Image rendering method, device, computer equipment and readable storage medium

Abstract

This application discloses an image rendering method, device, computer equipment, and readable storage medium, and relates to the technical field of image processing. The rendering command instruction set obtained by recording, as well as the target scene rendering channel data and target scene frame buffer data obtained by preset Send to the graphics processor; the graphics processor obtains the target scene rendering data by sequentially calling a plurality of rendering commands in the rendering command instruction set according to the target scene rendering channel data and the target scene frame buffer data; Render data is sent to memory or video memory. The present application can effectively reduce the interactive workload between the CPU and the GPU, thereby effectively reducing rendering power consumption.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image rendering method, device, computer equipment and readable storage medium. Background technique [0002] There are two schemes for designing the multi-sampling anti-aliasing rendering process on the existing mainstream mobile devices using the Android platform. The existing technical solution one is to use OpenGLES to implement the rendering process on the Android platform, by calling the functions provided by OpenGLES Interface to realize the rendering of 3D scenes. Among them, if you want to add multi-sampling anti-aliasing in the rendering process, you need to use the extended function glFramebufferTexture2DMultisampleEXT or glFramebufferTexture2DMultisampleIMG of OpenGLES to realize; the existing technical scheme two, on the Android platform, use Vulkan to realize the rendering of the scene, and use multi-sampling The rendering of anti-aliasing inc...

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Problems solved by technology

[0004] In view of this, the present application provides image rendering method, device, computer equipment and readable storage medium, the main purpose is to solve the rendering performance and caching ability of existing scene rendering using OpenGLES is weak, especially in multi-sampling anti-aliasing technology It is difficult to implement, and the existing CPU and GPU that use Vulkan for scene rendering have many interactions, and the technical problems of high rendering power consumption

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