While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...
This article describes and links to the Noise code sample. The sample includes an implementation of Perlin noise, which is useful for generating natural-looking textures, such as marble and clouds, for 3D graphics. It also includes a set of pseudo-random number generator functions that are sufficient to make a generated image visually appear random.
This article shows you how you can use LibRealSense and OpenCV to stream RGB and depth data. In the end you will have a nice starting point where you use this code base to build upon to create your own LibRealSense / OpenCV applications.
了解面向 OpenCL™ 应用的英特尔® SDK 2019 的核心概念并开始构建您的首个应用。