下载地址：http://m.pan38.com/download.php?code=RQEBET 提取码：6666

基于OCR的屏幕自动点击器开发指南
一、技术原理
本方案采用OCR文字识别+图像匹配双模式识别技术：
OCR引擎识别屏幕文字内容
OpenCV模板匹配识别图形元素
PyAutoGUI实现精准鼠标控
多线程处理保证实时性
二、核心代码实现

import cv2
import numpy as np
import pyautogui
import pytesseract
import time
import threading
from PIL import ImageGrab

class AutoClicker:
def init(self):
self.running = False
self.ocr_config = r'--oem 3 --psm 6'
self.template_threshold = 0.8
self.refresh_rate = 0.5

def start_clicker(self):
    self.running = True
    self.thread = threading.Thread(target=self._monitor)
    self.thread.start()

def stop_clicker(self):
    self.running = False
    self.thread.join()

def _monitor(self):
    while self.running:
        screenshot = ImageGrab.grab()
        screen_np = np.array(screenshot)

        # OCR模式处理
        text_data = pytesseract.image_to_string(screen_np, config=self.ocr_config)
        if "目标按钮" in text_data:
            self._click_text_target("目标按钮", screen_np)

        # 图像模板匹配模式
        templates = ["confirm.png", "accept.png", "next.png"]
        for template in templates:
            self._match_template(template, screen_np)

        time.sleep(self.refresh_rate)

def _click_text_target(self, target_text, screen_np):
    data = pytesseract.image_to_data(screen_np, config=self.ocr_config, output_type=pytesseract.Output.DICT)

    for i, text in enumerate(data['text']):
        if target_text in text:
            x = data['left'][i]
            y = data['top'][i]
            w = data['width'][i]
            h = data['height'][i]

            center_x = x + w//2
            center_y = y + h//2

            pyautogui.click(center_x, center_y)
            print(f"Clicked text target at ({center_x}, {center_y})")
            return True
    return False

def _match_template(self, template_path, screen_np):
    try:
        template = cv2.imread(template_path, 0)
        if template is None:
            return False

        screen_gray = cv2.cvtColor(screen_np, cv2.COLOR_BGR2GRAY)
        res = cv2.matchTemplate(screen_gray, template, cv2.TM_CCOEFF_NORMED)

        loc = np.where(res >= self.template_threshold)
        for pt in zip(*loc[::-1]):
            center_x = pt[0] + template.shape[1]//2
            center_y = pt[1] + template.shape[0]//2

            pyautogui.click(center_x, center_y)
            print(f"Clicked template {template_path} at ({center_x}, {center_y})")
            return True
    except Exception as e:
        print(f"Template matching error: {e}")
    return False

使用示例

if name == "main":
clicker = AutoClicker()
try:
clicker.start_clicker()
while True:
time.sleep(1)
except KeyboardInterrupt:
clicker.stop_clicker()

三、功能扩展

配置文件支持：读取JSON配置定义点击规则

多显示器适配：通过screeninfo库获取多屏信息

性能优化：使用CUDA加速OpenCV处理

日志系统：记录操作历史便于调试

图形界面：PyQt5构建管理界面

四、注意事项

管理员权限运行（Windows系统）

屏幕缩放设置为100%

不同语言需调整Tesseract训练数据

需要安装VC++运行库