| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Method and Description |
|---|---|
opencv_core.UMat |
opencv_core.UMat.adjustROI(int dtop,
int dbottom,
int dleft,
int dright)
moves/resizes the current matrix ROI inside the parent matrix.
|
opencv_core.UMat |
opencv_core.UMat.allocator(opencv_core.MatAllocator allocator) |
opencv_core.UMat |
opencv_core.UMat.apply(opencv_core.Range ranges) |
opencv_core.UMat |
opencv_core.UMat.apply(opencv_core.Range rowRange,
opencv_core.Range colRange)
extracts a rectangular sub-matrix
|
opencv_core.UMat |
opencv_core.UMat.apply(opencv_core.Rect roi) |
opencv_core.UMat |
opencv_core.UMat.clone()
returns deep copy of the matrix, i.e.
|
opencv_core.UMat |
opencv_core.UMat.col(int x)
returns a new matrix header for the specified column
|
opencv_core.UMat |
opencv_core.UMat.colRange(int startcol,
int endcol)
...
|
opencv_core.UMat |
opencv_core.UMat.colRange(opencv_core.Range r) |
opencv_core.UMat |
opencv_core.UMat.cols(int cols) |
opencv_core.UMat |
opencv_stitching.ImageFeatures.descriptors() |
opencv_core.UMat |
opencv_core.UMat.diag() |
opencv_core.UMat |
opencv_core.UMat.diag(int d)
...
|
static opencv_core.UMat |
opencv_core.UMat.diag(opencv_core.UMat d)
constructs a square diagonal matrix which main diagonal is vector "d"
|
opencv_core.UMat |
opencv_core.UMat.dims(int dims) |
static opencv_core.UMat |
opencv_core.UMat.eye(int rows,
int cols,
int type) |
static opencv_core.UMat |
opencv_core.UMat.eye(opencv_core.Size size,
int type) |
opencv_core.UMat |
opencv_core.UMatBytePairVector.first(long i) |
opencv_core.UMat |
opencv_core.UMat.flags(int flags) |
opencv_core.UMat |
opencv_core.UMatVector.get(long i) |
opencv_core.UMat |
opencv_stitching.Timelapser.getDst() |
opencv_core.UMat |
opencv_core.Mat.getUMat(int accessFlags) |
opencv_core.UMat |
opencv_core.Mat.getUMat(int accessFlags,
int usageFlags)
retrieve UMat from Mat
|
opencv_core.UMat |
opencv_core.UMat.inv() |
opencv_core.UMat |
opencv_core.UMat.inv(int method)
matrix inversion by means of matrix expressions
|
opencv_core.UMat |
opencv_stitching.Stitcher.matchingMask() |
opencv_core.UMat |
opencv_core.UMat.mul(opencv_core.Mat m) |
opencv_core.UMat |
opencv_core.UMat.mul(opencv_core.Mat m,
double scale)
per-element matrix multiplication by means of matrix expressions
|
opencv_core.UMat |
opencv_objdetect.HOGDescriptor.oclSvmDetector() |
opencv_core.UMat |
opencv_core.UMat.offset(long offset) |
static opencv_core.UMat |
opencv_core.UMat.ones(int rows,
int cols,
int type) |
static opencv_core.UMat |
opencv_core.UMat.ones(opencv_core.Size size,
int type) |
opencv_core.UMat |
opencv_core.UMat.position(long position) |
opencv_core.UMat |
opencv_core.UMat.put(opencv_core.Scalar s)
sets every matrix element to s
|
opencv_core.UMat |
opencv_core.UMat.put(opencv_core.UMat m)
assignment operators
|
opencv_core.UMat |
opencv_core.UMat.reshape(int cn) |
opencv_core.UMat |
opencv_core.UMat.reshape(int cn,
int rows)
creates alternative matrix header for the same data, with different
|
opencv_core.UMat |
opencv_core.UMat.reshape(int cn,
int newndims,
int[] newsz) |
opencv_core.UMat |
opencv_core.UMat.reshape(int cn,
int newndims,
IntBuffer newsz) |
opencv_core.UMat |
opencv_core.UMat.reshape(int cn,
int newndims,
IntPointer newsz) |
opencv_core.UMat |
opencv_core.UMat.row(int y)
returns a new matrix header for the specified row
|
opencv_core.UMat |
opencv_core.UMat.rowRange(int startrow,
int endrow)
...
|
opencv_core.UMat |
opencv_core.UMat.rowRange(opencv_core.Range r) |
opencv_core.UMat |
opencv_core.UMat.rows(int rows) |
opencv_core.UMat |
opencv_core.UMat.setTo(opencv_core.Mat value) |
opencv_core.UMat |
opencv_core.UMat.setTo(opencv_core.Mat value,
opencv_core.Mat mask)
sets some of the matrix elements to s, according to the mask
|
opencv_core.UMat |
opencv_core.UMat.t()
matrix transposition by means of matrix expressions
|
opencv_core.UMat |
opencv_core.UMat.u(opencv_core.UMatData u) |
opencv_core.UMat |
opencv_dnn.Blob.umatRef()
Returns reference to cv::UMat, containing blob data (not implemented yet).
|
opencv_core.UMat |
opencv_dnn.Blob.umatRefConst()
Returns reference to cv::UMat, containing blob data, for read-only purposes (not implemented yet).
|
opencv_core.UMat |
opencv_core.UMat.usageFlags(int usageFlags) |
static opencv_core.UMat |
opencv_core.UMat.zeros(int rows,
int cols,
int type)
Matlab-style matrix initialization
|
static opencv_core.UMat |
opencv_core.UMat.zeros(opencv_core.Size size,
int type) |
| Modifier and Type | Method and Description |
|---|---|
void |
opencv_stitching.FeaturesMatcher.apply(opencv_stitching.ImageFeatures features,
opencv_stitching.MatchesInfo pairwise_matches,
opencv_core.UMat mask)
\brief Performs images matching.
|
void |
opencv_stitching.BestOf2NearestRangeMatcher.apply(opencv_stitching.ImageFeatures features,
opencv_stitching.MatchesInfo pairwise_matches,
opencv_core.UMat mask) |
void |
opencv_core.UMat.assignTo(opencv_core.UMat m) |
void |
opencv_core.UMat.assignTo(opencv_core.UMat m,
int type) |
void |
opencv_core.UMat.copySize(opencv_core.UMat m)
internal use function; properly re-allocates _size, _step arrays
|
opencv_stitching.ImageFeatures |
opencv_stitching.ImageFeatures.descriptors(opencv_core.UMat descriptors) |
static opencv_core.UMat |
opencv_core.UMat.diag(opencv_core.UMat d)
constructs a square diagonal matrix which main diagonal is vector "d"
|
opencv_core.UMatBytePairVector |
opencv_core.UMatBytePairVector.first(long i,
opencv_core.UMat first) |
static void |
opencv_core.max(opencv_core.UMat src1,
opencv_core.UMat src2,
opencv_core.UMat dst)
\overload
needed to avoid conflicts with const _Tp& std::min(const _Tp&, const _Tp&, _Compare)
|
static void |
opencv_core.min(opencv_core.UMat src1,
opencv_core.UMat src2,
opencv_core.UMat dst)
\overload
needed to avoid conflicts with const _Tp& std::min(const _Tp&, const _Tp&, _Compare)
|
opencv_objdetect.HOGDescriptor |
opencv_objdetect.HOGDescriptor.oclSvmDetector(opencv_core.UMat oclSvmDetector) |
static int |
opencv_core.print(opencv_core.UMat mtx) |
static int |
opencv_core.print(opencv_core.UMat mtx,
Pointer stream) |
opencv_core.UMatVector |
opencv_core.UMatVector.put(long i,
opencv_core.UMat value) |
opencv_core.UMatVector |
opencv_core.UMatVector.put(opencv_core.UMat... array) |
opencv_core.UMat |
opencv_core.UMat.put(opencv_core.UMat m)
assignment operators
|
opencv_core.UMatBytePairVector |
opencv_core.UMatBytePairVector.put(opencv_core.UMat[] firstValue,
byte[] secondValue) |
void |
opencv_stitching.Stitcher.setMatchingMask(opencv_core.UMat mask) |
opencv_videoio.VideoCapture |
opencv_videoio.VideoCapture.shiftRight(opencv_core.UMat image) |
static void |
opencv_core.swap(opencv_core.UMat a,
opencv_core.UMat b)
\overload
|
| Constructor and Description |
|---|
opencv_core.UMat(opencv_core.UMat m)
copy constructor
|
opencv_core.UMat(opencv_core.UMat m,
opencv_core.Range rowRange) |
opencv_core.UMat(opencv_core.UMat m,
opencv_core.Range rowRange,
opencv_core.Range colRange)
creates a matrix header for a part of the bigger matrix
|
opencv_core.UMat(opencv_core.UMat m,
opencv_core.Rect roi) |
opencv_core.UMatBytePairVector(opencv_core.UMat[] firstValue,
byte[] secondValue) |
opencv_core.UMatVector(opencv_core.UMat... array) |
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