ccrcmcpe / auto-arknights Goto Github PK
View Code? Open in Web Editor NEW明日方舟 - 自动化
License: MIT License
明日方舟 - 自动化
License: MIT License
json太啰嗦了,且现在的设置框架很繁琐。
方案 | 注释 |
---|---|
Tesseract | 训练过于麻烦 |
百度OCR | 需要用户自行申请API Key,提供较多试用次数,精准度较低 |
腾讯OCR | 需要用户自行申请API Key,提供的试用次数很少,但是精准度较高 |
自行实现 | 使用MSE/SSIM/CCOEFF匹配 |
目标API返回404 Not Found,这意味着模式1,2,3均已无法使用
Dependabot couldn't find a .(cs|vb|fs)proj for this project.
Dependabot requires a .(cs|vb|fs)proj to evaluate your project's current .NET dependencies. It had expected to find one at the path: /Source/<anything>.(cs|vb|fs)proj
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If this isn't a .NET project, or if it is a library, you may wish to disable updates for it from within Dependabot.
Dependabot couldn't find a .(cs|vb|fs)proj for this project.
Dependabot requires a .(cs|vb|fs)proj to evaluate your project's current .NET dependencies. It had expected to find one at the path: /<anything>.(cs|vb|fs)proj
.
If this isn't a .NET project, or if it is a library, you may wish to disable updates for it from within Dependabot.
问题:如果出现问题可能造成损失,具有风险性。
解决办法:不确定因素高的过程都用Polly实现重试机制,尝试次数到达限制后直接抛出异常
已发现在有些情况下ADB拉取截图会卡住,或者执行点击操作时无效果。
比如剿灭作战会弹出一个窗口,博士等级升级,都需要额外的点击处理。
问题:图像配准性能
目前使用CPU消耗巨大的SIFT算法,经过仔细研究,其实是可以把配准目标图像变换大小到1920*1080(目前资源文件适配的分辨率),然后使用模版匹配(或MSE和SSIM)来配准图像的。预计将极大地降低CPU消耗。但是对于部分除了尺度可能有变换的图像,还存在一些特殊情况(比如主界面的作战按钮,会有空间变换),将使用FAST+FREAK的方法进行特征匹配,相比SIFT也改进了许多。
原因参见 #26
类似"Auto Arknights CLI.exe" 2es
这样的用法,但是为了自动化更加方便可以把计划细分成多个参数
加入此功能是否使程序过于复杂?
关闭Auto Arknights CLI
后有可能留下关联的adb.exe
在运行,可能class Adb
中的ReleaseUnmanagedResources()
并没有发挥其作用,原因未知。
非正常关闭:使用Ctrl+C等方式在中途关闭程序。
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