From 1aa26206752c13d241c7078dcdb80b1bb9ca0ccd Mon Sep 17 00:00:00 2001 From: anywheretogo <63397520@qq.com> Date: Sun, 21 Mar 2021 19:27:17 +0800 Subject: [PATCH 01/13] =?UTF-8?q?=E9=87=8D=E5=86=99=E6=A1=86=E6=9E=B6?= =?UTF-8?q?=EF=BC=8C=E5=B0=81=E8=A3=85API?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 101 +++-- action.py | 83 ---- action_adb.py | 109 ------ auto_player.py | 186 +++++++++ example_adb_arknights.py | 79 ++++ example_desktop_YYS.py | 53 +++ ...346\210\252\345\233\27620190113211617.jpg" | Bin 29417 -> 0 bytes jpg/guding.jpg | Bin 1939 -> 0 bytes jpg/jian.jpg | Bin 1921 -> 0 bytes jpg/jiangli.jpg | Bin 7984 -> 0 bytes jpg/jieshou.jpg | Bin 1745 -> 0 bytes jpg/jieshou2.jpg | Bin 2395 -> 0 bytes jpg/jinru.jpg | Bin 2717 -> 0 bytes jpg/jixu.jpg | Bin 2418 -> 0 bytes jpg/kaishi.jpg | Bin 3513 -> 0 bytes jpg/left.jpg | Bin 5665 -> 0 bytes jpg/lol.jpg | Bin 7647 -> 0 bytes jpg/queding.jpg | Bin 2878 -> 0 bytes jpg/queren.jpg | Bin 2536 -> 0 bytes jpg/tansuo.jpg | Bin 2491 -> 0 bytes jpg/tiaozhan.jpg | Bin 2918 -> 0 bytes jpg/tui.jpg | Bin 1704 -> 0 bytes jpg/tuichu.jpg | Bin 1272 -> 0 bytes jpg/wenhao.jpg | Bin 1850 -> 0 bytes jpg/xiao.jpg | Bin 1470 -> 0 bytes jpg/ying.jpg | Bin 9175 -> 0 bytes jpg/zhan.jpg | Bin 5799 -> 0 bytes jpg/zhunbei.jpg | Bin 3239 -> 0 bytes screen.jpg | Bin 295555 -> 0 bytes screen/screen.jpg | Bin 0 -> 402992 bytes settings.py | 11 + wanted/exp.jpg | Bin 0 -> 3287 bytes wanted/exp_yys.jpg | Bin 0 -> 7633 bytes wanted/going.jpg | Bin 0 -> 5331 bytes wanted/going_yys.jpg | Bin 0 -> 2127 bytes wanted/lv.jpg | Bin 0 -> 8730 bytes wanted/start1.jpg | Bin 0 -> 4785 bytes wanted/start2.jpg | Bin 0 -> 15084 bytes wanted/start_yys.jpg | Bin 0 -> 2584 bytes wanted/yes.jpg | Bin 0 -> 2501 bytes yys.py | 356 ------------------ yys_adb.py | 309 --------------- 42 files changed, 402 insertions(+), 885 deletions(-) delete mode 100644 action.py delete mode 100644 action_adb.py create mode 100644 auto_player.py create mode 100644 example_adb_arknights.py create mode 100644 example_desktop_YYS.py delete mode 100644 "jpg/QQ\346\210\252\345\233\27620190113211617.jpg" delete mode 100644 jpg/guding.jpg delete mode 100644 jpg/jian.jpg delete mode 100644 jpg/jiangli.jpg delete mode 100644 jpg/jieshou.jpg delete mode 100644 jpg/jieshou2.jpg delete mode 100644 jpg/jinru.jpg delete mode 100644 jpg/jixu.jpg delete mode 100644 jpg/kaishi.jpg delete mode 100644 jpg/left.jpg delete mode 100644 jpg/lol.jpg delete mode 100644 jpg/queding.jpg delete mode 100644 jpg/queren.jpg delete mode 100644 jpg/tansuo.jpg delete mode 100644 jpg/tiaozhan.jpg delete mode 100644 jpg/tui.jpg delete mode 100644 jpg/tuichu.jpg delete mode 100644 jpg/wenhao.jpg delete mode 100644 jpg/xiao.jpg delete mode 100644 jpg/ying.jpg delete mode 100644 jpg/zhan.jpg delete mode 100644 jpg/zhunbei.jpg delete mode 100644 screen.jpg create mode 100644 screen/screen.jpg create mode 100644 settings.py create mode 100644 wanted/exp.jpg create mode 100644 wanted/exp_yys.jpg create mode 100644 wanted/going.jpg create mode 100644 wanted/going_yys.jpg create mode 100644 wanted/lv.jpg create mode 100644 wanted/start1.jpg create mode 100644 wanted/start2.jpg create mode 100644 wanted/start_yys.jpg create mode 100644 wanted/yes.jpg delete mode 100644 yys.py delete mode 100644 yys_adb.py diff --git a/README.md b/README.md index 91b9af2..747ded0 100644 --- a/README.md +++ b/README.md @@ -1,34 +1,79 @@ -# 补充说明 -2019.07.04 +### 2021.03.21更新 -* 注意文件路径不要有中文,否则会导致opencv读取图片失败,出现无法读取NoneType的Shape之类的错误 -* 如果运行没有提示错误,但是一直匹配失败,空跑鼠标没动,多半是图标精度问题,从自己电脑截取相应图标覆盖jpg文件夹的同名文件,不要改名 -* 如果鼠标找到了移动了却不点击,试下用管理员权限运行 -* 如果需要ADB多设备多开,可得复制多份运行对应多个设备,需要在action文件里ADB命令中加入设备名称以区分 -* 脚本纯属爱好与分享,欢迎一起交流,但不提供售后服务 +两年前随便写的一个小脚本居然骗到100个星了,感觉十分惭愧对不起大家厚爱。 +正好我现在弄另一个类似游戏的脚本,于是就结合了现用的脚本,重新封装整理出一个通用的框架。 +目标是遇到相似的游戏时能10分钟内迅速写出一个能用脚本来。 +还是一样包含桌面版和ADB版两个版本,分别用的明日方舟和阴阳师写了个例子。 +主要目的是提供封装好的API供大家使用,所以例子写得比较简单只写了开始结束的自动点击和战斗中的判断。 +剩下的比如体力不足、接受或拒绝组队之类的细节大家自行添加。 -# YYS挂机辅助 -阴阳师手游自动挂机脚本,功能同游戏内自带的小纸人挂机系统类似,等于不受樱饼限制无限使用的小纸人~ +## 自动游戏挂机辅助 +* 通用手游自动挂机脚本,解放双手,功能同阴阳师手游内自带的小纸人挂机系统类似,等于不受樱饼限制无限使用的小纸人~ +* 拟人化的识图与模拟点击,不读取或修改游戏内部数据,只是取代手动操作。通过随机偏移点击位置和操作延迟防检测。 +* 适用阴阳师、明日方舟、碧蓝航线等能自动战斗只要手动点开始结束的游戏。不适用王者荣耀等需要大量操作的游戏. ## 核心思路: -* 在电脑上用手机模拟器运行游戏,通过截屏与图像识别判断当前场景寻找目标,控制鼠标进行模拟点击 +* 通过截屏和图片识别的方法判断当前游戏场景,找到需要点击的位置(用的opencv) * 使用随机位置偏移与随机操作延迟防检测 -* 默认版本是是截屏识别所以游戏窗口需要在前台不能被遮挡/ADB版本后台控制不怕遮挡效率稍慢 - -## 功能说明 -* 自动合卡:在合成界面启动,自动选择前三张卡进行合成 -* 自动组队魂十:在御魂开始页面启动,可以作为队长或队员。需要锁定阵容 -* 自动单刷业原火: 在业原火挑战界面开启,锁定阵容。同样适用单刷御魂/觉醒/御灵 -* 自动组队探索副本:只能作为队员/打手, 需要锁定阵容。自动跟随队长退出,自动授受组队,自动确认通关 -* 自动单刷困28副本:地图内启动,无需组队,但是无法单独识别经验BUFF,适合单刷绘卷。 - -## 其它说明 -* PG文件文件里是需要寻找的位置图片,screen.jpg是实时全屏截图,函数封装在action.py,主程序在yys.py。 -* 默认模拟器分辨率为1280x720,其它分辨率可能需要重新截图标。推荐夜神模拟器。 -* 拟人化的识图与模拟点击,不读取或修改游戏内部数据,只是取代手动操作。 -* 自用了大半年效果稳定,因为是自用的所以文档不太仔细,有python & yys共同爱好的可以找我交流。 -* -##更新说明 -2019.03.06: -添加ADB版本。功能基本不变,操控方向从电脑直接截图、点击,改成了以ADB方式控制模拟器截图点击。优点:截图点击从前台转到后台,不用担心窗口遮挡问题,不影响电脑其它工作。缺点:ADB截图文件需要从模拟器传输到电脑进行分析,效率低并且有小概率传输出错卡死。原始截图片高效稳定但占用屏幕适合组队或无人挂机,ADB效率稳定性低但不影响电脑工作适合边玩电脑边后台休闲挂机。 +* 桌面版本:电脑截屏,鼠标点击(用的pyautogui,可以用于电脑客户端或模拟器) +* ADB版本: 电脑向手机发送ADB命令截屏和点击(可以用连接真实手机或模板器) + +## 使用说明: +setting.py是设置文件,里面mode=1就是桌面模式,mode设置为0就是ADB模式。默认1。 +wanted文件夹是要查找的目标图标,比如开始按键确认按键等截图保存到这里,文件后缀为.jpg。 +screen文件夹是用来自动可在当前截屏的。 +auto_player.py是主体文件,导入后就可以使用下面两个API。 +example_adb_arknights.py是ADB模式的明日方舟脚本,用的自己手机,明日方舟所有地图开始结束界面都一样,超简单。 +example_desktop_YYS.py是桌面模式的阴阳师挂机脚本,用的官方客户端,只写了一个简单的单人御魂模式,供大家参考。 + +### find_touch(target, tap=True)。 +* 功能:截屏,查找target图标在截屏上的位置,并点击所在位置 +* 传入参数target:string,查找的图标文件名,比如target='start',则会查找wanted文件夹里的start.jpg图标所在位置并点击 +* 传入参数tap:bool,是找到后是否点击,True是找到并点击。False是只查找不点击。因为这类游戏都是只要开始和结束时点击,中间有些图标是判断它正在自动战斗中的,不需要点击。 +* 返回参数:找到了返回True, 未找到返回False + +### find_touch_any(target_list, tap=True)。 +* 功能:截屏,查找target_list列表图标在截屏上的位置,找到任意一个就会中断查找并点击所在位置。就是上面那个的批量处理版本,一次截屏查找多个目标。 +* 传入参数target_list:string list,查找的图标文件名列表, 比如target=['start', 'end'], 则会查找wanted文件夹里的start.jpg图标和end.jpg图标所在位置,按顺序查找,只会点击最先找到的那个。 +* 传入参数tap:同上 +* 返回参数:找到了则返回找到的图标名称, 未找到返回None + +### 代码示例: + import auto_player as player + + #在当前屏幕寻找start.jpg图标的位置并点击 + player.find_touch("start") + + #判断当前屏幕是否有start.jpg图标,只返回判断结果但不点击 + player.find_touch("start", tap=False) + + #在当前屏幕寻找start.jpg图标或end.jpg,找到其中任意一个就会点击并返回 + player.find_touch_any(["start", "end"]) + + #判断当前屏幕是否有start.jpg图标或end.jpg,只返回第一个找到的图标名,未找到则返回None + player.find_touch_any(["start", "end"], tap=False) + + #以上代码需要你先把开始按键、结算按键保存wanted文件夹并命名为start.jpg、end.jpg,否则会出现keyError错误 + + +## 常见问题 +* 注意文件路径不要有中文,否则会导致opencv读取图片失败,出现无法读取NoneType的Shape之类的错误 +* 桌面版本是是截屏识别所以游戏窗口需要在前台不能被遮挡。 +* 桌面版本如果找到了目标且鼠标移动了,却没有点击,大概率是权限问题。用管理员权限打开CMD来运行程序即可。 +* ADB版本可以后台控制不怕遮挡,但是需要等手机截屏传输到电脑,传文件过程较慢且有极小概率出错卡死 +* 果运行没有提示错误,但是一直匹配失败找不到,多半是图标精度问题,重新截取要找的图标 +* ADB版本效率稍低但可以后台运行,不影响用电脑正常使用,我自己平常用的比较多。桌面版效率高,据反馈有概率被抓,可能是速度太快了或者游戏客户端带了检测。 +* 脚本纯属爱好与分享,欢迎一起交流,但不提供售后服务 + +## 补充说明 +这个原来来是专门写给阴阳师的,点赞的人应该也都是阴阳师玩家,所以针对阴阳师脚本的思路再做一点补充说明、 +* 例子上写的是单人御魂, 组队跟单人其实是一样的,就再加一个点击接受组队。 +* 御魂、业原火、觉醒这类地图都是一样的逻辑,就是界面和图标有的不一样,一直循环查找点击就好了。 +* 探索麻烦一点,因为每个怪长得不一样。建议查找目标设置为怪头上那个交叉的剑的小图标,这个不会变。 +* 探索进图后找那个交叉剑的攻击标识,找不到就拖动地图,拖动几次还找不到就退出重进,单刷大概就这样思路 +* 组队探索最好是乘客位,不当司机,因为识别不了双倍经验BUFF怪。 +有一个发表情的标识可以判断队长是否还在地图里,队长退了就跟着退厃重新接受组长 +* 最最麻烦的百鬼夜行,动来动去超坑爹,我打算弄个机器学习给他们做人脸识别。 +等哪天我做成功了就重新回坑把我那上千张百鬼票砸了。 + diff --git a/action.py b/action.py deleted file mode 100644 index 3487438..0000000 --- a/action.py +++ /dev/null @@ -1,83 +0,0 @@ - -import cv2,numpy,time,os, random -from PIL import ImageGrab -from winsound import Beep - - #在背景查找目标图片,并返回查找到的结果坐标列表,target是背景,want是要找目标 -def locate(target,want, show=0, msg=0): - loc_pos=[] - want,treshold,c_name=want[0],want[1],want[2] - result=cv2.matchTemplate(target,want,cv2.TM_CCOEFF_NORMED) - location=numpy.where(result>=treshold) - - if msg: #显示正式寻找目标名称,调试时开启 - print(c_name,'searching... ') - - h,w=want.shape[:-1] #want.shape[:-1] - - n,ex,ey=1,0,0 - for pt in zip(*location[::-1]): #其实这里经常是空的 - x,y=pt[0]+int(w/2),pt[1]+int(h/2) - if (x-ex)+(y-ey)<15: #去掉邻近重复的点 - continue - ex,ey=x,y - - cv2.circle(target,(x,y),10,(0,0,255),3) - - if msg: - print(c_name,'we find it !!! ,at',x,y) - - x,y=int(x),int(y) - loc_pos.append([x,y]) - - if show: #在图上显示寻找的结果,调试时开启 - cv2.imshow('we get',target) - cv2.waitKey(0) - cv2.destroyAllWindows() - - if len(loc_pos)==0: - print(c_name,'not find') - - return loc_pos - - -#按【文件内容,匹配精度,名称】格式批量聚聚要查找的目标图片,精度统一为0.85,名称为文件名 -def load_imgs(): - mubiao = {} - path = os.getcwd() + '/jpg' - file_list = os.listdir(path) - - for file in file_list: - name = file.split('.')[0] - file_path = path + '/' + file - a = [ cv2.imread(file_path) , 0.85, name] - mubiao[name] = a - - return mubiao - -#蜂鸣报警器,参数n为鸣叫资料 -def alarm(n): - frequency = 1500 - last = 500 - - for n in range(n): - Beep(frequency,last) - time.sleep(0.05) - -#裁剪图片以缩小匹配范围,screen为原图内容,upleft、downright是目标区域的左上角、右下角坐标 -def cut(screen,upleft,downright): - - a,b=upleft - c,d=downright - screen=screen[b:d,a:c] - - return screen - -#随机偏移坐标,防止游戏的外挂检测。p是原坐标,w、n是目标图像宽高,返回目标范围内的一个随机坐标 -def cheat(p, w, h): - a,b = p - w, h = int(w/3), int(h/3) - c,d = random.randint(-w, w),random.randint(-h, h) - e,f = a + c, b + d - y = [e, f] - return(y) \ No newline at end of file diff --git a/action_adb.py b/action_adb.py deleted file mode 100644 index af4f58f..0000000 --- a/action_adb.py +++ /dev/null @@ -1,109 +0,0 @@ -import cv2,numpy,time, os, random, threading -from winsound import Beep - -#超时3秒未完成则重启 -def time_out(func): - def wrap_func(*args,**kwargs): - restart = lambda : func(*args,**kwargs) - timer = threading.Timer(3, restart) - timer.start() - func(*args,**kwargs) - timer.cancel() - return wrap_func - -#ADB命令手机截屏,并发送到当前目录,opencv读取文件并返回 -@time_out -def screen_shot(): - a = "adb shell screencap -p sdcard/screen.jpg" - b = "adb pull sdcard/screen.jpg" - for row in [a, b]: - time.sleep(0.5) - os.system(row) - - - -# ADB命令点击屏幕,参数pos为目标坐标 -def touch(pos): - x, y = pos - a = "adb shell input touchscreen tap {0} {1}" .format(x, y) - os.system(a) - -#蜂鸣报警器,参数n为鸣叫资料 -def alarm(n): - frequency = 1500 - last = 500 - - for n in range(n): - Beep(frequency,last) - time.sleep(0.05) - -#按【文件内容,匹配精度,名称】格式批量读取要查找的目标图片,精度统一为0.85,名称为文件名 -def load_imgs(): - mubiao = {} - path = os.getcwd() + '/jpg' - file_list = os.listdir(path) - - for file in file_list: - name = file.split('.')[0] - file_path = path + '/' + file - a = [ cv2.imread(file_path) , 0.85, name] - mubiao[name] = a - - return mubiao - - #在背景查找目标图片,以列表形式返回查找目标的中心坐标, - #screen是截屏图片,want是找的图片【按上面load_imgs的格式】,show是否以图片形式显示匹配结果【调试用】 -def locate(screen, want, show=0): - loc_pos = [] - want, treshold, c_name = want[0], want[1], want[2] - result = cv2.matchTemplate(screen, want, cv2.TM_CCOEFF_NORMED) - location = numpy.where(result >= treshold) - - h,w = want.shape[:-1] - - n,ex,ey = 1,0,0 - for pt in zip(*location[::-1]): - x,y = pt[0] + int(w/2), pt[1] + int(h/2) - if (x-ex) + (y-ey) < 15: #去掉邻近重复的点 - continue - ex,ey = x,y - - cv2.circle(screen, (x, y), 10, (0, 0, 255), 3) - - x,y = int(x), int(y) - loc_pos.append([x, y]) - - if show: #在图上显示寻找的结果,调试时开启 - cv2.imshow('we get', screen) - cv2.waitKey(0) - cv2.destroyAllWindows() - - if len(loc_pos) == 0: - print(c_name, 'not found') - - return loc_pos - -#裁剪图片以缩小匹配范围,screen为原图内容,upleft、downright是目标区域的左上角、右下角坐标 -def cut(screen, upleft, downright): - - a,b = upleft - c,d = downright - screen = screen[b:d,a:c] - - return screen - -#随机偏移坐标,防止游戏的外挂检测。p是原坐标,w、n是目标图像宽高,返回目标范围内的一个随机坐标 -def cheat(p, w, h): - a,b = p - w, h = int(w/3), int(h/3) - c,d = random.randint(-w, w),random.randint(-h, h) - e,f = a + c, b + d - y = [e, f] - return(y) - -#随机延迟,防止游戏外挂检测,延迟时间范围为【x, y】秒之间 -def wait(x=0.2, y=0.5): - t = random.uniform(x, y) - time.sleep(t) - - diff --git a/auto_player.py b/auto_player.py new file mode 100644 index 0000000..60bb43c --- /dev/null +++ b/auto_player.py @@ -0,0 +1,186 @@ +import cv2, numpy,time, os, random, threading +import pyautogui +from winsound import Beep +from PIL import ImageGrab +from settings import * + +#桌面模式下的鼠标操作延迟,程序已经设置随机延迟这里无需设置修改 +pyautogui.PAUSE = 0.01 + + +#adb模式下设置连接测试 +def adb_test(): + if mode == 1: + return + raw_content = os.popen('adb devices').read() + row_list = raw_content.split('List of devices attached\n')[1].split('\n') + devices_list = [i for i in row_list if len(i) > 1] + print(raw_content) + devices_count = len(devices_list) + assert devices_count > 0, 'adb连接设备数量为 ' + devices_count + + +#超时3秒未完成则重试,传输图片时有极小概率卡死 +def time_out(func): + def wrap_func(*args,**kwargs): + restart = lambda : func(*args,**kwargs) + timer = threading.Timer(3, restart) + timer.start() + func(*args,**kwargs) + timer.cancel() + return wrap_func + +#匹配图片时小概率出错,一般是图片传输时损坏,重新截图匹配 +def retry(func): + def wrap_func(*args,**kwargs): + try: + re = func(*args,**kwargs) + except: + print("图片匹配错误,稍后重试") + time.sleep(3) + re = func(*args,**kwargs) + return re + return wrap_func + +#截屏并发送到目录./screen, 默认返回cv2读取后的图片 +def screen_shot(): + if mode == 0: #adb截屏并传输文件 + a = "adb shell screencap -p sdcard/screen.jpg" + b = "adb pull sdcard/screen.jpg ./screen" + for row in [a, b]: + time.sleep(0.1) + os.system(row) + else: #桌面截屏 + screen = ImageGrab.grab() + screen.save('./screen/screen.jpg') + print('截图已完成 ', time.ctime()) + screen = cv2.imread('./screen/screen.jpg') + return screen + +# ADB命令模拟点击屏幕,参数pos为目标坐标(x, y) +def touch(pos): + x, y = pos + if mode == 0: #adb点击 + a = "adb shell input touchscreen tap {0} {1}" .format(x, y) + os.system(a) + else: #桌面鼠标点击 + pyautogui.moveTo(x, y) + pyautogui.click(x, y) + +#蜂鸣报警器,参数n为鸣叫次数,可用于提醒出错或任务完成 +def alarm(n=3): + frequency = 1500 + last = 500 + for n in range(n): + Beep(frequency,last) + time.sleep(0.05) + +#按【cv2读取文件内容,匹配精度,图片名称】格式批量读取要查找的目标图片,名称为文件名 +def load_imgs(): + imgs = {} + treshold = accuracy + path = wanted_path + file_list = os.listdir(path) + + for file in file_list: + name = file.split('.')[0] + file_path = path + '/' + file + a = [ cv2.imread(file_path) , treshold, name] + imgs[name] = a + + return imgs +imgs = load_imgs() + + #在背景查找目标图片,以列表形式返回查找目标的中心坐标, + #screen是截屏图片,wanted是找的图片【按上面load_imgs的格式】,show是否以图片形式显示匹配结果【调试用】 +def locate(screen, wanted, show=0): + loc_pos = [] + wanted, treshold, c_name = wanted + result = cv2.matchTemplate(screen, wanted, cv2.TM_CCOEFF_NORMED) + location = numpy.where(result >= treshold) + + h,w = wanted.shape[:-1] + + n,ex,ey = 1,0,0 + for pt in zip(*location[::-1]): + x,y = pt[0] + int(w/2), pt[1] + int(h/2) + if (x-ex) + (y-ey) < 15: #去掉邻近重复的点 + continue + ex,ey = x,y + + cv2.circle(screen, (x, y), 10, (0, 0, 255), 3) + + x,y = int(x), int(y) + loc_pos.append([x, y]) + + if show: #在图上显示寻找的结果,调试时开启 + cv2.imshow('we get', screen) + cv2.waitKey(0) + cv2.destroyAllWindows() + + return loc_pos + +#裁剪图片以缩小匹配范围,screen为原图内容,upleft、downright是目标区域的左上角、右下角坐标 +def cut(screen, upleft, downright): + a,b = upleft + c,d = downright + screen = screen[b:d,a:c] + return screen + +#随机偏移坐标,防止游戏的外挂检测。p是原坐标(x, y),w、n是目标图像宽高,返回目标范围内的一个随机坐标 +def random_offset(p, w=40, h=20): + a,b = p + w, h = int(w/3), int(h/3) + c,d = random.randint(-w, w),random.randint(-h, h) + e,f = a + c, b + d + y = [e, f] + return(y) + +#随机延迟点击,防止游戏外挂检测,延迟时间范围为【x, y】秒之间 +def random_delay(x=0.1, y=0.2): + t = random.uniform(x, y) + time.sleep(t) + + +#寻找并点击, tap为FALSE则只寻找不点击,返回结果是否找到TURE/FALSE +def find_touch(target, tap=True): + screen = screen_shot() + print('单个目标 ', target) + wanted = imgs[target] + size = wanted[0].shape + h, w , ___ = size + pts = locate(screen, wanted) + if pts: + print('Y 已找到目标 ', target) + xx = pts[0] + xx = random_offset(xx, w, h) + if tap: + touch(xx) + random_delay() + return True + else: + print('N 未找到目标 ', target) + return False + +#寻找并点击,找到返回目标名,未找到返回NONE +def find_touch_any(target_list, tap=True): + screen = screen_shot() + print('目标列表 ', target_list) + re = None + for target in target_list: + wanted = imgs[target] + size = wanted[0].shape + h, w , ___ = size + pts = locate(screen, wanted) + if pts: + print('Y 已找到目标 ', target, '位置 ', pts[0]) + xx = pts[0] + xx = random_offset(xx, w, h) + if tap: + touch(xx) + random_delay() + re = target + break + else: + print('N 未找到目标', target) + return re diff --git a/example_adb_arknights.py b/example_adb_arknights.py new file mode 100644 index 0000000..a5bf74a --- /dev/null +++ b/example_adb_arknights.py @@ -0,0 +1,79 @@ +### 2021.03.21更新 + +两年前随便写的一个小脚本居然骗到100个星了,感觉十分惭愧对不起大家厚爱。 +正好我现在弄另一个类似游戏的脚本,于是就结合了现用的脚本,重新封装整理出一个通用的框架。 +目标是遇到相似的游戏时能10分钟内迅速写出一个能用脚本来。 + +还是一样包含桌面版和ADB版两个版本,分别用的明日方舟和阴阳师写了个例子。 +主要目的是提供封装好的API供大家使用,所以例子写得比较简单只写了开始结束的自动点击和战斗中的判断。 +剩下的比如体力不足、接受或拒绝组队之类的细节大家自行添加。 + +## 自动游戏挂机辅助 +* 通用手游自动挂机脚本,解放双手,功能同阴阳师手游内自带的小纸人挂机系统类似,等于不受樱饼限制无限使用的小纸人~ +* 拟人化的识图与模拟点击,不读取或修改游戏内部数据,只是取代手动操作。通过随机偏移点击位置和操作延迟防检测。 +* 适用阴阳师、明日方舟、碧蓝航线等能自动战斗只要手动点开始结束的游戏。不适用王者荣耀等需要大量操作的游戏. + +## 核心思路: +* 通过截屏和图片识别的方法判断当前游戏场景,找到需要点击的位置(用的opencv) +* 使用随机位置偏移与随机操作延迟防检测 +* 桌面版本:电脑截屏,鼠标点击(用的pyautogui,可以用于电脑客户端或模拟器) +* ADB版本: 电脑向手机发送ADB命令截屏和点击(可以用连接真实手机或模板器) + +## 使用说明: + +wanted文件夹是要查找的目标图标,比如开始按键确认按键等截图保存到这里,文件后缀为.jpg。 +screen文件夹是用来自动可在当前截屏的。 +auto_player.py是主体文件,导入后就可以使用下面两个API。 +example_adb_arknights.py是ADB模式的明日方舟脚本,明日方舟所有地图开始结束界面都一样,超简单。 +example_desktop_YYS.py是桌面模式的阴阳师挂机脚本,只写了一个简单的单人御魂模式,供大家参考。 + +### find_touch(target, tap=True)。 +* 功能:截屏,查找target图标在截屏上的位置,并点击所在位置 +* 传入参数target:string,查找的图标文件名,比如target='start',则会查找wanted文件夹里的start.jpg图标所在位置并点击 +* 传入参数tap:bool,是找到后是否点击,True是找到并点击。False是只查找不点击。因为这类游戏都是只要开始和结束时点击,中间有些图标是判断它正在自动战斗中的,不需要点击。 +* 返回参数:找到了返回True, 未找到返回False + +### find_touch_any(target_list, tap=True)。 +* 功能:截屏,查找target_list列表图标在截屏上的位置,找到任意一个就会中断查找并点击所在位置。就是上面那个的批量处理版本,一次截屏查找多个目标。 +* 传入参数target_list:string list,查找的图标文件名列表, 比如target=['start', 'end'], 则会查找wanted文件夹里的start.jpg图标和end.jpg图标所在位置,按顺序查找,只会点击最先找到的那个。 +* 传入参数tap:同上 +* 返回参数:找到了则返回找到的图标名称, 未找到返回None + +### 代码示例: + import auto_player as player + + #在当前屏幕寻找start.jpg图标的位置并点击 + player.find_touch("start") + + #判断当前屏幕是否有start.jpg图标,只返回判断结果但不点击 + player.find_touch("start", tap=False) + + #在当前屏幕寻找start.jpg图标或end.jpg,找到其中任意一个就会点击并返回 + player.find_touch_any(["start", "end"]) + + #判断当前屏幕是否有start.jpg图标或end.jpg,只返回第一个找到的图标名,未找到则返回None + player.find_touch_any(["start", "end"], tap=False) + + #以上代码需要你先把开始按键、结算按键保存wanted文件夹并命名为start.jpg、end.jpg,否则会出现keyError错误 + + +## 常见问题 +* 注意文件路径不要有中文,否则会导致opencv读取图片失败,出现无法读取NoneType的Shape之类的错误 +* 桌面版本是是截屏识别所以游戏窗口需要在前台不能被遮挡。 +* 桌面版本如果找到了目标且鼠标移动了,却没有点击,大概率是权限问题。用管理员权限打开CMD来运行程序即可。 +* ADB版本可以后台控制不怕遮挡,但是需要等手机截屏传输到电脑,传文件过程较慢且有极小概率出错卡死 +* 果运行没有提示错误,但是一直匹配失败找不到,多半是图标精度问题,重新截取要找的图标 +* ADB版本效率稍低但可以后台运行,不影响用电脑正常使用,我自己平常用的比较多。桌面版效率高,据反馈有概率被抓,可能是速度太快了或者游戏客户端带了检测。 +* 脚本纯属爱好与分享,欢迎一起交流,但不提供售后服务 + +## 补充说明 +这个原来来是专门写给阴阳师的,点赞的人应该也都是阴阳师玩家,所以针对阴阳师脚本的思路再做一点补充说明、 +* 例子上写的是单人御魂, 组队跟单人其实是一样的,就再加一个点击接受组队。 +* 御魂、业原火、觉醒这类地图都是一样的逻辑,就是界面和图标有的不一样,一直循环查找点击就好了。 +* 探索麻烦一点,因为每个怪长得不一样。建议查找目标设置为怪头上那个交叉的剑的小图标,这个不会变。 +* 探索进图后找那个交叉剑的攻击标识,找不到就拖动地图,拖动几次还找不到就退出重进,单刷大概就这样思路 +* 组队探索最好是乘客位,不当司机,因为识别不了双倍经验BUFF怪。 +有一个发表情的标识可以判断队长是否还在地图里,队长退了就跟着退厃重新接受组长 +* 最最麻烦的百鬼夜行,动来动去超坑爹,我打算弄个机器学习给他们做人脸识别。 +等哪天我做成功了就重新回坑把我那上千张百鬼票砸了。 + diff --git a/example_desktop_YYS.py b/example_desktop_YYS.py new file mode 100644 index 0000000..84cd17a --- /dev/null +++ b/example_desktop_YYS.py @@ -0,0 +1,53 @@ +import time, os +import auto_player as player + +def get_pictures(): + player.screen_shot() + +def auto_play_yuhun(round=50): + count = 0 + while count < round: + ar1 = ['start_yys', 'exp_yys',] + re = player.find_touch_any(ar1) + if re == 'start_yys': + print('开始新一轮...') + count += 1 + #time.sleep(10) + elif re == 'exp_yys': + print('领取奖励...') + elif re is None: + ar2 = ['going_yys',] + re = player.find_touch_any(ar2, False) + if re == 'goging_yys': + print('托管中...') + time.sleep(5) + + +def function3(): + print('功能3未设置') + +def menu(debug=False): + + menu_list = [ + [get_pictures, '获取当前屏幕截图'], + [auto_play_yuhun, '自动刷图_御魂'], + 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- traceback.print_exc() - time.sleep(60) - - return wrap - -@log -def select_mode(): - print('''\n菜单: 鼠标移动到最右侧中止并返回菜单页面, - 1 结界自动合卡,自动选择前三张合成 - 2 自动通关魂十,自动接受组队并确认通关 - 3 自动通关业原火,单刷 - 4 自动刷组队狗粮(打手模式), - 5 单刷探索副本,无法区分经验BUFF - ''') - action.alarm(1) - raw = input("选择功能模式:") - index = int(raw) - - mode = [0, card, yuhun, yeyuanhuo, goliang, solo] - comand = mode[index] - comand() - -########################################################## -#合成结界卡,较简单,未偏移直接点 -def card(): - while True: - #鼠标移到右侧中止 - if pyautogui.position()[0] >= pyautogui.size()[0] * 0.7: - select_mode() - - x, y, z = (370, 238), (384, 385), (391, 525) #前三张卡的位置 - zz = (871, 615) #合成按钮位置 - for i in [x, y, z ,zz]: - pyautogui.click(i) - time.sleep(0.1) - time.sleep(0.5) - - -######################################################## -#魂十通关 -def yuhun(): - while True : - #鼠标移到最右侧中止 - if pyautogui.position()[0] >= pyautogui.size()[0] * 0.98: - select_mode() - - screen = ImageGrab.grab() - screen.save('screen.jpg') - screen = cv2.imread('screen.jpg') - - #截屏,并裁剪以加速 - upleft = (0, 0) - downright = (2550, 770) #上部并排 - - a,b = upleft - c,d = downright - screen = screen[b:d,a:c] - - print('screen shot ok',time.ctime()) - - #设定目标,开始查找 - #这里是自动接受组队 - for i in ['jieshou2',"jieshou"]: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - x1,x2 = upleft, (430, 358) - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('接受组队') - xx = pts[0] - xx = action.cheat(xx, w, h) - if xx[0] > 120: - pyautogui.click(xx) - t = random.randint(40,80) / 100 - time.sleep(t) - break - else: - pass - continue - - #自动点击通关结束后的页面 - for i in ['ying','jiangli','kaishi','jixu' ]: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - for pt in pts: - pt = action.cheat(pt, w, h) - pyautogui.click(pt) - t = random.randint(100,200) / 1000 - time.sleep(t) - break - select_mode() - -######################################################## -#业原火通关 -def yeyuanhuo(): - while True : #直到取消,或者出错 - if pyautogui.position()[0] >= pyautogui.size()[0] * 0.98: - select_mode() - - screen = ImageGrab.grab() - screen.save('screen.jpg') - screen = cv2.imread('screen.jpg') - - #截屏,并裁剪以加速 - upleft = (0, 0) - downright = (1426, 798) - - a,b = upleft - c,d = downright - screen = screen[b:d,a:c] - - print('screen shot ok',time.ctime()) - - #设定目标,开始查找 - - #过关 - for i in ['ying','jiangli','tiaozhan','jixu']: - want=imgs[i] - size = want[0].shape - h, w , ___ = size - target=screen - pts=action.locate(target,want,0) - if not len(pts)==0: - for pt in pts: - pt = action.cheat(pt, w, h) - pyautogui.click(pt) - t = random.randint(20,50) / 100 - time.sleep(t) - break - -######################################################## - #狗粮通关 -def goliang(): - while True: #直到取消,或者出错 - if pyautogui.position()[0] >= pyautogui.size()[0] * 0.98: - select_mode() - - screen = ImageGrab.grab() - screen.save('screen.jpg') - screen = cv2.imread('screen.jpg') - - #截屏,并裁剪以加速 - upleft = (0, 0) - downright = (1358, 768) - downright2 = (2550, 768) - - a,b = upleft - c,d = downright - screen = screen[b:d,a:c] - - print('screen shot ok',time.ctime()) - - #设定目标,开始查找 - #进入后 - want = imgs['guding'] - - x1 = (785, 606) - x2 = downright - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('正在地图中') - - want = imgs['xiao'] - x1,x2 = (5, 405), (119, 560) - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('组队状态中') - else: - print('退出重新组队') - - for i in ['queren', 'tuichu']: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - x1,x2 = upleft, (965, 522) - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('退出中') - try: - queding = pts[1] - except: - queding = pts[0] - queding = action.cheat(queding, w, h) - pyautogui.click(queding) - t = random.randint(50,80) / 100 - time.sleep(t) - break - continue - - want = imgs['jieshou'] - size = want[0].shape - h, w , ___ = size - x1,x2 = upleft, (250, 380) - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('接受组队') - xx = pts[0] - xx = action.cheat(xx, w, h) - if xx[0] > 120: - pyautogui.click(xx) - t = random.randint(40,80) / 100 - time.sleep(t) - else: - pass - continue - - for i in ['ying','jiangli','jixu']: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('领取奖励') - xy = action.cheat(pts[0], w, h-10 ) - pyautogui.click(xy) - t = random.randint(15,30) / 100 - time.sleep(t) - break - -######################################################## -#单人探索 -def solo(): - while True: #直到取消,或者出错 - if pyautogui.position()[0] >= pyautogui.size()[0] * 0.98: - select_mode() - - screen = ImageGrab.grab() - screen.save('screen.jpg') - screen = cv2.imread('screen.jpg') - - #截屏,并裁剪以加速 - upleft = (0, 0) - downright = (1358, 768) - downright2 = (2550, 768) - - a,b = upleft - c,d = downright - screen = screen[b:d,a:c] - - print('screen shot ok',time.ctime()) - - #设定目标,开始查找 - #进入后 - want=imgs['guding'] - - x1 = (785, 606) - x2 = downright - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('正在地图中') - - want = imgs['left'] - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - right = (854, 527) - right = action.cheat(right, 10, 10) - pyautogui.click(right) - t = random.randint(50,80) / 100 - time.sleep(t) - continue - - want = imgs['jian'] - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('点击小怪') - xx = action.cheat(pts[0], 10, 10) - pyautogui.click(xx) - time.sleep(0.5) - continue - else: - for i in ['queren', 'tuichu']: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - x1,x2 = upleft, (965, 522) - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('退出中') - try: - queding = pts[1] - except: - queding = pts[0] - queding = action.cheat(queding, w, h) - pyautogui.click(queding) - t = random.randint(50,80) / 100 - time.sleep(t) - break - continue - - for i in ['ying','jiangli','jixu']: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('领取奖励') - xy = action.cheat(pts[0], w, h-10 ) - pyautogui.click(xy) - t = random.randint(15,30) / 100 - time.sleep(t) - break - - want = imgs['tansuo'] - size = want[0].shape - h, w , ___ = size - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('进入地图') - xy = action.cheat(pts[0], w, h-10 ) - pyautogui.click(xy) - t = random.randint(15,30) / 100 - time.sleep(t) - -#################################################### -if __name__ == '__main__': - select_mode() - diff --git a/yys_adb.py b/yys_adb.py deleted file mode 100644 index e1c240e..0000000 --- a/yys_adb.py +++ /dev/null @@ -1,309 +0,0 @@ -import cv2,numpy,time,random -import os,sys,traceback -from PIL import ImageGrab -import action_adb as action - -# 读取文件 精度控制 显示名字 -imgs = action.load_imgs() - - -start_time = time.time() -print('程序启动,现在时间', time.ctime()) - - -#以上启动,载入设置 -########################################################## - -def log(f): - def wrap(*agrs, **kwagrs): - try: - ans = f(*agrs, **kwagrs) - return ans - except: - traceback.print_exc() - time.sleep(60) - - return wrap - -@log -def select_mode(): - print('''\n菜单: 鼠标移动到最右侧中止并返回菜单页面, - 1 结界自动合卡,自动选择前三张合成 - 2 自动通关魂十,自动接受组队并确认通关 - 3 自动通关业原火,单刷 - 4 自动刷组队狗粮(打手模式), - 5 单刷探索副本,无法区分经验BUFF - ''') - action.alarm(1) - raw = input("选择功能模式:") - index = int(raw) - - mode = [0, card, yuhun, yeyuanhuo, goliang, solo] - comand = mode[index] - comand() - -########################################################## -#合成结界卡,较简单,未偏移直接点 -def card(): - while True: - x, y, z = (370, 238), (384, 385), (391, 525) #前三张卡的位置 - zz = (871, 615) #合成按钮位置 - for i in [x, y, z ,zz]: - pyautogui.click(i) - time.sleep(0.1) - time.sleep(0.5) - - -######################################################## -#魂十通关 -def yuhun(): - while True : - screen = action.screen_shot() - screen = cv2.imread('screen.jpg') - - #截屏,并裁剪以加速 - upleft = (0, 0) - downright = (2550, 770) - print('screen shot ok',time.ctime()) - - #设定目标,开始查找 - #这里是自动接受组队 - for i in ['jieshou2',"jieshou"]: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - x1,x2 = upleft, (430, 358) - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('接受组队') - xx = pts[0] - xx = action.cheat(xx, w, h) - if xx[0] > 120: - action.touch(xx) - action.wait() - break - else: - pass - continue - - #自动点击通关结束后的页面 - for i in ['ying','jiangli','kaishi','jixu' ]: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - for pt in pts: - pt = action.cheat(pt, w, h) - action.touch(pt) - action.wait(0.15, 0.3) - break - select_mode() - -######################################################## -#业原火通关 -def yeyuanhuo(): - while True : #直到取消,或者出错 - screen = action.screen_shot() - screen = cv2.imread('screen.jpg') - - #截屏,并裁剪以加速 - upleft = (0, 0) - downright = (1426, 798) - print('screen shot ok',time.ctime()) - - #设定目标,开始查找 - - #过关 - for i in ['ying','jiangli','tiaozhan','jixu']: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - for pt in pts: - pt = action.cheat(pt, w, h) - action.touch(pt) - action.wait() - break - -######################################################## -#狗粮通关 -def goliang(): - while True: #直到取消,或者出错 - screen = action.screen_shot() - screen = cv2.imread('screen.jpg') - - #截屏,并裁剪以加速 - upleft = (0, 0) - downright = (1358, 768) - downright2 = (2550, 768) - print('screen shot ok',time.ctime()) - - #设定目标,开始查找 - #进入后 - want=imgs['guding'] - - x1 = (785, 606) - x2 = downright - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('正在地图中') - - want = imgs['xiao'] - x1,x2 = (5, 405), (119, 560) - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('组队状态中') - else: - print('退出重新组队') - - for i in ['queren', 'tuichu']: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - x1,x2 = upleft, (965, 522) - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('退出中') - try: - queding = pts[1] - except: - queding = pts[0] - queding = action.cheat(queding, w, h) - action.touch(queding) - action.wait() - break - continue - - want = imgs['jieshou'] - size = want[0].shape - h, w , ___ = size - x1,x2 = upleft, (250, 380) - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('接受组队') - xx = pts[0] - xx = action.cheat(xx, w, h) - if xx[0] > 120: - action.touch(xx) - action.wait() - else: - pass - continue - - for i in ['ying','jiangli','jixu']: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('领取奖励') - xy = action.cheat(pts[0], w, h-10 ) - action.touch(xy) - action.wait() - break - -######################################################## -#单人探索 -def solo(): - while True: #直到取消,或者出错 - screen = action.screen_shot() - screen = cv2.imread('screen.jpg') - - #截屏,并裁剪以加速 - upleft = (0, 0) - downright = (1358, 768) - downright2 = (2550, 768) - print('screen shot ok',time.ctime()) - - #设定目标,开始查找 - #进入后 - want = imgs['guding'] - - x1 = (785, 606) - x2 = downright - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('正在地图中') - - want = imgs['left'] - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - right = (854, 527) - right = action.cheat(right, 10, 10) - action.touch(right) - action.wait() - continue - - want = imgs['jian'] - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('点击小怪') - xx = action.cheat(pts[0], 10, 10) - action.touch(xx) - time.sleep(0.5) - continue - else: - for i in ['queren', 'tuichu']: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - x1,x2 = upleft, (965, 522) - target = action.cut(screen, x1, x2) - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('退出中') - try: - queding = pts[1] - except: - queding = pts[0] - queding = action.cheat(queding, w, h) - action.touch(queding) - action.wait() - break - continue - - for i in ['ying','jiangli','jixu']: - want = imgs[i] - size = want[0].shape - h, w , ___ = size - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('领取奖励') - xy = action.cheat(pts[0], w, h-10 ) - action.touch(xy) - action.wait() - break - - want = imgs['tansuo'] - size = want[0].shape - h, w , ___ = size - target = screen - pts = action.locate(target,want,0) - if not len(pts) == 0: - print('进入地图') - xy = action.cheat(pts[0], w, h-10 ) - action.touch(xy) - action.wait() - -#################################################### - - - - -if __name__ == '__main__': - select_mode() - From c7bcacb6d0a9eacdbdd92f21b00d37abbcf2fb4f Mon Sep 17 00:00:00 2001 From: the_ash_of_time <63397520@qq.com> Date: Sun, 21 Mar 2021 19:50:42 +0800 Subject: [PATCH 02/13] Update README.md --- README.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 747ded0..bf94501 100644 --- a/README.md +++ b/README.md @@ -5,8 +5,12 @@ 目标是遇到相似的游戏时能10分钟内迅速写出一个能用脚本来。 还是一样包含桌面版和ADB版两个版本,分别用的明日方舟和阴阳师写了个例子。 -主要目的是提供封装好的API供大家使用,所以例子写得比较简单只写了开始结束的自动点击和战斗中的判断。 -剩下的比如体力不足、接受或拒绝组队之类的细节大家自行添加。 +主要目的是提供封装好的API供大家使用,而不是提供现成产品,所以例子写得比较简单只写了开始结束的自动点击和战斗中的判断。 +剩下的比如体力不足、接受或拒绝组队之类的细节大家自行添加。~~其实主要是我懒。~~ + +补充:我不是专业程序员github不经常上,~~加上人懒~~阴阳师也半弃了所以不常更新。 +有需要探讨交流的可以加我V信anywhere2go,可以交流思路,要手把手帮改代码的就别来了。 +另外刚看到lisai9093那边有添加了更多丰富功能并长期更新至今的,欢迎大家移步使用[传送门](https://github.com/lisai9093/YYS) ## 自动游戏挂机辅助 * 通用手游自动挂机脚本,解放双手,功能同阴阳师手游内自带的小纸人挂机系统类似,等于不受樱饼限制无限使用的小纸人~ From 4c0641fb1d8157bb741776eaa19fe789c44fef1b Mon Sep 17 00:00:00 2001 From: the_ash_of_time <63397520@qq.com> Date: Sun, 21 Mar 2021 19:53:16 +0800 Subject: [PATCH 03/13] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index bf94501..ec58b55 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ 补充:我不是专业程序员github不经常上,~~加上人懒~~阴阳师也半弃了所以不常更新。 有需要探讨交流的可以加我V信anywhere2go,可以交流思路,要手把手帮改代码的就别来了。 -另外刚看到lisai9093那边有添加了更多丰富功能并长期更新至今的,欢迎大家移步使用[传送门](https://github.com/lisai9093/YYS) +**另外刚看到lisai9093那边有添加了更多丰富功能并长期更新至今的完整版,欢迎大家移步使用[传送门](https://github.com/lisai9093/YYS)** ## 自动游戏挂机辅助 * 通用手游自动挂机脚本,解放双手,功能同阴阳师手游内自带的小纸人挂机系统类似,等于不受樱饼限制无限使用的小纸人~ From a4d0367c7647ae43833af5d0f9552657f0348b59 Mon Sep 17 00:00:00 2001 From: = <=> Date: Wed, 29 Mar 2023 16:42:30 +0800 Subject: [PATCH 04/13] =?UTF-8?q?=E6=B7=BB=E5=8A=A0OCR?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 99 +++--- auto_ocr_player.py | 62 ++++ auto_player.py | 358 +++++++++++----------- demo_azure.py | 29 ++ demo_yys.py | 15 + example_adb_arknights.py | 79 ----- example_desktop_YYS.py | 53 ---- ocr_result/ndarray_1680029839.877346.jpg | Bin 0 -> 109397 bytes ocr_result/ndarray_1680029868.72579.jpg | Bin 0 -> 168512 bytes ocr_result/ndarray_1680029934.6933987.jpg | Bin 0 -> 152106 bytes ocr_result/ndarray_1680030221.7351825.jpg | Bin 0 -> 154430 bytes ocr_result/ndarray_1680030278.348946.jpg | Bin 0 -> 82510 bytes ocr_result/ndarray_1680030338.2135785.jpg | Bin 0 -> 109083 bytes screen/screen.jpg | Bin 402992 -> 1267441 bytes settings.py | 11 - wanted/exp.jpg | Bin 3287 -> 0 bytes wanted/exp_yys.jpg | Bin 7633 -> 0 bytes wanted/going.jpg | Bin 5331 -> 0 bytes wanted/going_yys.jpg | Bin 2127 -> 0 bytes wanted/lv.jpg | Bin 8730 -> 0 bytes wanted/start1.jpg | Bin 4785 -> 0 bytes wanted/start2.jpg | Bin 15084 -> 0 bytes wanted/start_yys.jpg | Bin 2584 -> 0 bytes wanted/yes.jpg | Bin 2501 -> 0 bytes wanted/yys_jixu.jpg | Bin 0 -> 3131 bytes wanted/yys_tiaozhan.jpg | Bin 0 -> 2265 bytes 26 files changed, 341 insertions(+), 365 deletions(-) create mode 100644 auto_ocr_player.py create mode 100644 demo_azure.py create mode 100644 demo_yys.py delete mode 100644 example_adb_arknights.py delete mode 100644 example_desktop_YYS.py create mode 100644 ocr_result/ndarray_1680029839.877346.jpg create mode 100644 ocr_result/ndarray_1680029868.72579.jpg create mode 100644 ocr_result/ndarray_1680029934.6933987.jpg create mode 100644 ocr_result/ndarray_1680030221.7351825.jpg create mode 100644 ocr_result/ndarray_1680030278.348946.jpg create mode 100644 ocr_result/ndarray_1680030338.2135785.jpg delete mode 100644 settings.py delete mode 100644 wanted/exp.jpg delete mode 100644 wanted/exp_yys.jpg delete mode 100644 wanted/going.jpg delete mode 100644 wanted/going_yys.jpg delete mode 100644 wanted/lv.jpg delete mode 100644 wanted/start1.jpg delete mode 100644 wanted/start2.jpg delete mode 100644 wanted/start_yys.jpg delete mode 100644 wanted/yes.jpg create mode 100644 wanted/yys_jixu.jpg create mode 100644 wanted/yys_tiaozhan.jpg diff --git a/README.md b/README.md index ec58b55..4fa5222 100644 --- a/README.md +++ b/README.md @@ -1,16 +1,25 @@ +### 2023.03.29再次分享 + +主要是补充一个自己在用的OCR版本,继承了原来的截屏、点击等功能,匹配功能从opencv的图像匹配换成了OCR文字识别,**不用一个个图标截图了,推荐使用**,实现了同样的寻找、点击功能,同样提供模式与ADB模式。OCR采用的是百度家的paddlepaddle深度学习框架,超轻量模型chinese_ocr_db_crnn_mobile,识别速度感觉跟图像匹配差不多挺快的。有需要的可以自己换大模型提高精确度。[百度OCR模型使用教程点这里](https://aistudio.baidu.com/aistudio/projectdetail/507159?channelType=0&channel=0) + +ORC版本优点:更加通用方便。比图片匹配用起来起来更方便,不用截按钮小图标,直接输入目标上的文字。 不受分辨率导致的按钮大小、UI更新导致的外观变化影响。 +ORC版本缺点:有些场景的图标可能是没有文字内容的,或有的字体不太标准变形重复影响识别,不过整体识别率还是很高的,够用。 + +另外把原版从方法函数式改成了面向对象的类,设置更方便一点,实例化的时候直接设置精度和模式。 + + ### 2021.03.21更新 两年前随便写的一个小脚本居然骗到100个星了,感觉十分惭愧对不起大家厚爱。 -正好我现在弄另一个类似游戏的脚本,于是就结合了现用的脚本,重新封装整理出一个通用的框架。 -目标是遇到相似的游戏时能10分钟内迅速写出一个能用脚本来。 +正好我现在弄另一个类似游戏的脚本,于是就结合了现用的脚本,重新封装整理出一个通用的框架。目标是遇到相似的游戏时能10分钟内迅速写出一个能用脚本来。 -还是一样包含桌面版和ADB版两个版本,分别用的明日方舟和阴阳师写了个例子。 +还是一样包含桌面版和ADB版两个版本,分别用的碧蓝航线和阴阳师写了个例子。 主要目的是提供封装好的API供大家使用,而不是提供现成产品,所以例子写得比较简单只写了开始结束的自动点击和战斗中的判断。 剩下的比如体力不足、接受或拒绝组队之类的细节大家自行添加。~~其实主要是我懒。~~ -补充:我不是专业程序员github不经常上,~~加上人懒~~阴阳师也半弃了所以不常更新。 +补充:我不是专业程序员github不经常上,阴阳师也半弃了所以不常更新。 有需要探讨交流的可以加我V信anywhere2go,可以交流思路,要手把手帮改代码的就别来了。 -**另外刚看到lisai9093那边有添加了更多丰富功能并长期更新至今的完整版,欢迎大家移步使用[传送门](https://github.com/lisai9093/YYS)** +**另外刚看到lisai9093那边有添加了更多丰富功能并长期更新至今的完整版,欢迎大家移步使用[点击传送门](https://github.com/lisai9093/YYS)** ## 自动游戏挂机辅助 * 通用手游自动挂机脚本,解放双手,功能同阴阳师手游内自带的小纸人挂机系统类似,等于不受樱饼限制无限使用的小纸人~ @@ -18,56 +27,64 @@ * 适用阴阳师、明日方舟、碧蓝航线等能自动战斗只要手动点开始结束的游戏。不适用王者荣耀等需要大量操作的游戏. ## 核心思路: -* 通过截屏和图片识别的方法判断当前游戏场景,找到需要点击的位置(用的opencv) +* 截屏,然后图片识别的方法判断当前游戏场景,找到需要点击的位置(原版用的opencv图片匹配,OCR版本用的深度学习文字识别) * 使用随机位置偏移与随机操作延迟防检测 -* 桌面版本:电脑截屏,鼠标点击(用的pyautogui,可以用于电脑客户端或模拟器) -* ADB版本: 电脑向手机发送ADB命令截屏和点击(可以用连接真实手机或模板器) +* 桌面模式:电脑截屏,鼠标点击(用的pyautogui,可以用于电脑客户端或模拟器) +* ADB模式: 电脑向手机发送ADB命令进行截屏和点击(可以用连接真实手机或模板器) ## 使用说明: -setting.py是设置文件,里面mode=1就是桌面模式,mode设置为0就是ADB模式。默认1。 +### 前置条件: +#### 安装包依赖: +* 原版:python-opencv, pyautogui, pillow, numpy +* OCR版增加:paddlehub, paddlepaddle, shapely, pyclipper +#### 其它 +* adb连接:需要修改auto_player.py里面的adb路径,其它可以不改。桌面模式不用改动。 +* 原版图片匹配:需要先把要查找的目标图标保存wanted文件夹,jpg格式,否则会出现keyError错误。 OCR版本不用。 + +### 文件: wanted文件夹是要查找的目标图标,比如开始按键确认按键等截图保存到这里,文件后缀为.jpg。 screen文件夹是用来自动可在当前截屏的。 -auto_player.py是主体文件,导入后就可以使用下面两个API。 -example_adb_arknights.py是ADB模式的明日方舟脚本,用的自己手机,明日方舟所有地图开始结束界面都一样,超简单。 -example_desktop_YYS.py是桌面模式的阴阳师挂机脚本,用的官方客户端,只写了一个简单的单人御魂模式,供大家参考。 - -### find_touch(target, tap=True)。 -* 功能:截屏,查找target图标在截屏上的位置,并点击所在位置 -* 传入参数target:string,查找的图标文件名,比如target='start',则会查找wanted文件夹里的start.jpg图标所在位置并点击 -* 传入参数tap:bool,是找到后是否点击,True是找到并点击。False是只查找不点击。因为这类游戏都是只要开始和结束时点击,中间有些图标是判断它正在自动战斗中的,不需要点击。 -* 返回参数:找到了返回True, 未找到返回False - -### find_touch_any(target_list, tap=True)。 -* 功能:截屏,查找target_list列表图标在截屏上的位置,找到任意一个就会中断查找并点击所在位置。就是上面那个的批量处理版本,一次截屏查找多个目标。 -* 传入参数target_list:string list,查找的图标文件名列表, 比如target=['start', 'end'], 则会查找wanted文件夹里的start.jpg图标和end.jpg图标所在位置,按顺序查找,只会点击最先找到的那个。 -* 传入参数tap:同上 -* 返回参数:找到了则返回找到的图标名称, 未找到返回None +auto_player.py是原版文件,导入后就可以使用下面两个API。 +auto_ocr_player是以原版为基础新增加的OCR版本,具有同样的API。 +demo_yys.py是阴阳师挂机脚本,只写了一个简单的单人御魂模式,供大家参考。 +demo_azuer.py是碧蓝航线,是我自己在用的,实现了一些更复杂一点的功能。 + +### find_touch(target_list, area=None) +* 功能:截屏,并查找列表上图标在截屏上的位置,然后点击所在位置。注意这个有优先级顺序的,找到点击了一个,就直接返回,不会再点击后面的。 +* 必选参数target_list:string list,查找的图标文件名列表,例如target=['start', 'end', ],则会查找wanted文件夹里的start.jpg图标和end.jpg图标所在位置并点击。 +* 可选参数area: int list, 搜索区域,长度为4 范围0-100, 例如area=[h1, h2, w1, w2],则只会在屏幕高度h1%到h2% ,宽度w1%到w2% 的这个范围里搜索,缩小范围可以加快搜索速度。可以不填,全屏搜索,影响不大。 +* 返回参数:string 或 bool 返回找到并点击的那个图标的name,都没找到则False。 + +### exist(target_list, area=None) +* 功能:截屏,查找target_list列表图标在截屏上的位置,不会点击,每个目标都会查找。因为很多游戏都是只要开始和结束时点击,中间有些图标是判断在哪个场景的,不需要点击。 +* * 必选参数target_list:string list,查找的图标文件名列表,例如target=['start', 'end', ],则会查找wanted文件夹里的start.jpg图标和end.jpg图标所在位置。 +* 可选参数area: int list, 搜索区域,长度为4 范围0-100, 例如area=[h1, h2, w1, w2],则只会在屏幕高度h1%到h2% ,宽度w1%到w2% 的这个范围里搜索,缩小范围可以加快搜索速度。可以不填,全屏搜索,影响不大。 +* 返回参数:bool list, 输入[name1,name2...], 返回[name1_result, name2_result...] ### 代码示例: - import auto_player as player - - #在当前屏幕寻找start.jpg图标的位置并点击 - player.find_touch("start") - - #判断当前屏幕是否有start.jpg图标,只返回判断结果但不点击 - player.find_touch("start", tap=False) - - #在当前屏幕寻找start.jpg图标或end.jpg,找到其中任意一个就会点击并返回 - player.find_touch_any(["start", "end"]) + from auto_player import Player + from auto_ocr_player import OCR_Player - #判断当前屏幕是否有start.jpg图标或end.jpg,只返回第一个找到的图标名,未找到则返回None - player.find_touch_any(["start", "end"], tap=False) + #OCR文字识别 + 桌面模式 + #在屏幕上查找文字内容'挑战'或'点击屏幕继续',找到哪个按哪个。 + #关键词's挑战'加前缀s表示只找内容严格等于'挑战'的,不加表示任意包含'挑战'的。 + myplayer = OCR_Player(accuracy=0.6, adb_mode=True) + myplayer.find_touch(['s挑战', '点击屏幕继续']) - #以上代码需要你先把开始按键、结算按键保存wanted文件夹并命名为start.jpg、end.jpg,否则会出现keyError错误 + #CV图像匹配 + ADB模式 + #在屏幕上对yys_tiaozhan.jpg和yys_jixu.jpg这两个图标顺序查找,找到哪个按哪个 + myplayer = Player(accuracy=0.8, adb_mode=True) + myplayer.find_touch(['yys_tiaozhan', 'yys_jixu']) ## 常见问题 * 注意文件路径不要有中文,否则会导致opencv读取图片失败,出现无法读取NoneType的Shape之类的错误 -* 桌面版本是是截屏识别所以游戏窗口需要在前台不能被遮挡。 -* 桌面版本如果找到了目标且鼠标移动了,却没有点击,大概率是权限问题。用管理员权限打开CMD来运行程序即可。 +* 桌面版本是是电脑截屏识别,所以游戏窗口需要在前台,不能被遮挡。 +* 桌面版本如果找到了目标且鼠标移动了,却没有点击生效,大概率是权限问题。用管理员权限打开CMD来运行程序即可。 * ADB版本可以后台控制不怕遮挡,但是需要等手机截屏传输到电脑,传文件过程较慢且有极小概率出错卡死 -* 果运行没有提示错误,但是一直匹配失败找不到,多半是图标精度问题,重新截取要找的图标 -* ADB版本效率稍低但可以后台运行,不影响用电脑正常使用,我自己平常用的比较多。桌面版效率高,据反馈有概率被抓,可能是速度太快了或者游戏客户端带了检测。 +* 如果运行没有提示错误,但是一直匹配失败找不到,多半是图标精度问题,重新截取要找的图标 +* 推荐使用OCR版本,不用截图标,不受分辨率影响。 +* ADB模式效率稍低但可以后台运行,不影响用电脑正常使用,我自己平常用的比较多。桌面模式效率高,据反馈有概率被抓,可能是速度太快了或者游戏客户端带了检测。 * 脚本纯属爱好与分享,欢迎一起交流,但不提供售后服务 ## 补充说明 diff --git a/auto_ocr_player.py b/auto_ocr_player.py new file mode 100644 index 0000000..5ce5883 --- /dev/null +++ b/auto_ocr_player.py @@ -0,0 +1,62 @@ +# coding: utf-8 +from auto_player import Player +import paddlehub as hub + +class OCR_Player(Player): + """docstring for OCR_player""" + def __init__(self, accuracy=0.6, adb_mode=False, adb_num=0): + super(OCR_Player, self).__init__(accuracy, adb_mode, adb_num) + self.ocr = hub.Module(name="chinese_ocr_db_crnn_mobile", enable_mkldnn=True) + self.accuracy = accuracy + + def read(self, debug=False): + screen = self.screen_shot() + imgs = [screen,] + results = self.ocr.recognize_text( + images=imgs, # 图片数据,ndarray.shape 为 [H, W, C],BGR格式; + use_gpu=False, # 是否使用 GPU;若使用GPU,请先设置CUDA_VISIBLE_DEVICES环境变量 + output_dir='ocr_result', # 图片的保存路径,默认设为 ocr_result; + visualization=debug, # 是否将识别结果保存为图片文件; + box_thresh=self.accuracy, # 检测文本框置信度的阈值; + text_thresh=self.accuracy) # 识别中文文本置信度的阈值; + data = results[0]['data'] + return data + + def find_touch(self, key_list, debug=False): + data = self.read(debug) + key_list = [key_list,]if type(key_list) == str else key_list + re = False + for key in key_list: + if key[0] == 's': + key = key[1:] + found = [e for e in data if key == e['text']] + else: + found = [e for e in data if key in e['text']] + msg = f'目标:{key}, 找到数量:{len(found)}' + print(msg) + if found: + p1, _, p2, _ = found[0]['text_box_position'] + (x1, y1), (x2, y2) = p1, p2 + center = (int((x1+x2)/2), int((y1+y2)/2)) + self.touch(center) + re = key + break + return re + + def exist(self, key_list, debug=False): + data = self.read(debug) + key_list = [key_list,]if type(key_list) == str else key_list + re = [] + for key in key_list: + if key[0] == 's': + key = key[1:] + found = [e for e in data if key == e['text']] + else: + found = [e for e in data if key in e['text']] + msg = f'目标:{key}, 找到数量:{len(found)}' + re.append(len(found)) + re = re[0] if len(re) == 1 else re + return re + + + diff --git a/auto_player.py b/auto_player.py index 60bb43c..592f6a8 100644 --- a/auto_player.py +++ b/auto_player.py @@ -1,186 +1,182 @@ -import cv2, numpy,time, os, random, threading -import pyautogui -from winsound import Beep +import time, os, random, threading +import cv2, numpy, pyautogui from PIL import ImageGrab -from settings import * #桌面模式下的鼠标操作延迟,程序已经设置随机延迟这里无需设置修改 -pyautogui.PAUSE = 0.01 - - -#adb模式下设置连接测试 -def adb_test(): - if mode == 1: - return - raw_content = os.popen('adb devices').read() - row_list = raw_content.split('List of devices attached\n')[1].split('\n') - devices_list = [i for i in row_list if len(i) > 1] - print(raw_content) - devices_count = len(devices_list) - assert devices_count > 0, 'adb连接设备数量为 ' + devices_count - - -#超时3秒未完成则重试,传输图片时有极小概率卡死 -def time_out(func): - def wrap_func(*args,**kwargs): - restart = lambda : func(*args,**kwargs) - timer = threading.Timer(3, restart) - timer.start() - func(*args,**kwargs) - timer.cancel() - return wrap_func - -#匹配图片时小概率出错,一般是图片传输时损坏,重新截图匹配 -def retry(func): - def wrap_func(*args,**kwargs): - try: - re = func(*args,**kwargs) - except: - print("图片匹配错误,稍后重试") - time.sleep(3) - re = func(*args,**kwargs) +pyautogui.PAUSE = 0.001 +cwd = __file__.replace('auto_player.py', '') #当前文件目录 +wanted_path = f'{cwd}\\wanted' #目标图片目录 +#上面都不用改,下面是adb.exe文件所在路径要改, +#如果你已经加入系统PATH环境,就直接adb = 'adb',我的没加。 只用桌面模式话不用管 +adb = 'd: && cd \\mysys\\Nox\\bin\\ && nox_adb.exe' #ADB文件路径 +nxfd = 'C:\\Users\\Administrator\\Nox_share\\ImageShare' #模拟器共享文件路径 + +class Player(object): + """docstring for Player""" + # accuracy 匹配精准度 0~1 #adb_mode开启ADB模式 #adb_num连接第几台ADB设备 + def __init__(self, accuracy=0.8, adb_mode=False, adb_num=0): + super(Player, self).__init__() + self.accuracy = accuracy + self.adb_mode = adb_mode + self.load_target() + if self.adb_mode: + re = os.popen(f'{adb} devices').read() + print(re) + device_list = [e.split('\t')[0] for e in re.split('\n') if '\tdevice' in e] + assert len(device_list) >= 1, '未检测到ADB连接设备' + self.device = device_list[adb_num] + re = os.popen(f'{adb} -s {self.device} shell wm size').read() + print(re) + else: + w, h = pyautogui.size() + print(f'Physical size: {w}x{h}') + + #读取要查找的目标图片,名称为文件名 + #返回字典{name1:[cv2_image1, name1], name2:...} + def load_target(self): + target_map = {} + path = wanted_path + file_list = os.listdir(path) + for file in file_list: + name = file.split('.')[0] + file_path = path + '/' + file + content = [ cv2.imread(file_path) , name] + target_map[name] = content + print(target_map.keys()) + self.target_map = target_map + return target_map + + #截屏并发送到目录./screen, 默认返回cv2读取后的图片 + def screen_shot(self, name='screen'): + if self.adb_mode: + a = f'{adb} -s {self.device} shell screencap -p sdcard/Pictures/{name}.jpg' + b = f'{adb} -s {self.device} pull sdcard/Pictures/{name}.jpg {cwd}\\screen' + for cmd in [a, b]: + os.system(cmd) + time.sleep(0.02) + screen = cv2.imread(f'{cwd}\\screen\\{name}.jpg') + #screen = cv2.imread(f'{nxfd}\\{name}.jpg') + #大部分模拟器截图自动同步到共享文件夹 其实不用PULL的 + else: + screen = ImageGrab.grab() + if name != 'screen': #非默认情况才保存硬盘 否则直接读取内存文件 + screen.save(f'{cwd}\\screen\\{name}.jpg') + screen = cv2.cvtColor(numpy.array(screen),cv2.COLOR_RGB2BGR) + print('截图已完成 ', time.ctime()) + self.screen = screen + return self.screen + + #随机位置偏移,默认左右5个像素 + def random_offset(self, position, range=5): + x, y = position + x += random.randint(-range, range) + y += random.randint(-range, range) + return (x, y) + + # ADB命令模拟点击屏幕,参数pos为目标坐标(x, y), 自带随机偏移 + # 或pyautogui鼠标点击,带偏移与延迟 + def touch(self, position): + x, y = self.random_offset(position) + if self.adb_mode: #手机点击 + cmd = f'{adb} -s {self.device} shell input touchscreen tap {x} {y}' + os.system(cmd) + else: #电脑点击 + origin = pyautogui.position() + dt = random.uniform(0.01, 0.02) + pyautogui.moveTo(x, y, duration=dt) + pyautogui.mouseDown(button='left') + time.sleep(dt) #有的游戏就是不能识别click,但是可以down加up,很奇怪 + pyautogui.mouseUp(button='left') + pyautogui.moveTo(*origin, duration=dt) + + #拖动或长按 + def drag(self, position_start, end, second=0.2): + sx, sy = random_offset(position_start) + ex, ey = random_offset(end) + if self.adb_mode: + cmd = f'{adb} -s {self.device} shell input touchscreen swipe {sx} {sy} {ex} {ey}' + os.system(cmd) + else: + origin = pyautogui.position() #记录原位,点完返回 + dt = random.uniform(0.01, 0.02) + pyautogui.moveTo(sx, sy, duration=dt) + pyautogui.dragTo(ex, ey, duration=second+dt) + pyautogui.moveTo(*origin, duration=dt) + + #在图上标记位置p1左上,p2右下 + def mark(self, background, p1, p2): + cv2.rectangle(background, p1, p2, (0, 0, 255), 3) + + #核心功能, 在background大图片上定位target_name对应的小图片位置 + #debug开启则会以图片形式显示查找结果 + def locate(self, background, target_name, debug=0): + loc_pos = [] + target, c_name = self.target_map[target_name] + h, w, _ = target.shape + result = cv2.matchTemplate(background, target, cv2.TM_CCOEFF_NORMED) + location = numpy.where(result >= self.accuracy) + dis = lambda a, b: ((a[0]-b[0])**2 + (a[1]-b[1])**2) **0.5 #计算两点距离 + for y, x in zip(*location): + center = x + int(w/2), y + int(h/2) + if loc_pos and dis(loc_pos[-1], center) < 20: #忽略邻近重复的点 + continue + else: + loc_pos.append(center) + p2 = x + w, y + h + self.mark(background, (x, y), p2) + + if debug: #在图上显示寻找的结果,调试时开启 + cv2.imshow(f'result for {target_name}:', background) + cv2.waitKey(0) + cv2.destroyAllWindows() + res = len(loc_pos) + msg = f'查找结果:{c_name} 匹配到 {res} 个位置' + print(msg) + return loc_pos + + + #裁剪Img以加速检测, area[h1,h2,w1,w2]为高宽范围百分比 + #选中区域为高h1%到h2% 宽w1%到w2%,返回裁剪后图片与左上角位置 + def cut(self, img, area=[0, 50, 0, 50]): + h1, h2, w1, w2 = [e/100 for e in area] + h, w, c = img.shape + h1, h2 = int(h*h1), int(h*h2) + w1, w2 = int(w*w1), int(w*w2) + small = img[h1:h2, w1:w2, :] + start = [w1, h1] + return small, start + + #判断name_list中哪些目标存在,但不点击,全部目标遍历,返回同长度真假列表 + #输入[name1,name2...]返回[name1_result, name2_result...] + def exist(self, name_list, area=None): + background = self.screen_shot() + if area: + background, start = self.cut(background, area) + re = [] + name_list = name_list if type(name_list) == list else [name_list,] + for name in name_list: + loc_pos = self.locate(background, name) + cur = len(loc_pos) > 0 + re.append(cur) + re = re[0] if len(re) == 1 else re return re - return wrap_func - -#截屏并发送到目录./screen, 默认返回cv2读取后的图片 -def screen_shot(): - if mode == 0: #adb截屏并传输文件 - a = "adb shell screencap -p sdcard/screen.jpg" - b = "adb pull sdcard/screen.jpg ./screen" - for row in [a, b]: - time.sleep(0.1) - os.system(row) - else: #桌面截屏 - screen = ImageGrab.grab() - screen.save('./screen/screen.jpg') - print('截图已完成 ', time.ctime()) - screen = cv2.imread('./screen/screen.jpg') - return screen - -# ADB命令模拟点击屏幕,参数pos为目标坐标(x, y) -def touch(pos): - x, y = pos - if mode == 0: #adb点击 - a = "adb shell input touchscreen tap {0} {1}" .format(x, y) - os.system(a) - else: #桌面鼠标点击 - pyautogui.moveTo(x, y) - pyautogui.click(x, y) - -#蜂鸣报警器,参数n为鸣叫次数,可用于提醒出错或任务完成 -def alarm(n=3): - frequency = 1500 - last = 500 - for n in range(n): - Beep(frequency,last) - time.sleep(0.05) - -#按【cv2读取文件内容,匹配精度,图片名称】格式批量读取要查找的目标图片,名称为文件名 -def load_imgs(): - imgs = {} - treshold = accuracy - path = wanted_path - file_list = os.listdir(path) - - for file in file_list: - name = file.split('.')[0] - file_path = path + '/' + file - a = [ cv2.imread(file_path) , treshold, name] - imgs[name] = a - return imgs -imgs = load_imgs() - - #在背景查找目标图片,以列表形式返回查找目标的中心坐标, - #screen是截屏图片,wanted是找的图片【按上面load_imgs的格式】,show是否以图片形式显示匹配结果【调试用】 -def locate(screen, wanted, show=0): - loc_pos = [] - wanted, treshold, c_name = wanted - result = cv2.matchTemplate(screen, wanted, cv2.TM_CCOEFF_NORMED) - location = numpy.where(result >= treshold) - - h,w = wanted.shape[:-1] - - n,ex,ey = 1,0,0 - for pt in zip(*location[::-1]): - x,y = pt[0] + int(w/2), pt[1] + int(h/2) - if (x-ex) + (y-ey) < 15: #去掉邻近重复的点 - continue - ex,ey = x,y - - cv2.circle(screen, (x, y), 10, (0, 0, 255), 3) - - x,y = int(x), int(y) - loc_pos.append([x, y]) - - if show: #在图上显示寻找的结果,调试时开启 - cv2.imshow('we get', screen) - cv2.waitKey(0) - cv2.destroyAllWindows() - - return loc_pos - -#裁剪图片以缩小匹配范围,screen为原图内容,upleft、downright是目标区域的左上角、右下角坐标 -def cut(screen, upleft, downright): - a,b = upleft - c,d = downright - screen = screen[b:d,a:c] - return screen - -#随机偏移坐标,防止游戏的外挂检测。p是原坐标(x, y),w、n是目标图像宽高,返回目标范围内的一个随机坐标 -def random_offset(p, w=40, h=20): - a,b = p - w, h = int(w/3), int(h/3) - c,d = random.randint(-w, w),random.randint(-h, h) - e,f = a + c, b + d - y = [e, f] - return(y) - -#随机延迟点击,防止游戏外挂检测,延迟时间范围为【x, y】秒之间 -def random_delay(x=0.1, y=0.2): - t = random.uniform(x, y) - time.sleep(t) - - -#寻找并点击, tap为FALSE则只寻找不点击,返回结果是否找到TURE/FALSE -def find_touch(target, tap=True): - screen = screen_shot() - print('单个目标 ', target) - wanted = imgs[target] - size = wanted[0].shape - h, w , ___ = size - pts = locate(screen, wanted) - if pts: - print('Y 已找到目标 ', target) - xx = pts[0] - xx = random_offset(xx, w, h) - if tap: - touch(xx) - random_delay() - return True - else: - print('N 未找到目标 ', target) - return False - -#寻找并点击,找到返回目标名,未找到返回NONE -def find_touch_any(target_list, tap=True): - screen = screen_shot() - print('目标列表 ', target_list) - re = None - for target in target_list: - wanted = imgs[target] - size = wanted[0].shape - h, w , ___ = size - pts = locate(screen, wanted) - if pts: - print('Y 已找到目标 ', target, '位置 ', pts[0]) - xx = pts[0] - xx = random_offset(xx, w, h) - if tap: - touch(xx) - random_delay() - re = target - break - else: - print('N 未找到目标', target) - return re + #寻找name_list中的目标,并点击第一个找到的目标,然后中止 + #注意有优先级顺序,找到了前面的就不会再找后面的 + #只返回第一个找到并点击的name,都没找到返回false + def find_touch(self, name_list, area=None): + background = self.screen_shot() + if area: + background, start = self.cut(background, area) + re = False + name_list = name_list if type(name_list) == list else [name_list,] + for name in name_list: + loc_pos = self.locate(background, name) + if len(loc_pos) > 0: + if area: #从裁剪后的坐标还原回裁前的坐标 + loc_pos[0][0] += start[0] + loc_pos[0][1] += start[1] + self.touch(loc_pos[0]) #同一目标多个结果时只点第一个 + re = name + break + return re \ No newline at end of file diff --git a/demo_azure.py b/demo_azure.py new file mode 100644 index 0000000..a2119c0 --- /dev/null +++ b/demo_azure.py @@ -0,0 +1,29 @@ +from auto_ocr_player import OCR_Player +import time + +myplayer = OCR_Player(accuracy=0.6, adb_mode=True) + +tuiyi = ['键退', '确定', '点击继续', '没找到符合条件'] +zhuxian = ['立刻前往', '再次前往', 's整理', '迎击'] +huodong = ['刻前', '北地', '出击', '战斗胜利', '确定'] +yanxi = ["次数不足", '关闭', '开始', '综合实力', '出击', "评价", "功勋", "确定",] + +steps = zhuxian +yx, bd = myplayer.exist(['演习', '北地']) +if yx: + steps = yanxi +elif bd: + steps = huodong + +while 1: + re = myplayer.find_touch(steps) + if re == '次数不足': + break + if re == '整理': + while myplayer.find_touch(tuiyi) != '没找到符合条件': + time.sleep(1) + myplayer.find_touch(['取消',]) + if re == '迎击': + myplayer.find_touch(['自律',]) + time.sleep(3) + time.sleep(1) diff --git a/demo_yys.py b/demo_yys.py new file mode 100644 index 0000000..db02a3e --- /dev/null +++ b/demo_yys.py @@ -0,0 +1,15 @@ +from auto_player import Player +from auto_ocr_player import OCR_Player +import time + +#OCR文字识别 桌面模式(不能遮挡游戏窗口) +myplayer = OCR_Player(accuracy=0.6, adb_mode=True) +while True: + myplayer.find_touch(['s挑战', '点击屏幕继续']) + time.sleep(1) + +#CV图像匹配 ADB模式(确保设备ADB连接成功) +myplayer = Player(accuracy=0.8, adb_mode=True) +while True: + myplayer.find_touch(['yys_tiaozhan', 'yys_jixu']) + time.sleep(1) \ No newline at end of file diff --git a/example_adb_arknights.py b/example_adb_arknights.py deleted file mode 100644 index a5bf74a..0000000 --- a/example_adb_arknights.py +++ /dev/null @@ -1,79 +0,0 @@ -### 2021.03.21更新 - -两年前随便写的一个小脚本居然骗到100个星了,感觉十分惭愧对不起大家厚爱。 -正好我现在弄另一个类似游戏的脚本,于是就结合了现用的脚本,重新封装整理出一个通用的框架。 -目标是遇到相似的游戏时能10分钟内迅速写出一个能用脚本来。 - -还是一样包含桌面版和ADB版两个版本,分别用的明日方舟和阴阳师写了个例子。 -主要目的是提供封装好的API供大家使用,所以例子写得比较简单只写了开始结束的自动点击和战斗中的判断。 -剩下的比如体力不足、接受或拒绝组队之类的细节大家自行添加。 - -## 自动游戏挂机辅助 -* 通用手游自动挂机脚本,解放双手,功能同阴阳师手游内自带的小纸人挂机系统类似,等于不受樱饼限制无限使用的小纸人~ -* 拟人化的识图与模拟点击,不读取或修改游戏内部数据,只是取代手动操作。通过随机偏移点击位置和操作延迟防检测。 -* 适用阴阳师、明日方舟、碧蓝航线等能自动战斗只要手动点开始结束的游戏。不适用王者荣耀等需要大量操作的游戏. - -## 核心思路: -* 通过截屏和图片识别的方法判断当前游戏场景,找到需要点击的位置(用的opencv) -* 使用随机位置偏移与随机操作延迟防检测 -* 桌面版本:电脑截屏,鼠标点击(用的pyautogui,可以用于电脑客户端或模拟器) -* ADB版本: 电脑向手机发送ADB命令截屏和点击(可以用连接真实手机或模板器) - -## 使用说明: - -wanted文件夹是要查找的目标图标,比如开始按键确认按键等截图保存到这里,文件后缀为.jpg。 -screen文件夹是用来自动可在当前截屏的。 -auto_player.py是主体文件,导入后就可以使用下面两个API。 -example_adb_arknights.py是ADB模式的明日方舟脚本,明日方舟所有地图开始结束界面都一样,超简单。 -example_desktop_YYS.py是桌面模式的阴阳师挂机脚本,只写了一个简单的单人御魂模式,供大家参考。 - -### find_touch(target, tap=True)。 -* 功能:截屏,查找target图标在截屏上的位置,并点击所在位置 -* 传入参数target:string,查找的图标文件名,比如target='start',则会查找wanted文件夹里的start.jpg图标所在位置并点击 -* 传入参数tap:bool,是找到后是否点击,True是找到并点击。False是只查找不点击。因为这类游戏都是只要开始和结束时点击,中间有些图标是判断它正在自动战斗中的,不需要点击。 -* 返回参数:找到了返回True, 未找到返回False - -### find_touch_any(target_list, tap=True)。 -* 功能:截屏,查找target_list列表图标在截屏上的位置,找到任意一个就会中断查找并点击所在位置。就是上面那个的批量处理版本,一次截屏查找多个目标。 -* 传入参数target_list:string list,查找的图标文件名列表, 比如target=['start', 'end'], 则会查找wanted文件夹里的start.jpg图标和end.jpg图标所在位置,按顺序查找,只会点击最先找到的那个。 -* 传入参数tap:同上 -* 返回参数:找到了则返回找到的图标名称, 未找到返回None - -### 代码示例: - import auto_player as player - - #在当前屏幕寻找start.jpg图标的位置并点击 - player.find_touch("start") - - #判断当前屏幕是否有start.jpg图标,只返回判断结果但不点击 - player.find_touch("start", tap=False) - - #在当前屏幕寻找start.jpg图标或end.jpg,找到其中任意一个就会点击并返回 - player.find_touch_any(["start", "end"]) - - #判断当前屏幕是否有start.jpg图标或end.jpg,只返回第一个找到的图标名,未找到则返回None - player.find_touch_any(["start", "end"], tap=False) - - #以上代码需要你先把开始按键、结算按键保存wanted文件夹并命名为start.jpg、end.jpg,否则会出现keyError错误 - - -## 常见问题 -* 注意文件路径不要有中文,否则会导致opencv读取图片失败,出现无法读取NoneType的Shape之类的错误 -* 桌面版本是是截屏识别所以游戏窗口需要在前台不能被遮挡。 -* 桌面版本如果找到了目标且鼠标移动了,却没有点击,大概率是权限问题。用管理员权限打开CMD来运行程序即可。 -* ADB版本可以后台控制不怕遮挡,但是需要等手机截屏传输到电脑,传文件过程较慢且有极小概率出错卡死 -* 果运行没有提示错误,但是一直匹配失败找不到,多半是图标精度问题,重新截取要找的图标 -* ADB版本效率稍低但可以后台运行,不影响用电脑正常使用,我自己平常用的比较多。桌面版效率高,据反馈有概率被抓,可能是速度太快了或者游戏客户端带了检测。 -* 脚本纯属爱好与分享,欢迎一起交流,但不提供售后服务 - -## 补充说明 -这个原来来是专门写给阴阳师的,点赞的人应该也都是阴阳师玩家,所以针对阴阳师脚本的思路再做一点补充说明、 -* 例子上写的是单人御魂, 组队跟单人其实是一样的,就再加一个点击接受组队。 -* 御魂、业原火、觉醒这类地图都是一样的逻辑,就是界面和图标有的不一样,一直循环查找点击就好了。 -* 探索麻烦一点,因为每个怪长得不一样。建议查找目标设置为怪头上那个交叉的剑的小图标,这个不会变。 -* 探索进图后找那个交叉剑的攻击标识,找不到就拖动地图,拖动几次还找不到就退出重进,单刷大概就这样思路 -* 组队探索最好是乘客位,不当司机,因为识别不了双倍经验BUFF怪。 -有一个发表情的标识可以判断队长是否还在地图里,队长退了就跟着退厃重新接受组长 -* 最最麻烦的百鬼夜行,动来动去超坑爹,我打算弄个机器学习给他们做人脸识别。 -等哪天我做成功了就重新回坑把我那上千张百鬼票砸了。 - diff --git a/example_desktop_YYS.py b/example_desktop_YYS.py deleted file mode 100644 index 84cd17a..0000000 --- a/example_desktop_YYS.py +++ /dev/null @@ -1,53 +0,0 @@ -import time, os -import auto_player as player - -def get_pictures(): - player.screen_shot() - -def auto_play_yuhun(round=50): - count = 0 - while count < round: - ar1 = ['start_yys', 'exp_yys',] - re = player.find_touch_any(ar1) - if re == 'start_yys': - print('开始新一轮...') - count += 1 - #time.sleep(10) - elif re == 'exp_yys': - print('领取奖励...') - elif re is None: - ar2 = ['going_yys',] - re = player.find_touch_any(ar2, False) - if re == 'goging_yys': - print('托管中...') - time.sleep(5) - - -def function3(): - print('功能3未设置') - -def menu(debug=False): - - menu_list = [ - [get_pictures, '获取当前屏幕截图'], - [auto_play_yuhun, '自动刷图_御魂'], - [function3, 'function3功能描述'] - ] - - start_time = time.time() - print('程序启动,当前时间', time.ctime(), '\n') - while True: - i = 0 - for func, des in menu_list: - msg = str(i) + ": " + des + '\n' - print(msg) - i += 1 - player.alarm(1) - raw = input("选择功能模式:") if not debug else 1 - index = int(raw) if raw else 1 - func, des = menu_list[index] - print('已选择功能: ' + des) - func() - -if __name__ == '__main__': - menu() diff 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=?UTF-8?q?=E7=BB=86=E5=AE=89=E8=A3=85=E5=8C=85=E4=BE=9D=E8=B5=96=E7=89=88?= =?UTF-8?q?=E6=9C=AC?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 10 ++--- re.txt | 121 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 126 insertions(+), 5 deletions(-) create mode 100644 re.txt diff --git a/README.md b/README.md index 154172f..6aadf13 100644 --- a/README.md +++ b/README.md @@ -5,9 +5,10 @@ ORC版本优点:更加通用方便。比图片匹配用起来起来更方便,不用截按钮小图标,直接输入目标上的文字。 不受分辨率导致的按钮大小、UI更新导致的外观变化影响。 ORC版本缺点:有些场景的图标可能是没有文字内容的,或有的字体不太标准变形重复影响识别,不过整体识别率还是很高的,够用。 -另外把原版从方法函数式改成了面向对象的类,设置更方便一点,实例化的时候直接设置精度和模式。 +OCR版本的paddle框架与最新版本numpy冲突,需要降低numpy版本,版本参考re.txt文件。另外把原版从方法函数式改成了面向对象的类,设置更方便一点,实例化的时候直接设置精度和模式。 -**提醒:针对手机模拟器pull传文件慢,可以用共享文件夹。一般模拟器截图都是自动到共享文件夹里,可以直接从电脑上读取,不用再pull一遍,比如我的夜神模拟器在C:\Users\Administrator\Nox_share\ImageShare,具体看你用的模拟器说明书。把screen_shot函数里的读取图片地址从screen文件夹改到你的共享文件夹就行。真手机暂时无解,推荐用OCR版本加模拟器ADB模式。** +**提醒: +针对手机模拟器pull传文件慢,可以用共享文件夹。一般模拟器截图都是自动到共享文件夹里,可以直接从电脑上读取,不用再pull一遍,比如我的夜神模拟器在C:\Users\Administrator\Nox_share\ImageShare,具体看你用的模拟器说明书。把screen_shot函数里的读取图片地址从screen文件夹改到你的共享文件夹就行。真手机暂时无解,推荐用OCR版本加模拟器ADB模式。** ### 2021.03.21更新 @@ -36,7 +37,7 @@ ORC版本缺点:有些场景的图标可能是没有文字内容的,或有 ## 使用说明: ### 前置条件: -#### 安装包依赖: +#### 安装包依赖(版本参考re.txt): * 原版:python-opencv, pyautogui, pillow, numpy * OCR版增加:paddlehub, paddlepaddle, shapely, pyclipper #### 其它 @@ -98,5 +99,4 @@ demo_azuer.py是碧蓝航线,是我自己在用的,实现了一些更复杂 * 组队探索最好是乘客位,不当司机,因为识别不了双倍经验BUFF怪。 有一个发表情的标识可以判断队长是否还在地图里,队长退了就跟着退厃重新接受组长 * 最最麻烦的百鬼夜行,动来动去超坑爹,我打算弄个机器学习给他们做人脸识别。 -等哪天我做成功了就重新回坑把我那上千张百鬼票砸了。 - +等哪天我做成功了就重新回坑把我那上千张百鬼票砸了。 \ No newline at end of file diff --git a/re.txt b/re.txt new file mode 100644 index 0000000..7c4b47a --- /dev/null +++ b/re.txt @@ -0,0 +1,121 @@ +aiofiles==23.1.0 +aiohttp==3.8.4 +aiosignal==1.3.1 +altair==4.2.2 +altgraph==0.17.3 +anyio==3.6.2 +astor==0.8.1 +async-timeout==4.0.2 +attrs==22.2.0 +Babel==2.12.1 +bce-python-sdk==0.8.79 +charset-normalizer==3.1.0 +click==8.1.3 +colorama==0.4.6 +colorlog==6.7.0 +contourpy==1.0.7 +cycler==0.11.0 +datasets==2.10.1 +decorator==5.1.1 +dill==0.3.4 +easydict==1.10 +entrypoints==0.4 +fastapi==0.95.0 +ffmpy==0.3.0 +filelock==3.10.0 +Flask==2.2.3 +Flask-Babel==2.0.0 +fonttools==4.39.2 +frozenlist==1.3.3 +fsspec==2023.3.0 +future==0.18.3 +gradio==3.22.1 +h11==0.14.0 +httpcore==0.16.3 +httpx==0.23.3 +huggingface-hub==0.13.2 +idna==3.4 +importlib-metadata==6.1.0 +importlib-resources==5.12.0 +itsdangerous==2.1.2 +jieba==0.42.1 +Jinja2==3.1.2 +joblib==1.2.0 +jsonschema==4.17.3 +kiwisolver==1.4.4 +linkify-it-py==2.0.0 +markdown-it-py==2.2.0 +MarkupSafe==2.1.2 +matplotlib==3.7.1 +mdit-py-plugins==0.3.3 +mdurl==0.1.2 +MouseInfo==0.1.3 +multidict==6.0.4 +multiprocess==0.70.12.2 +numpy==1.23.5 +opencv-python==4.7.0.72 +opt-einsum==3.3.0 +orjson==3.8.7 +packaging==23.0 +paddle-bfloat==0.1.7 +paddle2onnx==1.0.6 +paddlefsl==1.1.0 +paddlehub==2.3.1 +paddlenlp==2.5.2 +paddlepaddle==2.4.2 +pandas==1.5.3 +pefile==2023.2.7 +Pillow==9.4.0 +protobuf==3.20.0 +pyarrow==11.0.0 +PyAutoGUI==0.9.53 +pyclipper==1.3.0.post4 +pycryptodome==3.17 +pydantic==1.10.6 +pydub==0.25.1 +PyGetWindow==0.0.9 +Pygments==2.14.0 +pyinstaller==5.9.0 +pyinstaller-hooks-contrib==2023.1 +PyMsgBox==1.0.9 +pyparsing==3.0.9 +pyperclip==1.8.2 +PyRect==0.2.0 +pyrsistent==0.19.3 +PyScreeze==0.1.28 +python-dateutil==2.8.2 +python-multipart==0.0.6 +python-opencv==1.0.0.14 +pytweening==1.0.4 +pytz==2022.7.1 +pywin32-ctypes==0.2.0 +PyYAML==6.0 +pyzmq==25.0.1 +rarfile==4.0 +requests==2.28.2 +responses==0.18.0 +rfc3986==1.5.0 +rich==13.3.2 +scikit-learn==1.2.2 +scipy==1.10.1 +sentencepiece==0.1.97 +seqeval==1.2.2 +shapely==2.0.1 +six==1.16.0 +sniffio==1.3.0 +starlette==0.26.1 +threadpoolctl==3.1.0 +toolz==0.12.0 +tqdm==4.65.0 +typer==0.7.0 +typing_extensions==4.5.0 +uc-micro-py==1.0.1 +urllib3==1.26.15 +uvicorn==0.21.1 +visualdl==2.4.2 +websockets==10.4 +Werkzeug==2.2.3 +wincertstore==0.2 +xxhash==3.2.0 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pro/main | Bin 7123410 -> 7333970 bytes 2 files changed, 12 deletions(-) delete mode 100644 mumu pro/cert.pem diff --git a/mumu pro/cert.pem b/mumu pro/cert.pem deleted file mode 100644 index d6f773a..0000000 --- a/mumu pro/cert.pem +++ /dev/null @@ -1,12 +0,0 @@ ------BEGIN CERTIFICATE----- -MIIBrTCCAVSgAwIBAgIBATAKBggqhkjOPQQDAjAfMR0wGwYDVQQDExRhcGktcHJv -Lm11bXUuMTYzLmNvbTAeFw0yNDAzMTQxMjMwMThaFw0yNTAzMTQxMjMwMThaMB8x -HTAbBgNVBAMTFGFwaS1wcm8ubXVtdS4xNjMuY29tMFkwEwYHKoZIzj0CAQYIKoZI -zj0DAQcDQgAEKhMQ2954+nXQVbMJpG3kC3DKqTiONpaz55dn4FgNtAHFor7E3YlN -mkK2IPa+YkT4LLcC31G9wuVAc7bK+fq966OBgDB+MA4GA1UdDwEB/wQEAwIFoDAT -BgNVHSUEDDAKBggrBgEFBQcDATAMBgNVHRMBAf8EAjAAMEkGA1UdEQRCMECCFGFw -aS1wcm8ubXVtdS4xNjMuY29tghJzaGVuY2UubmV0ZWFzZS5jb22CDioubXVtdS4x -NjMuY29thwR/AAABMAoGCCqGSM49BAMCA0cAMEQCIBQ6T9g+eb7OjrB8ZlbVxIWa -74ZA1PyIgNQlOzAVBJd2AiA0Y8hMoLBIRPMQZZPXB4cuWGm1k8YrYAzoGA5lT188 -eg== ------END CERTIFICATE----- diff --git a/mumu pro/main b/mumu pro/main index 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b/README.md old mode 100644 new mode 100755 index 6aadf13..e2b108c --- a/README.md +++ b/README.md @@ -1,102 +1,15 @@ -### 2023.03.29再次分享 +感谢anywheretogo大佬提供的脚本框架,此脚本在原作基础上加入了很多功能,也修复了一些问题。开发测试均基于体验服,平台为电脑桌面版和安卓(支持模拟器和实体机)。本人体验服玩家,所以活动会根据体服尽快更新。 -主要是补充一个自己在用的OCR版本,继承了原来的截屏、点击等功能,匹配功能从opencv的图像匹配换成了OCR文字识别,**不用一个个图标截图了,推荐使用**,实现了同样的寻找、点击功能,同样提供模式与ADB模式。OCR采用的是百度家的paddlepaddle深度学习框架,超轻量模型chinese_ocr_db_crnn_mobile,识别速度感觉跟图像匹配差不多挺快的。有需要的可以自己换大模型提高精确度。[百度OCR模型使用教程点这里](https://aistudio.baidu.com/aistudio/projectdetail/507159?channelType=0&channel=0) +1. 安装python +此脚本兼容Windows/Mac系统,并支持ADB使用模拟器,对于不了解python的用户,首先要安装python官方的必要安装包。下载地址: https://www.python.org/downloads/release/python-31011/, 选择对应的系统就好。 -ORC版本优点:更加通用方便。比图片匹配用起来起来更方便,不用截按钮小图标,直接输入目标上的文字。 不受分辨率导致的按钮大小、UI更新导致的外观变化影响。 -ORC版本缺点:有些场景的图标可能是没有文字内容的,或有的字体不太标准变形重复影响识别,不过整体识别率还是很高的,够用。 +2. 配置程序环境 +安装好python后还需要另外安装三个python库,分别是opencv,pyautogui,和mss。这个步骤Windows和Mac略有不同: +Windows/Linux:管理员身份打开命令行(cmd)或者powershell,然后运行 pip install opencv-python pyautogui mss +Mac:在终端(terminal)下分别运行 pip3 install opencv-python pyautogui mss -OCR版本的paddle框架与最新版本numpy冲突,需要降低numpy版本,版本参考re.txt文件。另外把原版从方法函数式改成了面向对象的类,设置更方便一点,实例化的时候直接设置精度和模式。 +3. 运行脚本 +Windows下可使用IDLE或其他方式运行(比如powershell/终端),然后打开yys.py脚本源代码,点击运行(F5)则开启脚本。安卓模拟器推荐使用自带的终端Terminal,使用python3 yys.py 方式运行。推荐使用雷电模拟器,MuMu模拟器会相对卡一些不知道什么原因。 +桌面版必须使用原始分辨率即1136x640(安卓/模拟器会自动设置成桌面版分辨率),其它分辨率则需要重新截图才能正常工作。另外桌面版(非模拟器)游戏窗口务必要移动到左上角。退出脚本按CTRL+C即可。 -**提醒: -针对手机模拟器pull传文件慢,可以用共享文件夹。一般模拟器截图都是自动到共享文件夹里,可以直接从电脑上读取,不用再pull一遍,比如我的夜神模拟器在C:\Users\Administrator\Nox_share\ImageShare,具体看你用的模拟器说明书。把screen_shot函数里的读取图片地址从screen文件夹改到你的共享文件夹就行。真手机暂时无解,推荐用OCR版本加模拟器ADB模式。** - - -### 2021.03.21更新 - -两年前随便写的一个小脚本居然骗到100个星了,感觉十分惭愧对不起大家厚爱。 -正好我现在弄另一个类似游戏的脚本,于是就结合了现用的脚本,重新封装整理出一个通用的框架。目标是遇到相似的游戏时能10分钟内迅速写出一个能用脚本来。 - -还是一样包含桌面版和ADB版两个版本,分别用的碧蓝航线和阴阳师写了个例子。 -主要目的是提供封装好的API供大家使用,而不是提供现成产品,所以例子写得比较简单只写了开始结束的自动点击和战斗中的判断。 -剩下的比如体力不足、接受或拒绝组队之类的细节大家自行添加。~~其实主要是我懒。~~ - -补充:我不是专业程序员github不经常上,阴阳师也半弃了所以不常更新。 -有需要探讨交流的可以加我V信anywhere2go,可以交流思路,要手把手帮改代码的就别来了。 -**另外刚看到lisai9093那边有添加了更多丰富功能并长期更新至今的完整版,欢迎大家移步使用[点击传送门](https://github.com/lisai9093/YYS)** - -## 自动游戏挂机辅助 -* 通用手游自动挂机脚本,解放双手,功能同阴阳师手游内自带的小纸人挂机系统类似,等于不受樱饼限制无限使用的小纸人~ -* 拟人化的识图与模拟点击,不读取或修改游戏内部数据,只是取代手动操作。通过随机偏移点击位置和操作延迟防检测。 -* 适用阴阳师、明日方舟、碧蓝航线等能自动战斗只要手动点开始结束的游戏。不适用王者荣耀等需要大量操作的游戏. - -## 核心思路: -* 截屏,然后图片识别的方法判断当前游戏场景,找到需要点击的位置(原版用的opencv图片匹配,OCR版本用的深度学习文字识别) -* 使用随机位置偏移与随机操作延迟防检测 -* 桌面模式:电脑截屏,鼠标点击(用的pyautogui,可以用于电脑客户端或模拟器) -* ADB模式: 电脑向手机发送ADB命令进行截屏和点击(可以用连接真实手机或模板器) - -## 使用说明: -### 前置条件: -#### 安装包依赖(版本参考re.txt): -* 原版:python-opencv, pyautogui, pillow, numpy -* OCR版增加:paddlehub, paddlepaddle, shapely, pyclipper -#### 其它 -* adb连接:需要修改auto_player.py里面的adb路径,其它可以不改。桌面模式不用改动。 -* 原版图片匹配:需要先把要查找的目标图标保存wanted文件夹,jpg格式,否则会出现keyError错误。 OCR版本不用。 - -### 文件: -wanted文件夹是要查找的目标图标,比如开始按键确认按键等截图保存到这里,文件后缀为.jpg。 -screen文件夹是用来自动可在当前截屏的。 -auto_player.py是原版文件,导入后就可以使用下面两个API。 -auto_ocr_player是以原版为基础新增加的OCR版本,具有同样的API。 -demo_yys.py是阴阳师挂机脚本,只写了一个简单的单人御魂模式,供大家参考。 -demo_azuer.py是碧蓝航线,是我自己在用的,实现了一些更复杂一点的功能。 - -### find_touch(target_list, area=None) -* 功能:截屏,并查找列表上图标在截屏上的位置,然后点击所在位置。注意这个有优先级顺序的,找到点击了一个,就直接返回,不会再点击后面的。 -* 必选参数target_list:string list,查找的图标文件名列表,例如target=['start', 'end', ],则会查找wanted文件夹里的start.jpg图标和end.jpg图标所在位置并点击。 -* 可选参数area: int list, 搜索区域,长度为4 范围0-100, 例如area=[h1, h2, w1, w2],则只会在屏幕高度h1%到h2% ,宽度w1%到w2% 的这个范围里搜索,缩小范围可以加快搜索速度。可以不填,全屏搜索,影响不大。 -* 返回参数:string 或 bool 返回找到并点击的那个图标的name,都没找到则False。 - -### exist(target_list, area=None) -* 功能:截屏,查找target_list列表图标在截屏上的位置,不会点击,每个目标都会查找。因为很多游戏都是只要开始和结束时点击,中间有些图标是判断在哪个场景的,不需要点击。 -* * 必选参数target_list:string list,查找的图标文件名列表,例如target=['start', 'end', ],则会查找wanted文件夹里的start.jpg图标和end.jpg图标所在位置。 -* 可选参数area: int list, 搜索区域,长度为4 范围0-100, 例如area=[h1, h2, w1, w2],则只会在屏幕高度h1%到h2% ,宽度w1%到w2% 的这个范围里搜索,缩小范围可以加快搜索速度。可以不填,全屏搜索,影响不大。 -* 返回参数:bool list, 输入[name1,name2...], 返回[name1_result, name2_result...] - -### 代码示例: - from auto_player import Player - from auto_ocr_player import OCR_Player - - #OCR文字识别 + 桌面模式 - #在屏幕上查找文字内容'挑战'或'点击屏幕继续',找到哪个按哪个。 - #关键词's挑战'加前缀s表示只找内容严格等于'挑战'的,不加表示任意包含'挑战'的。 - myplayer = OCR_Player(accuracy=0.6, adb_mode=True) - myplayer.find_touch(['s挑战', '点击屏幕继续']) - - #CV图像匹配 + ADB模式 - #在屏幕上对yys_tiaozhan.jpg和yys_jixu.jpg这两个图标顺序查找,找到哪个按哪个 - myplayer = Player(accuracy=0.8, adb_mode=True) - myplayer.find_touch(['yys_tiaozhan', 'yys_jixu']) - - -## 常见问题 -* 注意文件路径不要有中文,否则会导致opencv读取图片失败,出现无法读取NoneType的Shape之类的错误 -* 桌面版本是是电脑截屏识别,所以游戏窗口需要在前台,不能被遮挡。 -* 桌面版本如果找到了目标且鼠标移动了,却没有点击生效,大概率是权限问题。用管理员权限打开CMD来运行程序即可。 -* ADB版本可以后台控制不怕遮挡,但是需要等手机截屏传输到电脑,传文件过程较慢且有极小概率出错卡死 -* 如果运行没有提示错误,但是一直匹配失败找不到,多半是图标精度问题,重新截取要找的图标 -* 推荐使用OCR版本,不用截图标,不受分辨率影响。 -* ADB模式效率稍低但可以后台运行,不影响用电脑正常使用,我自己平常用的比较多。桌面模式效率高,据反馈有概率被抓,可能是速度太快了或者游戏客户端带了检测。 -* 脚本纯属爱好与分享,欢迎一起交流,但不提供售后服务 - -## 补充说明 -这个原来来是专门写给阴阳师的,点赞的人应该也都是阴阳师玩家,所以针对阴阳师脚本的思路再做一点补充说明、 -* 例子上写的是单人御魂, 组队跟单人其实是一样的,就再加一个点击接受组队。 -* 御魂、业原火、觉醒这类地图都是一样的逻辑,就是界面和图标有的不一样,一直循环查找点击就好了。 -* 探索麻烦一点,因为每个怪长得不一样。建议查找目标设置为怪头上那个交叉的剑的小图标,这个不会变。 -* 探索进图后找那个交叉剑的攻击标识,找不到就拖动地图,拖动几次还找不到就退出重进,单刷大概就这样思路 -* 组队探索最好是乘客位,不当司机,因为识别不了双倍经验BUFF怪。 -有一个发表情的标识可以判断队长是否还在地图里,队长退了就跟着退厃重新接受组长 -* 最最麻烦的百鬼夜行,动来动去超坑爹,我打算弄个机器学习给他们做人脸识别。 -等哪天我做成功了就重新回坑把我那上千张百鬼票砸了。 \ No newline at end of file +解放双手 Have fun! diff --git a/action.py b/action.py new file mode 100755 index 0000000..66d09f6 --- /dev/null +++ b/action.py @@ -0,0 +1,244 @@ +import cv2,time,os,random,sys,mss,copy,subprocess,pyautogui +import numpy +from PIL import ImageGrab + +def startup(): + global scalar,scaling_factor,adb_enable,adb_path + #检测ADB + if sys.platform=='win32': + print('检测模拟器') + mumu_path="C:\\Program Files\\Netease\\MuMuPlayer-12.0\\shell\\adb.exe" + ld_path="C:\\leidian\\LDPlayer9\\adb.exe" + if os.path.isfile(ld_path): + print('检测到雷电模拟器') + adb_path=ld_path + elif os.path.isfile(mumu_path): + print('检测到MuMu模拟器') + adb_path=mumu_path + comm=[adb_path,'connect','127.0.0.1:7555'] + out=subprocess.run(comm,shell=False,capture_output=True,check=False) + out=out.stdout.decode('utf-8') + print(out) + else: + adb_path='' + out='' + else: + adb_path='adb' + + if len(adb_path)>0: + comm=[adb_path,'devices'] + #print(comm) + try: + out=subprocess.run(comm,shell=False,capture_output=True,check=False) + out=out.stdout.decode('utf-8') + except: + print('ADB error') + out='' + print(out) + out=out.splitlines() + if len(out)>1: + out=out[1] + if len(out)>1: + print('监测到ADB设备,默认使用安卓截图') + adb_enable=True + + screen=screenshot([]) + w=screen.shape[0] + h=screen.shape[1] + print('原始分辨率:',w,'x',h) + if (w==640 and h==1136) or (h==640 and w==1136): + print('无需修改分辨率') + else: + print('修改成桌面版分辨率') + if w>h: + comm=[adb_path,"shell","wm","size","1136x640"] + subprocess.run(comm,shell=False) + elif w<=h: + comm=[adb_path,"shell","wm","size","640x1136"] + subprocess.run(comm,shell=False) + else: + print('未监测到ADB设备,默认使用桌面版') + adb_enable=False + pyautogui.FAILSAFE=False + + #检测系统 + if sys.platform=='darwin' and not adb_enable: + scalar=True + scaling_factor=1/2 + else: + scalar=False + scaling_factor=1 + + #截屏起点 + a=0 + +def reset_resolution(): + global adb_enable,adb_path + if adb_enable: + print('重置安卓分辨率') + comm=[adb_path,"shell","wm","size","reset"] + subprocess.run(comm,shell=False) + +def screenshot(monitor): + global adb_enable,adb_path + if adb_enable: + comm=[adb_path,"shell","screencap","-p"] + #隐藏终端窗口 + if sys.platform=='win32': + startupinfo = subprocess.STARTUPINFO() + startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW + startupinfo.wShowWindow = subprocess.SW_HIDE + creationflags = subprocess.CREATE_NO_WINDOW + invisibledict = { + "startupinfo": startupinfo, + "creationflags": creationflags, + "start_new_session": True, + } + image_bytes = subprocess.run(comm,shell=False,stdout=subprocess.PIPE,stderr=subprocess.PIPE,**invisibledict) + else: + image_bytes = subprocess.run(comm,shell=False,stdout=subprocess.PIPE,stderr=subprocess.PIPE) + image_bytes = image_bytes.stdout + if sys.platform=='win32': + #only for Windows, otherwise it will be None + image_bytes = image_bytes.replace(b'\r\n', b'\n') + screen = cv2.imdecode(numpy.frombuffer(image_bytes, numpy.uint8),cv2.IMREAD_COLOR) + #print('screen: ',screen) + #print('screen size: ',screen.shape[1],screen.shape[0]) + return screen + + with mss.mss() as sct: + if scalar: + #MSS + #{"top": b, "left": a, "width": c, "height": d} + #shrink monitor to half due to macOS default DPI scaling + monitor2=copy.deepcopy(monitor) + monitor2["width"]=int(monitor2["width"]*scaling_factor) + monitor2["height"]=int(monitor2["height"]*scaling_factor) + screen=sct.grab(monitor2) + #mss.tools.to_png(screen.rgb, screen.size, output="screenshot.png") + screen = numpy.array(screen) + #print('Screen size: ',screen.shape) + #MuMu助手默认拉伸4/3倍 + screen = cv2.resize(screen, (int(screen.shape[1]*0.75), int(screen.shape[0]*0.75)), + interpolation = cv2.INTER_LINEAR) + #print('Screen size: ',screen.shape) + screen = cv2.cvtColor(screen, cv2.COLOR_BGRA2BGR) + else: + screen = numpy.array(sct.grab(monitor)) + screen = cv2.cvtColor(screen, cv2.COLOR_BGRA2BGR) + return screen + + +#在背景查找目标图片,并返回查找到的结果坐标列表,target是背景,want是要找目标 +def locate(target,want, show=bool(0), msg=bool(0)): + loc_pos=[] + want,treshold,c_name=want[0],want[1],want[2] + result=cv2.matchTemplate(target,want,cv2.TM_CCOEFF_NORMED) + location=numpy.where(result>=treshold) + #print(location) + + if msg: #显示正式寻找目标名称,调试时开启 + print(c_name,'searching... ') + + h,w=want.shape[:-1] #want.shape[:-1] + + n,ex,ey=1,0,0 + for pt in zip(*location[::-1]): #其实这里经常是空的 + x,y=pt[0]+int(w/2),pt[1]+int(h/2) + if (x-ex)+(y-ey)<15: #去掉邻近重复的点 + continue + ex,ey=x,y + + cv2.circle(target,(x,y),10,(0,0,255),3) + + if msg: + print(c_name,'we find it !!! ,at',x,y) + + if scalar: + x,y=int(x*scaling_factor),int(y*scaling_factor) + else: + x,y=int(x),int(y) + + loc_pos.append([x,y]) + + if show: #在图上显示寻找的结果,调试时开启 + print('Debug: show action.locate') + cv2.imshow('we get',target) + cv2.waitKey(0) + cv2.destroyAllWindows() + + if len(loc_pos)==0: + #print(c_name,'not find') + pass + + return loc_pos + + +#按【文件内容,匹配精度,名称】格式批量聚聚要查找的目标图片,精度统一为0.95,名称为文件名 +def load_imgs(): + global scalar + mubiao = {} + if scalar: + path = os.getcwd() + '/png' + else: + path = os.getcwd() + '/png' + file_list = os.listdir(path) + for file in file_list: + name = file.split('.')[0] + file_path = path + '/' + file + a = [ cv2.imread(file_path) , 0.95, name] + mubiao[name] = a + + return mubiao + +#蜂鸣报警器,参数n为鸣叫次数 +def alarm(n): + frequency = 1500 + duration = 500 + + if os.name=='nt': + import winsound + winsound.Beep(frequency, duration) + else: + os.system('afplay /System/Library/Sounds/Sosumi.aiff') + +#裁剪图片以缩小匹配范围,screen为原图内容,upleft、downright是目标区域的左上角、右下角坐标 +def cut(screen,upleft,downright): + + a,b=upleft + c,d=downright + screen=screen[b:d,a:c] + + return screen + +#随机偏移坐标,防止游戏的外挂检测。p是原坐标,w、n是目标图像宽高,返回目标范围内的一个随机坐标 +def cheat(p, w, h): + a,b = p + if scalar: + w, h = int(w/3/2), int(h/3/2) + else: + w, h = int(w/3), int(h/3) + if h<0: + h=1 + c,d = random.randint(-w, w),random.randint(-h, h) + e,f = a + c, b + d + y = [e, f] + return(y) + +# 点击屏幕,参数pos为目标坐标 +def touch(pos): + global adb_enable + #print(adb_enable) + x, y = pos + if adb_enable: + comm=[adb_path,"shell","input","tap",str(x),str(y)] + #print('Command: ',comm) + subprocess.run(comm,shell=False) + else: + pyautogui.click(pos) + + + + + + diff --git a/auto_ocr_player.py b/auto_ocr_player.py deleted file mode 100644 index 5ce5883..0000000 --- a/auto_ocr_player.py +++ /dev/null @@ -1,62 +0,0 @@ -# coding: utf-8 -from auto_player import Player -import paddlehub as hub - -class OCR_Player(Player): - """docstring for OCR_player""" - def __init__(self, accuracy=0.6, adb_mode=False, adb_num=0): - super(OCR_Player, self).__init__(accuracy, adb_mode, adb_num) - self.ocr = hub.Module(name="chinese_ocr_db_crnn_mobile", enable_mkldnn=True) - self.accuracy = accuracy - - def read(self, debug=False): - screen = self.screen_shot() - imgs = [screen,] - results = self.ocr.recognize_text( - images=imgs, # 图片数据,ndarray.shape 为 [H, W, C],BGR格式; - use_gpu=False, # 是否使用 GPU;若使用GPU,请先设置CUDA_VISIBLE_DEVICES环境变量 - output_dir='ocr_result', # 图片的保存路径,默认设为 ocr_result; - visualization=debug, # 是否将识别结果保存为图片文件; - box_thresh=self.accuracy, # 检测文本框置信度的阈值; - text_thresh=self.accuracy) # 识别中文文本置信度的阈值; - data = results[0]['data'] - return data - - def find_touch(self, key_list, debug=False): - data = self.read(debug) - key_list = [key_list,]if type(key_list) == str else key_list - re = False - for key in key_list: - if key[0] == 's': - key = key[1:] - found = [e for e in data if key == e['text']] - else: - found = [e for e in data if key in e['text']] - msg = f'目标:{key}, 找到数量:{len(found)}' - print(msg) - if found: - p1, _, p2, _ = found[0]['text_box_position'] - (x1, y1), (x2, y2) = p1, p2 - center = (int((x1+x2)/2), int((y1+y2)/2)) - self.touch(center) - re = key - break - return re - - def exist(self, key_list, debug=False): - data = self.read(debug) - key_list = [key_list,]if type(key_list) == str else key_list - re = [] - for key in key_list: - if key[0] == 's': - key = key[1:] - found = [e for e in data if key == e['text']] - else: - found = [e for e in data if key in e['text']] - msg = f'目标:{key}, 找到数量:{len(found)}' - re.append(len(found)) - re = re[0] if len(re) == 1 else re - return re - - - diff --git a/auto_player.py b/auto_player.py deleted file mode 100644 index 592f6a8..0000000 --- a/auto_player.py +++ /dev/null @@ -1,182 +0,0 @@ -import time, os, random, threading -import cv2, numpy, pyautogui -from PIL import ImageGrab - -#桌面模式下的鼠标操作延迟,程序已经设置随机延迟这里无需设置修改 -pyautogui.PAUSE = 0.001 -cwd = __file__.replace('auto_player.py', '') #当前文件目录 -wanted_path = f'{cwd}\\wanted' #目标图片目录 -#上面都不用改,下面是adb.exe文件所在路径要改, -#如果你已经加入系统PATH环境,就直接adb = 'adb',我的没加。 只用桌面模式话不用管 -adb = 'd: && cd \\mysys\\Nox\\bin\\ && nox_adb.exe' #ADB文件路径 -nxfd = 'C:\\Users\\Administrator\\Nox_share\\ImageShare' #模拟器共享文件路径 - -class Player(object): - """docstring for Player""" - # accuracy 匹配精准度 0~1 #adb_mode开启ADB模式 #adb_num连接第几台ADB设备 - def __init__(self, accuracy=0.8, adb_mode=False, adb_num=0): - super(Player, self).__init__() - self.accuracy = accuracy - self.adb_mode = adb_mode - self.load_target() - if self.adb_mode: - re = os.popen(f'{adb} devices').read() - print(re) - device_list = [e.split('\t')[0] for e in re.split('\n') if '\tdevice' in e] - assert len(device_list) >= 1, '未检测到ADB连接设备' - self.device = device_list[adb_num] - re = os.popen(f'{adb} -s {self.device} shell wm size').read() - print(re) - else: - w, h = pyautogui.size() - print(f'Physical size: {w}x{h}') - - #读取要查找的目标图片,名称为文件名 - #返回字典{name1:[cv2_image1, name1], name2:...} - def load_target(self): - target_map = {} - path = wanted_path - file_list = os.listdir(path) - for file in file_list: - name = file.split('.')[0] - file_path = path + '/' + file - content = [ cv2.imread(file_path) , name] - target_map[name] = content - print(target_map.keys()) - self.target_map = target_map - return target_map - - #截屏并发送到目录./screen, 默认返回cv2读取后的图片 - def screen_shot(self, name='screen'): - if self.adb_mode: - a = f'{adb} -s {self.device} shell screencap -p sdcard/Pictures/{name}.jpg' - b = f'{adb} -s {self.device} pull sdcard/Pictures/{name}.jpg {cwd}\\screen' - for cmd in [a, b]: - os.system(cmd) - time.sleep(0.02) - screen = cv2.imread(f'{cwd}\\screen\\{name}.jpg') - #screen = cv2.imread(f'{nxfd}\\{name}.jpg') - #大部分模拟器截图自动同步到共享文件夹 其实不用PULL的 - else: - screen = ImageGrab.grab() - if name != 'screen': #非默认情况才保存硬盘 否则直接读取内存文件 - screen.save(f'{cwd}\\screen\\{name}.jpg') - screen = cv2.cvtColor(numpy.array(screen),cv2.COLOR_RGB2BGR) - print('截图已完成 ', time.ctime()) - self.screen = screen - return self.screen - - #随机位置偏移,默认左右5个像素 - def random_offset(self, position, range=5): - x, y = position - x += random.randint(-range, range) - y += random.randint(-range, range) - return (x, y) - - # ADB命令模拟点击屏幕,参数pos为目标坐标(x, y), 自带随机偏移 - # 或pyautogui鼠标点击,带偏移与延迟 - def touch(self, position): - x, y = self.random_offset(position) - if self.adb_mode: #手机点击 - cmd = f'{adb} -s {self.device} shell input touchscreen tap {x} {y}' - os.system(cmd) - else: #电脑点击 - origin = pyautogui.position() - dt = random.uniform(0.01, 0.02) - pyautogui.moveTo(x, y, duration=dt) - pyautogui.mouseDown(button='left') - time.sleep(dt) #有的游戏就是不能识别click,但是可以down加up,很奇怪 - pyautogui.mouseUp(button='left') - pyautogui.moveTo(*origin, duration=dt) - - #拖动或长按 - def drag(self, position_start, end, second=0.2): - sx, sy = random_offset(position_start) - ex, ey = random_offset(end) - if self.adb_mode: - cmd = f'{adb} -s {self.device} shell input touchscreen swipe {sx} {sy} {ex} {ey}' - os.system(cmd) - else: - origin = pyautogui.position() #记录原位,点完返回 - dt = random.uniform(0.01, 0.02) - pyautogui.moveTo(sx, sy, duration=dt) - pyautogui.dragTo(ex, ey, duration=second+dt) - pyautogui.moveTo(*origin, duration=dt) - - #在图上标记位置p1左上,p2右下 - def mark(self, background, p1, p2): - cv2.rectangle(background, p1, p2, (0, 0, 255), 3) - - #核心功能, 在background大图片上定位target_name对应的小图片位置 - #debug开启则会以图片形式显示查找结果 - def locate(self, background, target_name, debug=0): - loc_pos = [] - target, c_name = self.target_map[target_name] - h, w, _ = target.shape - result = cv2.matchTemplate(background, target, cv2.TM_CCOEFF_NORMED) - location = numpy.where(result >= self.accuracy) - dis = lambda a, b: ((a[0]-b[0])**2 + (a[1]-b[1])**2) **0.5 #计算两点距离 - for y, x in zip(*location): - center = x + int(w/2), y + int(h/2) - if loc_pos and dis(loc_pos[-1], center) < 20: #忽略邻近重复的点 - continue - else: - loc_pos.append(center) - p2 = x + w, y + h - self.mark(background, (x, y), p2) - - if debug: #在图上显示寻找的结果,调试时开启 - cv2.imshow(f'result for {target_name}:', background) - cv2.waitKey(0) - cv2.destroyAllWindows() - res = len(loc_pos) - msg = f'查找结果:{c_name} 匹配到 {res} 个位置' - print(msg) - return loc_pos - - - #裁剪Img以加速检测, area[h1,h2,w1,w2]为高宽范围百分比 - #选中区域为高h1%到h2% 宽w1%到w2%,返回裁剪后图片与左上角位置 - def cut(self, img, area=[0, 50, 0, 50]): - h1, h2, w1, w2 = [e/100 for e in area] - h, w, c = img.shape - h1, h2 = int(h*h1), int(h*h2) - w1, w2 = int(w*w1), int(w*w2) - small = img[h1:h2, w1:w2, :] - start = [w1, h1] - return small, start - - #判断name_list中哪些目标存在,但不点击,全部目标遍历,返回同长度真假列表 - #输入[name1,name2...]返回[name1_result, name2_result...] - def exist(self, name_list, area=None): - background = self.screen_shot() - if area: - background, start = self.cut(background, area) - re = [] - name_list = name_list if type(name_list) == list else [name_list,] - for name in name_list: - loc_pos = self.locate(background, name) - cur = len(loc_pos) > 0 - re.append(cur) - re = re[0] if len(re) == 1 else re - return re - - #寻找name_list中的目标,并点击第一个找到的目标,然后中止 - #注意有优先级顺序,找到了前面的就不会再找后面的 - #只返回第一个找到并点击的name,都没找到返回false - def find_touch(self, name_list, area=None): - background = self.screen_shot() - if area: - background, start = self.cut(background, area) - re = False - name_list = name_list if type(name_list) == list else [name_list,] - for name in name_list: - loc_pos = self.locate(background, name) - if len(loc_pos) > 0: - if area: #从裁剪后的坐标还原回裁前的坐标 - loc_pos[0][0] += start[0] - loc_pos[0][1] += start[1] - self.touch(loc_pos[0]) #同一目标多个结果时只点第一个 - re = name - break - return re \ No newline at end of file diff --git a/demo_azure.py b/demo_azure.py deleted file mode 100644 index a2119c0..0000000 --- a/demo_azure.py +++ /dev/null @@ -1,29 +0,0 @@ -from auto_ocr_player import OCR_Player -import time - -myplayer = OCR_Player(accuracy=0.6, adb_mode=True) - -tuiyi = ['键退', '确定', '点击继续', '没找到符合条件'] -zhuxian = ['立刻前往', '再次前往', 's整理', '迎击'] -huodong = ['刻前', '北地', '出击', '战斗胜利', '确定'] -yanxi = ["次数不足", '关闭', '开始', '综合实力', '出击', "评价", "功勋", "确定",] - -steps = zhuxian -yx, bd = myplayer.exist(['演习', '北地']) -if yx: - steps = yanxi -elif bd: - steps = huodong - -while 1: - re = myplayer.find_touch(steps) - if re == '次数不足': - break - if re == '整理': - while myplayer.find_touch(tuiyi) != '没找到符合条件': - time.sleep(1) - myplayer.find_touch(['取消',]) - if re == '迎击': - myplayer.find_touch(['自律',]) - time.sleep(3) - time.sleep(1) diff --git a/demo_yys.py b/demo_yys.py deleted file mode 100644 index db02a3e..0000000 --- a/demo_yys.py +++ /dev/null @@ -1,15 +0,0 @@ -from auto_player import Player -from auto_ocr_player import OCR_Player -import time - -#OCR文字识别 桌面模式(不能遮挡游戏窗口) -myplayer = OCR_Player(accuracy=0.6, adb_mode=True) -while True: - myplayer.find_touch(['s挑战', '点击屏幕继续']) - time.sleep(1) - -#CV图像匹配 ADB模式(确保设备ADB连接成功) -myplayer = Player(accuracy=0.8, adb_mode=True) -while True: - myplayer.find_touch(['yys_tiaozhan', 'yys_jixu']) - time.sleep(1) \ No newline at end of file diff --git a/landan.m b/landan.m new file mode 100644 index 0000000..109dc4b --- /dev/null +++ b/landan.m @@ -0,0 +1,10 @@ +clear; close all; + +x=[0 180 240 420 630 1040 1440 2160 2790 3900 4800 6380 7590 9720 11280 14040 15990 19460 21840 26100]; +y=[96525 104247 111969 119691 127413 135135 142857 150579 158301 166023 173745 181467 189189 196911 204633 212355 220077 227799 235521 243243]; + +for i=1:length(x) + X(i)=sum(x(1:i)); +end + +plot(y-X,'-o'); grid on; xlabel('Landan Level'); title('Exp out - Exp in'); diff --git a/mumu pro/cert.pem b/mumu pro/cert.pem new file mode 100644 index 0000000..d6f773a --- /dev/null +++ b/mumu pro/cert.pem @@ -0,0 +1,12 @@ +-----BEGIN CERTIFICATE----- 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displayed window + # if cv2.waitKey(25) & 0xFF == ord('q'): + # cv2.destroyAllWindows() + + +def mss_test(shape) : + average = time() + import mss + sct = mss.mss() + mon = {"top": shape[0], "left": shape[1], "width": shape[2]-shape[1], "height": shape[3]-shape[0]} + for _ in range(5): + printscreen = np.asarray(sct.grab(mon)) + average_ms = int(1000*(time()-average)/5.) + return average_ms, printscreen.shape + + + + +def pil_test(shape) : + average = time() + from PIL import ImageGrab + for _ in range(5): + printscreen = np.array(ImageGrab.grab(bbox=shape)) + average_ms = int(1000*(time()-average)/5.) + return average_ms, printscreen.shape + + + + +def pyscreenshot_test(shape): + average = time() + import pyscreenshot as ImageGrab + for _ in range(5): + printscreen = np.asarray( ImageGrab.grab(bbox=shape) ) + average_ms = int(1000*(time()-average)/5.) + return average_ms, printscreen.shape + + +named_function_pair = zip("mss_test,pil_test,pyscreenshot_test".split(","), + 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makedist('Uniform','lower',a,'upper',b); +dx = 0.0001; % to ensure constant spacing +x = a:dx:b; % Could include some of the region where +pdfx = pdf(pd1,x); + +for i=1:n + if i==1 + y=linspace(x(1)+x(1), x(end)+x(end), length(x)+length(x)-1); + pdfy = conv(pdfx,pdfx)*dx; + else + y=linspace(x(1)+y(1), x(end)+y(end), length(x)+length(y)-1); + pdfy = conv(pdfx,pdfy)*dx; + end + +end + +plot(y,pdfy); grid on; +xlabel('Speed'); ylabel('PDF'); + +sum(pdfy(find((y>=17.5))).*dx) +sum(pdfy(find((y<=17.5) & (y>=16.5))).*dx) +sum(pdfy(find((y<=16.5) & (y>=15.5))).*dx) +sum(pdfy(find((y<=15.5) & (y>=14.5))).*dx) +sum(pdfy(find((y<=14.5))).*dx) + +y(find(y==max(pdfy))) \ No newline at end of file diff --git a/yys.py b/yys.py new file mode 100755 index 0000000..8ae849b --- /dev/null +++ b/yys.py @@ -0,0 +1,1367 @@ +import cv2,time,random,os,datetime +import os,sys,traceback +import numpy as np +import mss +import action + +#检测系统 +print('操作系统:', sys.platform) +if sys.platform=='darwin': + scalar=True +else: + scalar=False +action.startup() +# 读取文件 精度控制 显示名字 +imgs = action.load_imgs() +#pyautogui.PAUSE = 0.05 +#pyautogui.FAILSAFE=False + +start_time = time.time() +#print('程序启动,现在时间', time.ctime()) + +#截屏,并裁剪以加速 +upleft = (0, 0) +if scalar==True: + downright = (1136,750) +else: + downright = (1136, 700) +a,b = upleft +c,d = downright +monitor = {"top": b, "left": a, "width": c, "height": d} +start = time.time() + +#constants +last_click=None + +#以上启动,载入设置 +########################################################## +def select_mode(): + global start + end = time.time() + hours, rem = divmod(end-start, 3600) + minutes, seconds = divmod(rem, 60) + print("运行时间:{:0>2}:{:0>2}:{:05.2f}".format(int(hours),int(minutes),seconds)) + print (datetime.datetime.now()) + + print('''\n菜单: 按下CTRL+C停止,0退出 + 1 结界突破 + 2 御魂(司机) + 3 御魂(打手) + 4 御魂/御灵/契灵探查(单刷) + 5 探索(司机) + 6 探索(打手) + 7 探索(单刷) + 8 百鬼夜行 + 9 自动斗技 + 10 当前活动 + 11 结界自动合卡(太阴和伞室内) + 12 厕纸抽卡 + 13 蓝蛋升级 + 14 秘境召唤 + 15 妖气封印/秘闻 + 16 契灵boss(单刷) + 17 Debug模式 + ''') + action.alarm(1) + raw = input("选择功能模式:") + try: + index = int(raw) + except: + print('请输入数字') + select_mode() + + mode = [0, tupo, yuhun, yuhun2, yuhundanren,\ + gouliang, gouliang2, gouliang3,\ + baigui, douji, huodong,\ + card, chouka, shengxing, mijing, yaoqi,\ + qilingdanren, debug] + try: + command = mode[index] + except: + print('数字超出范围') + select_mode() + + if index==0: + action.reset_resolution() + quit() + else: + start = time.time() + try: + command() + except KeyboardInterrupt: + print('已停止!') + select_mode() + +########################################################## +#结节突破 +def tupo(): + last_click='' + count=0 #总次数 + cishu = 0 + refresh=0 + liaotu=None + while True : #直到取消,或者出错 + #截屏 + #im = np.array(mss.mss().grab(monitor)) + #screen = cv2.cvtColor(im, cv2.COLOR_BGRA2BGR) + screen=action.screenshot(monitor) + #cv2.imshow("Image", screen) + #cv2.waitKey(0) + + #寮突破判断 + if liaotu==None: + want = imgs['liaotupo'] + size = want[0].shape + h, w , ___ = size + pts = action.locate(screen,want,0) + if not len(pts) == 0: + liaotu=True + print('寮突破') + + want = imgs['gerentupo'] + size = want[0].shape + h, w , ___ = size + pts = action.locate(screen,want,0) + if not len(pts) == 0: + liaotu=False + print('个人突破') + + + if liaotu==False: + if cishu >= 31: + print('进攻次数上限: ',cishu) + select_mode() + + want = imgs['jingonghuise'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0 and liaotu==True: + refresh=refresh+1 + print('进攻CD,暂停5分钟') + t=60*5 + time.sleep(t) + + #奖励 + for i in ['jujue','queding',\ + 'shibai','ying','jiangli','jixu',\ + 'jingong','jingong2',\ + 'lingxunzhang','lingxunzhang2','lingxunzhang4',\ + 'shuaxin','zhunbei']: + #print(i) + want=imgs[i] + size = want[0].shape + h, w , ___ = size + target=screen + pts=action.locate(target,want,0) + if not len(pts)==0: + if last_click==i: + if i=='jingong' or i=='jingong2': + refresh=refresh+7 + else: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + t = random.randint(15,50) / 100 + if i == 'shibai': + if cishu>0: + cishu = cishu - 1 + if count>0: + count = count - 1 + print('进攻总次数:',count) + t = random.randint(50,100) / 100 + elif i=='jingong' or i=='jingong2': + if refresh==0: + cishu = cishu + 1 + count=count+1 + print('进攻总次数。。。:',i,count) + t = random.randint(500,800) / 100 + elif i=='lingxunzhang' or i=='lingxunzhang2' or i=='lingxunzhang4': + print('选择结界。。。',i) + t = random.randint(50,150) / 100 + else: + print('突破中。。。',i) + time.sleep(t) + break + + +######################################################## +#御魂司机 +def yuhun(): + last_click='' + cishu=0 + refresh=0 + while True : + #鼠标移到最右侧中止 + + + #截屏 + screen=action.screenshot(monitor) + + #print('screen shot ok',time.ctime()) + #体力不足 + want = imgs['notili'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('体力不足') + select_mode() + + #自动点击通关结束后的页面 + for i in ['jujue','tiaozhan','tiaozhan2',\ + 'moren','queding','querenyuhun','ying',\ + 'jiangli','jiangli2',\ + 'jixu','shibai']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + elif i=='querenyuhun': + refresh=refresh+2 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6 or cishu>200: + print('进攻次数上限') + select_mode() + + if i == 'tiaozhan' or i=='tiaozhan2': + if refresh==0: + cishu=cishu+1 + print('挑战次数:',cishu) + t = random.randint(500,750) / 100 + else: + print('挑战中。。。',i) + t = random.randint(50,100) / 100 + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + time.sleep(t) + break + +######################################################## +#御魂打手 +def yuhun2(): + last_click='' + cishu=0 + refresh=0 + while True : + #鼠标移到最右侧中止 + + + #截屏 + screen=action.screenshot(monitor) + + #体力不足 + want = imgs['notili'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('体力不足') + select_mode() + + #如果队友推出则自己也退出 + want = imgs['tiaozhanhuise'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('队友已退出') + want = imgs['likaiduiwu'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + t = random.randint(15,30) / 100 + time.sleep(t) + + + #自动点击通关结束后的页面 + for i in ['jujue','moren','queding','querenyuhun',\ + 'ying','jiangli','jiangli2','jixu',\ + 'jieshou2','jieshou','shibai']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + elif i=='querenyuhun': + refresh=refresh+2 + else: + refresh=0 + + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + elif refresh==0 and 'jiangli' in i and not last_click=='querenyuhun': + #print('last',last_click) + cishu=cishu+1 + print('挑战次数:',cishu) + print('挑战中。。。',i) + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + last_click=i + t = random.randint(15,30) / 100 + time.sleep(t) + break + + +######################################################## +#御魂单人 +def yuhundanren(): + last_click='' + cishu=0 + refresh=0 + while True : #直到取消,或者出错 + + + #截屏 + screen=action.screenshot(monitor) + + #体力不足 + want = imgs['notili'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('体力不足') + select_mode() + + for i in ['jujue','querenyuhun','ying','jiangli','jiangli2','jixu','zhunbei',\ + 'tiaozhan','tiaozhan2','tiaozhan3','queding','tancha','shibai']: + want=imgs[i] + size = want[0].shape + h, w , ___ = size + target=screen + pts=action.locate(target,want,0) + if not len(pts)==0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('挑战中。。。',i) + if i == 'tiaozhan' or i=='tiaozhan2' or i=='tiaozhan3' or i=='tancha': + if refresh==0: + cishu=cishu+1 + print('挑战次数:',cishu) + if cishu>200: + select_mode() + t = random.randint(500,800) / 100 + else: + t = random.randint(15,30) / 100 + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + time.sleep(t) + break + +######################################################## +#探索司机 +def gouliang(): + last_click='' + count=0 + refresh=0 + while True: #直到取消,或者出错 + + + #截屏 + screen=action.screenshot(monitor) + + #体力不足 + want = imgs['notili'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('体力不足 ') + select_mode() + + want = imgs['queren'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('确认退出') + try: + queding = pts[1] + except: + queding = pts[0] + xy = action.cheat(queding, w, h) + action.touch(xy) + t = random.randint(15,30) / 100 + time.sleep(t) + + + #设定目标,开始查找 + #进入后 + want=imgs['guding'] + + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('正在地图中') + + want = imgs['left'] + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('向右走') + right = (854, 527) + right = action.cheat(right, 10, 10) + action.touch(right) + t = random.randint(50,80) / 100 + time.sleep(t) + continue + + for i in ['boss', 'jian']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + if refresh==0: + count=count+1 + print('点击小怪',i) + print('探索次数:',count) + xx = action.cheat(pts[0], w, h) + action.touch(xx) + time.sleep(0.5) + break + + if i=='jian' and len(pts)==0: + for i in ['queren', 'tuichu']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + #x1,x2 = upleft, (965, 522) + #target = action.cut(screen, x1, x2) + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('退出中',i) + try: + queding = pts[1] + except: + queding = pts[0] + queding = action.cheat(queding, w, h) + action.touch(queding) + t = random.randint(50,80) / 100 + time.sleep(t) + break + continue + + for i in ['jujue','queding','ying','querenyuhun',\ + 'jiangli','jixu',\ + 'tiaozhan','ditu']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('领取奖励',i) + xy = action.cheat(pts[0], w, h ) + action.touch(xy) + if i=='queding': + t = random.randint(150,200) / 100 + else: + t = random.randint(15,30) / 100 + time.sleep(t) + break + +######################################################## +#探索打手 +def gouliang2(): + last_click='' + refresh=0 + while True: #直到取消,或者出错 + + + #截屏 + screen=action.screenshot(monitor) + + #体力不足 + want = imgs['notili'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('体力不足 ') + select_mode() + + #进入后 + want = imgs['guding'] + pts = action.locate(screen,want,0) + if not len(pts) == 0: + print('正在地图中') + + want = imgs['xiao'] + pts = action.locate(screen,want,0) + + if not len(pts) == 0: + print('组队状态中') + else: + print('退出重新组队') + + for i in ['queren', 'queren2','tuichu']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + pts = action.locate(screen,want,0) + + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('退出中',i) + try: + queding = pts[1] + except: + queding = pts[0] + queding = action.cheat(queding, w, h) + action.touch(queding) + t = random.randint(50,80) / 100 + time.sleep(t) + break + continue + + for i in ['jujue','jieshou','querenyuhun','ying',\ + 'jiangli','jixu']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if i=='jieshou': + a,b=pts[0] + if a<50: + break + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('领取奖励',i) + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + if i=='jieshou' or i=='jieshou1': + t = random.randint(15,30) / 100 + else: + t = random.randint(15,30) / 100 + time.sleep(t) + break + +######################################################## +#探索单人 +def gouliang3(): + last_click='' + count=0 + refresh=0 + while True: #直到取消,或者出错 + + + #截屏 + screen=action.screenshot(monitor) + + #体力不足 + want = imgs['notili'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('体力不足 ') + select_mode() + + want = imgs['queren'] + size = want[0].shape + h, w , ___ = size + target = screen + #x1,x2 = upleft, (965, 522) + #target = action.cut(screen, x1, x2) + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('确认退出') + try: + queding = pts[1] + except: + queding = pts[0] + xy = action.cheat(queding, w, h) + action.touch(xy) + t = random.randint(15,30) / 100 + time.sleep(t) + + + #设定目标,开始查找 + #进入后 + want=imgs['guding'] + + pts = action.locate(screen,want,0) + if not len(pts) == 0: + print('正在地图中') + + want = imgs['left'] + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('向右走') + right = (854, 527) + right = action.cheat(right, 10, 10) + action.touch(right) + t = random.randint(50,80) / 100 + time.sleep(t) + continue + + for i in ['boss', 'jian']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + if refresh==0: + count=count+1 + print('点击小怪',i) + print('探索次数:',count) + if count>500: + print('次数上限') + select_mode() + xx = action.cheat(pts[0], w, h) + action.touch(xx) + time.sleep(0.5) + break + + if len(pts)==0: + for i in ['queren','queren2','tuichu']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + pts = action.locate(screen,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('退出中',i) + try: + queding = pts[1] + except: + queding = pts[0] + queding = action.cheat(queding, w, h) + action.touch(queding) + t = random.randint(50,80) / 100 + time.sleep(t) + break + continue + + for i in ['jujue','querenyuhun',\ + 'tansuo','ying','jiangli','jixu','c28','ditu']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('领取奖励',i) + xy = action.cheat(pts[0], w, h ) + action.touch(xy) + t = random.randint(15,30) / 100 + time.sleep(t) + break + +######################################################## +#百鬼 +def baigui(): + last_click='' + refresh=0 + cishu=0 + while True: #直到取消,或者出错 + + + #截屏 + screen=action.screenshot(monitor) + + #设定目标,开始查找 + #进入后 + for i in ['baigui','gailv','douzihuoqu','miaozhun','baiguijieshu']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + refresh=0 + print('点击',i) + xy = action.cheat(pts[0], w, h ) + action.touch(xy) + t = random.randint(15,30) / 100 + time.sleep(t) + continue + + want=imgs['inbaigui'] + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + #print('正在百鬼中') + want = imgs['blank'] + target = screen + pts = action.locate(target,want,0) + if len(pts) == 0: + refresh=0 + #小怪出现! + print('点击小怪') + pts2 = (640, 450) + xx = action.cheat(pts2, 100, 80) + action.touch(xx) + time.sleep(0.5) + continue + + i='jinru' + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + cishu=cishu+1 + print('进入百鬼:',cishu) + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + t = random.randint(10,20) / 100 + time.sleep(t) + + + + i='kaishi' + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + refresh=0 + print('选择押注界面') + i='ya' + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts2 = action.locate(target,want,0) + if not len(pts2) == 0: + print('点击开始: ',pts[0]) + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + t = random.randint(15,30) / 100 + time.sleep(t) + else: + #选择押注 + index=random.randint(0,2) + pts2 = (300+index*340, 500) + print('选择押注: ',index) + + xy = action.cheat(pts2, w, h-10 ) + action.touch(xy) + t = random.randint(50,100) / 100 + time.sleep(t) + + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + t = random.randint(15,30) / 100 + time.sleep(t) + + +######################################################## +#斗技 +def douji(): + last_click='' + doujipaidui=0 + refresh=0 + cishu=0 + while True: #直到取消,或者出错 + + #截屏 + screen=action.screenshot(monitor) + + for i in ['jujue','shoudong','zidong','queren',\ + 'douji','douji3','douji4',\ + 'doujiqueren','doujiend','ying','jixu',\ + 'zhunbei','zhunbei2',\ + 'doujiquxiao']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + if i=='douji' or i=='douji4': + if cishu>30: + print('斗技次数上限') + select_mode() + doujipaidui=0 + if refresh==0: + cishu=cishu+1 + print('斗技次数:',cishu) + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + t = random.randint(15,30) / 100 + time.sleep(t) + break + elif i=='doujiquxiao': + refresh=0 + doujipaidui=doujipaidui+1 + print('斗技搜索:',doujipaidui) + if doujipaidui>5: + doujipaidui=0 + print('取消搜索') + cishu=cishu-1 + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + t = random.randint(15,30) / 100 + time.sleep(t) + break + else: + print('斗技中。。。',i) + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + t = random.randint(50,100) / 100 + time.sleep(t) + break + +######################################################## +#当前活动 +def huodong(): + last_click='' + count=0 + refresh=0 + while True: #直到取消,或者出错 + + + #截屏 + screen=action.screenshot(monitor) + + #体力不足 + want = imgs['notili'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('体力不足 ') + select_mode() + + for i in ['jujue','querenyuhun','queding','hdend',\ + 'hdtiaozhan','hdtiaozhan2','ying','hdsousuo','zhunbei',\ + 'shibai','jixu','liaotianguanbi']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if i=='hdjiacheng': + refresh=0 + elif last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + print('活动中',i) + if refresh>6: + print('进攻次数上限') + select_mode() + + t = 1 + if 'hdtiaozhan' in i: + if refresh==0: + count=count+1 + print('挑战次数:',count) + t=5 + if i=='hdsousuo': + t=5 + if i=='hdend' and False: + if refresh==0: + print('疲劳度满,休息10分钟') + t = 10*60 + time.sleep(t) + xy = action.cheat(pts[0], w, h) + action.touch(xy) + time.sleep(t) + +########################################################## +#合成结界卡 +def card(): + last_click='' + refresh=0 + while True: + #鼠标移到右侧中止 + + + #截屏 + screen=action.screenshot(monitor) + + for i in ['taiyin2','sanshinei','taiyin3']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('结界卡*',i) + xy = action.cheat(pts[0], w/2, h-10) + action.touch(xy) + break + if len(pts) == 0: + print('结界卡不足') + select_mode() + + + for i in range(2): + #截屏 + im = np.array(mss.mss().grab(monitor)) + screen = cv2.cvtColor(im, cv2.COLOR_BGRA2BGR) + + want = imgs['taiyin'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if len(pts) == 0: + print('结界卡不足') + select_mode() + else: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click='taiyin' + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('结界卡',i) + xy = action.cheat(pts[0], w/2, h-10 ) + action.touch(xy) + + #截屏 + screen=action.screenshot(monitor) + + want = imgs['hecheng'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click='hecheng' + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('合成中。。。') + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + + time.sleep(1) + +########################################################## +#抽卡 +def chouka(): + last_click='' + count=0 + while True: + #鼠标移到右侧中止 + + + #截屏 + screen=action.screenshot(monitor) + + want = imgs['zaicizhaohuan'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if count>200: + print('次数上限') + select_mode() + count=count+1 + print('抽卡中。。。',count) + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + #t = random.randint(1,3) / 100 + #time.sleep(t) + +########################################################## +#蓝蛋升级 +def shengxing(): + last_click='' + count=0 + refresh=0 + while True: + #鼠标移到右侧中止 + + + #截屏 + screen=action.screenshot(monitor) + + for i in ['jineng','jixushengxing',\ + 'jixuyucheng','querenshengxing']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('升级中。。。',i) + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + if i=='querenshengxing': + if refresh==0: + count=count+1 + print('升级个数:',count) + t = random.randint(250,350) / 100 + else: + t = random.randint(20,100) / 100 + + time.sleep(t) + +########################################################## +#秘境召唤 +def mijing(): + last_click='' + refresh=0 + while True: + #鼠标移到右侧中止 + + + #截屏 + screen=action.screenshot(monitor) + + #检测聊天界面 + want = imgs['liaotianguanbi'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + #print('搜索秘境车中。。。') + + for i in ['jujue','mijingzhaohuan','mijingzhaohuan2']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('秘境召唤。。。',i) + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + #t = random.randint(10,100) / 100 + #time.sleep(t) + break + else: + for i in ['jujue','canjia','liaotian']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + if i=='canjia': + print('加入秘境召唤!',i) + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + t = random.randint(10,30) / 100 + time.sleep(t) + break + +######################################################## +#妖气封印和秘闻 +def yaoqi(): + last_click='' + count=0 + refresh=0 + while True: #直到取消,或者出错 + + + #截屏 + screen=action.screenshot(monitor) + + #委派任务 + for i in ['jujue','jiangli','jixu','zhunbei',\ + 'shibai','zidongpipei','zudui2',\ + 'ying','tiaozhan3','tiaozhan4']: + want = imgs[i] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + if i=='zidongpipei' or i=='tiaozhan3' or i=='tiaozhan4': + if refresh==0: + count=count+1 + print('次数:',count) + t=100/100 + elif i=='shibai': + print('自动结束') + select_mode() + else: + print('活动中。。。',i) + t = random.randint(30,80) / 100 + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + time.sleep(t) + break + + #体力不足 + want = imgs['notili'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('体力不足') + select_mode() + +######################################################## +#契灵单人 +def qilingdanren(): + last_click='' + cishu=0 + refresh=0 + while True : #直到取消,或者出错 + + + #截屏 + screen=action.screenshot(monitor) + + #体力不足 + want = imgs['notili'] + size = want[0].shape + h, w , ___ = size + target = screen + pts = action.locate(target,want,0) + if not len(pts) == 0: + print('体力不足') + select_mode() + + for i in ['jujue','ying','jiangli','jixu','queding',\ + 'qiling1','mingqi','queren3',\ + 'tiaozhan5','shibai','xiaozhiren']: + want=imgs[i] + size = want[0].shape + h, w , ___ = size + target=screen + pts=action.locate(target,want,0) + if not len(pts)==0: + if last_click==i: + refresh=refresh+1 + else: + refresh=0 + last_click=i + #print('重复次数:',refresh) + if refresh>6: + print('进攻次数上限') + select_mode() + + print('挑战中。。。',i) + if i=='tancha' or i=='tiaozhan5': + if refresh==0: + cishu=cishu+1 + print('挑战次数:',cishu) + t = random.randint(50,150) / 100 + elif i=='queren3': + t = random.randint(350,450) / 100 + else: + t = random.randint(15,30) / 100 + xy = action.cheat(pts[0], w, h-10 ) + action.touch(xy) + time.sleep(t) + break + + +################################################################## +def debug(): + #截屏 + #screen=action_adb.screenshot() + screen=action.screenshot(monitor) + print('screen: ',screen.shape[1],screen.shape[0]) + cv2.imshow("", screen) + print('screen: ',screen.shape[1],screen.shape[0]) + print('点击截图,按任意键返回') + cv2.waitKey(0) + cv2.destroyAllWindows() + cv2.waitKey(1) + select_mode() +#################################################### +if __name__ == '__main__': + select_mode() + From 80f7ddf4ff04b673f20b71839801778763fc36ca Mon Sep 17 00:00:00 2001 From: lisai9093 Date: Thu, 16 May 2024 20:39:01 -0700 Subject: [PATCH 10/13] Restart fork --- .gitignore | 108 ++--------------------------------------------------- 1 file changed, 4 insertions(+), 104 deletions(-) diff --git a/.gitignore b/.gitignore index 894a44c..0ffee63 100644 --- a/.gitignore +++ b/.gitignore @@ -1,104 +1,4 @@ -# Byte-compiled / optimized / DLL files -__pycache__/ -*.py[cod] -*$py.class - -# C extensions -*.so - -# Distribution / packaging -.Python -build/ -develop-eggs/ -dist/ -downloads/ -eggs/ -.eggs/ -lib/ -lib64/ -parts/ -sdist/ -var/ -wheels/ -*.egg-info/ -.installed.cfg -*.egg -MANIFEST - -# PyInstaller -# Usually these files are written by a python script from a template -# before PyInstaller builds the exe, so as to inject date/other infos into it. -*.manifest -*.spec - -# Installer logs -pip-log.txt -pip-delete-this-directory.txt - -# Unit test / coverage reports -htmlcov/ -.tox/ -.coverage -.coverage.* -.cache -nosetests.xml -coverage.xml -*.cover -.hypothesis/ -.pytest_cache/ - -# Translations -*.mo -*.pot - -# Django stuff: -*.log -local_settings.py -db.sqlite3 - -# Flask stuff: -instance/ -.webassets-cache - -# Scrapy stuff: -.scrapy - -# Sphinx documentation -docs/_build/ - -# PyBuilder -target/ - -# Jupyter Notebook -.ipynb_checkpoints - -# pyenv -.python-version - -# celery beat schedule file -celerybeat-schedule - -# SageMath parsed files -*.sage.py - -# Environments -.env -.venv -env/ -venv/ -ENV/ -env.bak/ -venv.bak/ - -# Spyder project settings -.spyderproject -.spyproject - -# Rope project settings -.ropeproject - -# mkdocs documentation -/site - -# mypy -.mypy_cache/ +.DS_Store +.DS* +*.swp +__pycache__ From 775c14ee4ca5f7b9642863df7b6ce148df0ee979 Mon Sep 17 00:00:00 2001 From: lisai9093 Date: Sat, 18 May 2024 18:29:31 -0700 Subject: [PATCH 11/13] =?UTF-8?q?=E6=9B=B4=E6=96=B0=E6=B4=BB=E5=8A=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- png/hdtiaozhan.png | Bin 4864 -> 4019 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/png/hdtiaozhan.png b/png/hdtiaozhan.png index 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-158,7 +158,7 @@ def tupo(): if not len(pts)==0: if last_click==i: if i=='jingong' or i=='jingong2': - refresh=refresh+7 + refresh=refresh+3 else: refresh=refresh+1 else: From 316a55607d36c0d66a058d8affc8ca695cfb8f4e Mon Sep 17 00:00:00 2001 From: lisai9093 Date: Tue, 21 May 2024 22:05:08 -0700 Subject: [PATCH 13/13] =?UTF-8?q?=E6=9B=B4=E6=96=B0=E6=B4=BB=E5=8A=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- png/hdtiaozhan.png | Bin 4019 -> 4011 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/png/hdtiaozhan.png b/png/hdtiaozhan.png index 7efdbc2d32e64f014ccd643ac01fcd05e385b434..827c262185794af41b80c99699ed0feb58f5ebaf 100755 GIT binary patch delta 3997 zcmV;O4`T4MAFCfBiBL{Q4GJ0x0000DNk~Le0000#0000V2nGNE08sN4>5(Bde?Un@ zK~z{rjadhLPS+cL^JVWHSwcc%s}Unei4oM+qAevxs9mG6N3^N5bWuf7vy_%rN6b=t z6j7>ntr`(T_WHi$|32@%=gXCUe{G-qZtl6~j&t7iyze=m&FQqXvL}Vbl>X>3naw5C zv|e2b4-O(bTNC9K6;XCxK2cd2f7zI9$Yf(fHhd_Q>1S&X-zzOGm1oe0`|4gPzF~M* 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