Game resource optimization method

Abstract

The technical scheme of the invention comprises a game resource optimization method. The method comprises the steps that multiple virtual cameras are set in a game scene, and game resource information within a view frustum range of the virtual cameras is further acquired; an interactive interface is used to display the game resource information acquired in the last step; and an editor is used to execute corresponding processing on the game resource information according to influences of the game resource information on game performance. The method has the advantages that by enumerating resources within the visible range of the cameras and listing detailed data of each resource within the visible range according to certain rules, a game developer can know pressure of rendering according to the detailed data, whether a certain resource participates in a rendering process can be decided through a display panel, therefore, the influence of a single resource on rendering performance can be precisely judged, and the problem that a visual quantitative method is not available for resource optimization in a game optimization process is effectively solved.

Description

technical field [0001] The invention relates to a method for optimizing game resources, belonging to the field of computers. Background technique [0002] In the optimization of the game scene, the performance bottleneck position of the scene is checked. The existing method mainly guesses the performance problem by manually checking each model, which is time-consuming, labor-intensive and imprecise. [0003] Frustum: Refers to the range of a cone visible to the camera in the scene. It consists of 6 faces, up, down, left, right, near and far. The scene in the viewing frustum is visible, otherwise it is invisible, which can be simply understood as the visible range of the camera. SUMMARY OF THE INVENTION [0004] In view of the deficiencies of the prior art, the technical solution of the present invention provides a method for optimizing game resources. By automatically acquiring model information in the camera view frustum, quantifiable data is generated for performance e...

AI Technical Summary

Problems solved by technology

[0002] In the optimization of the game scene, the existing method is mainly to check the performance bottleneck position of the scene by manually checking each model to guess the performance problem, which is time-consuming, laborious and not accurate enough.

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