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英杰之塔 13層 168360pt python全自動(dòng)凹分

2023-04-08 00:12 作者:君のいない景色  | 我要投稿

import CV2

import numpy as np

import pyautogui

import keyboard

import time

# 設(shè)置屏幕的監(jiān)視區(qū)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:

? ? # 截取監(jiān)視區(qū)域的屏幕圖像

? ? 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


? ? # 如果檢測(cè)到模板圖像,則模擬鼠標(biāo)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'):

? ? # ? ? # 截取屏幕圖像并保存到指定路徑

? ? # ? ? CV2.imwrite('screen.png', life)

? ? time.sleep(0.1)

屏幕大小1920×1080,瀏覽器縮放125%

幾個(gè)cost點(diǎn)是12,55,93,142,180,227,285,341


英杰之塔 13層 168360pt python全自動(dòng)凹分的評(píng)論 (共 條)

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