人生苦短,我用python
序言
最近女朋友在玩连连看,玩了一个星期了还没通关,真的是菜。
我实在是看不过去了,直接用python写了个脚本代码,一分钟一把游戏。
快是快,就是联网玩容易被骂,嘿嘿~
直接上代码
模块导入
import cv2
import numpy as np
import win32api
import win32gui
import win32con
from PIL import ImageGrab
import time
import random
窗体标题 用于定位游戏窗体
WINDOW_TITLE ="连连看"
时间间隔随机生成 [MIN,MAX]
TIME_INTERVAL_MAX =0.06
TIME_INTERVAL_MIN =0.1
游戏区域距离顶点的x偏移
MARGIN_LEFT =10
游戏区域距离顶点的y偏移
MARGIN_HEIGHT =180
横向的方块数量
H_NUM =19
纵向的方块数量
V_NUM =11
方块宽度
POINT_WIDTH =31
方块高度
POINT_HEIGHT =35
空图像编号
EMPTY_ID =0
切片处理时候的左上、右下坐标:
SUB_LT_X =8
SUB_LT_Y =8
SUB_RB_X =27
SUB_RB_Y =27
游戏的最多消除次数
MAX_ROUND =200
获取窗体坐标位置
defgetGameWindow():# FindWindow(lpClassName=None, lpWindowName=None) 窗口类名 窗口标题名
window = win32gui.FindWindow(None, WINDOW_TITLE)# 没有定位到游戏窗体whilenot window:print('Failed to locate the game window , reposition the game window after 10 seconds...')
time.sleep(10)
window = win32gui.FindWindow(None, WINDOW_TITLE)# 定位到游戏窗体# 置顶游戏窗口
win32gui.SetForegroundWindow(window)
pos = win32gui.GetWindowRect(window)print("Game windows at "+str(pos))return(pos[0], pos[1])
获取屏幕截图
defgetScreenImage():print('Shot screen...')# 获取屏幕截图 Image类型对象
scim = ImageGrab.grab()
scim.save('screen.png')# 用opencv读取屏幕截图# 获取ndarrayreturn cv2.imread("screen.png")
从截图中分辨图片 处理成地图
defgetAllSquare(screen_image, game_pos):print('Processing pictures...')# 通过游戏窗体定位# 加上偏移量获取游戏区域
game_x = game_pos[0]+ MARGIN_LEFT
game_y = game_pos[1]+ MARGIN_HEIGHT
# 从游戏区域左上开始# 把图像按照具体大小切割成相同的小块# 切割标准是按照小块的横纵坐标
all_square =[]for x inrange(0, H_NUM):for y inrange(0, V_NUM):# ndarray的切片方法 : [纵坐标起始位置:纵坐标结束为止,横坐标起始位置:横坐标结束位置]
square = screen_image[game_y + y * POINT_HEIGHT:game_y +(y +1)* POINT_HEIGHT,
game_x + x * POINT_WIDTH:game_x +(x +1)* POINT_WIDTH]
all_square.append(square)# 因为有些图片的边缘会造成干扰,所以统一把图片往内缩小一圈# 对所有的方块进行处理 ,去掉边缘一圈后返回
finalresult =[]for square in all_square:
s = square[SUB_LT_Y:SUB_RB_Y, SUB_LT_X:SUB_RB_X]
finalresult.append(s)return finalresult
判断列表中是否存在相同图形
存在返回进行判断图片所在的id
否则返回-1
defisImageExist(img, img_list):
i =0for existed_img in img_list:# 两个图片进行比较 返回的是两个图片的标准差
b = np.subtract(existed_img, img)# 若标准差全为0 即两张图片没有区别ifnot np.any(b):return i
i = i +1return-1
获取所有的方块类型
defgetAllSquareTypes(all_square):print("Init pictures types...")
types =[]# number列表用来记录每个id的出现次数
number =[]# 当前出现次数最多的方块# 这里我们默认出现最多的方块应该是空白块
nowid =0;for square in all_square:
nid = isImageExist(square, types)# 如果这个图像不存在则插入列表if nid ==-1:
types.append(square)
number.append(1);else:# 若这个图像存在则给计数器 + 1
number[nid]= number[nid]+1if(number[nid]> number[nowid]):
nowid = nid
# 更新EMPTY_ID# 即判断在当前这张图中的空白块idglobal EMPTY_ID
EMPTY_ID = nowid
print('EMPTY_ID = '+str(EMPTY_ID))return types
将二维图片矩阵转换为二维数字矩阵
注意因为在上面对截屏切片时是以列为优先切片的
所以生成的record二维矩阵每行存放的其实是游戏屏幕中每列的编号
换个说法就是record其实是游戏屏幕中心对称后的列表
defgetAllSquareRecord(all_square_list, types):print("Change map...")
record =[]
line =[]for square in all_square_list:
num =0fortypein types:
res = cv2.subtract(square,type)ifnot np.any(res):
line.append(num)break
num +=1# 每列的数量为V_NUM# 那么当当前的line列表中存在V_NUM个方块时我们认为本列处理完毕iflen(line)== V_NUM:print(line);
record.append(line)
line =[]return record
判断给出的两个图像能否消除
defcanConnect(x1, y1, x2, y2, r):
result = r[:]# 如果两个图像中有一个为0 直接返回Falseif result[x1][y1]== EMPTY_ID or result[x2][y2]== EMPTY_ID:returnFalseif x1 == x2 and y1 == y2:returnFalseif result[x1][y1]!= result[x2][y2]:returnFalse# 判断横向连通if horizontalCheck(x1, y1, x2, y2, result):returnTrue# 判断纵向连通if verticalCheck(x1, y1, x2, y2, result):returnTrue# 判断一个拐点可连通if turnOnceCheck(x1, y1, x2, y2, result):returnTrue# 判断两个拐点可连通if turnTwiceCheck(x1, y1, x2, y2, result):returnTrue# 不可联通返回FalsereturnFalse
判断横向联通
defhorizontalCheck(x1, y1, x2, y2, result):if x1 == x2 and y1 == y2:returnFalseif x1 != x2:returnFalse
startY =min(y1, y2)
endY =max(y1, y2)# 判断两个方块是否相邻if(endY - startY)==1:returnTrue# 判断两个方块通路上是否都是0,有一个不是,就说明不能联通,返回falsefor i inrange(startY +1, endY):if result[x1][i]!= EMPTY_ID:returnFalsereturnTrue
判断纵向联通
defverticalCheck(x1, y1, x2, y2, result):if x1 == x2 and y1 == y2:returnFalseif y1 != y2:returnFalse
startX =min(x1, x2)
endX =max(x1, x2)# 判断两个方块是否相邻if(endX - startX)==1:returnTrue# 判断两方块儿通路上是否可连。for i inrange(startX +1, endX):if result[i][y1]!= EMPTY_ID:returnFalsereturnTrue
判断一个拐点可联通
defturnOnceCheck(x1, y1, x2, y2, result):if x1 == x2 or y1 == y2:returnFalse
cx = x1
cy = y2
dx = x2
dy = y1
# 拐点为空,从第一个点到拐点并且从拐点到第二个点可通,则整条路可通。if result[cx][cy]== EMPTY_ID:if horizontalCheck(x1, y1, cx, cy, result)and verticalCheck(cx, cy, x2, y2, result):returnTrueif result[dx][dy]== EMPTY_ID:if verticalCheck(x1, y1, dx, dy, result)and horizontalCheck(dx, dy, x2, y2, result):returnTruereturnFalse
判断两个拐点可联通
defturnTwiceCheck(x1, y1, x2, y2, result):if x1 == x2 and y1 == y2:returnFalse# 遍历整个数组找合适的拐点for i inrange(0,len(result)):for j inrange(0,len(result[1])):# 不为空不能作为拐点if result[i][j]!= EMPTY_ID:continue# 不和被选方块在同一行列的不能作为拐点if i != x1 and i != x2 and j != y1 and j != y2:continue# 作为交点的方块不能作为拐点if(i == x1 and j == y2)or(i == x2 and j == y1):continueif turnOnceCheck(x1, y1, i, j, result)and(
horizontalCheck(i, j, x2, y2, result)or verticalCheck(i, j, x2, y2, result)):returnTrueif turnOnceCheck(i, j, x2, y2, result)and(
horizontalCheck(x1, y1, i, j, result)or verticalCheck(x1, y1, i, j, result)):returnTruereturnFalse
自动消除
defautoRelease(result, game_x, game_y):# 遍历地图for i inrange(0,len(result)):for j inrange(0,len(result[0])):# 当前位置非空if result[i][j]!= EMPTY_ID:# 再次遍历地图 寻找另一个满足条件的图片for m inrange(0,len(result)):for n inrange(0,len(result[0])):if result[m][n]!= EMPTY_ID:# 若可以执行消除if canConnect(i, j, m, n, result):# 消除的两个位置设置为空
result[i][j]= EMPTY_ID
result[m][n]= EMPTY_ID
print('Remove :'+str(i +1)+','+str(j +1)+' and '+str(m +1)+','+str(
n +1))# 计算当前两个位置的图片在游戏中应该存在的位置
x1 = game_x + j * POINT_WIDTH
y1 = game_y + i * POINT_HEIGHT
x2 = game_x + n * POINT_WIDTH
y2 = game_y + m * POINT_HEIGHT
# 模拟鼠标点击第一个图片所在的位置
win32api.SetCursorPos((x1 +15, y1 +18))
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, x1 +15, y1 +18,0,0)
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP, x1 +15, y1 +18,0,0)# 等待随机时间 ,防止检测
time.sleep(random.uniform(TIME_INTERVAL_MIN, TIME_INTERVAL_MAX))# 模拟鼠标点击第二个图片所在的位置
win32api.SetCursorPos((x2 +15, y2 +18))
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, x2 +15, y2 +18,0,0)
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP, x2 +15, y2 +18,0,0)
time.sleep(random.uniform(TIME_INTERVAL_MIN, TIME_INTERVAL_MAX))# 执行消除后返回TruereturnTruereturnFalse
效果的话得上传视频,截图展现不出来效果,大家可以自行试试。
素材在下方或者主页左侧扫码获取
全部代码
# -*- coding:utf-8 -*-import cv2
import numpy as np
import win32api
import win32gui
import win32con
from PIL import ImageGrab
import time
import random
# 窗体标题 用于定位游戏窗体
WINDOW_TITLE ="连连看"# 时间间隔随机生成 [MIN,MAX]
TIME_INTERVAL_MAX =0.06
TIME_INTERVAL_MIN =0.1# 游戏区域距离顶点的x偏移
MARGIN_LEFT =10# 游戏区域距离顶点的y偏移
MARGIN_HEIGHT =180# 横向的方块数量
H_NUM =19# 纵向的方块数量
V_NUM =11# 方块宽度
POINT_WIDTH =31# 方块高度
POINT_HEIGHT =35# 空图像编号
EMPTY_ID =0# 切片处理时候的左上、右下坐标:
SUB_LT_X =8
SUB_LT_Y =8
SUB_RB_X =27
SUB_RB_Y =27# 游戏的最多消除次数
MAX_ROUND =200defgetGameWindow():# FindWindow(lpClassName=None, lpWindowName=None) 窗口类名 窗口标题名
window = win32gui.FindWindow(None, WINDOW_TITLE)# 没有定位到游戏窗体whilenot window:print('Failed to locate the game window , reposition the game window after 10 seconds...')
time.sleep(10)
window = win32gui.FindWindow(None, WINDOW_TITLE)# 定位到游戏窗体# 置顶游戏窗口
win32gui.SetForegroundWindow(window)
pos = win32gui.GetWindowRect(window)print("Game windows at "+str(pos))return(pos[0], pos[1])defgetScreenImage():print('Shot screen...')# 获取屏幕截图 Image类型对象
scim = ImageGrab.grab()
scim.save('screen.png')# 用opencv读取屏幕截图# 获取ndarrayreturn cv2.imread("screen.png")defgetAllSquare(screen_image, game_pos):print('Processing pictures...')# 通过游戏窗体定位# 加上偏移量获取游戏区域
game_x = game_pos[0]+ MARGIN_LEFT
game_y = game_pos[1]+ MARGIN_HEIGHT
# 从游戏区域左上开始# 把图像按照具体大小切割成相同的小块# 切割标准是按照小块的横纵坐标
all_square =[]for x inrange(0, H_NUM):for y inrange(0, V_NUM):# ndarray的切片方法 : [纵坐标起始位置:纵坐标结束为止,横坐标起始位置:横坐标结束位置]
square = screen_image[game_y + y * POINT_HEIGHT:game_y +(y +1)* POINT_HEIGHT,
game_x + x * POINT_WIDTH:game_x +(x +1)* POINT_WIDTH]
all_square.append(square)# 因为有些图片的边缘会造成干扰,所以统一把图片往内缩小一圈# 对所有的方块进行处理 ,去掉边缘一圈后返回
finalresult =[]for square in all_square:
s = square[SUB_LT_Y:SUB_RB_Y, SUB_LT_X:SUB_RB_X]
finalresult.append(s)return finalresult
# 判断列表中是否存在相同图形# 存在返回进行判断图片所在的id# 否则返回-1defisImageExist(img, img_list):
i =0for existed_img in img_list:# 两个图片进行比较 返回的是两个图片的标准差
b = np.subtract(existed_img, img)# 若标准差全为0 即两张图片没有区别ifnot np.any(b):return i
i = i +1return-1defgetAllSquareTypes(all_square):print("Init pictures types...")
types =[]# number列表用来记录每个id的出现次数
number =[]# 当前出现次数最多的方块# 这里我们默认出现最多的方块应该是空白块
nowid =0;for square in all_square:
nid = isImageExist(square, types)# 如果这个图像不存在则插入列表if nid ==-1:
types.append(square)
number.append(1);else:# 若这个图像存在则给计数器 + 1
number[nid]= number[nid]+1if(number[nid]> number[nowid]):
nowid = nid
# 更新EMPTY_ID# 即判断在当前这张图中的空白块idglobal EMPTY_ID
EMPTY_ID = nowid
print('EMPTY_ID = '+str(EMPTY_ID))return types
# 将二维图片矩阵转换为二维数字矩阵# 注意因为在上面对截屏切片时是以列为优先切片的# 所以生成的record二维矩阵每行存放的其实是游戏屏幕中每列的编号# 换个说法就是record其实是游戏屏幕中心对称后的列表defgetAllSquareRecord(all_square_list, types):print("Change map...")
record =[]
line =[]for square in all_square_list:
num =0fortypein types:
res = cv2.subtract(square,type)ifnot np.any(res):
line.append(num)break
num +=1# 每列的数量为V_NUM# 那么当当前的line列表中存在V_NUM个方块时我们认为本列处理完毕iflen(line)== V_NUM:print(line);
record.append(line)
line =[]return record
defcanConnect(x1, y1, x2, y2, r):
result = r[:]# 如果两个图像中有一个为0 直接返回Falseif result[x1][y1]== EMPTY_ID or result[x2][y2]== EMPTY_ID:returnFalseif x1 == x2 and y1 == y2:returnFalseif result[x1][y1]!= result[x2][y2]:returnFalse# 判断横向连通if horizontalCheck(x1, y1, x2, y2, result):returnTrue# 判断纵向连通if verticalCheck(x1, y1, x2, y2, result):returnTrue# 判断一个拐点可连通if turnOnceCheck(x1, y1, x2, y2, result):returnTrue# 判断两个拐点可连通if turnTwiceCheck(x1, y1, x2, y2, result):returnTrue# 不可联通返回FalsereturnFalsedefhorizontalCheck(x1, y1, x2, y2, result):if x1 == x2 and y1 == y2:returnFalseif x1 != x2:returnFalse
startY =min(y1, y2)
endY =max(y1, y2)# 判断两个方块是否相邻if(endY - startY)==1:returnTrue# 判断两个方块通路上是否都是0,有一个不是,就说明不能联通,返回falsefor i inrange(startY +1, endY):if result[x1][i]!= EMPTY_ID:returnFalsereturnTruedefverticalCheck(x1, y1, x2, y2, result):if x1 == x2 and y1 == y2:returnFalseif y1 != y2:returnFalse
startX =min(x1, x2)
endX =max(x1, x2)# 判断两个方块是否相邻if(endX - startX)==1:returnTrue# 判断两方块儿通路上是否可连。for i inrange(startX +1, endX):if result[i][y1]!= EMPTY_ID:returnFalsereturnTruedefturnOnceCheck(x1, y1, x2, y2, result):if x1 == x2 or y1 == y2:returnFalse
cx = x1
cy = y2
dx = x2
dy = y1
# 拐点为空,从第一个点到拐点并且从拐点到第二个点可通,则整条路可通。if result[cx][cy]== EMPTY_ID:if horizontalCheck(x1, y1, cx, cy, result)and verticalCheck(cx, cy, x2, y2, result):returnTrueif result[dx][dy]== EMPTY_ID:if verticalCheck(x1, y1, dx, dy, result)and horizontalCheck(dx, dy, x2, y2, result):returnTruereturnFalsedefturnTwiceCheck(x1, y1, x2, y2, result):if x1 == x2 and y1 == y2:returnFalse# 遍历整个数组找合适的拐点for i inrange(0,len(result)):for j inrange(0,len(result[1])):# 不为空不能作为拐点if result[i][j]!= EMPTY_ID:continue# 不和被选方块在同一行列的不能作为拐点if i != x1 and i != x2 and j != y1 and j != y2:continue# 作为交点的方块不能作为拐点if(i == x1 and j == y2)or(i == x2 and j == y1):continueif turnOnceCheck(x1, y1, i, j, result)and(
horizontalCheck(i, j, x2, y2, result)or verticalCheck(i, j, x2, y2, result)):returnTrueif turnOnceCheck(i, j, x2, y2, result)and(
horizontalCheck(x1, y1, i, j, result)or verticalCheck(x1, y1, i, j, result)):returnTruereturnFalsedefautoRelease(result, game_x, game_y):# 遍历地图for i inrange(0,len(result)):for j inrange(0,len(result[0])):# 当前位置非空if result[i][j]!= EMPTY_ID:# 再次遍历地图 寻找另一个满足条件的图片for m inrange(0,len(result)):for n inrange(0,len(result[0])):if result[m][n]!= EMPTY_ID:# 若可以执行消除if canConnect(i, j, m, n, result):# 消除的两个位置设置为空
result[i][j]= EMPTY_ID
result[m][n]= EMPTY_ID
print('Remove :'+str(i +1)+','+str(j +1)+' and '+str(m +1)+','+str(
n +1))# 计算当前两个位置的图片在游戏中应该存在的位置
x1 = game_x + j * POINT_WIDTH
y1 = game_y + i * POINT_HEIGHT
x2 = game_x + n * POINT_WIDTH
y2 = game_y + m * POINT_HEIGHT
# 模拟鼠标点击第一个图片所在的位置
win32api.SetCursorPos((x1 +15, y1 +18))
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, x1 +15, y1 +18,0,0)
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP, x1 +15, y1 +18,0,0)# 等待随机时间 ,防止检测
time.sleep(random.uniform(TIME_INTERVAL_MIN, TIME_INTERVAL_MAX))# 模拟鼠标点击第二个图片所在的位置
win32api.SetCursorPos((x2 +15, y2 +18))
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN, x2 +15, y2 +18,0,0)
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP, x2 +15, y2 +18,0,0)
time.sleep(random.uniform(TIME_INTERVAL_MIN, TIME_INTERVAL_MAX))# 执行消除后返回TruereturnTruereturnFalsedefautoRemove(squares, game_pos):
game_x = game_pos[0]+ MARGIN_LEFT
game_y = game_pos[1]+ MARGIN_HEIGHT
# 重复一次消除直到到达最多消除次数whileTrue:ifnot autoRelease(squares, game_x, game_y):# 当不再有可消除的方块时结束 , 返回消除数量returnif __name__ =='__main__':
random.seed()# i. 定位游戏窗体
game_pos = getGameWindow()
time.sleep(1)# ii. 获取屏幕截图
screen_image = getScreenImage()# iii. 对截图切片,形成一张二维地图
all_square_list = getAllSquare(screen_image, game_pos)# iv. 获取所有类型的图形,并编号
types = getAllSquareTypes(all_square_list)# v. 讲获取的图片地图转换成数字矩阵
result = np.transpose(getAllSquareRecord(all_square_list, types))# vi. 执行消除 , 并输出消除数量print('The total elimination amount is '+str(autoRemove(result, game_pos)))
兄弟们快去试试吧
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