Opencv Mat Data Structure

A header and a data block.

Opencv mat data structure. The method uses the following algorithm. Unsigned s signed and f floating point. Class with reference counting wrapping special memory type allocation functions from cuda. The matrix header containing.

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. The mostly used basic structure in opencv c is mat. This is the one you ll see in most of the older tutorials and educational materials. The header contains all the information associated with the matrix size number of channels data type and so on.

Mat m page locks the memory of matrix and maps it for the device s. The cv mat data structure is essentially made up of two parts. Mat like a smart pointer. Opencv has been around since 2001.

Mat is basically a class with two data parts. Alloc page locked sets a page locked memory type used commonly for fast and asynchronous uploading downloading data from to gpu. Most new style opencv functions and methods that produce arrays call this method for each output array. And the first thing to remember about mat is to treat it like a smart pointer like shared ptr with the addition of some meta data like cols rows etc instead of an ordinary struct or container like std vector.

So the data layout in mat is fully compatible with cvmat iplimage and cvmatnd types from opencv 1 x. If the current array shape and the type match the new ones return immediately. Its interface is also mat like but with additional memory type parameters. Cuda accelerated computer vision core part.

Otherwise de reference the previous data by calling mat release. Alloc zerocopy specifies a zero copy memory allocation that. Hence when using operator to pass mat like. In those days the library was built around a c interface and to store the image in the memory they used a c structure called iplimage.

This is one of the key mat methods. For example cv 32fc2 is a 32 bit floating point and 2 channels structure. And the definition of basic one channel types are.