Package | Description |
---|---|
org.bytedeco.opencv.global | |
org.bytedeco.opencv.opencv_core | |
org.bytedeco.opencv.opencv_face | |
org.bytedeco.opencv.opencv_imgproc |
Modifier and Type | Method and Description |
---|---|
static double |
opencv_calib3d.calibrateCamera(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs) |
static double |
opencv_calib3d.calibrateCamera(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrateCameraExtended(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors) |
static double |
opencv_calib3d.calibrateCameraExtended(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria)
\brief Finds the camera intrinsic and extrinsic parameters from several views of a calibration
pattern.
|
static double |
opencv_calib3d.calibrateCameraRO(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
int iFixedPoint,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat newObjPoints) |
static double |
opencv_calib3d.calibrateCameraRO(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
int iFixedPoint,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat newObjPoints,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrateCameraROExtended(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
int iFixedPoint,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat newObjPoints,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat stdDeviationsObjPoints,
Mat perViewErrors) |
static double |
opencv_calib3d.calibrateCameraROExtended(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
int iFixedPoint,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat newObjPoints,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat stdDeviationsObjPoints,
Mat perViewErrors,
int flags,
TermCriteria criteria)
\brief Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
|
static Mat |
opencv_calib3d.initCameraMatrix2D(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize) |
static Mat |
opencv_calib3d.initCameraMatrix2D(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
double aspectRatio)
\brief Finds an initial camera matrix from 3D-2D point correspondences.
|
static boolean |
opencv_face.loadFacePoints(String filename,
Point2fVectorVector points,
float offset)
\brief A utility to load facial landmark information from a given file.
|
static boolean |
opencv_face.loadTrainingData(String imageList,
String groundTruth,
StringVector images,
Point2fVectorVector facePoints,
float offset)
\brief A utility to load facial landmark information from the dataset.
|
static boolean |
opencv_face.loadTrainingData(String filename,
StringVector images,
Point2fVectorVector facePoints,
byte delim,
float offset)
\brief A utility to load facial landmark dataset from a single file.
|
static boolean |
opencv_face.loadTrainingData(StringVector filename,
Point2fVectorVector trainlandmarks,
StringVector trainimages)
\brief This function extracts the data for training from .txt files which contains the corresponding image name and landmarks.
|
static double |
opencv_calib3d.stereoCalibrate(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints1,
Point2fVectorVector imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F) |
static double |
opencv_calib3d.stereoCalibrate(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints1,
Point2fVectorVector 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 |
opencv_calib3d.stereoCalibrateExtended(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints1,
Point2fVectorVector imagePoints2,
Mat cameraMatrix1,
Mat distCoeffs1,
Mat cameraMatrix2,
Mat distCoeffs2,
Size imageSize,
Mat R,
Mat T,
Mat E,
Mat F,
Mat perViewErrors) |
static double |
opencv_calib3d.stereoCalibrateExtended(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints1,
Point2fVectorVector 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)
\brief Calibrates a stereo camera set up.
|
Modifier and Type | Method and Description |
---|---|
Point2fVectorVector |
Point2fVectorVector.push_back(Point2fVector value) |
Point2fVectorVector |
Point2fVectorVector.put(long i,
Point2fVector value) |
Point2fVectorVector |
Point2fVectorVector.put(Point2fVector... array) |
Point2fVectorVector |
Point2fVectorVector.put(Point2fVector value) |
Point2fVectorVector |
Point2fVectorVector.put(Point2fVectorVector x) |
Modifier and Type | Method and Description |
---|---|
Point2fVectorVector |
Point2fVectorVector.put(Point2fVectorVector x) |
Modifier and Type | Method and Description |
---|---|
boolean |
Facemark.fit(Mat image,
RectVector faces,
Point2fVectorVector landmarks)
\brief Detect facial landmarks from an image.
|
boolean |
FacemarkAAM.fitConfig(Mat image,
RectVector roi,
Point2fVectorVector _landmarks,
FacemarkAAM.Config runtime_params)
overload with additional Config structures
|
boolean |
FacemarkKazemi.training(MatVector images,
Point2fVectorVector landmarks,
BytePointer configfile,
Size scale) |
boolean |
FacemarkKazemi.training(MatVector images,
Point2fVectorVector landmarks,
BytePointer configfile,
Size scale,
BytePointer modelFilename)
\brief This function is used to train the model using gradient boosting to get a cascade of regressors
which can then be used to predict shape.
|
boolean |
FacemarkKazemi.training(MatVector images,
Point2fVectorVector landmarks,
String configfile,
Size scale) |
boolean |
FacemarkKazemi.training(MatVector images,
Point2fVectorVector landmarks,
String configfile,
Size scale,
String modelFilename) |
Modifier and Type | Method and Description |
---|---|
void |
Subdiv2D.getVoronoiFacetList(int[] idx,
Point2fVectorVector facetList,
Point2fVector facetCenters) |
void |
Subdiv2D.getVoronoiFacetList(IntBuffer idx,
Point2fVectorVector facetList,
Point2fVector facetCenters) |
void |
Subdiv2D.getVoronoiFacetList(IntPointer idx,
Point2fVectorVector facetList,
Point2fVector facetCenters)
\brief Returns a list of all Voronoi facets.
|
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