Game map generation method, game test method and related device

Abstract

The invention discloses a game map generation method, a game test method and a game test device based on an artificial intelligence technology. The method comprises the steps of obtaining a game sample image and first action information corresponding to the game sample image from a recorded game sample, generating a first mask image according to a first local radar map included in the game sampleimage, obtaining a first local map from a first local radar map according to the first mask image, determining a first map area from the spliced game map according to the first action information, matching the first local map with the first map area, updating the spliced game map according to a matching result, and if the updating frequency of the spliced game map reaches T times, generating a global game map according to the spliced game map updated for the Tth time. According to the method, a complete game map can be provided for a large number of games, so that the accurate position of theAI role in the complete map is conveniently determined, and the limitation of game testing is effectively reduced.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to a method for generating a game map, a method for game testing and related devices. Background technique [0002] In recent years, artificial intelligence (AI) technology has been more and more widely used in game testing. In order to improve the efficiency of game testing, an AI character for simulating a real player can be designed. During game testing, it is usually necessary to obtain the position information of the AI ​​character in the complete map. According to the position information, the movement path of the AI ​​character can be set, and the route passed by the AI ​​character can also be recorded, so as to explore more game scenes. [0003] At present, a game testing method based on manually set routes is provided. First, it is necessary to mark the key points of the route on the complete map, then identify the current location of the AI ​​character, and...

AI Technical Summary

Problems solved by technology

[0004] The premise of realizing the above game testing method is to obtain a complete game map. However, many games currently on the market do not have a complete game map. For example, some gunfight games only have partial radar maps, which means that it is impossible to test The accurate position of the AI ​​character in the complete map is obtained, which leads to greater limitations in game testing

Images