OpenCV for Unity
2.3.2
Enox Software / Please refer to OpenCV official document(http://docs.opencv.org/3.4.1/index.html) for the details of the argument of the method.

Public Member Functions  
Mat (IntPtr addr)  
Mat ()  
Mat (int rows, int cols, int type)  
Mat (Size size, int type)  
Mat (int rows, int cols, int type, Scalar s)  
Mat (Size size, int type, Scalar s)  
Mat (Mat m, Range rowRange, Range colRange)  
Mat (Mat m, Range rowRange)  
Mat (Mat m, Rect roi)  
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) 
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) 
void  push_back (Mat m) 
void  release () 
Mat  reshape (int cn, int rows) 
Mat  reshape (int cn) 
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 () 
long  step1 (int i) 
long  step1 () 
Mat  submat (int rowStart, int rowEnd, int colStart, int colEnd) 
Mat  submat (Range rowRange, Range colRange) 
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 row, int col, float[] data) 
int  put (int row, int col, int[] data) 
int  put (int row, int col, short[] data) 
int  put (int row, int col, byte[] data) 
int  put (int row, int col, byte[] data, int offset, int length) 
int  get (int row, int col, byte[] data) 
int  get (int row, int col, short[] data) 
int  get (int row, int col, int[] data) 
int  get (int row, int col, float[] data) 
int  get (int row, int col, double[] data) 
double[]  get (int row, int col) 
int  height () 
int  width () 
IntPtr  getNativeObjAddr () 
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  zeros (int rows, int cols, int type) 
static Mat  zeros (Size size, 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) 
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] 
OpenCV C++ ndimensional dense array class
class CV_EXPORTS Mat
// C++ code:
public:
//... a lot of methods......
/ *! includes several bitfields:
 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 userallocated data, the pointer is NULL
int* refcount;
// other members...
};
The class
Mat
represents an ndimensional dense numerical singlechannel or multichannel array. It can be used to store real or complexvalued vectors and matrices, grayscale or color images, voxel volumes, vector fields, point clouds, tensors, histograms (though, very highdimensional 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.dims1)), where 0 <= i_k<M.size[k], is computed as:
addr(M_(i_0,...,i_(M.dims1))) = M.data + M.step[0]*i_0 + M.step[1]*i_1 +... + M.step[M.dims1]*i_(M.dims1)
In case of a 2dimensional 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 2dimensional matrices are stored rowbyrow, 3dimensional matrices are stored planebyplane, and so on. M.step[M.dims1]
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 userallocated data and process it inplace using OpenCV functions.
There are many different ways to create a Mat
object. The most popular options are listed below:
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 8bit singlechannel array, CV_32FC2
means a 2channel (complex) floatingpoint 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 15channel 8bit 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.
// C++ code:
// create a 100x100x100 8bit 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 2dimensional with the number of columns set to 1. So, Mat.dims
is always >= 2 (can also be 0 when the array is empty).
Mat.clone()
method can be used to get a full (deep) copy of the array when you need it. // C++ code:
// add the 5th row, multiplied by 3 to the 3rd row
M.row(3) = M.row(3) + M.row(5)*3;
// now copy the 7th column to the 1st 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 subarray 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());
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 submatrices.
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);
// 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 userallocated 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);
// C++ code:
// create a doubleprecision identity martix and add it to M.
M += Mat.eye(M.rows, M.cols, CV_64F);
// C++ code:
// create a 3x3 doubleprecision 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 commaseparated 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 referencecounting mechanism. If the array header is built on top of userallocated 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 2dimensional array as:
// C++ code:
M.at<double>(i,j) += 1.f;
assuming that M is a doubleprecision floatingpoint 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 doubleprecision 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 elementwise. 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 STLstyle iterators that are smart enough to skip gaps between successive rows:
// C++ code:
// compute sum of positive matrix elements, iteratorbased 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 randomaccess iterators, so they can be passed to any STL algorithm, including
std.sort()
.
Note:
OpenCVForUnity.Mat.Mat  (  IntPtr  addr  ) 
OpenCVForUnity.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 dereferenced.
OpenCVForUnity.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 dereferenced.
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 14 channel matrices, or CV_8UC(n),..., CV_64FC(n) to create multichannel (up to CV_CN_MAX channels) matrices. 
OpenCVForUnity.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 dereferenced.
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 14 channel matrices, or CV_8UC(n),..., CV_64FC(n) to create multichannel (up to CV_CN_MAX channels) matrices. 
OpenCVForUnity.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 dereferenced.
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 14 channel matrices, or CV_8UC(n),..., CV_64FC(n) to create multichannel (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) . 
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 dereferenced.
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 14 channel matrices, or CV_8UC(n),..., CV_64FC(n) to create multichannel (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) . 
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 dereferenced.
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 subarray 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 subarray, 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. 
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 dereferenced.
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 subarray 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 subarray, 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. 
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 dereferenced.
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 subarray 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 subarray, use Mat.clone() . 
roi  Region of interest. 
Mat OpenCVForUnity.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.
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. 
void OpenCVForUnity.Mat.assignTo  (  Mat  m, 
int  type  
) 
Provides a functional form of convertTo
.
This is an internally used method called by the "MatrixExpressions" engine.
m  Destination array. 
type  Desired destination array depth (or 1 if it should be the same as the source type). 
void OpenCVForUnity.Mat.assignTo  (  Mat  m  ) 
Provides a functional form of convertTo
.
This is an internally used method called by the "MatrixExpressions" engine.
m  Destination array. 
int OpenCVForUnity.Mat.channels  (  ) 
Returns the number of matrix channels.
The method returns the number of matrix channels.
int OpenCVForUnity.Mat.checkVector  (  int  elemChannels, 
int  depth,  
bool  requireContinuous  
) 
int OpenCVForUnity.Mat.checkVector  (  int  elemChannels, 
int  depth  
) 
int OpenCVForUnity.Mat.checkVector  (  int  elemChannels  ) 
Mat OpenCVForUnity.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.
Mat OpenCVForUnity.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.
x  A 0based column index. 
Mat OpenCVForUnity.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.
startcol  An inclusive 0based start index of the column span. 
endcol  An exclusive 0based ending index of the column span. 
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.
r  "Range" structure containing both the start and the end indices. 
int OpenCVForUnity.Mat.cols  (  ) 
void OpenCVForUnity.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<rType>(alpha(*this)(x,y) + beta)
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. 
void OpenCVForUnity.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<rType>(alpha(*this)(x,y) + beta)
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. 
void OpenCVForUnity.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<rType>(alpha(*this)(x,y) + beta)
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. 
void OpenCVForUnity.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.
m  Destination matrix. If it does not have a proper size or type before the operation, it is reallocated. 
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.
m  Destination matrix. If it does not have a proper size or type before the operation, it is reallocated. 
mask  Operation mask. Its nonzero elements indicate which matrix elements need to be copied. 
void OpenCVForUnity.Mat.create  (  int  rows, 
int  cols,  
int  type  
) 
Allocates new array data if needed.
This is one of the key Mat
methods. Most newstyle OpenCV functions and methods that produce arrays call this method for each output array. The method uses the following algorithm:
total()*elemSize()
bytes. 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.
rows  New number of rows. 
cols  New number of columns. 
type  New matrix type. 
void OpenCVForUnity.Mat.create  (  Size  size, 
int  type  
) 
Allocates new array data if needed.
This is one of the key Mat
methods. Most newstyle OpenCV functions and methods that produce arrays call this method for each output array. The method uses the following algorithm:
total()*elemSize()
bytes. 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.
size  Alternative new matrix size specification: Size(cols, rows) 
type  New matrix type. 
Computes a crossproduct of two 3element vectors.
The method computes a crossproduct of two 3element vectors. The vectors must be 3element floatingpoint vectors of the same shape and size. The result is another 3element vector of the same shape and type as operands.
m  Another crossproduct operand. 
long OpenCVForUnity.Mat.dataAddr  (  ) 
int OpenCVForUnity.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 16bit signed element array, the method returns CV_16S
. A complete list of matrix types contains the following values:
CV_8U
 8bit unsigned integers (0..255
) CV_8S
 8bit signed integers (128..127
) CV_16U
 16bit unsigned integers (0..65535
) CV_16S
 16bit signed integers (32768..32767
) CV_32S
 32bit signed integers (2147483648..2147483647
) CV_32F
 32bit floatingpoint numbers (FLT_MAX..FLT_MAX, INF, NAN
) CV_64F
 64bit floatingpoint numbers (DBL_MAX..DBL_MAX, INF, NAN
) Mat OpenCVForUnity.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 singlecolumn matrix. Similarly to "Mat.row" and "Mat.col", this is an O(1) operation.
d  Singlecolumn matrix that forms a diagonal matrix or index of the diagonal, with the following values:

Mat OpenCVForUnity.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 singlecolumn matrix. Similarly to "Mat.row" and "Mat.col", this is an O(1) operation.
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 singlecolumn matrix. Similarly to "Mat.row" and "Mat.col", this is an O(1) operation.
d  Singlecolumn matrix that forms a diagonal matrix or index of the diagonal, with the following values:

int OpenCVForUnity.Mat.dims  (  ) 

protectedvirtual 
Reimplemented from OpenCVForUnity.DisposableObject.
double OpenCVForUnity.Mat.dot  (  Mat  m  ) 
Computes a dotproduct of two vectors.
The method computes a dotproduct of two matrices. If the matrices are not singlecolumn or singlerow vectors, the toptobottom lefttoright 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.
m  another dotproduct operand. 
string OpenCVForUnity.Mat.dump  (  ) 
long OpenCVForUnity.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.
long OpenCVForUnity.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.
bool OpenCVForUnity.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
.

static 
Returns an identity matrix of the specified size and type.
The method returns a Matlabstyle 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
Returns an identity matrix of the specified size and type.
The method returns a Matlabstyle 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
int OpenCVForUnity.Mat.get  (  int  row, 
int  col,  
byte[]  data  
) 
int OpenCVForUnity.Mat.get  (  int  row, 
int  col,  
short[]  data  
) 
int OpenCVForUnity.Mat.get  (  int  row, 
int  col,  
int[]  data  
) 
int OpenCVForUnity.Mat.get  (  int  row, 
int  col,  
float[]  data  
) 
int OpenCVForUnity.Mat.get  (  int  row, 
int  col,  
double[]  data  
) 
double [] OpenCVForUnity.Mat.get  (  int  row, 
int  col  
) 
IntPtr OpenCVForUnity.Mat.getNativeObjAddr  (  ) 
int OpenCVForUnity.Mat.height  (  ) 
Mat OpenCVForUnity.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.
method  Matrix inversion method. Possible values are the following:

Mat OpenCVForUnity.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.
bool OpenCVForUnity.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 elementwise 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 singlerow vectors. The example below illustrates how an alphablending 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  (1alpha)*(1beta))*alpha_scale);
This approach, while being very simple, can boost the performance of a simple elementoperation by 1020 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.
bool OpenCVForUnity.Mat.isSubmatrix  (  ) 
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.
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. 
Performs an elementwise multiplication or division of the two matrices.
The method returns a temporary object encoding perelement array multiplication, with optional scale. Note that this is not a matrix multiplication that corresponds to a simpler "*" operator. Example:
// C++ code:
Mat C = A.mul(5/B); // equivalent to divide(A, B, C, 5)
Parameters
m Another array of the same type and the same size as *this
, or a matrix expression.
scale Optional scale factor.
 See also
 org.opencv.core.Mat.mul
Performs an elementwise multiplication or division of the two matrices.
The method returns a temporary object encoding perelement array multiplication, with optional scale. Note that this is not a matrix multiplication that corresponds to a simpler "*" operator. Example:
// C++ code:
Mat C = A.mul(5/B); // equivalent to divide(A, B, C, 5)
Parameters
m Another array of the same type and the same size as *this
, or a matrix expression.
 See also
 org.opencv.core.Mat.mul

static 
Returns an array of all 1's of the specified size and type.
The method returns a Matlabstyle 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.
rows  Number of rows. 
cols  Number of columns. 
type  Created matrix type. 
Returns an array of all 1's of the specified size and type.
The method returns a Matlabstyle 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.
size  Alternative to the matrix size specification Size(cols, rows) . 
type  Created matrix type. 
void OpenCVForUnity.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.
m  Added line(s). 
int OpenCVForUnity.Mat.put  (  int  row, 
int  col,  
params double[]  data  
) 
int OpenCVForUnity.Mat.put  (  int  row, 
int  col,  
float[]  data  
) 
int OpenCVForUnity.Mat.put  (  int  row, 
int  col,  
int[]  data  
) 
int OpenCVForUnity.Mat.put  (  int  row, 
int  col,  
short[]  data  
) 
int OpenCVForUnity.Mat.put  (  int  row, 
int  col,  
byte[]  data  
) 
int OpenCVForUnity.Mat.put  (  int  row, 
int  col,  
byte[]  data,  
int  offset,  
int  length  
) 
void OpenCVForUnity.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.
Mat OpenCVForUnity.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:
rows*cols*channels()
must stay the same after the transformation. 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 1channel matrix out of Nx1 3channel.
// 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
Mat OpenCVForUnity.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:
rows*cols*channels()
must stay the same after the transformation. 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 1channel matrix out of Nx1 3channel.
// 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
Mat OpenCVForUnity.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 jth row to be copied to the ith 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 0based row index.
 See also
 org.opencv.core.Mat.row
Mat OpenCVForUnity.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.
startrow  An inclusive 0based start index of the row span. 
endrow  An exclusive 0based ending index of the row span. 
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.
r  "Range" structure containing both the start and the end indices. 
int OpenCVForUnity.Mat.rows  (  ) 
Sets all or some of the array elements to the specified value.
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. 
Sets all or some of the array elements to the specified value.
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. 
Sets all or some of the array elements to the specified value.
value  Assigned scalar converted to the actual array type. 
Size OpenCVForUnity.Mat.size  (  ) 
Returns a matrix size.
The method returns a matrix size: Size(cols, rows)
. When the matrix is more than 2dimensional, the returned size is (1, 1).
long OpenCVForUnity.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.
i  a i 
long OpenCVForUnity.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.
Mat OpenCVForUnity.Mat.submat  (  int  rowStart, 
int  rowEnd,  
int  colStart,  
int  colEnd  
) 
Extracts a rectangular submatrix.
The operators make a new header for the specified subarray 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.
rowStart  a rowStart 
rowEnd  a rowEnd 
colStart  a colStart 
colEnd  a colEnd 
Extracts a rectangular submatrix.
The operators make a new header for the specified subarray 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.
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() . 
Extracts a rectangular submatrix.
The operators make a new header for the specified subarray 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.
roi  Extracted submatrix specified as a rectangle. 
Mat OpenCVForUnity.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
override string OpenCVForUnity.Mat.ToString  (  ) 
long OpenCVForUnity.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).
int OpenCVForUnity.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 16bit signed 3channel array, and so on.
int OpenCVForUnity.Mat.width  (  ) 

static 
Returns a zero array of the specified size and type.
The method returns a Matlabstyle 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 floatingpoint matrix. Otherwise, the existing matrix A
is filled with zeros.
rows  Number of rows. 
cols  Number of columns. 
type  Created matrix type. 
Returns a zero array of the specified size and type.
The method returns a Matlabstyle 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 floatingpoint matrix. Otherwise, the existing matrix A
is filled with zeros.
size  Alternative to the matrix size specification Size(cols, rows) . 
type  Created matrix type. 