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如何基于Python實現(xiàn)自動掃雷

 更新時間：2020年01月06日 09:59:13   作者：編程入門到放棄  
這篇文章主要介紹了如何基于Python實現(xiàn)自動掃雷,文中通過示例代碼介紹的非常詳細，對大家的學習或者工作具有一定的參考學習價值,需要的朋友可以參考下

這篇文章主要介紹了如何基于Python實現(xiàn)自動掃雷,文中通過示例代碼介紹的非常詳細，對大家的學習或者工作具有一定的參考學習價值,需要的朋友可以參考下

自動掃雷一般分為兩種，一種是讀取內(nèi)存數(shù)據(jù)，而另一種是通過分析圖片獲得數(shù)據(jù)，并通過模擬鼠標操作，這里我用的是第二種方式。

一、準備工作

我的版本是 python 3.6.1

python的第三方庫：

  • win32api
  • win32gui
  • win32con
  • Pillow
  • numpy
  • opencv

可通過 pip install --upgrade SomePackage 來進行安裝

注意：有的版本是下載pywin32，但是有的要把pywin32升級到最高并自動下載了pypiwin32，具體情況每個python版本可能都略有不同

我給出我的第三方庫和版本僅供參考

二、關(guān)鍵代碼組成

1.找到游戲窗口與坐標

#掃雷游戲窗口
class_name = "TMain"
title_name = "Minesweeper Arbiter "
hwnd = win32gui.FindWindow(class_name, title_name)

#窗口坐標
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("窗口坐標：")
  print(str(left)+' '+str(right)+' '+str(top)+' '+str(bottom))
else:
  print("未找到窗口")

2.鎖定并抓取雷區(qū)圖像

#鎖定雷區(qū)坐標
#去除周圍功能按鈕以及多余的界面
#具體的像素值是通過QQ的截圖來判斷的
left += 15
top += 101
right -= 15
bottom -= 42

#抓取雷區(qū)圖像
rect = (left, top, right, bottom)
img = ImageGrab.grab().crop(rect)

3.各圖像的RGBA值

#數(shù)字1-8 周圍雷數(shù)
#0 未被打開
#ed 被打開 空白
#hongqi 紅旗
#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.掃描雷區(qū)圖像保存至一個二維數(shù)組map

#掃描雷區(qū)圖像
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("無法識別圖像")
        print("坐標")
        print((y,x))
        print("顏色")
        print(this_image.getcolors())
        sys.exit(0)
  #print(map)

5.掃雷算法

這里我采用的最基礎(chǔ)的算法

1.首先點出一個點

2.掃描所有數(shù)字，如果周圍空白+插旗==數(shù)字，則空白均有雷，右鍵點擊空白插旗

3.掃描所有數(shù)字，如果周圍插旗==數(shù)字，則空白均沒有雷，左鍵點擊空白

4.循環(huán)2、3，如果沒有符合條件的，則隨機點擊一個白塊

#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()

#點擊白塊
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()

#隨機點擊
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()

這個算法在初級和中級通過率都不錯，但是在高級成功率慘不忍睹，主要是沒有考慮邏輯組合以及白塊是雷的概率問題，可以對這兩個點進行改進，提高成功率。

以上就是本文的全部內(nèi)容，希望對大家的學習有所幫助，也希望大家多多支持腳本之家。

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