英杰之塔 13层 168360pt python全自动凹分
import CV2
import numpy as np
import pyautogui
import keyboard
import time
# 设置屏幕的监视区域
monitor1 = {"top": 807, "left": 470, "width": 65, "height": 45}
monitor2 = {"top": 638, "left": 811, "width": 47, "height": 2}
monitor3 = {"top": 870, "left": 1360, "width": 47, "height": 2}
monitor4 = {"top": 180, "left": 544, "width": 47, "height": 36}
cost1 = CV2.imread('cost1.png', CV2.IMREAD_GRAYSCALE)
cost2 = CV2.imread('cost2.png', CV2.IMREAD_GRAYSCALE)
cost3 = CV2.imread('cost3.png', CV2.IMREAD_GRAYSCALE)
cost4 = CV2.imread('cost4.png', CV2.IMREAD_GRAYSCALE)
cost5 = CV2.imread('cost5.png', CV2.IMREAD_GRAYSCALE)
cost6 = CV2.imread('cost6.png', CV2.IMREAD_GRAYSCALE)
cost7 = CV2.imread('cost7.png', CV2.IMREAD_GRAYSCALE)
cost8 = CV2.imread('cost8.png', CV2.IMREAD_GRAYSCALE)
life = CV2.imread('life.png', CV2.IMREAD_GRAYSCALE)
hpflag = 0
hpflag1 = 0
costflag5 = 0
costflag6 = 0
cost1flag = 0
cost2flag = 0
cost3flag = 0
cost4flag = 0
cost5flag = 0
cost6flag = 0
cost7flag = 0
cost8flag = 0
prev_yellow_pixel_count = 0
def skillactivate():
pyautogui.mouseDown(x=1479, y=918,duration = 0.2)
pyautogui.mouseUp()
pyautogui.mouseDown(x=829, y=628)
pyautogui.moveTo(1500, 230, duration=0.2)
pyautogui.mouseUp()
while True:
# 截取监视区域的屏幕图像
screen = np.array(pyautogui.screenshot(region=(monitor1['left'], monitor1['top'], monitor1['width'], monitor1['height'])))
hp = np.array(pyautogui.screenshot(region=(monitor2['left'], monitor2['top'], monitor2['width'], monitor2['height'])))
skill = np.array(pyautogui.screenshot(region=(monitor3['left'], monitor3['top'], monitor3['width'], monitor3['height'])))
lifepoint = np.array(pyautogui.screenshot(region=(monitor4['left'], monitor4['top'], monitor4['width'], monitor4['height'])))
threshold = 0.80
threshold70 = 0.75
threshold85 = 0.85
threshold90 = 0.95
gray_screen = CV2.cvtColor(screen, CV2.COLOR_BGR2GRAY)
gray_life = CV2.cvtColor(lifepoint, CV2.COLOR_BGR2GRAY)
res1 = CV2.matchTemplate(gray_screen, cost1, CV2.TM_CCOEFF_NORMED)
res2 = CV2.matchTemplate(gray_screen, cost2, CV2.TM_CCOEFF_NORMED)
res3 = CV2.matchTemplate(gray_screen, cost3, CV2.TM_CCOEFF_NORMED)
res4 = CV2.matchTemplate(gray_screen, cost4, CV2.TM_CCOEFF_NORMED)
res5 = CV2.matchTemplate(gray_screen, cost5, CV2.TM_CCOEFF_NORMED)
res6 = CV2.matchTemplate(gray_screen, cost6, CV2.TM_CCOEFF_NORMED)
res7 = CV2.matchTemplate(gray_screen, cost7, CV2.TM_CCOEFF_NORMED)
res8 = CV2.matchTemplate(gray_screen, cost8, CV2.TM_CCOEFF_NORMED)
res9 = CV2.matchTemplate(gray_life, life, CV2.TM_CCOEFF_NORMED)
loc1 = np.where(res1 >= threshold)
loc2 = np.where(res2 >= threshold)
loc3 = np.where(res3 >= threshold)
loc4 = np.where(res4 >= threshold)
loc5 = np.where(res5 >= threshold85)
loc6 = np.where(res6 >= threshold)
loc7 = np.where(res7 >= threshold90)
loc8 = np.where(res8 >= threshold)
loc9 = np.where(res9 >= threshold)
yellow_pixels = np.where(np.all(hp == [128, 191, 0], axis=-1))
yellow_pixel_count = len(yellow_pixels[0])
threshold_red = 150
red_pixels = np.where((skill[:,:,0] > threshold_red) & (skill[:,:,1] < threshold_red) & (skill[:,:,2] < threshold_red))
if yellow_pixel_count != 0 and hpflag1 == 0:
prev_yellow_pixel_count = 90
hpflag1 = 1
if yellow_pixel_count == 0 and hpflag1 == 1:
prev_yellow_pixel_count = 90
hpflag1 = 0
if yellow_pixel_count < prev_yellow_pixel_count and hpflag1 == 1:
# if hpflag == 0:
pyautogui.mouseDown(x=1300, y=600, duration=0.2)
pyautogui.mouseUp()
pyautogui.mouseDown(x=551, y=906)
pyautogui.moveTo(x=827, y=682, duration=0.2)
pyautogui.mouseUp()
pyautogui.mouseDown(x=829, y=628)
pyautogui.moveTo(x=1500, y=230, duration=0.2)
pyautogui.mouseUp()
prev_yellow_pixel_count = yellow_pixel_count
# 如果检测到模板图像，则模拟鼠标按下
if len(loc1[0]) > 0 and cost1flag == 0:
pyautogui.mouseDown(x=668, y=908)
pyautogui.moveTo(x=827, y=682, duration=0.2)
pyautogui.mouseUp()
pyautogui.mouseDown(x=551, y=906)
pyautogui.moveTo(x=827, y=682, duration=0.2)
pyautogui.mouseUp()
pyautogui.mouseDown(x=829, y=628)
pyautogui.moveTo(1500, 230, duration=0.2)
pyautogui.mouseUp()
cost1flag = 1
if len(loc2[0]) > 0 and cost2flag == 0:
# time.sleep(1.5)
skillactivate()
cost2flag = 1
if len(loc3[0]) > 0 and cost3flag == 0 and len(red_pixels[0]) > 0:
# time.sleep(1.5)
skillactivate()
cost3flag = 1
if len(loc4[0]) > 0 and cost4flag == 0 and len(red_pixels[0]) > 0:
print("cost 142?")
time.sleep(1.2)
skillactivate()
# CV2.imwrite('screen0.png', screen)
cost4flag = 1
if len(loc5[0]) > 0:
costflag5 = 1
if costflag5 == 1 and cost5flag == 0 and len(red_pixels[0]) > 0 and cost4flag == 1:
# if cost4flag == 1 and cost5flag == 0 and len(red_pixels[0]) > 0:
print("cost 180?")
# time.sleep(1.5)
skillactivate()
CV2.imwrite('screen1.png', screen)
cost5flag = 1
if len(loc6[0]) > 0:
costflag6 = 1
if costflag6 == 1 and cost6flag == 0 and len(red_pixels[0]) > 0 and cost5flag == 1:
print("cost 227?")
skillactivate()
# CV2.imwrite('screen2.png', screen)
cost6flag = 1
if len(loc7[0]) > 0 and cost7flag == 0 and len(red_pixels[0]) > 0:
print("cost 285?")
time.sleep(1.5)
skillactivate()
CV2.imwrite('screen2.png', screen)
cost7flag = 1
if len(loc8[0]) > 0 and cost8flag == 0 and len(red_pixels[0]) > 0:
time.sleep(1.5)
skillactivate()
cost8flag = 1
if len(loc9[0]) > 0:
pyautogui.mouseDown(x=400, y=200,duration = 0.2)
pyautogui.mouseUp()
pyautogui.mouseDown(x=1000, y=500)
pyautogui.mouseUp()
hpflag = 0
hpflag1 = 0
cost1flag = 0
cost2flag = 0
cost3flag = 0
cost4flag = 0
cost5flag = 0
cost6flag = 0
cost7flag = 0
cost8flag = 0
costflag5 = 0
costflag6 = 0
prev_yellow_pixel_count = 0
print(cost1flag, cost2flag, cost3flag, cost4flag, cost5flag, cost6flag, cost7flag, cost8flag)
# if keyboard.is_pressed('f'):
# # 截取屏幕图像并保存到指定路径
# CV2.imwrite('screen.png', life)
time.sleep(0.1)
屏幕大小1920×1080，浏览器缩放125%
几个cost点是12，55，93，142，180，227，285，341
