Method FromPixelData

constructor for matrix headers pointing to user-allocated data

public static Mat FromPixelData(int rows, int cols, MatType type, nint data, long step = 0)

rows int: Number of rows in a 2D array.
cols int: Number of columns in a 2D array.
type MatType: Array type. Use MatType.CV_8UC1, ..., CV_64FC4 to create 1-4 channel matrices, or MatType. CV_8UC(n), ..., CV_64FC(n) to create multi-channel matrices.
data nint: Pointer to the user data. Matrix constructors that take data and step parameters do not allocate matrix data. Instead, they just initialize the matrix header that points to the specified data, which means that no data is copied. This operation is very efficient and can be used to process external data using OpenCV functions. The external data is not automatically de-allocated, so you should take care of it.
step long: Number of bytes each matrix row occupies. The value should include the padding bytes at the end of each row, if any. If the parameter is missing (set to AUTO_STEP ), no padding is assumed and the actual step is calculated as cols*elemSize() .

Constructor for matrix headers pointing to user-allocated data.

public static Mat FromPixelData(int rows, int cols, MatType type, Array data, long step = 0)

rows int: Number of rows in a 2D array.
cols int: Number of columns in a 2D array.
type MatType: Array type. Use MatType.CV_8UC1, ..., CV_64FC4 to create 1-4 channel matrices, or MatType. CV_8UC(n), ..., CV_64FC(n) to create multi-channel matrices.
data Array: Pointer to the user data. Matrix constructors that take data and step parameters do not allocate matrix data. Instead, they just initialize the matrix header that points to the specified data, which means that no data is copied. This operation is very efficient and can be used to process external data using OpenCV functions. The external data is not automatically de-allocated, so you should take care of it.
step long: Number of bytes each matrix row occupies. The value should include the padding bytes at the end of each row, if any. If the parameter is missing (set to AUTO_STEP ), no padding is assumed and the actual step is calculated as cols*elemSize() .

constructor for matrix headers pointing to user-allocated data

public static Mat FromPixelData(IEnumerable<int> sizes, MatType type, nint data, IEnumerable<long>? steps = null)

sizes IEnumerable<int>: Array of integers specifying an n-dimensional array shape.
type MatType: Array type. Use MatType.CV_8UC1, ..., CV_64FC4 to create 1-4 channel matrices, or MatType. CV_8UC(n), ..., CV_64FC(n) to create multi-channel matrices.
data nint: Pointer to the user data. Matrix constructors that take data and step parameters do not allocate matrix data. Instead, they just initialize the matrix header that points to the specified data, which means that no data is copied. This operation is very efficient and can be used to process external data using OpenCV functions. The external data is not automatically de-allocated, so you should take care of it.
steps IEnumerable<long>: Array of ndims-1 steps in case of a multi-dimensional array (the last step is always set to the element size). If not specified, the matrix is assumed to be continuous.

constructor for matrix headers pointing to user-allocated data

public static Mat FromPixelData(IEnumerable<int> sizes, MatType type, Array data, IEnumerable<long>? steps = null)

sizes IEnumerable<int>: Array of integers specifying an n-dimensional array shape.
type MatType: Array type. Use MatType.CV_8UC1, ..., CV_64FC4 to create 1-4 channel matrices, or MatType. CV_8UC(n), ..., CV_64FC(n) to create multi-channel matrices.
data Array: Pointer to the user data. Matrix constructors that take data and step parameters do not allocate matrix data. Instead, they just initialize the matrix header that points to the specified data, which means that no data is copied. This operation is very efficient and can be used to process external data using OpenCV functions. The external data is not automatically de-allocated, so you should take care of it.
steps IEnumerable<long>: Array of ndims-1 steps in case of a multi-dimensional array (the last step is always set to the element size). If not specified, the matrix is assumed to be continuous.