这篇文章主要介绍了如何基于Python实现自动扫雷,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
自动扫雷一般分为两种,一种是读取内存数据,而另一种是通过分析图片获得数据,并通过模拟鼠标操作,这里我用的是第二种方式。
一、准备工作
我的版本是 python 3.6.1
python的第三方库:
- win32api
- win32gui
- win32con
- Pillow
- numpy
- opencv
可通过 pip install --upgrade SomePackage 来进行安装
注意:有的版本是下载pywin32,但是有的要把pywin32升级到最高并自动下载了pypiwin32,具体情况每个python版本可能都略有不同
我给出我的第三方库和版本仅供参考
二、关键代码组成
1.找到游戏窗口与坐标
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#扫雷游戏窗口 class_name = "TMain" title_name = "Minesweeper Arbiter " hwnd = win32gui.FindWindow(class_name, title_name) #窗口坐标 left = 0 top = 0 right = 0 bottom = 0 if hwnd: print ( "找到窗口" ) left, top, right, bottom = win32gui.GetWindowRect(hwnd) #win32gui.SetForegroundWindow(hwnd) print ( "窗口坐标:" ) print ( str (left) + ' ' + str (right) + ' ' + str (top) + ' ' + str (bottom)) else : print ( "未找到窗口" ) |
2.锁定并抓取雷区图像
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#锁定雷区坐标 #去除周围功能按钮以及多余的界面 #具体的像素值是通过QQ的截图来判断的 left + = 15 top + = 101 right - = 15 bottom - = 42 #抓取雷区图像 rect = (left, top, right, bottom) img = ImageGrab.grab().crop(rect) |
3.各图像的RGBA值
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#数字1-8 周围雷数 #0 未被打开 #ed 被打开 空白 #hongqi 红旗 #boom 普通雷 #boom_red 踩中的雷 rgba_ed = [( 225 , ( 192 , 192 , 192 )), ( 31 , ( 128 , 128 , 128 ))] rgba_hongqi = [( 54 , ( 255 , 255 , 255 )), ( 17 , ( 255 , 0 , 0 )), ( 109 , ( 192 , 192 , 192 )), ( 54 , ( 128 , 128 , 128 )), ( 22 , ( 0 , 0 , 0 ))] rgba_0 = [( 54 , ( 255 , 255 , 255 )), ( 148 , ( 192 , 192 , 192 )), ( 54 , ( 128 , 128 , 128 ))] rgba_1 = [( 185 , ( 192 , 192 , 192 )), ( 31 , ( 128 , 128 , 128 )), ( 40 , ( 0 , 0 , 255 ))] rgba_2 = [( 160 , ( 192 , 192 , 192 )), ( 31 , ( 128 , 128 , 128 )), ( 65 , ( 0 , 128 , 0 ))] rgba_3 = [( 62 , ( 255 , 0 , 0 )), ( 163 , ( 192 , 192 , 192 )), ( 31 , ( 128 , 128 , 128 ))] rgba_4 = [( 169 , ( 192 , 192 , 192 )), ( 31 , ( 128 , 128 , 128 )), ( 56 , ( 0 , 0 , 128 ))] rgba_5 = [( 70 , ( 128 , 0 , 0 )), ( 155 , ( 192 , 192 , 192 )), ( 31 , ( 128 , 128 , 128 ))] rgba_6 = [( 153 , ( 192 , 192 , 192 )), ( 31 , ( 128 , 128 , 128 )), ( 72 , ( 0 , 128 , 128 ))] rgba_8 = [( 149 , ( 192 , 192 , 192 )), ( 107 , ( 128 , 128 , 128 ))] rgba_boom = [( 4 , ( 255 , 255 , 255 )), ( 144 , ( 192 , 192 , 192 )), ( 31 , ( 128 , 128 , 128 )), ( 77 , ( 0 , 0 , 0 ))] rgba_boom_red = [( 4 , ( 255 , 255 , 255 )), ( 144 , ( 255 , 0 , 0 )), ( 31 , ( 128 , 128 , 128 )), ( 77 , ( 0 , 0 , 0 ))] |
4.扫描雷区图像保存至一个二维数组map
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#扫描雷区图像 def showmap(): img = ImageGrab.grab().crop(rect) for y in range (blocks_y): for x in range (blocks_x): this_image = img.crop((x * block_width, y * block_height, (x + 1 ) * block_width, (y + 1 ) * block_height)) if this_image.getcolors() = = rgba_0: map [y][x] = 0 elif this_image.getcolors() = = rgba_1: map [y][x] = 1 elif this_image.getcolors() = = rgba_2: map [y][x] = 2 elif this_image.getcolors() = = rgba_3: map [y][x] = 3 elif this_image.getcolors() = = rgba_4: map [y][x] = 4 elif this_image.getcolors() = = rgba_5: map [y][x] = 5 elif this_image.getcolors() = = rgba_6: map [y][x] = 6 elif this_image.getcolors() = = rgba_8: map [y][x] = 8 elif this_image.getcolors() = = rgba_ed: map [y][x] = - 1 elif this_image.getcolors() = = rgba_hongqi: map [y][x] = - 4 elif this_image.getcolors() = = rgba_boom or this_image.getcolors() = = rgba_boom_red: global gameover gameover = 1 break #sys.exit(0) else : print ( "无法识别图像" ) print ( "坐标" ) print ((y,x)) print ( "颜色" ) print (this_image.getcolors()) sys.exit( 0 ) #print(map) |
5.扫雷算法
这里我采用的最基础的算法
1.首先点出一个点
2.扫描所有数字,如果周围空白+插旗==数字,则空白均有雷,右键点击空白插旗
3.扫描所有数字,如果周围插旗==数字,则空白均没有雷,左键点击空白
4.循环2、3,如果没有符合条件的,则随机点击一个白块
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#插旗 def banner(): showmap() for y in range (blocks_y): for x in range (blocks_x): if 1 < = map [y][x] and map [y][x] < = 5 : boom_number = map [y][x] block_white = 0 block_qi = 0 for yy in range (y - 1 ,y + 2 ): for xx in range (x - 1 ,x + 2 ): if 0 < = yy and 0 < = xx and yy < blocks_y and xx < blocks_x: if not (yy = = y and xx = = x): if map [yy][xx] = = 0 : block_white + = 1 elif map [yy][xx] = = - 4 : block_qi + = 1if boom_number = = block_white + block_qi: for yy in range (y - 1 , y + 2 ): for xx in range (x - 1 , x + 2 ): if 0 < = yy and 0 < = xx and yy < blocks_y and xx < blocks_x: if not (yy = = y and xx = = x): if map [yy][xx] = = 0 : win32api.SetCursorPos([left + xx * block_width, top + yy * block_height]) win32api.mouse_event(win32con.MOUSEEVENTF_RIGHTDOWN, 0 , 0 , 0 , 0 ) win32api.mouse_event(win32con.MOUSEEVENTF_RIGHTUP, 0 , 0 , 0 , 0 ) showmap() #点击白块 def dig(): showmap() iscluck = 0 for y in range (blocks_y): for x in range (blocks_x): if 1 < = map [y][x] and map [y][x] < = 5 : boom_number = map [y][x] block_white = 0 block_qi = 0 for yy in range (y - 1 , y + 2 ): for xx in range (x - 1 , x + 2 ): if 0 < = yy and 0 < = xx and yy < blocks_y and xx < blocks_x: if not (yy = = y and xx = = x): if map [yy][xx] = = 0 : block_white + = 1 elif map [yy][xx] = = - 4 : block_qi + = 1if boom_number = = block_qi and block_white > 0 : for yy in range (y - 1 , y + 2 ): for xx in range (x - 1 , x + 2 ): if 0 < = yy and 0 < = xx and yy < blocks_y and xx < blocks_x: if not (yy = = y and xx = = x): if map [yy][xx] = = 0 : win32api.SetCursorPos([left + xx * block_width, top + yy * block_height]) win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, 0 , 0 , 0 , 0 ) win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP, 0 , 0 , 0 , 0 ) iscluck = 1 if iscluck = = 0 : luck() #随机点击 def luck(): fl = 1 while (fl): random_x = random.randint( 0 , blocks_x - 1 ) random_y = random.randint( 0 , blocks_y - 1 ) if ( map [random_y][random_x] = = 0 ): win32api.SetCursorPos([left + random_x * block_width, top + random_y * block_height]) win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, 0 , 0 , 0 , 0 ) win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP, 0 , 0 , 0 , 0 ) fl = 0 def gogo(): win32api.SetCursorPos([left, top]) win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, 0 , 0 , 0 , 0 ) win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP, 0 , 0 , 0 , 0 ) showmap() global gameover while ( 1 ): if (gameover = = 0 ): banner() banner() dig() else : gameover = 0 win32api.keybd_event( 113 , 0 , 0 , 0 ) win32api.SetCursorPos([left, top]) win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, 0 , 0 , 0 , 0 ) win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP, 0 , 0 , 0 , 0 ) showmap() |
这个算法在初级和中级通过率都不错,但是在高级成功率惨不忍睹,主要是没有考虑逻辑组合以及白块是雷的概率问题,可以对这两个点进行改进,提高成功率。
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://www.cnblogs.com/chengxyuan/p/12146977.html