https://github.com/apachecn-archive/yolov5-dnf

https://github.com/apachecn-archive/yolov5-dnf

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Unable to calculate vocabulary similarity
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: apachecn-archive
  • Language: Python
  • Default Branch: main
  • Size: 86.1 MB
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Created about 3 years ago · Last pushed about 3 years ago
Metadata Files
Readme

README.md

原地址

准备工作:数据集的收集与测试

  1. 录制整体流程视频
  2. 标注数据集
  3. 训练权重文件
  4. 视频检测识别效果

游戏主逻辑:

  1. 屏幕抓取后图像识别
  2. 怪物识别,材料识别等,和怪物距离n像素拍地板清怪,捡材料
  3. 进入下一个地图(自动寻路)
  4. boss房间,出现售卖商人,下一次循环

小地图寻路

  1. 固定地图寻路:幽暗密林: → → → ↑ →
  2. 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
  3. 最慢boss寻路(全图:广度优先)

测试流程:

  1. 用小号测试流程

Owner

  • Name: ApacheCN 归档
  • Login: apachecn-archive
  • Kind: organization
  • Email: wizard.z@qq.com

防止重要项目丢失而设立的归档

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Dependencies

utils/google_app_engine/Dockerfile docker
  • gcr.io/google-appengine/python latest build
utils/google_app_engine/additional_requirements.txt pypi
  • Flask ==1.0.2
  • gunicorn ==19.9.0
  • pip ==18.1