前言
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
1.扫雷游戏
我是win10,没有默认的扫雷,所以去扫雷网下载
http://www.saolei.net/BBS/
2.python 3
我的版本是 python 3.6.1
3.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" )
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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)
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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 ))]
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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)
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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()
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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
总结
以上就是这篇文章的全部内容了,希望本文的内容对大家的学习或者工作具有一定的参考学习价值,如果有疑问大家可以留言交流,谢谢大家对服务器之家的支持。
原文链接:https://www.cnblogs.com/chestnut-egg/p/9302238.html