) |
static void |
Imgproc.HoughCircles(Mat image,
Mat circles,
int method,
double dp,
double minDist) |
static void |
Imgproc.HoughCircles(Mat image,
Mat circles,
int method,
double dp,
double minDist,
double param1) |
static void |
Imgproc.HoughCircles(Mat image,
Mat circles,
int method,
double dp,
double minDist,
double param1,
double param2) |
static void |
Imgproc.HoughCircles(Mat image,
Mat circles,
int method,
double dp,
double minDist,
double param1,
double param2,
int minRadius) |
static void |
Imgproc.HoughCircles(Mat image,
Mat circles,
int method,
double dp,
double minDist,
double param1,
double param2,
int minRadius,
int maxRadius) |
static void |
Imgproc.HoughLines(Mat image,
Mat lines,
double rho,
double theta,
int threshold) |
static void |
Imgproc.HoughLines(Mat image,
Mat lines,
double rho,
double theta,
int threshold,
double srn) |
static void |
Imgproc.HoughLines(Mat image,
Mat lines,
double rho,
double theta,
int threshold,
double srn,
double stn) |
static void |
Imgproc.HoughLines(Mat image,
Mat lines,
double rho,
double theta,
int threshold,
double srn,
double stn,
double min_theta) |
static void |
Imgproc.HoughLines(Mat image,
Mat lines,
double rho,
double theta,
int threshold,
double srn,
double stn,
double min_theta,
double max_theta) |
static void |
Imgproc.HoughLinesP(Mat image,
Mat lines,
double rho,
double theta,
int threshold) |
static void |
Imgproc.HoughLinesP(Mat image,
Mat lines,
double rho,
double theta,
int threshold,
double minLineLength) |
static void |
Imgproc.HoughLinesP(Mat image,
Mat lines,
double rho,
double theta,
int threshold,
double minLineLength,
double maxLineGap) |
static void |
Imgproc.HoughLinesPointSet(Mat _point,
Mat _lines,
int lines_max,
int threshold,
double min_rho,
double max_rho,
double rho_step,
double min_theta,
double max_theta,
double theta_step) |
static void |
Imgproc.HuMoments(Moments m,
Mat hu) |
static void |
Imgproc.initUndistortRectifyMap(Mat cameraMatrix,
Mat distCoeffs,
Mat R,
Mat newCameraMatrix,
Size size,
int m1type,
Mat map1,
Mat map2) |
static float |
Imgproc.initWideAngleProjMap(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
int destImageWidth,
int m1type,
Mat map1,
Mat map2) |
static float |
Imgproc.initWideAngleProjMap(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
int destImageWidth,
int m1type,
Mat map1,
Mat map2,
int projType) |
static float |
Imgproc.initWideAngleProjMap(Mat cameraMatrix,
Mat distCoeffs,
Size imageSize,
int destImageWidth,
int m1type,
Mat map1,
Mat map2,
int projType,
double alpha) |
static void |
Imgproc.integral(Mat src,
Mat sum) |
static void |
Imgproc.integral(Mat src,
Mat sum,
int sdepth) |
static void |
Imgproc.integral2(Mat src,
Mat sum,
Mat sqsum) |
static void |
Imgproc.integral2(Mat src,
Mat sum,
Mat sqsum,
int sdepth) |
static void |
Imgproc.integral2(Mat src,
Mat sum,
Mat sqsum,
int sdepth,
int sqdepth) |
static void |
Imgproc.integral3(Mat src,
Mat sum,
Mat sqsum,
Mat tilted) |
static void |
Imgproc.integral3(Mat src,
Mat sum,
Mat sqsum,
Mat tilted,
int sdepth) |
static void |
Imgproc.integral3(Mat src,
Mat sum,
Mat sqsum,
Mat tilted,
int sdepth,
int sqdepth) |
static float |
Imgproc.intersectConvexConvex(Mat _p1,
Mat _p2,
Mat _p12) |
static float |
Imgproc.intersectConvexConvex(Mat _p1,
Mat _p2,
Mat _p12,
boolean handleNested) |
static void |
Imgproc.invertAffineTransform(Mat M,
Mat iM) |
static void |
Imgproc.Laplacian(Mat src,
Mat dst,
int ddepth) |
static void |
Imgproc.Laplacian(Mat src,
Mat dst,
int ddepth,
int ksize) |
static void |
Imgproc.Laplacian(Mat src,
Mat dst,
int ddepth,
int ksize,
double scale) |
static void |
Imgproc.Laplacian(Mat src,
Mat dst,
int ddepth,
int ksize,
double scale,
double delta) |
static void |
Imgproc.Laplacian(Mat src,
Mat dst,
int ddepth,
int ksize,
double scale,
double delta,
int borderType) |
static void |
Imgproc.line(Mat img,
Point pt1,
Point pt2,
Scalar color) |
static void |
Imgproc.line(Mat img,
Point pt1,
Point pt2,
Scalar color,
int thickness) |
static void |
Imgproc.line(Mat img,
Point pt1,
Point pt2,
Scalar color,
int thickness,
int lineType) |
static void |
Imgproc.line(Mat img,
Point pt1,
Point pt2,
Scalar color,
int thickness,
int lineType,
int shift) |
static void |
Imgproc.linearPolar(Mat src,
Mat dst,
Point center,
double maxRadius,
int flags)
Deprecated.
|
static void |
Imgproc.logPolar(Mat src,
Mat dst,
Point center,
double M,
int flags)
Deprecated.
|
static double |
Imgproc.matchShapes(Mat contour1,
Mat contour2,
int method,
double parameter) |
static void |
Imgproc.matchTemplate(Mat image,
Mat templ,
Mat result,
int method) |
static void |
Imgproc.matchTemplate(Mat image,
Mat templ,
Mat result,
int method,
Mat mask) |
static void |
Imgproc.medianBlur(Mat src,
Mat dst,
int ksize) |
static double |
Imgproc.minEnclosingTriangle(Mat points,
Mat triangle) |
static Moments |
Imgproc.moments(Mat array) |
static Moments |
Imgproc.moments(Mat array,
boolean binaryImage) |
static void |
Imgproc.morphologyEx(Mat src,
Mat dst,
int op,
Mat kernel) |
static void |
Imgproc.morphologyEx(Mat src,
Mat dst,
int op,
Mat kernel,
Point anchor) |
static void |
Imgproc.morphologyEx(Mat src,
Mat dst,
int op,
Mat kernel,
Point anchor,
int iterations) |
static void |
Imgproc.morphologyEx(Mat src,
Mat dst,
int op,
Mat kernel,
Point anchor,
int iterations,
int borderType) |
static void |
Imgproc.morphologyEx(Mat src,
Mat dst,
int op,
Mat kernel,
Point anchor,
int iterations,
int borderType,
Scalar borderValue) |
static Point |
Imgproc.phaseCorrelate(Mat src1,
Mat src2) |
static Point |
Imgproc.phaseCorrelate(Mat src1,
Mat src2,
Mat window) |
static Point |
Imgproc.phaseCorrelate(Mat src1,
Mat src2,
Mat window,
double[] response) |
static void |
Imgproc.polylines(Mat img,
List<MatOfPoint> pts,
boolean isClosed,
Scalar color) |
static void |
Imgproc.polylines(Mat img,
List<MatOfPoint> pts,
boolean isClosed,
Scalar color,
int thickness) |
static void |
Imgproc.polylines(Mat img,
List<MatOfPoint> pts,
boolean isClosed,
Scalar color,
int thickness,
int lineType) |
static void |
Imgproc.polylines(Mat img,
List<MatOfPoint> pts,
boolean isClosed,
Scalar color,
int thickness,
int lineType,
int shift) |
static void |
Imgproc.preCornerDetect(Mat src,
Mat dst,
int ksize) |
static void |
Imgproc.preCornerDetect(Mat src,
Mat dst,
int ksize,
int borderType) |
static void |
Imgproc.putText(Mat img,
String text,
Point org,
int fontFace,
double fontScale,
Scalar color) |
static void |
Imgproc.putText(Mat img,
String text,
Point org,
int fontFace,
double fontScale,
Scalar color,
int thickness) |
static void |
Imgproc.putText(Mat img,
String text,
Point org,
int fontFace,
double fontScale,
Scalar color,
int thickness,
int lineType) |
static void |
Imgproc.putText(Mat img,
String text,
Point org,
int fontFace,
double fontScale,
Scalar color,
int thickness,
int lineType,
boolean bottomLeftOrigin) |
static void |
Imgproc.pyrDown(Mat src,
Mat dst) |
static void |
Imgproc.pyrDown(Mat src,
Mat dst,
Size dstsize) |
static void |
Imgproc.pyrDown(Mat src,
Mat dst,
Size dstsize,
int borderType) |
static void |
Imgproc.pyrMeanShiftFiltering(Mat src,
Mat dst,
double sp,
double sr) |
static void |
Imgproc.pyrMeanShiftFiltering(Mat src,
Mat dst,
double sp,
double sr,
int maxLevel) |
static void |
Imgproc.pyrMeanShiftFiltering(Mat src,
Mat dst,
double sp,
double sr,
int maxLevel,
TermCriteria termcrit) |
static void |
Imgproc.pyrUp(Mat src,
Mat dst) |
static void |
Imgproc.pyrUp(Mat src,
Mat dst,
Size dstsize) |
static void |
Imgproc.pyrUp(Mat src,
Mat dst,
Size dstsize,
int borderType) |
static void |
Imgproc.rectangle(Mat img,
Point pt1,
Point pt2,
Scalar color) |
static void |
Imgproc.rectangle(Mat img,
Point pt1,
Point pt2,
Scalar color,
int thickness) |
static void |
Imgproc.rectangle(Mat img,
Point pt1,
Point pt2,
Scalar color,
int thickness,
int lineType) |
static void |
Imgproc.rectangle(Mat img,
Point pt1,
Point pt2,
Scalar color,
int thickness,
int lineType,
int shift) |
static void |
Imgproc.remap(Mat src,
Mat dst,
Mat map1,
Mat map2,
int interpolation) |
static void |
Imgproc.remap(Mat src,
Mat dst,
Mat map1,
Mat map2,
int interpolation,
int borderMode) |
static void |
Imgproc.remap(Mat src,
Mat dst,
Mat map1,
Mat map2,
int interpolation,
int borderMode,
Scalar borderValue) |
static void |
Imgproc.resize(Mat src,
Mat dst,
Size dsize) |
static void |
Imgproc.resize(Mat src,
Mat dst,
Size dsize,
double fx) |
static void |
Imgproc.resize(Mat src,
Mat dst,
Size dsize,
double fx,
double fy) |
static void |
Imgproc.resize(Mat src,
Mat dst,
Size dsize,
double fx,
double fy,
int interpolation) |
static int |
Imgproc.rotatedRectangleIntersection(RotatedRect rect1,
RotatedRect rect2,
Mat intersectingRegion) |
static void |
Imgproc.Scharr(Mat src,
Mat dst,
int ddepth,
int dx,
int dy) |
static void |
Imgproc.Scharr(Mat src,
Mat dst,
int ddepth,
int dx,
int dy,
double scale) |
static void |
Imgproc.Scharr(Mat src,
Mat dst,
int ddepth,
int dx,
int dy,
double scale,
double delta) |
static void |
Imgproc.Scharr(Mat src,
Mat dst,
int ddepth,
int dx,
int dy,
double scale,
double delta,
int borderType) |
static void |
Imgproc.sepFilter2D(Mat src,
Mat dst,
int ddepth,
Mat kernelX,
Mat kernelY) |
static void |
Imgproc.sepFilter2D(Mat src,
Mat dst,
int ddepth,
Mat kernelX,
Mat kernelY,
Point anchor) |
static void |
Imgproc.sepFilter2D(Mat src,
Mat dst,
int ddepth,
Mat kernelX,
Mat kernelY,
Point anchor,
double delta) |
static void |
Imgproc.sepFilter2D(Mat src,
Mat dst,
int ddepth,
Mat kernelX,
Mat kernelY,
Point anchor,
double delta,
int borderType) |
static void |
Imgproc.Sobel(Mat src,
Mat dst,
int ddepth,
int dx,
int dy) |
static void |
Imgproc.Sobel(Mat src,
Mat dst,
int ddepth,
int dx,
int dy,
int ksize) |
static void |
Imgproc.Sobel(Mat src,
Mat dst,
int ddepth,
int dx,
int dy,
int ksize,
double scale) |
static void |
Imgproc.Sobel(Mat src,
Mat dst,
int ddepth,
int dx,
int dy,
int ksize,
double scale,
double delta) |
static void |
Imgproc.Sobel(Mat src,
Mat dst,
int ddepth,
int dx,
int dy,
int ksize,
double scale,
double delta,
int borderType) |
static void |
Imgproc.spatialGradient(Mat src,
Mat dx,
Mat dy) |
static void |
Imgproc.spatialGradient(Mat src,
Mat dx,
Mat dy,
int ksize) |
static void |
Imgproc.spatialGradient(Mat src,
Mat dx,
Mat dy,
int ksize,
int borderType) |
static void |
Imgproc.sqrBoxFilter(Mat _src,
Mat _dst,
int ddepth,
Size ksize) |
static void |
Imgproc.sqrBoxFilter(Mat _src,
Mat _dst,
int ddepth,
Size ksize,
Point anchor) |
static void |
Imgproc.sqrBoxFilter(Mat _src,
Mat _dst,
int ddepth,
Size ksize,
Point anchor,
boolean normalize) |
static void |
Imgproc.sqrBoxFilter(Mat _src,
Mat _dst,
int ddepth,
Size ksize,
Point anchor,
boolean normalize,
int borderType) |
static double |
Imgproc.threshold(Mat src,
Mat dst,
double thresh,
double maxval,
int type) |
static void |
Imgproc.undistort(Mat src,
Mat dst,
Mat cameraMatrix,
Mat distCoeffs) |
static void |
Imgproc.undistort(Mat src,
Mat dst,
Mat cameraMatrix,
Mat distCoeffs,
Mat newCameraMatrix) |
static void |
Imgproc.undistortPoints(Mat src,
Mat dst,
Mat cameraMatrix,
Mat distCoeffs) |
static void |
Imgproc.undistortPoints(Mat src,
Mat dst,
Mat cameraMatrix,
Mat distCoeffs,
Mat R) |
static void |
Imgproc.undistortPoints(Mat src,
Mat dst,
Mat cameraMatrix,
Mat distCoeffs,
Mat R,
Mat P) |
static void |
Imgproc.undistortPointsIter(Mat src,
Mat dst,
Mat cameraMatrix,
Mat distCoeffs,
Mat R,
Mat P,
TermCriteria criteria) |
static void |
Imgproc.warpAffine(Mat src,
Mat dst,
Mat M,
Size dsize) |
static void |
Imgproc.warpAffine(Mat src,
Mat dst,
Mat M,
Size dsize,
int flags) |
static void |
Imgproc.warpAffine(Mat src,
Mat dst,
Mat M,
Size dsize,
int flags,
int borderMode) |
static void |
Imgproc.warpAffine(Mat src,
Mat dst,
Mat M,
Size dsize,
int flags,
int borderMode,
Scalar borderValue) |
static void |
Imgproc.warpPerspective(Mat src,
Mat dst,
Mat M,
Size dsize) |
static void |
Imgproc.warpPerspective(Mat src,
Mat dst,
Mat M,
Size dsize,
int flags) |
static void |
Imgproc.warpPerspective(Mat src,
Mat dst,
Mat M,
Size dsize,
int flags,
int borderMode) |
static void |
Imgproc.warpPerspective(Mat src,
Mat dst,
Mat M,
Size dsize,
int flags,
int borderMode,
Scalar borderValue) |
static void |
Imgproc.warpPolar(Mat src,
Mat dst,
Size dsize,
Point center,
double maxRadius,
int flags) |
static void |
Imgproc.watershed(Mat image,
Mat markers) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Imgproc.calcBackProject(List<Mat> images,
MatOfInt channels,
Mat hist,
Mat dst,
MatOfFloat ranges,
double scale) |
static void |
Imgproc.calcHist(List<Mat> images,
MatOfInt channels,
Mat mask,
Mat hist,
MatOfInt histSize,
MatOfFloat ranges) |
static void |
Imgproc.calcHist(List<Mat> images,
MatOfInt channels,
Mat mask,
Mat hist,
MatOfInt histSize,
MatOfFloat ranges,
boolean accumulate) |
| Modifier and Type | Method and Description |
|---|---|
Mat |
LogisticRegression.get_learnt_thetas() |
Mat |
TrainData.getCatMap() |
Mat |
TrainData.getCatOfs() |
Mat |
TrainData.getClassLabels() |
Mat |
SVM.getClassWeights() |
Mat |
TrainData.getDefaultSubstValues() |
Mat |
ANN_MLP.getLayerSizes() |
Mat |
EM.getMeans() |
Mat |
TrainData.getMissing() |
Mat |
TrainData.getNormCatResponses() |
Mat |
DTrees.getPriors() |
Mat |
TrainData.getResponses() |
Mat |
TrainData.getSamples() |
Mat |
TrainData.getSampleWeights() |
static Mat |
TrainData.getSubMatrix(Mat matrix,
Mat idx,
int layout) |
static Mat |
TrainData.getSubVector(Mat vec,
Mat idx) |
Mat |
SVM.getSupportVectors() |
Mat |
TrainData.getTestNormCatResponses() |
Mat |
TrainData.getTestResponses() |
Mat |
TrainData.getTestSampleIdx() |
Mat |
TrainData.getTestSamples() |
Mat |
TrainData.getTestSampleWeights() |
Mat |
TrainData.getTrainNormCatResponses() |
Mat |
TrainData.getTrainResponses() |
Mat |
TrainData.getTrainSampleIdx() |
Mat |
TrainData.getTrainSamples() |
Mat |
TrainData.getTrainSamples(int layout) |
Mat |
TrainData.getTrainSamples(int layout,
boolean compressSamples) |
Mat |
TrainData.getTrainSamples(int layout,
boolean compressSamples,
boolean compressVars) |
Mat |
TrainData.getTrainSampleWeights() |
Mat |
SVM.getUncompressedSupportVectors() |
Mat |
TrainData.getVarIdx() |
Mat |
RTrees.getVarImportance() |
Mat |
TrainData.getVarSymbolFlags() |
Mat |
TrainData.getVarType() |
Mat |
EM.getWeights() |
Mat |
SVMSGD.getWeights() |
Mat |
ANN_MLP.getWeights(int layerIdx) |
| Modifier and Type | Method and Description |
|---|---|
float |
StatModel.calcError(TrainData data,
boolean test,
Mat resp) |
static TrainData |
TrainData.create(Mat samples,
int layout,
Mat responses) |
static TrainData |
TrainData.create(Mat samples,
int layout,
Mat responses,
Mat varIdx) |
static TrainData |
TrainData.create(Mat samples,
int layout,
Mat responses,
Mat varIdx,
Mat sampleIdx) |
static TrainData |
TrainData.create(Mat samples,
int layout,
Mat responses,
Mat varIdx,
Mat sampleIdx,
Mat sampleWeights) |
static TrainData |
TrainData.create(Mat samples,
int layout,
Mat responses,
Mat varIdx,
Mat sampleIdx,
Mat sampleWeights,
Mat varType) |
float |
KNearest.findNearest(Mat samples,
int k,
Mat results) |
float |
KNearest.findNearest(Mat samples,
int k,
Mat results,
Mat neighborResponses) |
float |
KNearest.findNearest(Mat samples,
int k,
Mat results,
Mat neighborResponses,
Mat dist) |
double |
SVM.getDecisionFunction(int i,
Mat alpha,
Mat svidx) |
void |
TrainData.getSample(Mat varIdx,
int sidx,
float buf) |
static Mat |
TrainData.getSubMatrix(Mat matrix,
Mat idx,
int layout) |
static Mat |
TrainData.getSubVector(Mat vec,
Mat idx) |
void |
TrainData.getValues(int vi,
Mat sidx,
float values) |
void |
RTrees.getVotes(Mat samples,
Mat results,
int flags) |
float |
StatModel.predict(Mat samples) |
float |
EM.predict(Mat samples) |
float |
LogisticRegression.predict(Mat samples) |
float |
StatModel.predict(Mat samples,
Mat results) |
float |
EM.predict(Mat samples,
Mat results) |
float |
LogisticRegression.predict(Mat samples,
Mat results) |
float |
StatModel.predict(Mat samples,
Mat results,
int flags) |
float |
EM.predict(Mat samples,
Mat results,
int flags) |
float |
LogisticRegression.predict(Mat samples,
Mat results,
int flags) |
double[] |
EM.predict2(Mat sample,
Mat probs) |
float |
NormalBayesClassifier.predictProb(Mat inputs,
Mat outputs,
Mat outputProbs) |
float |
NormalBayesClassifier.predictProb(Mat inputs,
Mat outputs,
Mat outputProbs,
int flags) |
void |
SVM.setClassWeights(Mat val) |
void |
ANN_MLP.setLayerSizes(Mat _layer_sizes) |
void |
DTrees.setPriors(Mat val) |
boolean |
StatModel.train(Mat samples,
int layout,
Mat responses) |
boolean |
SVM.trainAuto(Mat samples,
int layout,
Mat responses) |
boolean |
SVM.trainAuto(Mat samples,
int layout,
Mat responses,
int kFold) |
boolean |
SVM.trainAuto(Mat samples,
int layout,
Mat responses,
int kFold,
ParamGrid Cgrid) |
boolean |
SVM.trainAuto(Mat samples,
int layout,
Mat responses,
int kFold,
ParamGrid Cgrid,
ParamGrid gammaGrid) |
boolean |
SVM.trainAuto(Mat samples,
int layout,
Mat responses,
int kFold,
ParamGrid Cgrid,
ParamGrid gammaGrid,
ParamGrid pGrid) |
boolean |
SVM.trainAuto(Mat samples,
int layout,
Mat responses,
int kFold,
ParamGrid Cgrid,
ParamGrid gammaGrid,
ParamGrid pGrid,
ParamGrid nuGrid) |
boolean |
SVM.trainAuto(Mat samples,
int layout,
Mat responses,
int kFold,
ParamGrid Cgrid,
ParamGrid gammaGrid,
ParamGrid pGrid,
ParamGrid nuGrid,
ParamGrid coeffGrid) |
boolean |
SVM.trainAuto(Mat samples,
int layout,
Mat responses,
int kFold,
ParamGrid Cgrid,
ParamGrid gammaGrid,
ParamGrid pGrid,
ParamGrid nuGrid,
ParamGrid coeffGrid,
ParamGrid degreeGrid) |
boolean |
SVM.trainAuto(Mat samples,
int layout,
Mat responses,
int kFold,
ParamGrid Cgrid,
ParamGrid gammaGrid,
ParamGrid pGrid,
ParamGrid nuGrid,
ParamGrid coeffGrid,
ParamGrid degreeGrid,
boolean balanced) |
boolean |
EM.trainE(Mat samples,
Mat means0) |
boolean |
EM.trainE(Mat samples,
Mat means0,
Mat covs0) |
boolean |
EM.trainE(Mat samples,
Mat means0,
Mat covs0,
Mat weights0) |
boolean |
EM.trainE(Mat samples,
Mat means0,
Mat covs0,
Mat weights0,
Mat logLikelihoods) |
boolean |
EM.trainE(Mat samples,
Mat means0,
Mat covs0,
Mat weights0,
Mat logLikelihoods,
Mat labels) |
boolean |
EM.trainE(Mat samples,
Mat means0,
Mat covs0,
Mat weights0,
Mat logLikelihoods,
Mat labels,
Mat probs) |
boolean |
EM.trainEM(Mat samples) |
boolean |
EM.trainEM(Mat samples,
Mat logLikelihoods) |
boolean |
EM.trainEM(Mat samples,
Mat logLikelihoods,
Mat labels) |
boolean |
EM.trainEM(Mat samples,
Mat logLikelihoods,
Mat labels,
Mat probs) |
boolean |
EM.trainM(Mat samples,
Mat probs0) |
boolean |
EM.trainM(Mat samples,
Mat probs0,
Mat logLikelihoods) |
boolean |
EM.trainM(Mat samples,
Mat probs0,
Mat logLikelihoods,
Mat labels) |
boolean |
EM.trainM(Mat samples,
Mat probs0,
Mat logLikelihoods,
Mat labels,
Mat probs) |
| Modifier and Type | Method and Description |
|---|---|
void |
EM.getCovs(List<Mat> covs) |
| Modifier and Type | Method and Description |
|---|---|
void |
HOGDescriptor.compute(Mat img,
MatOfFloat descriptors) |
void |
HOGDescriptor.compute(Mat img,
MatOfFloat descriptors,
Size winStride) |
void |
HOGDescriptor.compute(Mat img,
MatOfFloat descriptors,
Size winStride,
Size padding) |
void |
HOGDescriptor.compute(Mat img,
MatOfFloat descriptors,
Size winStride,
Size padding,
MatOfPoint locations) |
void |
HOGDescriptor.computeGradient(Mat img,
Mat grad,
Mat angleOfs) |
void |
HOGDescriptor.computeGradient(Mat img,
Mat grad,
Mat angleOfs,
Size paddingTL) |
void |
HOGDescriptor.computeGradient(Mat img,
Mat grad,
Mat angleOfs,
Size paddingTL,
Size paddingBR) |
void |
HOGDescriptor.detect(Mat img,
MatOfPoint foundLocations,
MatOfDouble weights) |
void |
HOGDescriptor.detect(Mat img,
MatOfPoint foundLocations,
MatOfDouble weights,
double hitThreshold) |
void |
HOGDescriptor.detect(Mat img,
MatOfPoint foundLocations,
MatOfDouble weights,
double hitThreshold,
Size winStride) |
void |
HOGDescriptor.detect(Mat img,
MatOfPoint foundLocations,
MatOfDouble weights,
double hitThreshold,
Size winStride,
Size padding) |
void |
HOGDescriptor.detect(Mat img,
MatOfPoint foundLocations,
MatOfDouble weights,
double hitThreshold,
Size winStride,
Size padding,
MatOfPoint searchLocations) |
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects) |
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects,
double scaleFactor) |
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects,
double scaleFactor,
int minNeighbors) |
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects,
double scaleFactor,
int minNeighbors,
int flags) |
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize) |
void |
CascadeClassifier.detectMultiScale(Mat image,
MatOfRect objects,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize) |
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights) |
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold) |
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold,
Size winStride) |
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold,
Size winStride,
Size padding) |
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold,
Size winStride,
Size padding,
double scale) |
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold,
Size winStride,
Size padding,
double scale,
double finalThreshold) |
void |
HOGDescriptor.detectMultiScale(Mat img,
MatOfRect foundLocations,
MatOfDouble foundWeights,
double hitThreshold,
Size winStride,
Size padding,
double scale,
double finalThreshold,
boolean useMeanshiftGrouping) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor,
int minNeighbors) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor,
int minNeighbors,
int flags) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize) |
void |
CascadeClassifier.detectMultiScale2(Mat image,
MatOfRect objects,
MatOfInt numDetections,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize) |
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights) |
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor) |
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor,
int minNeighbors) |
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor,
int minNeighbors,
int flags) |
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize) |
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize) |
void |
CascadeClassifier.detectMultiScale3(Mat image,
MatOfRect objects,
MatOfInt rejectLevels,
MatOfDouble levelWeights,
double scaleFactor,
int minNeighbors,
int flags,
Size minSize,
Size maxSize,
boolean outputRejectLevels) |
void |
HOGDescriptor.setSVMDetector(Mat _svmdetector) |
| Modifier and Type | Method and Description |
|---|---|
void |
HistogramPhaseUnwrapping.getInverseReliabilityMap(Mat reliabilityMap) |
void |
PhaseUnwrapping.unwrapPhaseMap(Mat wrappedPhaseMap,
Mat unwrappedPhaseMap) |
void |
PhaseUnwrapping.unwrapPhaseMap(Mat wrappedPhaseMap,
Mat unwrappedPhaseMap,
Mat shadowMask) |
| Modifier and Type | Method and Description |
|---|---|
Mat |
CalibrateRobertson.getRadiance() |
| Modifier and Type | Method and Description |
|---|---|
Point |
AlignMTB.calculateShift(Mat img0,
Mat img1) |
static void |
Photo.colorChange(Mat src,
Mat mask,
Mat dst) |
static void |
Photo.colorChange(Mat src,
Mat mask,
Mat dst,
float red_mul) |
static void |
Photo.colorChange(Mat src,
Mat mask,
Mat dst,
float red_mul,
float green_mul) |
static void |
Photo.colorChange(Mat src,
Mat mask,
Mat dst,
float red_mul,
float green_mul,
float blue_mul) |
void |
AlignMTB.computeBitmaps(Mat img,
Mat tb,
Mat eb) |
static void |
Photo.decolor(Mat src,
Mat grayscale,
Mat color_boost) |
static void |
Photo.denoise_TVL1(List<Mat> observations,
Mat result) |
static void |
Photo.denoise_TVL1(List<Mat> observations,
Mat result,
double lambda) |
static void |
Photo.denoise_TVL1(List<Mat> observations,
Mat result,
double lambda,
int niters) |
static void |
Photo.detailEnhance(Mat src,
Mat dst) |
static void |
Photo.detailEnhance(Mat src,
Mat dst,
float sigma_s) |
static void |
Photo.detailEnhance(Mat src,
Mat dst,
float sigma_s,
float sigma_r) |
static void |
Photo.edgePreservingFilter(Mat src,
Mat dst) |
static void |
Photo.edgePreservingFilter(Mat src,
Mat dst,
int flags) |
static void |
Photo.edgePreservingFilter(Mat src,
Mat dst,
int flags,
float sigma_s) |
static void |
Photo.edgePreservingFilter(Mat src,
Mat dst,
int flags,
float sigma_s,
float sigma_r) |
static void |
Photo.fastNlMeansDenoising(Mat src,
Mat dst) |
static void |
Photo.fastNlMeansDenoising(Mat src,
Mat dst,
float h) |
static void |
Photo.fastNlMeansDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize) |
static void |
Photo.fastNlMeansDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize) |
static void |
Photo.fastNlMeansDenoising(Mat src,
Mat dst,
MatOfFloat h) |
static void |
Photo.fastNlMeansDenoising(Mat src,
Mat dst,
MatOfFloat h,
int templateWindowSize) |
static void |
Photo.fastNlMeansDenoising(Mat src,
Mat dst,
MatOfFloat h,
int templateWindowSize,
int searchWindowSize) |
static void |
Photo.fastNlMeansDenoising(Mat src,
Mat dst,
MatOfFloat h,
int templateWindowSize,
int searchWindowSize,
int normType) |
static void |
Photo.fastNlMeansDenoisingColored(Mat src,
Mat dst) |
static void |
Photo.fastNlMeansDenoisingColored(Mat src,
Mat dst,
float h) |
static void |
Photo.fastNlMeansDenoisingColored(Mat src,
Mat dst,
float h,
float hColor) |
static void |
Photo.fastNlMeansDenoisingColored(Mat src,
Mat dst,
float h,
float hColor,
int templateWindowSize) |
static void |
Photo.fastNlMeansDenoisingColored(Mat src,
Mat dst,
float h,
float hColor,
int templateWindowSize,
int searchWindowSize) |
static void |
Photo.fastNlMeansDenoisingColoredMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize) |
static void |
Photo.fastNlMeansDenoisingColoredMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h) |
static void |
Photo.fastNlMeansDenoisingColoredMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
float hColor) |
static void |
Photo.fastNlMeansDenoisingColoredMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
float hColor,
int templateWindowSize) |
static void |
Photo.fastNlMeansDenoisingColoredMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
float hColor,
int templateWindowSize,
int searchWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
int templateWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
int templateWindowSize,
int searchWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
MatOfFloat h) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
MatOfFloat h,
int templateWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
MatOfFloat h,
int templateWindowSize,
int searchWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
MatOfFloat h,
int templateWindowSize,
int searchWindowSize,
int normType) |
static void |
Photo.illuminationChange(Mat src,
Mat mask,
Mat dst) |
static void |
Photo.illuminationChange(Mat src,
Mat mask,
Mat dst,
float alpha) |
static void |
Photo.illuminationChange(Mat src,
Mat mask,
Mat dst,
float alpha,
float beta) |
static void |
Photo.inpaint(Mat src,
Mat inpaintMask,
Mat dst,
double inpaintRadius,
int flags) |
static void |
Photo.pencilSketch(Mat src,
Mat dst1,
Mat dst2) |
static void |
Photo.pencilSketch(Mat src,
Mat dst1,
Mat dst2,
float sigma_s) |
static void |
Photo.pencilSketch(Mat src,
Mat dst1,
Mat dst2,
float sigma_s,
float sigma_r) |
static void |
Photo.pencilSketch(Mat src,
Mat dst1,
Mat dst2,
float sigma_s,
float sigma_r,
float shade_factor) |
void |
AlignMTB.process(List<Mat> src,
List<Mat> dst,
Mat times,
Mat response) |
void |
AlignExposures.process(List<Mat> src,
List<Mat> dst,
Mat times,
Mat response) |
void |
MergeMertens.process(List<Mat> src,
Mat dst) |
void |
MergeDebevec.process(List<Mat> src,
Mat dst,
Mat times) |
void |
CalibrateCRF.process(List<Mat> src,
Mat dst,
Mat times) |
void |
MergeRobertson.process(List<Mat> src,
Mat dst,
Mat times) |
void |
MergeDebevec.process(List<Mat> src,
Mat dst,
Mat times,
Mat response) |
void |
MergeRobertson.process(List<Mat> src,
Mat dst,
Mat times,
Mat response) |
void |
MergeExposures.process(List<Mat> src,
Mat dst,
Mat times,
Mat response) |
void |
MergeMertens.process(List<Mat> src,
Mat dst,
Mat times,
Mat response) |
void |
Tonemap.process(Mat src,
Mat dst) |
static void |
Photo.seamlessClone(Mat src,
Mat dst,
Mat mask,
Point p,
Mat blend,
int flags) |
void |
AlignMTB.shiftMat(Mat src,
Mat dst,
Point shift) |
static void |
Photo.stylization(Mat src,
Mat dst) |
static void |
Photo.stylization(Mat src,
Mat dst,
float sigma_s) |
static void |
Photo.stylization(Mat src,
Mat dst,
float sigma_s,
float sigma_r) |
static void |
Photo.textureFlattening(Mat src,
Mat mask,
Mat dst) |
static void |
Photo.textureFlattening(Mat src,
Mat mask,
Mat dst,
float low_threshold) |
static void |
Photo.textureFlattening(Mat src,
Mat mask,
Mat dst,
float low_threshold,
float high_threshold) |
static void |
Photo.textureFlattening(Mat src,
Mat mask,
Mat dst,
float low_threshold,
float high_threshold,
int kernel_size) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Photo.denoise_TVL1(List<Mat> observations,
Mat result) |
static void |
Photo.denoise_TVL1(List<Mat> observations,
Mat result,
double lambda) |
static void |
Photo.denoise_TVL1(List<Mat> observations,
Mat result,
double lambda,
int niters) |
static void |
Photo.fastNlMeansDenoisingColoredMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize) |
static void |
Photo.fastNlMeansDenoisingColoredMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h) |
static void |
Photo.fastNlMeansDenoisingColoredMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
float hColor) |
static void |
Photo.fastNlMeansDenoisingColoredMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
float hColor,
int templateWindowSize) |
static void |
Photo.fastNlMeansDenoisingColoredMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
float hColor,
int templateWindowSize,
int searchWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
int templateWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
int templateWindowSize,
int searchWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
MatOfFloat h) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
MatOfFloat h,
int templateWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
MatOfFloat h,
int templateWindowSize,
int searchWindowSize) |
static void |
Photo.fastNlMeansDenoisingMulti(List<Mat> srcImgs,
Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
MatOfFloat h,
int templateWindowSize,
int searchWindowSize,
int normType) |
void |
AlignMTB.process(List<Mat> src,
List<Mat> dst) |
void |
AlignMTB.process(List<Mat> src,
List<Mat> dst) |
void |
AlignMTB.process(List<Mat> src,
List<Mat> dst,
Mat times,
Mat response) |
void |
AlignMTB.process(List<Mat> src,
List<Mat> dst,
Mat times,
Mat response) |
void |
AlignExposures.process(List<Mat> src,
List<Mat> dst,
Mat times,
Mat response) |
void |
AlignExposures.process(List<Mat> src,
List<Mat> dst,
Mat times,
Mat response) |
void |
MergeMertens.process(List<Mat> src,
Mat dst) |
void |
MergeDebevec.process(List<Mat> src,
Mat dst,
Mat times) |
void |
CalibrateCRF.process(List<Mat> src,
Mat dst,
Mat times) |
void |
MergeRobertson.process(List<Mat> src,
Mat dst,
Mat times) |
void |
MergeDebevec.process(List<Mat> src,
Mat dst,
Mat times,
Mat response) |
void |
MergeRobertson.process(List<Mat> src,
Mat dst,
Mat times,
Mat response) |
void |
MergeExposures.process(List<Mat> src,
Mat dst,
Mat times,
Mat response) |
void |
MergeMertens.process(List<Mat> src,
Mat dst,
Mat times,
Mat response) |
| Modifier and Type | Method and Description |
|---|---|
static Plot2d |
Plot2d.create(Mat data) |
static Plot2d |
Plot2d.create(Mat dataX,
Mat dataY) |
void |
Plot2d.render(Mat _plotResult) |
| Modifier and Type | Method and Description |
|---|---|
void |
SinusoidalPattern.computeDataModulationTerm(List<Mat> patternImages,
Mat dataModulationTerm,
Mat shadowMask) |
void |
SinusoidalPattern.computePhaseMap(List<Mat> patternImages,
Mat wrappedPhaseMap) |
void |
SinusoidalPattern.computePhaseMap(List<Mat> patternImages,
Mat wrappedPhaseMap,
Mat shadowMask) |
void |
SinusoidalPattern.computePhaseMap(List<Mat> patternImages,
Mat wrappedPhaseMap,
Mat shadowMask,
Mat fundamental) |
void |
SinusoidalPattern.findProCamMatches(Mat projUnwrappedPhaseMap,
Mat camUnwrappedPhaseMap,
List<Mat> matches) |
void |
GrayCodePattern.getImagesForShadowMasks(Mat blackImage,
Mat whiteImage) |
void |
SinusoidalPattern.unwrapPhaseMap(List<Mat> wrappedPhaseMap,
Mat unwrappedPhaseMap,
Size camSize) |
void |
SinusoidalPattern.unwrapPhaseMap(List<Mat> wrappedPhaseMap,
Mat unwrappedPhaseMap,
Size camSize,
Mat shadowMask) |
| Modifier and Type | Method and Description |
|---|---|
void |
SinusoidalPattern.computeDataModulationTerm(List<Mat> patternImages,
Mat dataModulationTerm,
Mat shadowMask) |
void |
SinusoidalPattern.computePhaseMap(List<Mat> patternImages,
Mat wrappedPhaseMap) |
void |
SinusoidalPattern.computePhaseMap(List<Mat> patternImages,
Mat wrappedPhaseMap,
Mat shadowMask) |
void |
SinusoidalPattern.computePhaseMap(List<Mat> patternImages,
Mat wrappedPhaseMap,
Mat shadowMask,
Mat fundamental) |
void |
SinusoidalPattern.findProCamMatches(Mat projUnwrappedPhaseMap,
Mat camUnwrappedPhaseMap,
List<Mat> matches) |
boolean |
StructuredLightPattern.generate(List<Mat> patternImages) |
boolean |
GrayCodePattern.getProjPixel(List<Mat> patternImages,
int x,
int y,
Point projPix) |
void |
SinusoidalPattern.unwrapPhaseMap(List<Mat> wrappedPhaseMap,
Mat unwrappedPhaseMap,
Size camSize) |
void |
SinusoidalPattern.unwrapPhaseMap(List<Mat> wrappedPhaseMap,
Mat unwrappedPhaseMap,
Size camSize,
Mat shadowMask) |
| Modifier and Type | Method and Description |
|---|---|
static Mat |
Text.createOCRHMMTransitionsTable(String vocabulary,
List<String> lexicon) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Text.computeNMChannels(Mat _src,
List<Mat> _channels) |
static void |
Text.computeNMChannels(Mat _src,
List<Mat> _channels,
int _mode) |
static OCRHMMDecoder |
OCRHMMDecoder.create(String filename,
String vocabulary,
Mat transition_probabilities_table,
Mat emission_probabilities_table) |
static OCRBeamSearchDecoder |
OCRBeamSearchDecoder.create(String filename,
String vocabulary,
Mat transition_probabilities_table,
Mat emission_probabilities_table) |
static OCRHMMDecoder |
OCRHMMDecoder.create(String filename,
String vocabulary,
Mat transition_probabilities_table,
Mat emission_probabilities_table,
int mode) |
static OCRBeamSearchDecoder |
OCRBeamSearchDecoder.create(String filename,
String vocabulary,
Mat transition_probabilities_table,
Mat emission_probabilities_table,
int mode) |
static OCRHMMDecoder |
OCRHMMDecoder.create(String filename,
String vocabulary,
Mat transition_probabilities_table,
Mat emission_probabilities_table,
int mode,
int classifier) |
static OCRBeamSearchDecoder |
OCRBeamSearchDecoder.create(String filename,
String vocabulary,
Mat transition_probabilities_table,
Mat emission_probabilities_table,
int mode,
int beam_size) |
void |
TextDetector.detect(Mat inputImage,
MatOfRect Bbox,
MatOfFloat confidence) |
void |
TextDetectorCNN.detect(Mat inputImage,
MatOfRect Bbox,
MatOfFloat confidence) |
static void |
Text.detectRegions(Mat image,
ERFilter er_filter1,
ERFilter er_filter2,
List<MatOfPoint> regions) |
static void |
Text.detectRegions(Mat image,
ERFilter er_filter1,
ERFilter er_filter2,
MatOfRect groups_rects) |
static void |
Text.detectRegions(Mat image,
ERFilter er_filter1,
ERFilter er_filter2,
MatOfRect groups_rects,
int method) |
static void |
Text.detectRegions(Mat image,
ERFilter er_filter1,
ERFilter er_filter2,
MatOfRect groups_rects,
int method,
String filename) |
static void |
Text.detectRegions(Mat image,
ERFilter er_filter1,
ERFilter er_filter2,
MatOfRect groups_rects,
int method,
String filename,
float minProbability) |
static void |
Text.erGrouping(Mat image,
Mat channel,
List<MatOfPoint> regions,
MatOfRect groups_rects) |
static void |
Text.erGrouping(Mat image,
Mat channel,
List<MatOfPoint> regions,
MatOfRect groups_rects,
int method) |
static void |
Text.erGrouping(Mat image,
Mat channel,
List<MatOfPoint> regions,
MatOfRect groups_rects,
int method,
String filename) |
static void |
Text.erGrouping(Mat image,
Mat channel,
List<MatOfPoint> regions,
MatOfRect groups_rects,
int method,
String filename,
float minProbablity) |
String |
OCRHMMDecoder.run(Mat image,
int min_confidence) |
String |
OCRTesseract.run(Mat image,
int min_confidence) |
String |
OCRBeamSearchDecoder.run(Mat image,
int min_confidence) |
String |
OCRHMMDecoder.run(Mat image,
int min_confidence,
int component_level) |
String |
OCRTesseract.run(Mat image,
int min_confidence,
int component_level) |
String |
OCRBeamSearchDecoder.run(Mat image,
int min_confidence,
int component_level) |
String |
OCRHMMDecoder.run(Mat image,
Mat mask,
int min_confidence) |
String |
OCRTesseract.run(Mat image,
Mat mask,
int min_confidence) |
String |
OCRBeamSearchDecoder.run(Mat image,
Mat mask,
int min_confidence) |
String |
OCRHMMDecoder.run(Mat image,
Mat mask,
int min_confidence,
int component_level) |
String |
OCRTesseract.run(Mat image,
Mat mask,
int min_confidence,
int component_level) |
String |
OCRBeamSearchDecoder.run(Mat image,
Mat mask,
int min_confidence,
int component_level) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Text.computeNMChannels(Mat _src,
List<Mat> _channels) |
static void |
Text.computeNMChannels(Mat _src,
List<Mat> _channels,
int _mode) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
MultiTracker.add(Tracker newTracker,
Mat image,
Rect2d boundingBox) |
boolean |
Tracker.init(Mat image,
Rect2d boundingBox) |
boolean |
MultiTracker.update(Mat image,
MatOfRect2d boundingBox) |
boolean |
Tracker.update(Mat image,
Rect2d boundingBox) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Converters.Mat_to_vector_char(Mat m,
List<Byte> bs) |
static void |
Converters.Mat_to_vector_DMatch(Mat m,
List<DMatch> matches) |
static void |
Converters.Mat_to_vector_double(Mat m,
List<Double> ds) |
static void |
Converters.Mat_to_vector_float(Mat m,
List<Float> fs) |
static void |
Converters.Mat_to_vector_int(Mat m,
List<Integer> is) |
static void |
Converters.Mat_to_vector_KeyPoint(Mat m,
List<KeyPoint> kps) |
static void |
Converters.Mat_to_vector_Mat(Mat m,
List<Mat> mats) |
static void |
Converters.Mat_to_vector_Point(Mat m,
List<Point> pts) |
static void |
Converters.Mat_to_vector_Point2d(Mat m,
List<Point> pts) |
static void |
Converters.Mat_to_vector_Point2f(Mat m,
List<Point> pts) |
static void |
Converters.Mat_to_vector_Point3(Mat m,
List<Point3> pts) |
static void |
Converters.Mat_to_vector_Point3d(Mat m,
List<Point3> pts) |
static void |
Converters.Mat_to_vector_Point3f(Mat m,
List<Point3> pts) |
static void |
Converters.Mat_to_vector_Point3i(Mat m,
List<Point3> pts) |
static void |
Converters.Mat_to_vector_Rect(Mat m,
List<Rect> rs) |
static void |
Converters.Mat_to_vector_Rect2d(Mat m,
List<Rect2d> rs) |
static void |
Converters.Mat_to_vector_uchar(Mat m,
List<Byte> us) |
static void |
Converters.Mat_to_vector_vector_char(Mat m,
List<List<Byte>> llb) |
static void |
Converters.Mat_to_vector_vector_DMatch(Mat m,
List<MatOfDMatch> lvdm) |
static void |
Converters.Mat_to_vector_vector_KeyPoint(Mat m,
List<MatOfKeyPoint> kps) |
static void |
Converters.Mat_to_vector_vector_Point(Mat m,
List<MatOfPoint> pts) |
static void |
Converters.Mat_to_vector_vector_Point2f(Mat m,
List<MatOfPoint2f> pts) |
static void |
Converters.Mat_to_vector_vector_Point3f(Mat m,
List<MatOfPoint3f> pts) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Converters.Mat_to_vector_Mat(Mat m,
List<Mat> mats) |
static Mat |
Converters.vector_Mat_to_Mat(List<Mat> mats) |
static Mat |
Converters.vector_vector_char_to_Mat(List<MatOfByte> lvb,
List<Mat> mats) |
static Mat |
Converters.vector_vector_DMatch_to_Mat(List<MatOfDMatch> lvdm,
List<Mat> mats) |
static Mat |
Converters.vector_vector_KeyPoint_to_Mat(List<MatOfKeyPoint> kps,
List<Mat> mats) |
static Mat |
Converters.vector_vector_Point_to_Mat(List<MatOfPoint> pts,
List<Mat> mats) |
static Mat |
Converters.vector_vector_Point2f_to_Mat(List<MatOfPoint2f> pts,
List<Mat> mats) |
static Mat |
Converters.vector_vector_Point3f_to_Mat(List<MatOfPoint3f> pts,
List<Mat> mats) |
| Modifier and Type | Method and Description |
|---|---|
Mat |
KalmanFilter.correct(Mat measurement) |
static Mat |
Video.estimateRigidTransform(Mat src,
Mat dst,
boolean fullAffine) |
static Mat |
Video.estimateRigidTransform(Mat src,
Mat dst,
boolean fullAffine,
int ransacMaxIters,
double ransacGoodRatio,
int ransacSize0) |
Mat |
KalmanFilter.get_controlMatrix() |
Mat |
KalmanFilter.get_errorCovPost() |
Mat |
KalmanFilter.get_errorCovPre() |
Mat |
KalmanFilter.get_gain() |
Mat |
KalmanFilter.get_measurementMatrix() |
Mat |
KalmanFilter.get_measurementNoiseCov() |
Mat |
KalmanFilter.get_processNoiseCov() |
Mat |
KalmanFilter.get_statePost() |
Mat |
KalmanFilter.get_statePre() |
Mat |
KalmanFilter.get_transitionMatrix() |
Mat |
KalmanFilter.predict() |
Mat |
KalmanFilter.predict(Mat control) |
| Modifier and Type | Method and Description |
|---|---|
void |
BackgroundSubtractorMOG2.apply(Mat image,
Mat fgmask) |
void |
BackgroundSubtractor.apply(Mat image,
Mat fgmask) |
void |
BackgroundSubtractorMOG2.apply(Mat image,
Mat fgmask,
double learningRate) |
void |
BackgroundSubtractor.apply(Mat image,
Mat fgmask,
double learningRate) |
static int |
Video.buildOpticalFlowPyramid(Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel) |
static int |
Video.buildOpticalFlowPyramid(Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel,
boolean withDerivatives) |
static int |
Video.buildOpticalFlowPyramid(Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel,
boolean withDerivatives,
int pyrBorder) |
static int |
Video.buildOpticalFlowPyramid(Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel,
boolean withDerivatives,
int pyrBorder,
int derivBorder) |
static int |
Video.buildOpticalFlowPyramid(Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel,
boolean withDerivatives,
int pyrBorder,
int derivBorder,
boolean tryReuseInputImage) |
void |
DenseOpticalFlow.calc(Mat I0,
Mat I1,
Mat flow) |
void |
SparseOpticalFlow.calc(Mat prevImg,
Mat nextImg,
Mat prevPts,
Mat nextPts,
Mat status) |
void |
SparseOpticalFlow.calc(Mat prevImg,
Mat nextImg,
Mat prevPts,
Mat nextPts,
Mat status,
Mat err) |
static void |
Video.calcOpticalFlowFarneback(Mat prev,
Mat next,
Mat flow,
double pyr_scale,
int levels,
int winsize,
int iterations,
int poly_n,
double poly_sigma,
int flags) |
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err) |
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize) |
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize,
int maxLevel) |
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize,
int maxLevel,
TermCriteria criteria) |
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize,
int maxLevel,
TermCriteria criteria,
int flags) |
static void |
Video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize,
int maxLevel,
TermCriteria criteria,
int flags,
double minEigThreshold) |
static RotatedRect |
Video.CamShift(Mat probImage,
Rect window,
TermCriteria criteria) |
Mat |
KalmanFilter.correct(Mat measurement) |
static Mat |
Video.estimateRigidTransform(Mat src,
Mat dst,
boolean fullAffine) |
static Mat |
Video.estimateRigidTransform(Mat src,
Mat dst,
boolean fullAffine,
int ransacMaxIters,
double ransacGoodRatio,
int ransacSize0) |
static double |
Video.findTransformECC(Mat templateImage,
Mat inputImage,
Mat warpMatrix) |
static double |
Video.findTransformECC(Mat templateImage,
Mat inputImage,
Mat warpMatrix,
int motionType) |
static double |
Video.findTransformECC(Mat templateImage,
Mat inputImage,
Mat warpMatrix,
int motionType,
TermCriteria criteria) |
static double |
Video.findTransformECC(Mat templateImage,
Mat inputImage,
Mat warpMatrix,
int motionType,
TermCriteria criteria,
Mat inputMask) |
void |
BackgroundSubtractor.getBackgroundImage(Mat backgroundImage) |
static int |
Video.meanShift(Mat probImage,
Rect window,
TermCriteria criteria) |
Mat |
KalmanFilter.predict(Mat control) |
void |
KalmanFilter.set_controlMatrix(Mat controlMatrix) |
void |
KalmanFilter.set_errorCovPost(Mat errorCovPost) |
void |
KalmanFilter.set_errorCovPre(Mat errorCovPre) |
void |
KalmanFilter.set_gain(Mat gain) |
void |
KalmanFilter.set_measurementMatrix(Mat measurementMatrix) |
void |
KalmanFilter.set_measurementNoiseCov(Mat measurementNoiseCov) |
void |
KalmanFilter.set_processNoiseCov(Mat processNoiseCov) |
void |
KalmanFilter.set_statePost(Mat statePost) |
void |
KalmanFilter.set_statePre(Mat statePre) |
void |
KalmanFilter.set_transitionMatrix(Mat transitionMatrix) |
| Modifier and Type | Method and Description |
|---|---|
static int |
Video.buildOpticalFlowPyramid(Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel) |
static int |
Video.buildOpticalFlowPyramid(Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel,
boolean withDerivatives) |
static int |
Video.buildOpticalFlowPyramid(Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel,
boolean withDerivatives,
int pyrBorder) |
static int |
Video.buildOpticalFlowPyramid(Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel,
boolean withDerivatives,
int pyrBorder,
int derivBorder) |
static int |
Video.buildOpticalFlowPyramid(Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel,
boolean withDerivatives,
int pyrBorder,
int derivBorder,
boolean tryReuseInputImage) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
VideoCapture.read(Mat image) |
boolean |
VideoCapture.retrieve(Mat image) |
boolean |
VideoCapture.retrieve(Mat image,
int flag) |
void |
VideoWriter.write(Mat image) |
| Modifier and Type | Method and Description |
|---|---|
float |
PCTSignaturesSQFD.computeQuadraticFormDistance(Mat _signature0,
Mat _signature1) |
void |
PCTSignaturesSQFD.computeQuadraticFormDistances(Mat sourceSignature,
List<Mat> imageSignatures,
MatOfFloat distances) |
void |
PCTSignatures.computeSignature(Mat image,
Mat signature) |
static DAISY |
DAISY.create(float radius,
int q_radius,
int q_theta,
int q_hist,
int norm,
Mat H) |
static DAISY |
DAISY.create(float radius,
int q_radius,
int q_theta,
int q_hist,
int norm,
Mat H,
boolean interpolation) |
static DAISY |
DAISY.create(float radius,
int q_radius,
int q_theta,
int q_hist,
int norm,
Mat H,
boolean interpolation,
boolean use_orientation) |
static void |
PCTSignatures.drawSignature(Mat source,
Mat signature,
Mat result) |
static void |
PCTSignatures.drawSignature(Mat source,
Mat signature,
Mat result,
float radiusToShorterSideRatio) |
static void |
PCTSignatures.drawSignature(Mat source,
Mat signature,
Mat result,
float radiusToShorterSideRatio,
int borderThickness) |
| Modifier and Type | Method and Description |
|---|---|
void |
PCTSignaturesSQFD.computeQuadraticFormDistances(Mat sourceSignature,
List<Mat> imageSignatures,
MatOfFloat distances) |
void |
PCTSignatures.computeSignatures(List<Mat> images,
List<Mat> signatures) |
void |
PCTSignatures.computeSignatures(List<Mat> images,
List<Mat> signatures) |
| Modifier and Type | Method and Description |
|---|---|
Mat |
DisparityWLSFilter.getConfidenceMap() |
| Modifier and Type | Method and Description |
|---|---|
void |
SelectiveSearchSegmentation.addImage(Mat img) |
static void |
Ximgproc.amFilter(Mat joint,
Mat src,
Mat dst,
double sigma_s,
double sigma_r) |
static void |
Ximgproc.amFilter(Mat joint,
Mat src,
Mat dst,
double sigma_s,
double sigma_r,
boolean adjust_outliers) |
static void |
Ximgproc.anisotropicDiffusion(Mat src,
Mat dst,
float alpha,
float K,
int niters) |
static void |
Ximgproc.bilateralTextureFilter(Mat src,
Mat dst) |
static void |
Ximgproc.bilateralTextureFilter(Mat src,
Mat dst,
int fr) |
static void |
Ximgproc.bilateralTextureFilter(Mat src,
Mat dst,
int fr,
int numIter) |
static void |
Ximgproc.bilateralTextureFilter(Mat src,
Mat dst,
int fr,
int numIter,
double sigmaAlpha) |
static void |
Ximgproc.bilateralTextureFilter(Mat src,
Mat dst,
int fr,
int numIter,
double sigmaAlpha,
double sigmaAvg) |
void |
StructuredEdgeDetection.computeOrientation(Mat _src,
Mat _dst) |
static void |
Ximgproc.contourSampling(Mat src,
Mat out,
int nbElt) |
static void |
Ximgproc.covarianceEstimation(Mat src,
Mat dst,
int windowRows,
int windowCols) |
static DTFilter |
Ximgproc.createDTFilter(Mat guide,
double sigmaSpatial,
double sigmaColor) |
static DTFilter |
Ximgproc.createDTFilter(Mat guide,
double sigmaSpatial,
double sigmaColor,
int mode) |
static DTFilter |
Ximgproc.createDTFilter(Mat guide,
double sigmaSpatial,
double sigmaColor,
int mode,
int numIters) |
static FastGlobalSmootherFilter |
Ximgproc.createFastGlobalSmootherFilter(Mat guide,
double lambda,
double sigma_color) |
static FastGlobalSmootherFilter |
Ximgproc.createFastGlobalSmootherFilter(Mat guide,
double lambda,
double sigma_color,
double lambda_attenuation) |
static FastGlobalSmootherFilter |
Ximgproc.createFastGlobalSmootherFilter(Mat guide,
double lambda,
double sigma_color,
double lambda_attenuation,
int num_iter) |
static GuidedFilter |
Ximgproc.createGuidedFilter(Mat guide,
int radius,
double eps) |
static SuperpixelLSC |
Ximgproc.createSuperpixelLSC(Mat image) |
static SuperpixelLSC |
Ximgproc.createSuperpixelLSC(Mat image,
int region_size) |
static SuperpixelLSC |
Ximgproc.createSuperpixelLSC(Mat image,
int region_size,
float ratio) |
static SuperpixelSLIC |
Ximgproc.createSuperpixelSLIC(Mat image) |
static SuperpixelSLIC |
Ximgproc.createSuperpixelSLIC(Mat image,
int algorithm) |
static SuperpixelSLIC |
Ximgproc.createSuperpixelSLIC(Mat image,
int algorithm,
int region_size) |
static SuperpixelSLIC |
Ximgproc.createSuperpixelSLIC(Mat image,
int algorithm,
int region_size,
float ruler) |
void |
FastLineDetector.detect(Mat _image,
Mat _lines) |
void |
StructuredEdgeDetection.detectEdges(Mat _src,
Mat _dst) |
void |
FastLineDetector.drawSegments(Mat _image,
Mat lines) |
void |
FastLineDetector.drawSegments(Mat _image,
Mat lines,
boolean draw_arrow) |
static void |
Ximgproc.dtFilter(Mat guide,
Mat src,
Mat dst,
double sigmaSpatial,
double sigmaColor) |
static void |
Ximgproc.dtFilter(Mat guide,
Mat src,
Mat dst,
double sigmaSpatial,
double sigmaColor,
int mode) |
static void |
Ximgproc.dtFilter(Mat guide,
Mat src,
Mat dst,
double sigmaSpatial,
double sigmaColor,
int mode,
int numIters) |
void |
StructuredEdgeDetection.edgesNms(Mat edge_image,
Mat orientation_image,
Mat _dst) |
void |
StructuredEdgeDetection.edgesNms(Mat edge_image,
Mat orientation_image,
Mat _dst,
int r) |
void |
StructuredEdgeDetection.edgesNms(Mat edge_image,
Mat orientation_image,
Mat _dst,
int r,
int s) |
void |
StructuredEdgeDetection.edgesNms(Mat edge_image,
Mat orientation_image,
Mat _dst,
int r,
int s,
float m) |
void |
StructuredEdgeDetection.edgesNms(Mat edge_image,
Mat orientation_image,
Mat _dst,
int r,
int s,
float m,
boolean isParallel) |
void |
ContourFitting.estimateTransformation(Mat src,
Mat dst,
Mat alphaPhiST,
double[] dist) |
void |
ContourFitting.estimateTransformation(Mat src,
Mat dst,
Mat alphaPhiST,
double[] dist,
boolean fdContour) |
static void |
Ximgproc.fastGlobalSmootherFilter(Mat guide,
Mat src,
Mat dst,
double lambda,
double sigma_color) |
static void |
Ximgproc.fastGlobalSmootherFilter(Mat guide,
Mat src,
Mat dst,
double lambda,
double sigma_color,
double lambda_attenuation) |
static void |
Ximgproc.fastGlobalSmootherFilter(Mat guide,
Mat src,
Mat dst,
double lambda,
double sigma_color,
double lambda_attenuation,
int num_iter) |
static void |
Ximgproc.FastHoughTransform(Mat src,
Mat dst,
int dstMatDepth) |
static void |
Ximgproc.FastHoughTransform(Mat src,
Mat dst,
int dstMatDepth,
int angleRange) |
static void |
Ximgproc.FastHoughTransform(Mat src,
Mat dst,
int dstMatDepth,
int angleRange,
int op) |
static void |
Ximgproc.FastHoughTransform(Mat src,
Mat dst,
int dstMatDepth,
int angleRange,
int op,
int makeSkew) |
void |
AdaptiveManifoldFilter.filter(Mat src,
Mat dst) |
void |
DTFilter.filter(Mat src,
Mat dst) |
void |
GuidedFilter.filter(Mat src,
Mat dst) |
void |
FastGlobalSmootherFilter.filter(Mat src,
Mat dst) |
void |
DTFilter.filter(Mat src,
Mat dst,
int dDepth) |
void |
GuidedFilter.filter(Mat src,
Mat dst,
int dDepth) |
void |
AdaptiveManifoldFilter.filter(Mat src,
Mat dst,
Mat joint) |
void |
DisparityFilter.filter(Mat disparity_map_left,
Mat left_view,
Mat filtered_disparity_map) |
void |
DisparityFilter.filter(Mat disparity_map_left,
Mat left_view,
Mat filtered_disparity_map,
Mat disparity_map_right) |
void |
DisparityFilter.filter(Mat disparity_map_left,
Mat left_view,
Mat filtered_disparity_map,
Mat disparity_map_right,
Rect ROI) |
void |
DisparityFilter.filter(Mat disparity_map_left,
Mat left_view,
Mat filtered_disparity_map,
Mat disparity_map_right,
Rect ROI,
Mat right_view) |
static void |
Ximgproc.fourierDescriptor(Mat src,
Mat dst) |
static void |
Ximgproc.fourierDescriptor(Mat src,
Mat dst,
int nbElt) |
static void |
Ximgproc.fourierDescriptor(Mat src,
Mat dst,
int nbElt,
int nbFD) |
void |
EdgeBoxes.getBoundingBoxes(Mat edge_map,
Mat orientation_map,
MatOfRect boxes) |
void |
RFFeatureGetter.getFeatures(Mat src,
Mat features,
int gnrmRad,
int gsmthRad,
int shrink,
int outNum,
int gradNum) |
void |
SuperpixelLSC.getLabelContourMask(Mat image) |
void |
SuperpixelSEEDS.getLabelContourMask(Mat image) |
void |
SuperpixelSLIC.getLabelContourMask(Mat image) |
void |
SuperpixelLSC.getLabelContourMask(Mat image,
boolean thick_line) |
void |
SuperpixelSEEDS.getLabelContourMask(Mat image,
boolean thick_line) |
void |
SuperpixelSLIC.getLabelContourMask(Mat image,
boolean thick_line) |
void |
SuperpixelLSC.getLabels(Mat labels_out) |
void |
SuperpixelSEEDS.getLabels(Mat labels_out) |
void |
SuperpixelSLIC.getLabels(Mat labels_out) |
void |
RidgeDetectionFilter.getRidgeFilteredImage(Mat _img,
Mat out) |
static void |
Ximgproc.guidedFilter(Mat guide,
Mat src,
Mat dst,
int radius,
double eps) |
static void |
Ximgproc.guidedFilter(Mat guide,
Mat src,
Mat dst,
int radius,
double eps,
int dDepth) |
void |
SparseMatchInterpolator.interpolate(Mat from_image,
Mat from_points,
Mat to_image,
Mat to_points,
Mat dense_flow) |
void |
SuperpixelSEEDS.iterate(Mat img) |
void |
SuperpixelSEEDS.iterate(Mat img,
int num_iterations) |
static void |
Ximgproc.jointBilateralFilter(Mat joint,
Mat src,
Mat dst,
int d,
double sigmaColor,
double sigmaSpace) |
static void |
Ximgproc.jointBilateralFilter(Mat joint,
Mat src,
Mat dst,
int d,
double sigmaColor,
double sigmaSpace,
int borderType) |
static void |
Ximgproc.l0Smooth(Mat src,
Mat dst) |
static void |
Ximgproc.l0Smooth(Mat src,
Mat dst,
double lambda) |
static void |
Ximgproc.l0Smooth(Mat src,
Mat dst,
double lambda,
double kappa) |
static void |
Ximgproc.niBlackThreshold(Mat _src,
Mat _dst,
double maxValue,
int type,
int blockSize,
double k) |
static void |
Ximgproc.niBlackThreshold(Mat _src,
Mat _dst,
double maxValue,
int type,
int blockSize,
double k,
int binarizationMethod) |
static void |
Ximgproc.PeiLinNormalization(Mat I,
Mat T) |
void |
GraphSegmentation.processImage(Mat src,
Mat dst) |
static void |
Ximgproc.rollingGuidanceFilter(Mat src,
Mat dst) |
static void |
Ximgproc.rollingGuidanceFilter(Mat src,
Mat dst,
int d) |
static void |
Ximgproc.rollingGuidanceFilter(Mat src,
Mat dst,
int d,
double sigmaColor) |
static void |
Ximgproc.rollingGuidanceFilter(Mat src,
Mat dst,
int d,
double sigmaColor,
double sigmaSpace) |
static void |
Ximgproc.rollingGuidanceFilter(Mat src,
Mat dst,
int d,
double sigmaColor,
double sigmaSpace,
int numOfIter) |
static void |
Ximgproc.rollingGuidanceFilter(Mat src,
Mat dst,
int d,
double sigmaColor,
double sigmaSpace,
int numOfIter,
int borderType) |
void |
SelectiveSearchSegmentation.setBaseImage(Mat img) |
void |
SelectiveSearchSegmentationStrategy.setImage(Mat img,
Mat regions,
Mat sizes) |
void |
SelectiveSearchSegmentationStrategy.setImage(Mat img,
Mat regions,
Mat sizes,
int image_id) |
static void |
Ximgproc.thinning(Mat src,
Mat dst) |
static void |
Ximgproc.thinning(Mat src,
Mat dst,
int thinningType) |
static void |
Ximgproc.transformFD(Mat src,
Mat t,
Mat dst) |
static void |
Ximgproc.transformFD(Mat src,
Mat t,
Mat dst,
boolean fdContour) |
static void |
Ximgproc.weightedMedianFilter(Mat joint,
Mat src,
Mat dst,
int r) |
static void |
Ximgproc.weightedMedianFilter(Mat joint,
Mat src,
Mat dst,
int r,
double sigma) |
static void |
Ximgproc.weightedMedianFilter(Mat joint,
Mat src,
Mat dst,
int r,
double sigma,
int weightType) |
static void |
Ximgproc.weightedMedianFilter(Mat joint,
Mat src,
Mat dst,
int r,
double sigma,
int weightType,
Mat mask) |
| Modifier and Type | Method and Description |
|---|---|
static void |
Xphoto.applyChannelGains(Mat src,
Mat dst,
float gainB,
float gainG,
float gainR) |
void |
WhiteBalancer.balanceWhite(Mat src,
Mat dst) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize,
int slidingStep) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize,
int slidingStep,
float beta) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize,
int slidingStep,
float beta,
int normType) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize,
int slidingStep,
float beta,
int normType,
int step) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dst,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize,
int slidingStep,
float beta,
int normType,
int step,
int transformType) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h,
int templateWindowSize) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h,
int templateWindowSize,
int searchWindowSize) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize,
int slidingStep) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize,
int slidingStep,
float beta) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize,
int slidingStep,
float beta,
int normType) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize,
int slidingStep,
float beta,
int normType,
int step) |
static void |
Xphoto.bm3dDenoising(Mat src,
Mat dstStep1,
Mat dstStep2,
float h,
int templateWindowSize,
int searchWindowSize,
int blockMatchingStep1,
int blockMatchingStep2,
int groupSize,
int slidingStep,
float beta,
int normType,
int step,
int transformType) |
static void |
Xphoto.dctDenoising(Mat src,
Mat dst,
double sigma) |
static void |
Xphoto.dctDenoising(Mat src,
Mat dst,
double sigma,
int psize) |
void |
LearningBasedWB.extractSimpleFeatures(Mat src,
Mat dst) |
static void |
Xphoto.inpaint(Mat src,
Mat mask,
Mat dst,
int algorithmType) |
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