def check_jjc_prepare(img):
btn = cat_img(img, 959, 1009, 241, 53)
if (classify_hist_with_split(btn, jjcPrepareBtn) > 0.5):
#竞技场准备
jjcArr = [[1469, 600], [959, 600], [449, 600]]
#jjcArr = [[449,600]]
for arr in jjcArr:
target = cat_img(img, arr[0], arr[1], 100, 100)
if (classify_hist_with_split(target, jjcHuozhadanImg) > 0.5):
print("遇到火炸弹，点炸弹")
#遇到火炸弹，点炸弹
m.click(arr[0], 600)
time.sleep(0.2)
return True
#未遇到火炸弹，点最左
print("未遇到火炸弹，点中")
m.click(jjcArr[1][0], 900)
time.sleep(0.25)
return True
else:
return False
def check_prepare(img):
curPrepareBtn = cat_img(img, 952, 1010, 200, 50)
if (classify_hist_with_split(curPrepareBtn, prepareBtn) > 0.5):
#准备中
#重置敌方数组
reset_right_list()
print("检查到准备中")
#点击继续
m.click(1002, 1020)
time.sleep(0.25)
return True
else:
print("未检查到准备中")
return False
def check_PVP(img):
curRefreshBtn = cat_img(img, 960, 1010, 368, 96)
rate = classify_hist_with_split(curRefreshBtn, refreshBtn)
print("classify_hist_with_split(curRefreshBtn,refreshBtn)", rate)
if (rate > 0.8):
#识别到PVP
#重置敌方数组
reset_right_list()
print("检查到PVP")
#点击继续
m.click(960, 540)
time.sleep(0.25)
return True
else:
print("未检查到PVP")
return False
def check64(img, hArr, vArr):
global uncheckedNum
colorArr = [([0] * 8) for i in range(8)]
imgSize = 76
for xIndex, xCenter in enumerate(hArr):
for yIndex, yCenter in enumerate(vArr):
imgPart = cat_img(img, xCenter, yCenter, imgSize, imgSize)
# imgArr[yIndex][xIndex] = imgPart
color = compare_color(imgPart)
colorArr[yIndex][xIndex] = color
if (not color) and (uncheckedNum < 5):
uncheckedNum += 1
print(yIndex, xIndex, "未识别")
return False
# cv2.imwrite(str(yIndex)+str(xIndex)+".bmp",imgPart)
# plt.imshow(imgPart)
# plt.show()
# print(yIndex,xIndex)
# plt.imshow(imgArr[0][0])
# plt.show()
print(colorArr)
return colorArr
wImgPath = "base\\white.jpg"
gImgPath = "base\\green.jpg"
bImgPath = "base\\blue.jpg"
pImgPath = "base\\purple.jpg"
yImgPath = "base\\yellow.jpg"
nImgPath = "base\\brown.jpg"
rImg = cv2.imread(rImgPath)
wImg = cv2.imread(wImgPath)
gImg = cv2.imread(gImgPath)
bImg = cv2.imread(bImgPath)
pImg = cv2.imread(pImgPath)
yImg = cv2.imread(yImgPath)
nImg = cv2.imread(nImgPath)
rImg = cat_img(rImg, 60, 60, 76, 76)
wImg = cat_img(wImg, 60, 60, 76, 76)
gImg = cat_img(gImg, 60, 60, 76, 76)
bImg = cat_img(bImg, 60, 60, 76, 76)
pImg = cat_img(pImg, 60, 60, 76, 76)
yImg = cat_img(yImg, 60, 60, 76, 76)
nImg = cat_img(nImg, 60, 60, 76, 76)
#三消算法===============================================================================================
#查找最佳可消点
lastBombPoint = [[-1, -1], [-2, -2], [-3, -3]]
def find_can_bomb_point(colorArr,
weightMap={
'w': 5,
def is_all_right_dead(img):
centerImg = cat_img(img, 960, 540, 80, 80)
return (classify_hist_with_split(centerImg, overImg) > 0.5)
#游戏内容相关方法 # import the module import cv2 import time from common.img_process import classify_hist_with_split, cat_img from pymouse import PyMouse m = PyMouse() #操作系统桌面 windowsImgPath = "base\\windows.png" windowsImg = cv2.imread(windowsImgPath) windowsImg = cat_img(windowsImg, 20, 1060, 40, 40) #主界面 mainPath = "base\\main.png" mainImg = cv2.imread(mainPath) #探索 准备界面 prepareImgPath = "base\\prepare.png" prepareImg = cv2.imread(prepareImgPath) prepareBtn = cat_img(prepareImg, 952, 1010, 200, 50) #pvp 休闲战 准备界面 jjcPrepareImgPath = "base\\jjc-prepare.png" #pvp 排位战 准备界面 realJjcPrepareImgPath = "base\\real-jjc-prepare.png" jjcPrepareImg = cv2.imread(realJjcPrepareImgPath) jjcPrepareBtn = cat_img(jjcPrepareImg, 959, 1009, 241, 53)
