def yuhunjiacheng():
if a == 1:
yuhunjiacheng_pic = cv2.imread('pic/yuhunjiacheng.png', 0)
yysclient = opencvjietu.yys_client()
#yysclient.show()
yysclient = opencv_compare.PIL_opencv(yysclient)
jiacheng_xy = opencv_compare.template_matching(yysclient,jiacheng_pic)
mousedianji.mouse_click(jiacheng_xy[0], jiacheng_xy[1],3)
yysclient = opencvjietu.yys_client()
#yysclient.show()
yysclient = opencv_compare.PIL_opencv(yysclient)
jiacheng_xy = opencv_compare.template_matching(yysclient,yuhunjiacheng_pic)
mousedianji.mouse_click(jiacheng_xy[0] + 250, jiacheng_xy[1],3)
mousedianji.mouse_click(jiacheng_xy[0] + 400, jiacheng_xy[1], 3)
else:
print('没有选择开启加成')
def feature_matching(imga):
#参数是需要找出图片，原图片直接在函数中截取
image = imga
yysclient = opencvjietu.yys_client()
yysclient = opencv_compare.PIL_opencv(yysclient) #截取图片
result = opencv_compare.template_matching(yysclient, image)
return result
def checking(jietufun, imga):
#作为验证函数 其参数为截图的方法，如截取当前阴阳师客户端全部，或者截取部分区域，另外参数imga是作为对照的图片
#验证方法在sinularity.py中
#返回两张图片的汉明距离
image = imga
s = 10 #汉明距离的初始值，小于5基本相似
while s >= 5:
yysclient_jieshu = jietufun()
yysclient_jieshu = opencv_compare.PIL_opencv(yysclient_jieshu)
s = similarity.classify_aHash(image, yysclient_jieshu)
return s
def yuhun(t):
#开始时间：
print(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())),
'开始：')
yuhun_tubiao()
yuhun_dashe_tubiao()
t = int(t)
while t > 0:
tiaozhan()
#************这里要做一下验证，有时候会出现bug导致无法进入御魂。**********************
s = 10
j = 0
#s= checking(opencvjietu.jieshu(),yuhun_jieshu_pic_s)
while s >= 5:
i = 10
jieshu = opencvjietu.jieshu()
jieshu = opencv_compare.PIL_opencv(jieshu) # 截取图片
s = similarity.classify_aHash(yuhun_jieshu_pic_s, jieshu)
#print(s)
yysclient = opencvjietu.yys_client()
yysclient = opencv_compare.PIL_opencv(yysclient)
i = similarity.classify_aHash(yuhun_shibai_pic, yysclient)
#print('i=',i)
if i < 5:
j = j + 1 # 统计失败次数
t = t + 1
print('这是第', j, '次失败！')
break
#设置一个队列，把s存入队列中当队列中的数值都一样时证明停留在了同一画面
time.sleep(2)
#******御魂结束之后的等待时间有点长应该在中间加一个点击，另外一个问题就是如果结束是正好有好友来了协作就GG结束不了**************
a = feature_matching(yuhun_jieshu_pic)
mousedianji.mouse_click(a[0], a[1], 0)
t = t - 1
time.sleep(random.randint(0, 1))
#打印基本信息
print(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())),
'阴阳师大人，小助手已经帮您刷了', 500 - t, '次御魂了！总共失败', j, '次，继续加油哦！')
def yuhun(t):
yuhun_tubiao()
yuhun_dashe_tubiao()
t = int(t)
while t > 0:
tiaozhan()
s = 10
j = 0
#s= checking(opencvjietu.jieshu(),yuhun_jieshu_pic_s)
while s >= 5:
i = 10
jieshu = opencvjietu.jieshu()
jieshu = opencv_compare.PIL_opencv(jieshu) # 截取图片
s = similarity.classify_aHash(yuling_jieshu_pic_s, jieshu)
#print(s)
defeated = opencvjietu.defeated()
defeated = opencv_compare.PIL_opencv(defeated)
i = similarity.classify_aHash(img_defeated, defeated)
#print('i=',i)
if i < 10:
tiaozhan()
j = j + 1 #统计失败次数
t = t + 1
print('这是第', j, '次失败！')
break
#设置一个队列，把s存入队列中当队列中的数值都一样时证明停留在了同一画面
time.sleep(2)
if s < 5:
a = feature_matching(yuling_jieshu_pic)
mousedianji.mouse_click(a[0], a[1], 0)
t = t - 1
time.sleep(random.randint(0, 3))
print('阴阳师大人，小助手已经帮您刷了', 1000 - t, '次暗孔雀御灵了！总共失败', j, '次，继续加油哦！')
#刷100，200，350，500，800次时停下来半个小时
while t == 800 or t == 500 or t == 300 or t == 200 or t == 100:
time.sleep(1800)