Inheritance diagram for OpenCVForUnity.CoreModule.Mat:

Public Member Functions
	Mat (IntPtr addr)

	Mat ()

	Mat (int rows, int cols, int type)

	Mat (Size size, int type)

	Mat (int[] sizes, int type)

	Mat (int rows, int cols, int type, Scalar s)

	Mat (Size size, int type, Scalar s)

	Mat (int[] sizes, int type, Scalar s)

	Mat (Mat m, Range rowRange, Range colRange)

	Mat (Mat m, Range rowRange)

	Mat (Mat m, Range[] ranges)

	Mat (Mat m, Rect roi)

	Mat (int rows, int cols, int type, IntPtr data, long step=AUTO_STEP)

	Mat (Size size, int type, IntPtr data, long step=AUTO_STEP)

Mat	adjustROI (int dtop, int dbottom, int dleft, int dright)

void	assignTo (Mat m, int type)

void	assignTo (Mat m)

int	channels ()

int	checkVector (int elemChannels, int depth, bool requireContinuous)

int	checkVector (int elemChannels, int depth)

int	checkVector (int elemChannels)

Mat	clone ()

Mat	col (int x)

Mat	colRange (int startcol, int endcol)

Mat	colRange (Range r)

int	dims ()

int	cols ()

void	convertTo (Mat m, int rtype, double alpha, double beta)

void	convertTo (Mat m, int rtype, double alpha)

void	convertTo (Mat m, int rtype)

void	copyTo (Mat m)

void	copyTo (Mat m, Mat mask)

void	create (int rows, int cols, int type)

void	create (Size size, int type)

void	create (int[] sizes, int type)

void	copySize (Mat m)

Mat	cross (Mat m)

long	dataAddr ()

int	depth ()

Mat	diag (int d)

Mat	diag ()

double	dot (Mat m)

long	elemSize ()

long	elemSize1 ()

bool	empty ()

Mat	inv (int method)

Mat	inv ()

bool	isContinuous ()

bool	isSubmatrix ()

void	locateROI (Size wholeSize, Point ofs)

Mat	mul (Mat m, double scale)

Mat	mul (Mat m)

Mat	matMul (Mat m)

void	push_back (Mat m)

void	release ()

Mat	reshape (int cn, int rows)

Mat	reshape (int cn)

Mat	reshape (int cn, int[] newshape)

Mat	row (int y)

Mat	rowRange (int startrow, int endrow)

Mat	rowRange (Range r)

int	rows ()

Mat	setTo (Scalar s)

Mat	setTo (Scalar value, Mat mask)

Mat	setTo (Mat value, Mat mask)

Mat	setTo (Mat value)

Size	size ()

int	size (int i)

long	step1 (int i)

long	step1 ()

Mat	submat (int rowStart, int rowEnd, int colStart, int colEnd)

Mat	submat (Range rowRange, Range colRange)

Mat	submat (Range[] ranges)

Mat	submat (Rect roi)

Mat	t ()

long	total ()

int	type ()

override string	ToString ()

string	dump ()

int	put (int row, int col, params double[] data)

int	put (int[] idx, params double[] data)

int	put (int row, int col, float[] data)

int	put (int[] idx, float[] data)

int	put (int row, int col, int[] data)

int	put (int[] idx, int[] data)

int	put (int row, int col, short[] data)

int	put (int[] idx, short[] data)

int	put (int row, int col, byte[] data)

int	put (int[] idx, byte[] data)

int	put (int row, int col, byte[] data, int offset, int length)

int	put (int[] idx, byte[] data, int offset, int length)

int	get (int row, int col, byte[] data)

int	get (int[] idx, byte[] data)

int	get (int row, int col, short[] data)

int	get (int[] idx, short[] data)

int	get (int row, int col, int[] data)

int	get (int[] idx, int[] data)

int	get (int row, int col, float[] data)

int	get (int[] idx, float[] data)

int	get (int row, int col, double[] data)

int	get (int[] idx, double[] data)

double []	get (int row, int col)

double []	get (int[] idx)

int	height ()

int	width ()

IntPtr	getNativeObjAddr ()

int	put (int row, int col, double[] data, int length)

int	put (int[] idx, double[] data, int length)

int	put (int row, int col, float[] data, int length)

int	put (int[] idx, float[] data, int length)

int	put (int row, int col, int[] data, int length)

int	put (int[] idx, int[] data, int length)

int	put (int row, int col, short[] data, int length)

int	put (int[] idx, short[] data, int length)

int	put (int row, int col, ushort[] data)

int	put (int row, int col, ushort[] data, int length)

int	put (int[] idx, ushort[] data)

int	put (int[] idx, ushort[] data, int length)

int	put (int row, int col, sbyte[] data)

int	put (int row, int col, sbyte[] data, int length)

int	put (int[] idx, sbyte[] data)

int	put (int[] idx, sbyte[] data, int length)

int	put (int row, int col, sbyte[] data, int offset, int length)

int	put (int[] idx, sbyte[] data, int offset, int length)

int	put (int row, int col, byte[] data, int length)

int	put (int[] idx, byte[] data, int length)

int	get (int row, int col, sbyte[] data)

int	get (int row, int col, sbyte[] data, int length)

int	get (int[] idx, sbyte[] data)

int	get (int[] idx, sbyte[] data, int length)

int	get (int row, int col, byte[] data, int length)

int	get (int[] idx, byte[] data, int length)

int	get (int row, int col, short[] data, int length)

int	get (int[] idx, short[] data, int length)

int	get (int row, int col, ushort[] data)

int	get (int row, int col, ushort[] data, int length)

int	get (int[] idx, ushort[] data)

int	get (int[] idx, ushort[] data, int length)

int	get (int row, int col, int[] data, int length)

int	get (int[] idx, int[] data, int length)

int	get (int row, int col, float[] data, int length)

int	get (int[] idx, float[] data, int length)

int	get (int row, int col, double[] data, int length)

int	get (int[] idx, double[] data, int length)

int	put (int row, int col, Span< double > data)

int	put (int row, int col, Span< double > data, int length)

int	put (int[] idx, Span< double > data)

int	put (int[] idx, Span< double > data, int length)

int	put (int row, int col, Span< float > data)

int	put (int row, int col, Span< float > data, int length)

int	put (int[] idx, Span< float > data)

int	put (int[] idx, Span< float > data, int length)

int	put (int row, int col, Span< int > data)

int	put (int row, int col, Span< int > data, int length)

int	put (int[] idx, Span< int > data)

int	put (int[] idx, Span< int > data, int length)

int	put (int row, int col, Span< short > data)

int	put (int row, int col, Span< short > data, int length)

int	put (int[] idx, Span< short > data)

int	put (int[] idx, Span< short > data, int length)

int	put (int row, int col, Span< ushort > data)

int	put (int row, int col, Span< ushort > data, int length)

int	put (int[] idx, Span< ushort > data)

int	put (int[] idx, Span< ushort > data, int length)

int	put (int row, int col, Span< sbyte > data)

int	put (int row, int col, Span< sbyte > data, int length)

int	put (int[] idx, Span< sbyte > data)

int	put (int[] idx, Span< sbyte > data, int length)

int	put (int row, int col, Span< sbyte > data, int offset, int length)

int	put (int[] idx, Span< sbyte > data, int offset, int length)

int	put (int row, int col, Span< byte > data)

int	put (int row, int col, Span< byte > data, int length)

int	put (int[] idx, Span< byte > data)

int	put (int[] idx, Span< byte > data, int length)

int	put (int row, int col, Span< byte > data, int offset, int length)

int	put (int[] idx, Span< byte > data, int offset, int length)

int	get (int row, int col, Span< sbyte > data)

int	get (int row, int col, Span< sbyte > data, int length)

int	get (int[] idx, Span< sbyte > data)

int	get (int[] idx, Span< sbyte > data, int length)

int	get (int row, int col, Span< byte > data)

int	get (int row, int col, Span< byte > data, int length)

int	get (int[] idx, Span< byte > data)

int	get (int[] idx, Span< byte > data, int length)

int	get (int row, int col, Span< short > data)

int	get (int row, int col, Span< short > data, int length)

int	get (int[] idx, Span< short > data)

int	get (int[] idx, Span< short > data, int length)

int	get (int row, int col, Span< ushort > data)

int	get (int row, int col, Span< ushort > data, int length)

int	get (int[] idx, Span< ushort > data)

int	get (int[] idx, Span< ushort > data, int length)

int	get (int row, int col, Span< int > data)

int	get (int row, int col, Span< int > data, int length)

int	get (int[] idx, Span< int > data)

int	get (int[] idx, Span< int > data, int length)

int	get (int row, int col, Span< float > data)

int	get (int row, int col, Span< float > data, int length)

int	get (int[] idx, Span< float > data)

int	get (int[] idx, Span< float > data, int length)

int	get (int row, int col, Span< double > data)

int	get (int row, int col, Span< double > data, int length)

int	get (int[] idx, Span< double > data)

int	get (int[] idx, Span< double > data, int length)

Span< T >	AsSpan< T > ()

Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()

void	ThrowIfDisposed ()

Static Public Member Functions
static Mat	diag (Mat d)

static Mat	eye (int rows, int cols, int type)

static Mat	eye (Size size, int type)

static Mat	ones (int rows, int cols, int type)

static Mat	ones (Size size, int type)

static Mat	ones (int[] sizes, int type)

static Mat	zeros (int rows, int cols, int type)

static Mat	zeros (Size size, int type)

static Mat	zeros (int[] sizes, int type)

static Mat	operator- (Mat a)

static Mat	operator~ (Mat a)

static Mat	operator+ (Mat a, Mat b)

static Mat	operator+ (Mat a, Scalar s)

static Mat	operator+ (Scalar s, Mat a)

static Mat	operator- (Mat a, Mat b)

static Mat	operator- (Mat a, Scalar s)

static Mat	operator- (Scalar s, Mat a)

static Mat	operator* (Mat a, Mat b)

static Mat	operator* (Mat a, double s)

static Mat	operator* (double s, Mat a)

static Mat	operator/ (Mat a, Mat b)

static Mat	operator/ (double s, Mat a)

static Mat	operator/ (Mat a, double s)

static Mat	operator& (Mat a, Mat b)

static Mat	operator& (Mat a, Scalar s)

static Mat	operator& (Scalar s, Mat a)

static Mat	operator\| (Mat a, Mat b)

static Mat	operator\| (Mat a, Scalar s)

static Mat	operator\| (Scalar s, Mat a)

static Mat	operator^ (Mat a, Mat b)

static Mat	operator^ (Mat a, Scalar s)

static Mat	operator^ (Scalar s, Mat a)

Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)

Public Attributes
const int	AUTO_STEP = 0

Protected Member Functions
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()

	DisposableOpenCVObject (IntPtr ptr)

	DisposableOpenCVObject (bool isEnabledDispose)

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)

override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()

	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed `[get, protected set]`

bool	IsEnabledDispose `[get, set]`

Detailed Description

OpenCV C++ n-dimensional dense array class

class CV_EXPORTS Mat

// C++ code:

public:

//... a lot of methods......

/ *! includes several bit-fields:

- the magic signature

- continuity flag

- depth

- number of channels

int flags;

//! the array dimensionality, >= 2

int dims;

//! the number of rows and columns or (-1, -1) when the array has more than 2 dimensions

int rows, cols;

//! pointer to the data

uchar* data;

//! pointer to the reference counter;

// when array points to user-allocated data, the pointer is NULL

int* refcount;

// other members...

};

The class Mat represents an n-dimensional dense numerical single-channel or multi-channel array. It can be used to store real or complex-valued vectors and matrices, grayscale or color images, voxel volumes, vector fields, point clouds, tensors, histograms (though, very high-dimensional histograms may be better stored in a SparseMat). The data layout of the array

M is defined by the array M.step[], so that the address of element (i_0,...,i_(M.dims-1)), where 0 <= i_k&ltM.size[k], is computed as:

addr(M_(i_0,...,i_(M.dims-1))) = M.data + M.step[0]*i_0 + M.step[1]*i_1 +... + M.step[M.dims-1]*i_(M.dims-1)

In case of a 2-dimensional array, the above formula is reduced to:

addr(M_(i,j)) = M.data + M.step[0]*i + M.step[1]*j

Note that M.step[i] >= M.step[i+1] (in fact, M.step[i] >= M.step[i+1]*M.size[i+1]). This means that 2-dimensional matrices are stored row-by-row, 3-dimensional matrices are stored plane-by-plane, and so on. M.step[M.dims-1] is minimal and always equal to the element size M.elemSize().

So, the data layout in Mat is fully compatible with CvMat, IplImage, and CvMatND types from OpenCV 1.x. It is also compatible with the majority of dense array types from the standard toolkits and SDKs, such as Numpy (ndarray), Win32 (independent device bitmaps), and others, that is, with any array that uses steps (or strides) to compute the position of a pixel. Due to this compatibility, it is possible to make a Mat header for user-allocated data and process it in-place using OpenCV functions.

There are many different ways to create a Mat object. The most popular options are listed below:

Use the create(nrows, ncols, type) method or the similar Mat(nrows, ncols, type[, fillValue]) constructor. A new array of the specified size and type is allocated. type has the same meaning as in the cvCreateMat method.

For example, CV_8UC1 means a 8-bit single-channel array, CV_32FC2 means a 2-channel (complex) floating-point array, and so on.

// C++ code:

// make a 7x7 complex matrix filled with 1+3j.

Mat M(7,7,CV_32FC2,Scalar(1,3));

// and now turn M to a 100x60 15-channel 8-bit matrix.

// The old content will be deallocated

M.create(100,60,CV_8UC(15));

As noted in the introduction to this chapter, create() allocates only a new array when the shape or type of the current array are different from the specified ones.

Create a multi-dimensional array:

// C++ code:

// create a 100x100x100 8-bit array

int sz[] = {100, 100, 100};

Mat bigCube(3, sz, CV_8U, Scalar.all(0));

It passes the number of dimensions =1 to the Mat constructor but the created array will be 2-dimensional with the number of columns set to 1. So, Mat.dims is always >= 2 (can also be 0 when the array is empty).

Use a copy constructor or assignment operator where there can be an array or expression on the right side (see below). As noted in the introduction, the array assignment is an O(1) operation because it only copies the header and increases the reference counter. The Mat.clone() method can be used to get a full (deep) copy of the array when you need it.
Construct a header for a part of another array. It can be a single row, single column, several rows, several columns, rectangular region in the array (called a minor in algebra) or a diagonal. Such operations are also O(1) because the new header references the same data. You can actually modify a part of the array using this feature, for example:

// C++ code:

// add the 5-th row, multiplied by 3 to the 3rd row

M.row(3) = M.row(3) + M.row(5)*3;

// now copy the 7-th column to the 1-st column

// M.col(1) = M.col(7); // this will not work

Mat M1 = M.col(1);

M.col(7).copyTo(M1);

// create a new 320x240 image

Mat img(Size(320,240),CV_8UC3);

// select a ROI

Mat roi(img, Rect(10,10,100,100));

// fill the ROI with (0,255,0) (which is green in RGB space);

// the original 320x240 image will be modified

roi = Scalar(0,255,0);

Due to the additional datastart and dataend members, it is possible to compute a relative sub-array position in the main container array using locateROI():

// C++ code:

Mat A = Mat.eye(10, 10, CV_32S);

// extracts A columns, 1 (inclusive) to 3 (exclusive).

Mat B = A(Range.all(), Range(1, 3));

// extracts B rows, 5 (inclusive) to 9 (exclusive).

// that is, C ~ A(Range(5, 9), Range(1, 3))

Mat C = B(Range(5, 9), Range.all());

Size size; Point ofs;

C.locateROI(size, ofs);

// size will be (width=10,height=10) and the ofs will be (x=1, y=5)

As in case of whole matrices, if you need a deep copy, use the clone() method of the extracted sub-matrices.

Make a header for user-allocated data. It can be useful to do the following:
Process "foreign" data using OpenCV (for example, when you implement a DirectShow* filter or a processing module for gstreamer, and so on). For example:

// C++ code:

void process_video_frame(const unsigned char* pixels,

int width, int height, int step)

Mat img(height, width, CV_8UC3, pixels, step);

GaussianBlur(img, img, Size(7,7), 1.5, 1.5);

Quickly initialize small matrices and/or get a super-fast element access.

// C++ code:

double m[3][3] = {{a, b, c}, {d, e, f}, {g, h, i}};

Mat M = Mat(3, 3, CV_64F, m).inv();

Partial yet very common cases of this user-allocated data case are conversions from CvMat and IplImage to Mat. For this purpose, there are special constructors taking pointers to CvMat or IplImage and the optional flag indicating whether to copy the data or not.

Backward conversion from Mat to CvMat or IplImage is provided via cast operators Mat.operator CvMat() const and Mat.operator IplImage(). The operators do NOT copy the data.

// C++ code:

IplImage* img = cvLoadImage("greatwave.jpg", 1);

Mat mtx(img); // convert IplImage* -> Mat

CvMat oldmat = mtx; // convert Mat -> CvMat

CV_Assert(oldmat.cols == img->width && oldmat.rows == img->height &&

oldmat.data.ptr == (uchar*)img->imageData && oldmat.step == img->widthStep);

Use MATLAB-style array initializers, zeros(), ones(), eye(), for example:

// C++ code:

// create a double-precision identity martix and add it to M.

M += Mat.eye(M.rows, M.cols, CV_64F);

Use a comma-separated initializer:

// C++ code:

// create a 3x3 double-precision identity matrix

Mat M = (Mat_<double>(3,3) << 1, 0, 0, 0, 1, 0, 0, 0, 1);

With this approach, you first call a constructor of the "Mat_" class with the proper parameters, and then you just put << operator followed by comma-separated values that can be constants, variables, expressions, and so on. Also, note the extra parentheses required to avoid compilation errors.

Once the array is created, it is automatically managed via a reference-counting mechanism. If the array header is built on top of user-allocated data, you should handle the data by yourself. The array data is deallocated when no one points to it. If you want to release the data pointed by a array header before the array destructor is called, use Mat.release().

The next important thing to learn about the array class is element access. This manual already described how to compute an address of each array element. Normally, you are not required to use the formula directly in the code. If you know the array element type (which can be retrieved using the method Mat.type()), you can access the elementM_(ij) of a 2-dimensional array as:

// C++ code:

M.at<double>(i,j) += 1.f;

assuming that M is a double-precision floating-point array. There are several variants of the method at for a different number of dimensions.

If you need to process a whole row of a 2D array, the most efficient way is to get the pointer to the row first, and then just use the plain C operator [] :

// C++ code:

// compute sum of positive matrix elements

// (assuming that M isa double-precision matrix)

double sum=0;

for(int i = 0; i < M.rows; i++)

const double* Mi = M.ptr<double>(i);

for(int j = 0; j < M.cols; j++)

sum += std.max(Mi[j], 0.);

Some operations, like the one above, do not actually depend on the array shape. They just process elements of an array one by one (or elements from multiple arrays that have the same coordinates, for example, array addition). Such operations are called element-wise. It makes sense to check whether all the input/output arrays are continuous, namely, have no gaps at the end of each row. If yes, process them as a long single row:

// compute the sum of positive matrix elements, optimized variant

double sum=0;

int cols = M.cols, rows = M.rows;

if(M.isContinuous())

cols *= rows;

rows = 1;

for(int i = 0; i < rows; i++)

const double* Mi = M.ptr<double>(i);

for(int j = 0; j < cols; j++)

sum += std.max(Mi[j], 0.);

In case of the continuous matrix, the outer loop body is executed just once. So, the overhead is smaller, which is especially noticeable in case of small matrices.

Finally, there are STL-style iterators that are smart enough to skip gaps between successive rows:

// C++ code:

// compute sum of positive matrix elements, iterator-based variant

double sum=0;

MatConstIterator_<double> it = M.begin<double>(), it_end = M.end<double>();

for(; it != it_end; ++it)

sum += std.max(*it, 0.);

The matrix iterators are random-access iterators, so they can be passed to any STL algorithm, including std.sort().

Note:

An example demonstrating the serial out capabilities of cv.Mat can be found at opencv_source_code/samples/cpp/cout_mat.cpp

See also: org.opencv.core.Mat

Constructor & Destructor Documentation

◆ Mat() [1/14]

OpenCVForUnity.CoreModule.Mat.Mat ( IntPtr addr )

◆ Mat() [2/14]

OpenCVForUnity.CoreModule.Mat.Mat ( )

Various Mat constructors

These are various constructors that form a matrix. As noted in the "AutomaticAllocation", often the default constructor is enough, and the proper matrix will be allocated by an OpenCV function. The constructed matrix can further be assigned to another matrix or matrix expression or can be allocated with "Mat.create". In the former case, the old content is de-referenced.

See also: org.opencv.core.Mat.Mat

◆ Mat() [3/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	int	rows,
		int	cols,
		int	type
	)

Various Mat constructors

These are various constructors that form a matrix. As noted in the "AutomaticAllocation", often the default constructor is enough, and the proper matrix will be allocated by an OpenCV function. The constructed matrix can further be assigned to another matrix or matrix expression or can be allocated with "Mat.create". In the former case, the old content is de-referenced.

Parameters

rows	Number of rows in a 2D array.
cols	Number of columns in a 2D array.
type	Array type. Use `CV_8UC1,..., CV_64FC4` to create 1-4 channel matrices, or `CV_8UC(n),..., CV_64FC(n)` to create multi-channel (up to `CV_CN_MAX` channels) matrices.

See also: org.opencv.core.Mat.Mat

◆ Mat() [4/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	Size	size,
		int	type
	)

Various Mat constructors

These are various constructors that form a matrix. As noted in the "AutomaticAllocation", often the default constructor is enough, and the proper matrix will be allocated by an OpenCV function. The constructed matrix can further be assigned to another matrix or matrix expression or can be allocated with "Mat.create". In the former case, the old content is de-referenced.

Parameters

size	2D array size: `Size(cols, rows)`. In the `Size()` constructor, the number of rows and the number of columns go in the reverse order.
type	Array type. Use `CV_8UC1,..., CV_64FC4` to create 1-4 channel matrices, or `CV_8UC(n),..., CV_64FC(n)` to create multi-channel (up to `CV_CN_MAX` channels) matrices.

See also: org.opencv.core.Mat.Mat

◆ Mat() [5/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	int []	sizes,
		int	type
	)

◆ Mat() [6/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	int	rows,
		int	cols,
		int	type,
		Scalar	s
	)

Various Mat constructors

These are various constructors that form a matrix. As noted in the "AutomaticAllocation", often the default constructor is enough, and the proper matrix will be allocated by an OpenCV function. The constructed matrix can further be assigned to another matrix or matrix expression or can be allocated with "Mat.create". In the former case, the old content is de-referenced.

Parameters

rows	Number of rows in a 2D array.
cols	Number of columns in a 2D array.
type	Array type. Use `CV_8UC1,..., CV_64FC4` to create 1-4 channel matrices, or `CV_8UC(n),..., CV_64FC(n)` to create multi-channel (up to `CV_CN_MAX` channels) matrices.
s	An optional value to initialize each matrix element with. To set all the matrix elements to the particular value after the construction, use the assignment operator `Mat.operator=(const Scalar& value)`.

See also: org.opencv.core.Mat.Mat

◆ Mat() [7/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	Size	size,
		int	type,
		Scalar	s
	)

Various Mat constructors

These are various constructors that form a matrix. As noted in the "AutomaticAllocation", often the default constructor is enough, and the proper matrix will be allocated by an OpenCV function. The constructed matrix can further be assigned to another matrix or matrix expression or can be allocated with "Mat.create". In the former case, the old content is de-referenced.

Parameters

size	2D array size: `Size(cols, rows)`. In the `Size()` constructor, the number of rows and the number of columns go in the reverse order.
type	Array type. Use `CV_8UC1,..., CV_64FC4` to create 1-4 channel matrices, or `CV_8UC(n),..., CV_64FC(n)` to create multi-channel (up to `CV_CN_MAX` channels) matrices.
s	An optional value to initialize each matrix element with. To set all the matrix elements to the particular value after the construction, use the assignment operator `Mat.operator=(const Scalar& value)`.

See also: org.opencv.core.Mat.Mat

◆ Mat() [8/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	int []	sizes,
		int	type,
		Scalar	s
	)

◆ Mat() [9/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	Mat	m,
		Range	rowRange,
		Range	colRange
	)

Various Mat constructors

These are various constructors that form a matrix. As noted in the "AutomaticAllocation", often the default constructor is enough, and the proper matrix will be allocated by an OpenCV function. The constructed matrix can further be assigned to another matrix or matrix expression or can be allocated with "Mat.create". In the former case, the old content is de-referenced.

Parameters

m	Array that (as a whole or partly) is assigned to the constructed matrix. No data is copied by these constructors. Instead, the header pointing to `m` data or its sub-array is constructed and associated with it. The reference counter, if any, is incremented. So, when you modify the matrix formed using such a constructor, you also modify the corresponding elements of `m`. If you want to have an independent copy of the sub-array, use `Mat.clone()`.
rowRange	Range of the `m` rows to take. As usual, the range start is inclusive and the range end is exclusive. Use `Range.all()` to take all the rows.
colRange	Range of the `m` columns to take. Use `Range.all()` to take all the columns.

See also: org.opencv.core.Mat.Mat

◆ Mat() [10/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	Mat	m,
		Range	rowRange
	)

Various Mat constructors

These are various constructors that form a matrix. As noted in the "AutomaticAllocation", often the default constructor is enough, and the proper matrix will be allocated by an OpenCV function. The constructed matrix can further be assigned to another matrix or matrix expression or can be allocated with "Mat.create". In the former case, the old content is de-referenced.

Parameters

m Array that (as a whole or partly) is assigned to the constructed matrix. No data is copied by these constructors. Instead, the header pointing to m data or its sub-array is constructed and associated with it. The reference counter, if any, is incremented. So, when you modify the matrix formed using such a constructor, you also modify the corresponding elements of m. If you want to have an independent copy of the sub-array, use Mat.clone().

rowRange Range of the m rows to take. As usual, the range start is inclusive and the range end is exclusive. Use Range.all() to take all the rows.

See also: org.opencv.core.Mat.Mat

◆ Mat() [11/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	Mat	m,
		Range []	ranges
	)

◆ Mat() [12/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	Mat	m,
		Rect	roi
	)

Various Mat constructors

These are various constructors that form a matrix. As noted in the "AutomaticAllocation", often the default constructor is enough, and the proper matrix will be allocated by an OpenCV function. The constructed matrix can further be assigned to another matrix or matrix expression or can be allocated with "Mat.create". In the former case, the old content is de-referenced.

Parameters

m Array that (as a whole or partly) is assigned to the constructed matrix. No data is copied by these constructors. Instead, the header pointing to m data or its sub-array is constructed and associated with it. The reference counter, if any, is incremented. So, when you modify the matrix formed using such a constructor, you also modify the corresponding elements of m. If you want to have an independent copy of the sub-array, use Mat.clone().

roi Region of interest.

See also: org.opencv.core.Mat.Mat

◆ Mat() [13/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	int	rows,
		int	cols,
		int	type,
		IntPtr	data,
		long	step = `AUTO_STEP`
	)

Various Mat constructors

These are various constructors that form a matrix. As noted in the "AutomaticAllocation", often the default constructor is enough, and the proper matrix will be allocated by an OpenCV function. The constructed matrix can further be assigned to another matrix or matrix expression or can be allocated with "Mat.create". In the former case, the old content is de-referenced.

Parameters

rows	Number of rows in a 2D array.
cols	Number of columns in a 2D array.
type	Array type. Use `CV_8UC1,..., CV_64FC4` to create 1-4 channel matrices, or `CV_8UC(n),..., CV_64FC(n)` to create multi-channel (up to `CV_CN_MAX` channels) matrices.
s	An optional value to initialize each matrix element with. To set all the matrix elements to the particular value after the construction, use the assignment operator `Mat.operator=(const Scalar& value)`.

See also: org.opencv.core.Mat.Mat

◆ Mat() [14/14]

OpenCVForUnity.CoreModule.Mat.Mat	(	Size	size,
		int	type,
		IntPtr	data,
		long	step = `AUTO_STEP`
	)

Various Mat constructors

These are various constructors that form a matrix. As noted in the "AutomaticAllocation", often the default constructor is enough, and the proper matrix will be allocated by an OpenCV function. The constructed matrix can further be assigned to another matrix or matrix expression or can be allocated with "Mat.create". In the former case, the old content is de-referenced.

Parameters

rows	Number of rows in a 2D array.
cols	Number of columns in a 2D array.
type	Array type. Use `CV_8UC1,..., CV_64FC4` to create 1-4 channel matrices, or `CV_8UC(n),..., CV_64FC(n)` to create multi-channel (up to `CV_CN_MAX` channels) matrices.
s	An optional value to initialize each matrix element with. To set all the matrix elements to the particular value after the construction, use the assignment operator `Mat.operator=(const Scalar& value)`.

See also: org.opencv.core.Mat.Mat

Member Function Documentation

◆ adjustROI()

Mat OpenCVForUnity.CoreModule.Mat.adjustROI	(	int	dtop,
		int	dbottom,
		int	dleft,
		int	dright
	)

Adjusts a submatrix size and position within the parent matrix.

The method is complimentary to"Mat.locateROI". The typical use of these functions is to determine the submatrix position within the parent matrix and then shift the position somehow. Typically, it can be required for filtering operations when pixels outside of the ROI should be taken into account. When all the method parameters are positive, the ROI needs to grow in all directions by the specified amount, for example:

// C++ code:

A.adjustROI(2, 2, 2, 2);

In this example, the matrix size is increased by 4 elements in each direction. The matrix is shifted by 2 elements to the left and 2 elements up, which brings in all the necessary pixels for the filtering with the 5x5 kernel.

adjustROI forces the adjusted ROI to be inside of the parent matrix that is boundaries of the adjusted ROI are constrained by boundaries of the parent matrix. For example, if the submatrix A is located in the first row of a parent matrix and you called A.adjustROI(2, 2, 2, 2) then A will not be increased in the upward direction.

The function is used internally by the OpenCV filtering functions, like "filter2D", morphological operations, and so on.

Parameters

dtop	Shift of the top submatrix boundary upwards.
dbottom	Shift of the bottom submatrix boundary downwards.
dleft	Shift of the left submatrix boundary to the left.
dright	Shift of the right submatrix boundary to the right.

See also: org.opencv.core.Mat.adjustROI; org.opencv.imgproc.Imgproc::copyMakeBorder

◆ assignTo() [1/2]

void OpenCVForUnity.CoreModule.Mat.assignTo	(	Mat	m,
		int	type
	)

Provides a functional form of convertTo.

This is an internally used method called by the "MatrixExpressions" engine.

Parameters

m	Destination array.
type	Desired destination array depth (or -1 if it should be the same as the source type).

See also: org.opencv.core.Mat.assignTo

◆ assignTo() [2/2]

void OpenCVForUnity.CoreModule.Mat.assignTo ( Mat m )

Provides a functional form of convertTo.

This is an internally used method called by the "MatrixExpressions" engine.

Parameters

m	Destination array.

See also: org.opencv.core.Mat.assignTo

◆ AsSpan< T >()

Span<T> OpenCVForUnity.CoreModule.Mat.AsSpan< T > ( )

Type Constraints

T

:

unmanaged

◆ channels()

int OpenCVForUnity.CoreModule.Mat.channels ( )

Returns the number of matrix channels.

The method returns the number of matrix channels.

See also: org.opencv.core.Mat.channels

◆ checkVector() [1/3]

int OpenCVForUnity.CoreModule.Mat.checkVector	(	int	elemChannels,
		int	depth,
		bool	requireContinuous
	)

◆ checkVector() [2/3]

int OpenCVForUnity.CoreModule.Mat.checkVector	(	int	elemChannels,
		int	depth
	)

◆ checkVector() [3/3]

int OpenCVForUnity.CoreModule.Mat.checkVector ( int elemChannels )

◆ clone()

Mat OpenCVForUnity.CoreModule.Mat.clone ( )

Creates a full copy of the array and the underlying data.

The method creates a full copy of the array. The original step[] is not taken into account. So, the array copy is a continuous array occupying total()*elemSize() bytes.

See also: org.opencv.core.Mat.clone

◆ col()

Mat OpenCVForUnity.CoreModule.Mat.col ( int x )

Creates a matrix header for the specified matrix column.

The method makes a new header for the specified matrix column and returns it. This is an O(1) operation, regardless of the matrix size. The underlying data of the new matrix is shared with the original matrix. See also the "Mat.row" description.

Parameters

x	A 0-based column index.

See also: org.opencv.core.Mat.col

◆ colRange() [1/2]

Mat OpenCVForUnity.CoreModule.Mat.colRange	(	int	startcol,
		int	endcol
	)

Creates a matrix header for the specified column span.

The method makes a new header for the specified column span of the matrix. Similarly to "Mat.row" and "Mat.col", this is an O(1) operation.

Parameters

startcol	An inclusive 0-based start index of the column span.
endcol	An exclusive 0-based ending index of the column span.

See also: org.opencv.core.Mat.colRange

◆ colRange() [2/2]

Mat OpenCVForUnity.CoreModule.Mat.colRange ( Range r )

Creates a matrix header for the specified column span.

The method makes a new header for the specified column span of the matrix. Similarly to "Mat.row" and "Mat.col", this is an O(1) operation.

Parameters

r	"Range" structure containing both the start and the end indices.

See also: org.opencv.core.Mat.colRange

◆ cols()

int OpenCVForUnity.CoreModule.Mat.cols ( )

◆ convertTo() [1/3]

void OpenCVForUnity.CoreModule.Mat.convertTo	(	Mat	m,
		int	rtype,
		double	alpha,
		double	beta
	)

Converts an array to another data type with optional scaling.

The method converts source pixel values to the target data type. saturate_cast<> is applied at the end to avoid possible overflows:

m(x,y) = saturate _ cast&ltrType&gt(alpha(*this)(x,y) + beta)

Parameters

m	output matrix; if it does not have a proper size or type before the operation, it is reallocated.
rtype	desired output matrix type or, rather, the depth since the number of channels are the same as the input has; if `rtype` is negative, the output matrix will have the same type as the input.
alpha	optional scale factor.
beta	optional delta added to the scaled values.

See also: org.opencv.core.Mat.convertTo

◆ convertTo() [2/3]

void OpenCVForUnity.CoreModule.Mat.convertTo	(	Mat	m,
		int	rtype,
		double	alpha
	)

Converts an array to another data type with optional scaling.

The method converts source pixel values to the target data type. saturate_cast<> is applied at the end to avoid possible overflows:

m(x,y) = saturate _ cast&ltrType&gt(alpha(*this)(x,y) + beta)

Parameters

m	output matrix; if it does not have a proper size or type before the operation, it is reallocated.
rtype	desired output matrix type or, rather, the depth since the number of channels are the same as the input has; if `rtype` is negative, the output matrix will have the same type as the input.
alpha	optional scale factor.

See also: org.opencv.core.Mat.convertTo

◆ convertTo() [3/3]

void OpenCVForUnity.CoreModule.Mat.convertTo	(	Mat	m,
		int	rtype
	)

Converts an array to another data type with optional scaling.

The method converts source pixel values to the target data type. saturate_cast<> is applied at the end to avoid possible overflows:

m(x,y) = saturate _ cast&ltrType&gt(alpha(*this)(x,y) + beta)

Parameters

m	output matrix; if it does not have a proper size or type before the operation, it is reallocated.
rtype	desired output matrix type or, rather, the depth since the number of channels are the same as the input has; if `rtype` is negative, the output matrix will have the same type as the input.

See also: org.opencv.core.Mat.convertTo

◆ copySize()

void OpenCVForUnity.CoreModule.Mat.copySize ( Mat m )

◆ copyTo() [1/2]

void OpenCVForUnity.CoreModule.Mat.copyTo ( Mat m )

Copies the matrix to another one.

The method copies the matrix data to another matrix. Before copying the data, the method invokes

// C++ code:

m.create(this->size(), this->type());

so that the destination matrix is reallocated if needed. While m.copyTo(m); works flawlessly, the function does not handle the case of a partial overlap between the source and the destination matrices.

When the operation mask is specified, if the Mat.create call shown above reallocates the matrix, the newly allocated matrix is initialized with all zeros before copying the data.

Parameters

m	Destination matrix. If it does not have a proper size or type before the operation, it is reallocated.

See also: org.opencv.core.Mat.copyTo

◆ copyTo() [2/2]

void OpenCVForUnity.CoreModule.Mat.copyTo	(	Mat	m,
		Mat	mask
	)

Copies the matrix to another one.

The method copies the matrix data to another matrix. Before copying the data, the method invokes

// C++ code:

m.create(this->size(), this->type);

so that the destination matrix is reallocated if needed. While m.copyTo(m); works flawlessly, the function does not handle the case of a partial overlap between the source and the destination matrices.

When the operation mask is specified, and the Mat.create call shown above reallocated the matrix, the newly allocated matrix is initialized with all zeros before copying the data.

Parameters

m	Destination matrix. If it does not have a proper size or type before the operation, it is reallocated.
mask	Operation mask. Its non-zero elements indicate which matrix elements need to be copied.

See also: org.opencv.core.Mat.copyTo

◆ create() [1/3]

void OpenCVForUnity.CoreModule.Mat.create	(	int	rows,
		int	cols,
		int	type
	)

Allocates new array data if needed.

This is one of the key Mat methods. Most new-style OpenCV functions and methods that produce arrays call this method for each output array. The method uses the following algorithm:

If the current array shape and the type match the new ones, return immediately. Otherwise, de-reference the previous data by calling "Mat.release".
Initialize the new header.
Allocate the new data of total()*elemSize() bytes.
Allocate the new, associated with the data, reference counter and set it to 1.

Such a scheme makes the memory management robust and efficient at the same time and helps avoid extra typing for you. This means that usually there is no need to explicitly allocate output arrays. That is, instead of writing:

// C++ code:

Mat color;...

Mat gray(color.rows, color.cols, color.depth());

cvtColor(color, gray, CV_BGR2GRAY);

you can simply write:

Mat color;...

Mat gray;

cvtColor(color, gray, CV_BGR2GRAY);

because cvtColor, as well as the most of OpenCV functions, calls Mat.create() for the output array internally.

Parameters

rows	New number of rows.
cols	New number of columns.
type	New matrix type.

See also: org.opencv.core.Mat.create

◆ create() [2/3]

void OpenCVForUnity.CoreModule.Mat.create	(	Size	size,
		int	type
	)

Allocates new array data if needed.

This is one of the key Mat methods. Most new-style OpenCV functions and methods that produce arrays call this method for each output array. The method uses the following algorithm:

If the current array shape and the type match the new ones, return immediately. Otherwise, de-reference the previous data by calling "Mat.release".
Initialize the new header.
Allocate the new data of total()*elemSize() bytes.
Allocate the new, associated with the data, reference counter and set it to 1.

Such a scheme makes the memory management robust and efficient at the same time and helps avoid extra typing for you. This means that usually there is no need to explicitly allocate output arrays. That is, instead of writing:

// C++ code:

Mat color;...

Mat gray(color.rows, color.cols, color.depth());

cvtColor(color, gray, CV_BGR2GRAY);

you can simply write:

Mat color;...

Mat gray;

cvtColor(color, gray, CV_BGR2GRAY);

because cvtColor, as well as the most of OpenCV functions, calls Mat.create() for the output array internally.

Parameters

size	Alternative new matrix size specification: `Size(cols, rows)`
type	New matrix type.

See also: org.opencv.core.Mat.create

◆ create() [3/3]

void OpenCVForUnity.CoreModule.Mat.create	(	int []	sizes,
		int	type
	)

◆ cross()

Mat OpenCVForUnity.CoreModule.Mat.cross ( Mat m )

Computes a cross-product of two 3-element vectors.

The method computes a cross-product of two 3-element vectors. The vectors must be 3-element floating-point vectors of the same shape and size. The result is another 3-element vector of the same shape and type as operands.

Parameters

m	Another cross-product operand.

See also: org.opencv.core.Mat.cross

◆ dataAddr()

long OpenCVForUnity.CoreModule.Mat.dataAddr ( )

◆ depth()

int OpenCVForUnity.CoreModule.Mat.depth ( )

Returns the depth of a matrix element.

The method returns the identifier of the matrix element depth (the type of each individual channel). For example, for a 16-bit signed element array, the method returns CV_16S. A complete list of matrix types contains the following values:

CV_8U - 8-bit unsigned integers (0..255)
CV_8S - 8-bit signed integers (-128..127)
CV_16U - 16-bit unsigned integers (0..65535)
CV_16S - 16-bit signed integers (-32768..32767)
CV_32S - 32-bit signed integers (-2147483648..2147483647)
CV_32F - 32-bit floating-point numbers (-FLT_MAX..FLT_MAX, INF, NAN)
CV_64F - 64-bit floating-point numbers (-DBL_MAX..DBL_MAX, INF, NAN)

See also: org.opencv.core.Mat.depth

◆ diag() [1/3]

Mat OpenCVForUnity.CoreModule.Mat.diag ( int d )

Extracts a diagonal from a matrix, or creates a diagonal matrix.

The method makes a new header for the specified matrix diagonal. The new matrix is represented as a single-column matrix. Similarly to "Mat.row" and "Mat.col", this is an O(1) operation.

Parameters

d

Single-column matrix that forms a diagonal matrix or index of the diagonal, with the following values:

d=0 is the main diagonal.
d>0 is a diagonal from the lower half. For example, d=1 means the diagonal is set immediately below the main one.
d<0 is a diagonal from the upper half. For example, d=1 means the diagonal is set immediately above the main one.

See also: org.opencv.core.Mat.diag

◆ diag() [2/3]

Mat OpenCVForUnity.CoreModule.Mat.diag ( )

Extracts a diagonal from a matrix, or creates a diagonal matrix.

The method makes a new header for the specified matrix diagonal. The new matrix is represented as a single-column matrix. Similarly to "Mat.row" and "Mat.col", this is an O(1) operation.

See also: org.opencv.core.Mat.diag

◆ diag() [3/3]

static Mat OpenCVForUnity.CoreModule.Mat.diag ( Mat d )

static

Extracts a diagonal from a matrix, or creates a diagonal matrix.

The method makes a new header for the specified matrix diagonal. The new matrix is represented as a single-column matrix. Similarly to "Mat.row" and "Mat.col", this is an O(1) operation.

Parameters

d

Single-column matrix that forms a diagonal matrix or index of the diagonal, with the following values:

d=0 is the main diagonal.
d>0 is a diagonal from the lower half. For example, d=1 means the diagonal is set immediately below the main one.
d<0 is a diagonal from the upper half. For example, d=1 means the diagonal is set immediately above the main one.

See also: org.opencv.core.Mat.diag

◆ dims()

int OpenCVForUnity.CoreModule.Mat.dims ( )

◆ Dispose()

override void OpenCVForUnity.CoreModule.Mat.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.DisposableObject.

◆ dot()

double OpenCVForUnity.CoreModule.Mat.dot ( Mat m )

Computes a dot-product of two vectors.

The method computes a dot-product of two matrices. If the matrices are not single-column or single-row vectors, the top-to-bottom left-to-right scan ordering is used to treat them as 1D vectors. The vectors must have the same size and type. If the matrices have more than one channel, the dot products from all the channels are summed together.

Parameters

m	another dot-product operand.

See also: org.opencv.core.Mat.dot

◆ dump()

string OpenCVForUnity.CoreModule.Mat.dump ( )

◆ elemSize()

long OpenCVForUnity.CoreModule.Mat.elemSize ( )

Returns the matrix element size in bytes.

The method returns the matrix element size in bytes. For example, if the matrix type is CV_16SC3, the method returns 3*sizeof(short) or 6.

See also: org.opencv.core.Mat.elemSize

◆ elemSize1()

long OpenCVForUnity.CoreModule.Mat.elemSize1 ( )

Returns the size of each matrix element channel in bytes.

The method returns the matrix element channel size in bytes, that is, it ignores the number of channels. For example, if the matrix type is CV_16SC3, the method returns sizeof(short) or 2.

See also: org.opencv.core.Mat.elemSize1

◆ empty()

bool OpenCVForUnity.CoreModule.Mat.empty ( )

Returns true if the array has no elements.

The method returns true if Mat.total() is 0 or if Mat.data is NULL. Because of pop_back() and resize() methods M.total() == 0 does not imply that M.data == NULL.

See also: org.opencv.core.Mat.empty

◆ eye() [1/2]

static Mat OpenCVForUnity.CoreModule.Mat.eye	(	int	rows,
		int	cols,
		int	type
	)

static

Returns an identity matrix of the specified size and type.

The method returns a Matlab-style identity matrix initializer, similarly to "Mat.zeros". Similarly to"Mat.ones", you can use a scale operation to create a scaled identity matrix efficiently:

// C++ code:

// make a 4x4 diagonal matrix with 0.1's on the diagonal.

Mat A = Mat.eye(4, 4, CV_32F)*0.1;

Parameters


  
    rows Number of rows. 
    cols Number of columns. 
    type Created matrix type.


See also
org.opencv.core.Mat.eye

◆ eye() [2/2]

static Mat OpenCVForUnity.CoreModule.Mat.eye	(	Size	size,
		int	type
	)

static

Returns an identity matrix of the specified size and type.

The method returns a Matlab-style identity matrix initializer, similarly to "Mat.zeros". Similarly to"Mat.ones", you can use a scale operation to create a scaled identity matrix efficiently:

// C++ code:

// make a 4x4 diagonal matrix with 0.1's on the diagonal.

Mat A = Mat.eye(4, 4, CV_32F)*0.1;

Parameters


  
    size Alternative matrix size specification as Size(cols, rows). 
    type Created matrix type.


See also
org.opencv.core.Mat.eye

◆ get() [1/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		sbyte []	data
	)

◆ get() [2/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		sbyte []	data,
		int	length
	)

◆ get() [3/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		sbyte []	data
	)

◆ get() [4/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		sbyte []	data,
		int	length
	)

◆ get() [5/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		byte []	data,
		int	length
	)

◆ get() [6/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		byte []	data,
		int	length
	)

◆ get() [7/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		short []	data,
		int	length
	)

◆ get() [8/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		short []	data,
		int	length
	)

◆ get() [9/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		ushort []	data
	)

◆ get() [10/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		ushort []	data,
		int	length
	)

◆ get() [11/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		ushort []	data
	)

◆ get() [12/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		ushort []	data,
		int	length
	)

◆ get() [13/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		int []	data,
		int	length
	)

◆ get() [14/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		int []	data,
		int	length
	)

◆ get() [15/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		float []	data,
		int	length
	)

◆ get() [16/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		float []	data,
		int	length
	)

◆ get() [17/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		double []	data,
		int	length
	)

◆ get() [18/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		double []	data,
		int	length
	)

◆ get() [19/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< sbyte >	data
	)

◆ get() [20/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< sbyte >	data,
		int	length
	)

◆ get() [21/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< sbyte >	data
	)

◆ get() [22/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< sbyte >	data,
		int	length
	)

◆ get() [23/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< byte >	data
	)

◆ get() [24/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< byte >	data,
		int	length
	)

◆ get() [25/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< byte >	data
	)

◆ get() [26/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< byte >	data,
		int	length
	)

◆ get() [27/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< short >	data
	)

◆ get() [28/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< short >	data,
		int	length
	)

◆ get() [29/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< short >	data
	)

◆ get() [30/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< short >	data,
		int	length
	)

◆ get() [31/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< ushort >	data
	)

◆ get() [32/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< ushort >	data,
		int	length
	)

◆ get() [33/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< ushort >	data
	)

◆ get() [34/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< ushort >	data,
		int	length
	)

◆ get() [35/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< int >	data
	)

◆ get() [36/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< int >	data,
		int	length
	)

◆ get() [37/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< int >	data
	)

◆ get() [38/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< int >	data,
		int	length
	)

◆ get() [39/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< float >	data
	)

◆ get() [40/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< float >	data,
		int	length
	)

◆ get() [41/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< float >	data
	)

◆ get() [42/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< float >	data,
		int	length
	)

◆ get() [43/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< double >	data
	)

◆ get() [44/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		Span< double >	data,
		int	length
	)

◆ get() [45/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< double >	data
	)

◆ get() [46/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		Span< double >	data,
		int	length
	)

◆ get() [47/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		byte []	data
	)

◆ get() [48/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		byte []	data
	)

◆ get() [49/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		short []	data
	)

◆ get() [50/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		short []	data
	)

◆ get() [51/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		int []	data
	)

◆ get() [52/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		int []	data
	)

◆ get() [53/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		float []	data
	)

◆ get() [54/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		float []	data
	)

◆ get() [55/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col,
		double []	data
	)

◆ get() [56/58]

int OpenCVForUnity.CoreModule.Mat.get	(	int []	idx,
		double []	data
	)

◆ get() [57/58]

double [] OpenCVForUnity.CoreModule.Mat.get	(	int	row,
		int	col
	)

◆ get() [58/58]

double [] OpenCVForUnity.CoreModule.Mat.get ( int [] idx )

◆ getNativeObjAddr()

IntPtr OpenCVForUnity.CoreModule.Mat.getNativeObjAddr ( )

◆ height()

int OpenCVForUnity.CoreModule.Mat.height ( )

◆ inv() [1/2]

Mat OpenCVForUnity.CoreModule.Mat.inv ( int method )

Inverses a matrix.

The method performs a matrix inversion by means of matrix expressions. This means that a temporary matrix inversion object is returned by the method and can be used further as a part of more complex matrix expressions or can be assigned to a matrix.

Parameters

method

Matrix inversion method. Possible values are the following:

DECOMP_LU is the LU decomposition. The matrix must be non-singular.
DECOMP_CHOLESKY is the Cholesky LL^T decomposition for symmetrical positively defined matrices only. This type is about twice faster than LU on big matrices.
DECOMP_SVD is the SVD decomposition. If the matrix is singular or even non-square, the pseudo inversion is computed.

See also: org.opencv.core.Mat.inv

◆ inv() [2/2]

Mat OpenCVForUnity.CoreModule.Mat.inv ( )

Inverses a matrix.

The method performs a matrix inversion by means of matrix expressions. This means that a temporary matrix inversion object is returned by the method and can be used further as a part of more complex matrix expressions or can be assigned to a matrix.

See also: org.opencv.core.Mat.inv

◆ isContinuous()

bool OpenCVForUnity.CoreModule.Mat.isContinuous ( )

Reports whether the matrix is continuous or not.

The method returns true if the matrix elements are stored continuously without gaps at the end of each row. Otherwise, it returns false. Obviously, 1x1 or 1xN matrices are always continuous. Matrices created with "Mat.create" are always continuous. But if you extract a part of the matrix using "Mat.col", "Mat.diag", and so on, or constructed a matrix header for externally allocated data, such matrices may no longer have this property. The continuity flag is stored as a bit in the Mat.flags field and is computed automatically when you construct a matrix header. Thus, the continuity check is a very fast operation, though theoretically it could be done as follows:

// C++ code:

// alternative implementation of Mat.isContinuous()

bool myCheckMatContinuity(const Mat& m)

//return (m.flags & Mat.CONTINUOUS_FLAG) != 0;

return m.rows == 1 || m.step == m.cols*m.elemSize();

The method is used in quite a few of OpenCV functions. The point is that element-wise operations (such as arithmetic and logical operations, math functions, alpha blending, color space transformations, and others) do not depend on the image geometry. Thus, if all the input and output arrays are continuous, the functions can process them as very long single-row vectors. The example below illustrates how an alpha-blending function can be implemented.

template<typename T>

void alphaBlendRGBA(const Mat& src1, const Mat& src2, Mat& dst)

const float alpha_scale = (float)std.numeric_limits<T>.max(),

inv_scale = 1.f/alpha_scale;

CV_Assert(src1.type() == src2.type() &&

src1.type() == CV_MAKETYPE(DataType<T>.depth, 4) &&

src1.size() == src2.size());

Size size = src1.size();

dst.create(size, src1.type());

// here is the idiom: check the arrays for continuity and,

// if this is the case,

// treat the arrays as 1D vectors

if(src1.isContinuous() && src2.isContinuous() && dst.isContinuous())

size.width *= size.height;

size.height = 1;

size.width *= 4;

for(int i = 0; i < size.height; i++)

// when the arrays are continuous,

// the outer loop is executed only once

const T* ptr1 = src1.ptr<T>(i);

const T* ptr2 = src2.ptr<T>(i);

T* dptr = dst.ptr<T>(i);

for(int j = 0; j < size.width; j += 4)

float alpha = ptr1[j+3]*inv_scale, beta = ptr2[j+3]*inv_scale;

dptr[j] = saturate_cast<T>(ptr1[j]*alpha + ptr2[j]*beta);

dptr[j+1] = saturate_cast<T>(ptr1[j+1]*alpha + ptr2[j+1]*beta);

dptr[j+2] = saturate_cast<T>(ptr1[j+2]*alpha + ptr2[j+2]*beta);

dptr[j+3] = saturate_cast<T>((1 - (1-alpha)*(1-beta))*alpha_scale);

This approach, while being very simple, can boost the performance of a simple element-operation by 10-20 percents, especially if the image is rather small and the operation is quite simple.

Another OpenCV idiom in this function, a call of "Mat.create" for the destination array, that allocates the destination array unless it already has the proper size and type. And while the newly allocated arrays are always continuous, you still need to check the destination array because "Mat.create" does not always allocate a new matrix.

See also: org.opencv.core.Mat.isContinuous

◆ isSubmatrix()

bool OpenCVForUnity.CoreModule.Mat.isSubmatrix ( )

◆ locateROI()

void OpenCVForUnity.CoreModule.Mat.locateROI	(	Size	wholeSize,
		Point	ofs
	)

Locates the matrix header within a parent matrix.

After you extracted a submatrix from a matrix using "Mat.row", "Mat.col", "Mat.rowRange", "Mat.colRange", and others, the resultant submatrix points just to the part of the original big matrix. However, each submatrix contains information (represented by datastart and dataend fields) that helps reconstruct the original matrix size and the position of the extracted submatrix within the original matrix. The method locateROI does exactly that.

Parameters

wholeSize	Output parameter that contains the size of the whole matrix containing `*this` as a part.
ofs	Output parameter that contains an offset of `*this` inside the whole matrix.

See also: org.opencv.core.Mat.locateROI

◆ matMul()

Mat OpenCVForUnity.CoreModule.Mat.matMul ( Mat m )

Matrix multiplication

Parameters

m	operand with with which to perform matrix multiplication

See also: Core::gemm(Mat, Mat, double, Mat, double, Mat, int)

Returns: reference to a new Mat object

◆ mul() [1/2]

Mat OpenCVForUnity.CoreModule.Mat.mul	(	Mat	m,
		double	scale
	)

Element-wise multiplication with scale factor

Parameters

m	operand with with which to perform element-wise multiplication
scale	scale factor

Returns: reference to a new Mat object

◆ mul() [2/2]

Mat OpenCVForUnity.CoreModule.Mat.mul ( Mat m )

Element-wise multiplication

Parameters

m	operand with with which to perform element-wise multiplication

Returns: reference to a new Mat object

◆ ones() [1/3]

static Mat OpenCVForUnity.CoreModule.Mat.ones	(	int	rows,
		int	cols,
		int	type
	)

static

Returns an array of all 1's of the specified size and type.

The method returns a Matlab-style 1's array initializer, similarly to"Mat.zeros". Note that using this method you can initialize an array with an arbitrary value, using the following Matlab idiom:

// C++ code:

Mat A = Mat.ones(100, 100, CV_8U)*3; // make 100x100 matrix filled with 3.

The above operation does not form a 100x100 matrix of 1's and then multiply it by 3. Instead, it just remembers the scale factor (3 in this case) and use it when actually invoking the matrix initializer.

Parameters

rows	Number of rows.
cols	Number of columns.
type	Created matrix type.

See also: org.opencv.core.Mat.ones

◆ ones() [2/3]

static Mat OpenCVForUnity.CoreModule.Mat.ones	(	Size	size,
		int	type
	)

static

Returns an array of all 1's of the specified size and type.

The method returns a Matlab-style 1's array initializer, similarly to"Mat.zeros". Note that using this method you can initialize an array with an arbitrary value, using the following Matlab idiom:

// C++ code:

Mat A = Mat.ones(100, 100, CV_8U)*3; // make 100x100 matrix filled with 3.

The above operation does not form a 100x100 matrix of 1's and then multiply it by 3. Instead, it just remembers the scale factor (3 in this case) and use it when actually invoking the matrix initializer.

Parameters

size	Alternative to the matrix size specification `Size(cols, rows)`.
type	Created matrix type.

See also: org.opencv.core.Mat.ones

◆ ones() [3/3]

static Mat OpenCVForUnity.CoreModule.Mat.ones	(	int []	sizes,
		int	type
	)

static

◆ operator&() [1/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator &	(	Mat	a,
		Mat	b
	)

static

◆ operator&() [2/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator &	(	Mat	a,
		Scalar	s
	)

static

◆ operator&() [3/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator &	(	Scalar	s,
		Mat	a
	)

static

◆ operator*() [1/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator*	(	Mat	a,
		Mat	b
	)

static

◆ operator*() [2/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator*	(	Mat	a,
		double	s
	)

static

◆ operator*() [3/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator*	(	double	s,
		Mat	a
	)

static

◆ operator+() [1/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator+	(	Mat	a,
		Mat	b
	)

static

◆ operator+() [2/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator+	(	Mat	a,
		Scalar	s
	)

static

◆ operator+() [3/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator+	(	Scalar	s,
		Mat	a
	)

static

◆ operator-() [1/4]

static Mat OpenCVForUnity.CoreModule.Mat.operator- ( Mat a )

static

◆ operator-() [2/4]

static Mat OpenCVForUnity.CoreModule.Mat.operator-	(	Mat	a,
		Mat	b
	)

static

◆ operator-() [3/4]

static Mat OpenCVForUnity.CoreModule.Mat.operator-	(	Mat	a,
		Scalar	s
	)

static

◆ operator-() [4/4]

static Mat OpenCVForUnity.CoreModule.Mat.operator-	(	Scalar	s,
		Mat	a
	)

static

◆ operator/() [1/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator/	(	Mat	a,
		Mat	b
	)

static

◆ operator/() [2/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator/	(	double	s,
		Mat	a
	)

static

◆ operator/() [3/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator/	(	Mat	a,
		double	s
	)

static

◆ operator^() [1/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator^	(	Mat	a,
		Mat	b
	)

static

◆ operator^() [2/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator^	(	Mat	a,
		Scalar	s
	)

static

◆ operator^() [3/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator^	(	Scalar	s,
		Mat	a
	)

static

◆ operator|() [1/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator\|	(	Mat	a,
		Mat	b
	)

static

◆ operator|() [2/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator\|	(	Mat	a,
		Scalar	s
	)

static

◆ operator|() [3/3]

static Mat OpenCVForUnity.CoreModule.Mat.operator\|	(	Scalar	s,
		Mat	a
	)

static

◆ operator~()

static Mat OpenCVForUnity.CoreModule.Mat.operator~ ( Mat a )

static

◆ push_back()

void OpenCVForUnity.CoreModule.Mat.push_back ( Mat m )

Adds elements to the bottom of the matrix.

The methods add one or more elements to the bottom of the matrix. They emulate the corresponding method of the STL vector class. When elem is Mat, its type and the number of columns must be the same as in the container matrix.

Parameters

m	Added line(s).

See also: org.opencv.core.Mat.push_back

◆ put() [1/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		double []	data,
		int	length
	)

◆ put() [2/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		double []	data,
		int	length
	)

◆ put() [3/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		float []	data,
		int	length
	)

◆ put() [4/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		float []	data,
		int	length
	)

◆ put() [5/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		int []	data,
		int	length
	)

◆ put() [6/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		int []	data,
		int	length
	)

◆ put() [7/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		short []	data,
		int	length
	)

◆ put() [8/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		short []	data,
		int	length
	)

◆ put() [9/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		ushort []	data
	)

◆ put() [10/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		ushort []	data,
		int	length
	)

◆ put() [11/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		ushort []	data
	)

◆ put() [12/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		ushort []	data,
		int	length
	)

◆ put() [13/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		sbyte []	data
	)

◆ put() [14/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		sbyte []	data,
		int	length
	)

◆ put() [15/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		sbyte []	data
	)

◆ put() [16/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		sbyte []	data,
		int	length
	)

◆ put() [17/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		sbyte []	data,
		int	offset,
		int	length
	)

◆ put() [18/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		sbyte []	data,
		int	offset,
		int	length
	)

◆ put() [19/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		byte []	data,
		int	length
	)

◆ put() [20/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		byte []	data,
		int	length
	)

◆ put() [21/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< double >	data
	)

◆ put() [22/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< double >	data,
		int	length
	)

◆ put() [23/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< double >	data
	)

◆ put() [24/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< double >	data,
		int	length
	)

◆ put() [25/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< float >	data
	)

◆ put() [26/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< float >	data,
		int	length
	)

◆ put() [27/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< float >	data
	)

◆ put() [28/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< float >	data,
		int	length
	)

◆ put() [29/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< int >	data
	)

◆ put() [30/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< int >	data,
		int	length
	)

◆ put() [31/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< int >	data
	)

◆ put() [32/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< int >	data,
		int	length
	)

◆ put() [33/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< short >	data
	)

◆ put() [34/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< short >	data,
		int	length
	)

◆ put() [35/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< short >	data
	)

◆ put() [36/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< short >	data,
		int	length
	)

◆ put() [37/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< ushort >	data
	)

◆ put() [38/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< ushort >	data,
		int	length
	)

◆ put() [39/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< ushort >	data
	)

◆ put() [40/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< ushort >	data,
		int	length
	)

◆ put() [41/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< sbyte >	data
	)

◆ put() [42/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< sbyte >	data,
		int	length
	)

◆ put() [43/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< sbyte >	data
	)

◆ put() [44/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< sbyte >	data,
		int	length
	)

◆ put() [45/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< sbyte >	data,
		int	offset,
		int	length
	)

◆ put() [46/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< sbyte >	data,
		int	offset,
		int	length
	)

◆ put() [47/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< byte >	data
	)

◆ put() [48/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< byte >	data,
		int	length
	)

◆ put() [49/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< byte >	data
	)

◆ put() [50/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< byte >	data,
		int	length
	)

◆ put() [51/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		Span< byte >	data,
		int	offset,
		int	length
	)

◆ put() [52/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		Span< byte >	data,
		int	offset,
		int	length
	)

◆ put() [53/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		params double []	data
	)

◆ put() [54/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		params double []	data
	)

◆ put() [55/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		float []	data
	)

◆ put() [56/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		float []	data
	)

◆ put() [57/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		int []	data
	)

◆ put() [58/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		int []	data
	)

◆ put() [59/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		short []	data
	)

◆ put() [60/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		short []	data
	)

◆ put() [61/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		byte []	data
	)

◆ put() [62/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		byte []	data
	)

◆ put() [63/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int	row,
		int	col,
		byte []	data,
		int	offset,
		int	length
	)

◆ put() [64/64]

int OpenCVForUnity.CoreModule.Mat.put	(	int []	idx,
		byte []	data,
		int	offset,
		int	length
	)

◆ release()

void OpenCVForUnity.CoreModule.Mat.release ( )

Decrements the reference counter and deallocates the matrix if needed.

The method decrements the reference counter associated with the matrix data. When the reference counter reaches 0, the matrix data is deallocated and the data and the reference counter pointers are set to NULL's. If the matrix header points to an external data set (see "Mat.Mat"), the reference counter is NULL, and the method has no effect in this case.

This method can be called manually to force the matrix data deallocation. But since this method is automatically called in the destructor, or by any other method that changes the data pointer, it is usually not needed. The reference counter decrement and check for 0 is an atomic operation on the platforms that support it. Thus, it is safe to operate on the same matrices asynchronously in different threads.

See also: org.opencv.core.Mat.release

◆ reshape() [1/3]

Mat OpenCVForUnity.CoreModule.Mat.reshape	(	int	cn,
		int	rows
	)

Changes the shape and/or the number of channels of a 2D matrix without copying the data.

The method makes a new matrix header for *this elements. The new matrix may have a different size and/or different number of channels. Any combination is possible if:

No extra elements are included into the new matrix and no elements are excluded. Consequently, the product rows*cols*channels() must stay the same after the transformation.
No data is copied. That is, this is an O(1) operation. Consequently, if you change the number of rows, or the operation changes the indices of elements row in some other way, the matrix must be continuous. See "Mat.isContinuous".

For example, if there is a set of 3D points stored as an STL vector, and you want to represent the points as a 3xN matrix, do the following:

// C++ code:

std.vector<Point3f> vec;...

Mat pointMat = Mat(vec). // convert vector to Mat, O(1) operation

reshape(1). // make Nx3 1-channel matrix out of Nx1 3-channel.

// Also, an O(1) operation

t(); // finally, transpose the Nx3 matrix.

// This involves copying all the elements

Parameters


  
    cn New number of channels. If the parameter is 0, the number of channels remains the same. 
    rows New number of rows. If the parameter is 0, the number of rows remains the same.


See also
org.opencv.core.Mat.reshape

◆ reshape() [2/3]

Mat OpenCVForUnity.CoreModule.Mat.reshape ( int cn )

Changes the shape and/or the number of channels of a 2D matrix without copying the data.

The method makes a new matrix header for *this elements. The new matrix may have a different size and/or different number of channels. Any combination is possible if:

No extra elements are included into the new matrix and no elements are excluded. Consequently, the product rows*cols*channels() must stay the same after the transformation.
No data is copied. That is, this is an O(1) operation. Consequently, if you change the number of rows, or the operation changes the indices of elements row in some other way, the matrix must be continuous. See "Mat.isContinuous".

For example, if there is a set of 3D points stored as an STL vector, and you want to represent the points as a 3xN matrix, do the following:

// C++ code:

std.vector<Point3f> vec;...

Mat pointMat = Mat(vec). // convert vector to Mat, O(1) operation

reshape(1). // make Nx3 1-channel matrix out of Nx1 3-channel.

// Also, an O(1) operation

t(); // finally, transpose the Nx3 matrix.

// This involves copying all the elements

Parameters


  
    cn New number of channels. If the parameter is 0, the number of channels remains the same.


See also
org.opencv.core.Mat.reshape

◆ reshape() [3/3]

Mat OpenCVForUnity.CoreModule.Mat.reshape	(	int	cn,
		int []	newshape
	)

◆ row()

Mat OpenCVForUnity.CoreModule.Mat.row ( int y )

Creates a matrix header for the specified matrix row.

The method makes a new header for the specified matrix row and returns it. This is an O(1) operation, regardless of the matrix size. The underlying data of the new matrix is shared with the original matrix. Here is the example of one of the classical basic matrix processing operations, axpy, used by LU and many other algorithms:

// C++ code:

inline void matrix_axpy(Mat& A, int i, int j, double alpha)

A.row(i) += A.row(j)*alpha;

Note:

In the current implementation, the following code does not work as expected:

// C++ code:

Mat A;...

A.row(i) = A.row(j); // will not work

This happens because A.row(i) forms a temporary header that is further assigned to another header. Remember that each of these operations is O(1), that is, no data is copied. Thus, the above assignment is not true if you may have expected the j-th row to be copied to the i-th row. To achieve that, you should either turn this simple assignment into an expression or use the "Mat.copyTo" method:

Mat A;...

// works, but looks a bit obscure.

A.row(i) = A.row(j) + 0;

// this is a bit longer, but the recommended method.

A.row(j).copyTo(A.row(i));

Parameters


  
    y A 0-based row index.


See also
org.opencv.core.Mat.row

◆ rowRange() [1/2]

Mat OpenCVForUnity.CoreModule.Mat.rowRange	(	int	startrow,
		int	endrow
	)

Creates a matrix header for the specified row span.

The method makes a new header for the specified row span of the matrix. Similarly to "Mat.row" and "Mat.col", this is an O(1) operation.

Parameters

startrow	An inclusive 0-based start index of the row span.
endrow	An exclusive 0-based ending index of the row span.

See also: org.opencv.core.Mat.rowRange

◆ rowRange() [2/2]

Mat OpenCVForUnity.CoreModule.Mat.rowRange ( Range r )

Creates a matrix header for the specified row span.

The method makes a new header for the specified row span of the matrix. Similarly to "Mat.row" and "Mat.col", this is an O(1) operation.

Parameters

r	"Range" structure containing both the start and the end indices.

See also: org.opencv.core.Mat.rowRange

◆ rows()

int OpenCVForUnity.CoreModule.Mat.rows ( )

◆ setTo() [1/4]

Mat OpenCVForUnity.CoreModule.Mat.setTo ( Scalar s )

◆ setTo() [2/4]

Mat OpenCVForUnity.CoreModule.Mat.setTo	(	Scalar	value,
		Mat	mask
	)

Sets all or some of the array elements to the specified value.

Parameters

value	Assigned scalar converted to the actual array type.
mask	Operation mask of the same size as `*this`. This is an advanced variant of the `Mat.operator=(const Scalar& s)` operator.

See also: org.opencv.core.Mat.setTo

◆ setTo() [3/4]

Mat OpenCVForUnity.CoreModule.Mat.setTo	(	Mat	value,
		Mat	mask
	)

Sets all or some of the array elements to the specified value.

Parameters

value	Assigned scalar converted to the actual array type.
mask	Operation mask of the same size as `*this`. This is an advanced variant of the `Mat.operator=(const Scalar& s)` operator.

See also: org.opencv.core.Mat.setTo

◆ setTo() [4/4]

Mat OpenCVForUnity.CoreModule.Mat.setTo ( Mat value )

Sets all or some of the array elements to the specified value.

Parameters

value Assigned scalar converted to the actual array type.

See also: org.opencv.core.Mat.setTo

◆ size() [1/2]

Size OpenCVForUnity.CoreModule.Mat.size ( )

Returns a matrix size.

The method returns a matrix size: Size(cols, rows). When the matrix is more than 2-dimensional, the returned size is (-1, -1).

See also: org.opencv.core.Mat.size

◆ size() [2/2]

int OpenCVForUnity.CoreModule.Mat.size ( int i )

◆ step1() [1/2]

long OpenCVForUnity.CoreModule.Mat.step1 ( int i )

Returns a normalized step.

The method returns a matrix step divided by "Mat.elemSize1()". It can be useful to quickly access an arbitrary matrix element.

Parameters

i a i

See also: org.opencv.core.Mat.step1

◆ step1() [2/2]

long OpenCVForUnity.CoreModule.Mat.step1 ( )

Returns a normalized step.

The method returns a matrix step divided by "Mat.elemSize1()". It can be useful to quickly access an arbitrary matrix element.

See also: org.opencv.core.Mat.step1

◆ submat() [1/4]

Mat OpenCVForUnity.CoreModule.Mat.submat	(	int	rowStart,
		int	rowEnd,
		int	colStart,
		int	colEnd
	)

Extracts a rectangular submatrix.

The operators make a new header for the specified sub-array of *this. They are the most generalized forms of "Mat.row", "Mat.col", "Mat.rowRange", and "Mat.colRange". For example, A(Range(0, 10), Range.all()) is equivalent to A.rowRange(0, 10). Similarly to all of the above, the operators are O(1) operations, that is, no matrix data is copied.

Parameters

rowStart	a rowStart
rowEnd	a rowEnd
colStart	a colStart
colEnd	a colEnd

See also: org.opencv.core.Mat.operator()

◆ submat() [2/4]

Mat OpenCVForUnity.CoreModule.Mat.submat	(	Range	rowRange,
		Range	colRange
	)

Extracts a rectangular submatrix.

The operators make a new header for the specified sub-array of *this. They are the most generalized forms of "Mat.row", "Mat.col", "Mat.rowRange", and "Mat.colRange". For example, A(Range(0, 10), Range.all()) is equivalent to A.rowRange(0, 10). Similarly to all of the above, the operators are O(1) operations, that is, no matrix data is copied.

Parameters

rowRange	Start and end row of the extracted submatrix. The upper boundary is not included. To select all the rows, use `Range.all()`.
colRange	Start and end column of the extracted submatrix. The upper boundary is not included. To select all the columns, use `Range.all()`.

See also: org.opencv.core.Mat.operator()

◆ submat() [3/4]

Mat OpenCVForUnity.CoreModule.Mat.submat ( Range [] ranges )

◆ submat() [4/4]

Mat OpenCVForUnity.CoreModule.Mat.submat ( Rect roi )

Extracts a rectangular submatrix.

The operators make a new header for the specified sub-array of *this. They are the most generalized forms of "Mat.row", "Mat.col", "Mat.rowRange", and "Mat.colRange". For example, A(Range(0, 10), Range.all()) is equivalent to A.rowRange(0, 10). Similarly to all of the above, the operators are O(1) operations, that is, no matrix data is copied.

Parameters

roi	Extracted submatrix specified as a rectangle.

See also: org.opencv.core.Mat.operator()

◆ t()

Mat OpenCVForUnity.CoreModule.Mat.t ( )

Transposes a matrix.

The method performs matrix transposition by means of matrix expressions. It does not perform the actual transposition but returns a temporary matrix transposition object that can be further used as a part of more complex matrix expressions or can be assigned to a matrix:

// C++ code:

Mat A1 = A + Mat.eye(A.size(), A.type)*lambda;

Mat C = A1.t()*A1; // compute (A + lambda*I)^t * (A + lamda*I)

See also: org.opencv.core.Mat.t

◆ ToString()

override string OpenCVForUnity.CoreModule.Mat.ToString ( )

◆ total()

long OpenCVForUnity.CoreModule.Mat.total ( )

Returns the total number of array elements.

The method returns the number of array elements (a number of pixels if the array represents an image).

See also: org.opencv.core.Mat.total

◆ type()

int OpenCVForUnity.CoreModule.Mat.type ( )

Returns the type of a matrix element.

The method returns a matrix element type. This is an identifier compatible with the CvMat type system, like CV_16SC3 or 16-bit signed 3-channel array, and so on.

See also: org.opencv.core.Mat.type

◆ width()

int OpenCVForUnity.CoreModule.Mat.width ( )

◆ zeros() [1/3]

static Mat OpenCVForUnity.CoreModule.Mat.zeros	(	int	rows,
		int	cols,
		int	type
	)

static

Returns a zero array of the specified size and type.

The method returns a Matlab-style zero array initializer. It can be used to quickly form a constant array as a function parameter, part of a matrix expression, or as a matrix initializer.

// C++ code:

Mat A;

A = Mat.zeros(3, 3, CV_32F);

In the example above, a new matrix is allocated only if A is not a 3x3 floating-point matrix. Otherwise, the existing matrix A is filled with zeros.

Parameters

rows	Number of rows.
cols	Number of columns.
type	Created matrix type.

See also: org.opencv.core.Mat.zeros

◆ zeros() [2/3]

static Mat OpenCVForUnity.CoreModule.Mat.zeros	(	Size	size,
		int	type
	)

static

Returns a zero array of the specified size and type.

The method returns a Matlab-style zero array initializer. It can be used to quickly form a constant array as a function parameter, part of a matrix expression, or as a matrix initializer.

// C++ code:

Mat A;

A = Mat.zeros(3, 3, CV_32F);

In the example above, a new matrix is allocated only if A is not a 3x3 floating-point matrix. Otherwise, the existing matrix A is filled with zeros.

Parameters

size	Alternative to the matrix size specification `Size(cols, rows)`.
type	Created matrix type.

See also: org.opencv.core.Mat.zeros

◆ zeros() [3/3]

static Mat OpenCVForUnity.CoreModule.Mat.zeros	(	int []	sizes,
		int	type
	)

static

Member Data Documentation

◆ AUTO_STEP

const int OpenCVForUnity.CoreModule.Mat.AUTO_STEP = 0

The documentation for this class was generated from the following files:

OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/core/Mat.cs
OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/core/Mat_Ex.cs

size	Alternative matrix size specification as `Size(cols, rows)`.
type	Created matrix type.

cn	New number of channels. If the parameter is 0, the number of channels remains the same.
rows	New number of rows. If the parameter is 0, the number of rows remains the same.

Public Member Functions

Static Public Member Functions

Public Attributes

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ Mat() [1/14]

◆ Mat() [2/14]

◆ Mat() [3/14]

◆ Mat() [4/14]

◆ Mat() [5/14]

◆ Mat() [6/14]

◆ Mat() [7/14]

◆ Mat() [8/14]

◆ Mat() [9/14]

◆ Mat() [10/14]

◆ Mat() [11/14]

◆ Mat() [12/14]

◆ Mat() [13/14]

◆ Mat() [14/14]

Member Function Documentation

◆ adjustROI()

◆ assignTo() [1/2]

◆ assignTo() [2/2]

◆ AsSpan< T >()

◆ channels()

◆ checkVector() [1/3]

◆ checkVector() [2/3]

◆ checkVector() [3/3]

◆ clone()

◆ col()

◆ colRange() [1/2]

◆ colRange() [2/2]

◆ cols()

◆ convertTo() [1/3]

◆ convertTo() [2/3]

◆ convertTo() [3/3]

◆ copySize()

◆ copyTo() [1/2]

◆ copyTo() [2/2]

◆ create() [1/3]

◆ create() [2/3]

◆ create() [3/3]

◆ cross()

◆ dataAddr()

◆ depth()

◆ diag() [1/3]

◆ diag() [2/3]

◆ diag() [3/3]

◆ dims()

◆ Dispose()

◆ dot()

◆ dump()

◆ elemSize()

◆ elemSize1()

◆ empty()

◆ eye() [1/2]

◆ eye() [2/2]

◆ get() [1/58]

◆ get() [2/58]

◆ get() [3/58]

◆ get() [4/58]

◆ get() [5/58]

◆ get() [6/58]

◆ get() [7/58]

◆ get() [8/58]

◆ get() [9/58]

◆ get() [10/58]

◆ get() [11/58]

◆ get() [12/58]

◆ get() [13/58]

◆ get() [14/58]

◆ get() [15/58]

◆ get() [16/58]

◆ get() [17/58]

◆ get() [18/58]

◆ get() [19/58]

◆ get() [20/58]

◆ get() [21/58]