CPP VECTOR 2D UPDATE

This time I've varied the pixel intensity so it appears as a gradient from black at the top to white at the bottom. Std::string greyImgFromVecWindow = 'Grey Image From Vec' Ĭv::imshow(greyImgFromVecWindow, greyImgFromVec) omitting the previous examples for brevityĬv::Mat greyImgFromVec(11, 6, CV_8U, vec.data()) The major difference being you must call the data() method of the vector class like so. Pixel data residing in the standard C++ vector can also be used to construct an OpenCV Mat object in a manner very similar to what is shown above in the array example. This time is it evident from the output that the data referenced in the Mat object is distinct from the original source array.Ĭonstructing an OpenCV Mat Object from C++ Vector Std::string copyedArrImg = 'Grey Copied Image' Ĭv::imshow(copyedArrImg, greyImgForArrCopy)

CPP VECTOR 2D UPDATE

update every element of greyArr to be black (ie, 0) Std::memcpy(greyImgForArrCopy.data, greyArr, 11 * 11 * sizeof(uint8_t)) omitting previously show examples for brevityĬv::Mat greyImgForArrCopy = cv::Mat(11, 11, CV_8U) I then use the HighGUI library to display the Mat object populated with a gradient of intensities of grey pixels within a named window. In this example I specify the dimensions, in rows and columns, of the Mat object being constructed as well as the data type of CV_8U indicating a single channel 8 bit unsigned integer, also defined as a uchar in OpenCV. Constructing an OpenCV Mat Object from C++ Arrayīelow is an example of creating a Mat object from a standard C++ two dimensional (ie, nested) array of unsigned 8 bit integers representing grey scale color intensities from black (0) to white (255).

Cpp vector 2d