代码如下：

<code>import cv2

import numpy as np

import pyautogui

import pytesseract

import keyboard

import sys

import time

# 下面这行的路径改成自己安装的tesseract的路径

pytesseract.pytesseract.tesseract_cmd = r'D:\Tesseract-OCR\tesseract.exe'

not_found_count = 0

last_not_found_time = 0

last_numbers = None

skip_count = 0

def capture_area():

region = (1614, 312, 800, 298) #这里改成自己屏幕里题目的位置（x,y,width,height）

screenshot = pyautogui.screenshot(region=region)

return np.array(screenshot)

def recognize_numbers(image):

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

_, thresh = cv2.threshold(gray, 150, 255, cv2.THRESH_BINARY)

text = pytesseract.image_to_string(thresh, config='--psm 6')code>

numbers = [int(s) for s in text.split() if s.isdigit()]

return numbers

def draw_comparison(numbers):

global not_found_count, last_not_found_time, last_numbers, skip_count

if len(numbers) < 2:

current_time = time.time()

if not_found_count == 0 or current_time - last_not_found_time > 1:

not_found_count = 1

else:

not_found_count += 1

last_not_found_time = current_time

print("未识别到题目")

if not_found_count >= 25:

pyautogui.click(280, 840) # 点击“开心收下”按钮

time.sleep(0.3)

pyautogui.click(410, 990) # 点击“继续”按钮

time.sleep(0.3)

pyautogui.click(280, 910) # 点击“继续PK”按钮

time.sleep(13)

print("准备重新开始程序...")

time.sleep(0.3)

main()

return

if last_numbers is not None and last_numbers == numbers:

skip_count += 1

print(f"当前结果与上次相同，跳过此次执行 (次数: { skip_count})")

if skip_count > 5: # 超过5次则强制执行一次

skip_count = 0 # 重置计数器

print("跳过次数超过5次，强制执行一次")

# 在这里可以直接执行绘制逻辑，或根据需要处理

first, second = numbers[0], numbers[1]

origin_x, origin_y = 2015, 1125 # 绘制区域坐标

size = 50

if first > second:

print(f"{ first} > { second}")

draw_greater_than(origin_x, origin_y, size)

elif first < second:

print(f"{ first} < { second}")

draw_less_than(origin_x, origin_y, size)

return

first, second = numbers[0], numbers[1]

origin_x, origin_y = 250, 650 # 绘制区域坐标

size = 50

if first > second:

print(f"{ first} > { second}")

draw_greater_than(origin_x, origin_y, size)

elif first < second:

print(f"{ first} < { second}")

draw_less_than(origin_x, origin_y, size)

not_found_count = 0

last_numbers = numbers # 更新 last_numbers 为当前数字

skip_count = 0 # 重置跳过次数

def draw_greater_than(origin_x, origin_y, size):

pyautogui.press(".") # 脚本快捷键,用于BlueStacks脚本管理器，这个是大于号的

def draw_less_than(origin_x, origin_y, size):

pyautogui.press(",") # 脚本快捷键，用于BlueStacks脚本管理器，这个是小于号的

def main():

keyboard.add_hotkey('=', lambda: sys.exit("进程已结束")) # 默认退出快捷键是 "="

try:

while True:

image = capture_area()

numbers = recognize_numbers(image)

draw_comparison(numbers)

time.sleep(0.7) # 每次绘制及识别的延迟

except SystemExit as e:

print(e)

if __name__ == "__main__":

main()

部署教程：

安装BlueStacks 5模拟器：

打开模拟器：绘制大于号小于号的脚本并绑定按键（大于号是’.’ 小于号是’,'）

安装tesseract（不会安装的话csdn搜安装教程），安装完成后第十行代码改成安装好的tesseract的路径

pycharm终端安装所需要的库：

<code>pip install opencv-python pyautogui pytesseract keyboard numpy

5. 用截图工具查找坐标并替换代码中的坐标

7. 运行程序