#includeIn this example, we first load an image using the `imread` function from the OpenCV library. We then create a `GpuMat` object called `gpuMat` and upload our image to it using the `upload` function. We then create another `GpuMat` object `gpuMatGray` which will hold the grayscale version of our image. We use the `cvtColor` function to convert our `gpuMat` object to grayscale and store the result in `gpuMatGray`. Finally, we download our grayscale image to a `Mat` object called `imgGray` using the `download` function and write it to disk using `imwrite`. This example demonstrates how the use of `GpuMat` can speed up image processing tasks by performing operations in parallel on the GPU. The `GpuMat` type is part of the CUDA module in the OpenCV library.#include int main() { cv::Mat img = cv::imread("example.jpg"); cv::cuda::GpuMat gpuMat; gpuMat.upload(img); cv::cuda::GpuMat gpuMatGray; cv::cuda::cvtColor(gpuMat, gpuMatGray, cv::COLOR_BGR2GRAY); cv::Mat imgGray; gpuMatGray.download(imgGray); cv::imwrite("gray_example.jpg", imgGray); }