基于yolov5识别算法实现的DNF自动脚本
【作品名称】：基于yolov5识别算法实现的DNF自动脚本
【适用人群】：适用于希望学习不同技术领域的小白或进阶学习者。可作为毕设项目、课程设计、大作业、工程实训或初期项目立项。
【项目介绍】：准备工作:数据集的收集与权重文件测试
录制一段整体流程视频，
标注数据集，为后续区分: 1.人物 2. 怪物 3. 材料 4. 小地图boss房间 5. 小地图人物房间
训练权重文件
视频检测权重文件的识别效果
游戏循环主逻辑:
屏幕抓取后实时图像识别
怪物识别，和怪物距离n像素，自动释放技能
配合小地图与当前图内人物，寻路去往下一个房间，进入下一个地图(自动寻路)
一直到boss房间，出现再次挑战，循环
小地图寻路
固定地图寻路:幽暗密林: → → → ↑ →
不固定最快boss寻路(直通:深度优先)
英雄房间与boss房间比较 x距离 y距离决定去往哪
最慢boss寻路(全图:广度优先)
文件下载
资源详情
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明