【Auto】原神⭐钓鱼辅助工具 | 自动收竿、校准游标 | ✨您只需要抛出鱼竿，我们会帮你完成一切✨

Related tags

Computer Vision python opencv automation automatic genshin genshin-impact
Overview

原神钓鱼辅助工具

✨ 作者正在努力重构代码中……会尽快带给大家一个更完美的脚本 ✨

「您只需抛出鱼竿，然后我们会帮您搞定一切」

  • 如果你觉得这个脚本好用，请点一个 Star ⭐ ，你的 Star 就是作者更新最大的动力

✨ 欢迎大家在 Issues 中分享自己的配置文件 ✨

✨ 也祝各位早日钓到精五鱼叉 ✨

这个脚本有什么特色？

  • 直接在游戏画面上通过叠加层显示信息，直截了当，便于调试

    • 游戏中按下 Alt + 小键盘「.」 来显示/隐藏叠加层

  • 使用相对距离定位进度条，不会因为 ui 布局变化而影响检测效果

  • 当配置文件正确时，拥有接近 100% 的检测准确率

  • 可使用快捷键直接对选区截图，方便您构造自己的配置文件

使用教程：

💡 Release 版本现已发布，下载后直接解压即可使用，点击这里 跳转到下载页

  • 首先下载项目代码到本地
git clone https://github.com/Mufanc/Genshin-SmartFishingRod.git
cd Genshin-SmartFishingRod

然后检查您的游戏设置中是否能选择 1600x900 这一尺寸的窗口

  • -> 有

  1. 进入游戏设置，将画面大小改为 1600x900，此时游戏窗口应当没有边框

  2. 运行 python main.py（脚本会自动申请管理员权限）

  3. 选择合适位置抛下鱼竿，等待脚本自动完成钓鱼

  • -> 没有

  很遗憾，现有的配置文件并不能完美支持你的电脑。但请不要灰心，您可以参照下面的教程构建自己的配置文件

关于 detects/detects.yml

  该配置文件中存储着一些图片检测和坐标查找相关的选项：

detects:
  - name: button
    convert: 'gray'  # 颜色转换，会通过 cv2.COLOR_BGR2{{convert.upper()}} 进行转换
    rect: { left: 0.83, top: 0.88, right: 0.13, bottom: 0.03 }  # 标注的矩形框
    mode: match  # 可选 match（匹配） | find（大图找小图）
    threshold: 0.95  # 置信度，超过此阈值时认为匹配成功
    template: button.png

  - name: hook
    rect: { left: 0.49, top: 0.1, right: 0.49, bottom: 0.78 }
    mode: find
    threshold: 0.85
    template: hook.png

progress:  # 进度条相关
  width: 0.26
  height: 0.027
  offset: 0.053  # 进度条中心点到鱼钩图案中心点的高度
  frame-color: [ 192, 255, 255 ]  # 金色滑框和游标的颜色【BGR】
  threshold: 0.04  # 金色像素点数量在进度框中占比达到阈值时，才认为这是一个合法的进度条
  sp: [ 6, 18 ]  # 在 Y 轴方向上金色像素点数量达到一级时，判定为滑框；数量达到二级时，判定为游标
  • detects

  指定一个待识别 / 查找的区域，其 rect 属性中按比例存储了区域的位置信息，比如左上四分之一方框可以表示为：

rect: { left: 0, top: 0, right: 0.5, bottom: 0.5 }

  threshold 和 template 必须同时指定或均不指定，当不指定时，脚本仅会在屏幕上划定一块区域，并为其赋予一个下标 [i]，可以通过按下快捷键 Alt + 小键盘对应数字 对该区域快速截图，并保存到 detects/clips/ 文件夹下

  • progress

  用于提高进度条识别准确度的一些配置，脚本通过检测其下方的鱼钩图标，再进行对应坐标换算的方式定位进度条，其 width、height、offset 属性均为与 detects 项中相同的比例表示方式。这里着重介绍一下 sp 属性的作用

  钓鱼时出现的金色游标和滑框并不像进度条本身一样半透明或颜色会发生变化，其颜色始终为不透明的金色 #ffffc0，故通过统计金色像素在 y 轴方向上出现的数量，加上合适的阈值，便可推断出滑框和游标的位置

  sp 为一个二元数组，设某一横坐标 x 下 y 轴方向金色像素数目为 n，则当 sp[0] <= n < sp[1] 时，认为这是一个滑框的左边界或右边界，而当 n >= sp[1] 时，则认为该位置是「更长」的游标。用截图工具截图并设法放大计数，便可得到 sp 的最佳取值

一些技巧

  • 自动钓鱼时，将检测鱼钩图样的黄色方框置于偏深色背景下，有助于提高稳定性

  • 如果在雪山、踏鞴砂等特殊钓点出现无法自动收竿的情况，请尝试更改阈值或使用针对性的匹配图样

声明和警告

  • 脚本需要管理员权限是因为游戏以管理员权限启动，若无管理员权限则无法模拟鼠标动作

  • 脚本并未修改游戏内存及文件数据，而是类似连点器这样使用 PostMessage 向窗口发送鼠标事件，但仍然存在被检测到的可能，如果你很担心被封号，请不要使用该脚本

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Comments
  • 什么都没改，忽然失效？？？

    什么都没改，忽然失效？？？

    修改了模板匹配方式后可以正常使用 detector.py

    result = cv2.matchTemplate(target, template, cv2.TM_CCOEFF_NORMED)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
# similarity = 1 - min_val  # 计算相似度
similarity = max_val
min_loc = max_loc

    detects.yml

    templates:
  - name: button
    rect: { left: 0.83, top: 0.88, right: 0.13, bottom: 0.03 }  # 识别区域
    threshold: 0.5
    template: button.png

  - name: hook
    rect: { left: 0.49, top: 0.1, right: 0.49, bottom: 0.76 }
    threshold: 0.5
    template: hook.png
    opened by cibimo 1
  • 运行直接报错

    运行直接报错

    源码运行还是exe运行都报错 Traceback (most recent call last): File "main.py", line 53, in File "main.py", line 21, in init AssertionError [53132] Failed to execute script 'main' due to unhandled exception! Exception ignored in: <function Window.del at 0x0000014AF6ABAC10> Traceback (most recent call last): File "main.py", line 48, in del AttributeError: 'Window' object has no attribute 'hMemDc'

    opened by 940842546 1
  • 设置缩放后标记位置出现偏差

    设置缩放后标记位置出现偏差

    本人电脑显示设置中缩放与布局设置了150%的缩放 代码需要做出以下更改： 1.overlay.py中_update() width, height = right - left, bottom - top xxx = 1.5 win32gui.MoveWindow(self.hwnd, int(left/xxx), int(top/xxx), width, height, False)

    2.detector.py中mark() xxx = 1.5 x1, y1, x2, y2 = int(x1/xxx), int(y1/xxx), int(x2/xxx), int(y2/xxx) cv2.rectangle(image, (x1, y1), (x2, y2), color, 2)

    opened by cibimo 0
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