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安装库 

pip install Pillow
pip install opencv-python

confidence作用

confidence 参数是用于指定图像匹配的信度（或置信度）的，它表示图像匹配的准确程度。这个参数的值在 0 到 1 之间，数值越高表示匹配的要求越严格。
具体来说，confidence 参数用于调整在屏幕上搜索目标图像时的匹配精度：
0.0 表示完全不匹配。
1.0 表示完全匹配。
在实际应用中，图像匹配的信度可以帮助你处理一些图像上的细微差异。例如，屏幕上的图像可能因为分辨率、光线、颜色等原因与原始图像有些不同。通过调整 confidence 参数，你可以设置一个合理的阈值，使得图像匹配过程既不太严格（导致找不到图像），也不太宽松（导致误匹配）。
举个例子，如果你设置 confidence=0.8，那么只有当屏幕上的图像与目标图像的相似度达到 80% 以上时，才会被认为是匹配的。

识别图片点击

import pyautogui
import time
import osdef locate_and_click_image(image_path, retry_interval=2, max_retries=5, click_count=1, confidence=None):"""定位图片并点击指定次数。:param image_path: 图片路径:param retry_interval: 重试间隔时间（秒）:param max_retries: 最大重试次数:param click_count: 点击次数:param confidence: 图像匹配的信度（0到1之间），需要安装 OpenCV:return: 图片的位置 (x, y, width, height) 或 None（如果未找到）"""if not os.path.isfile(image_path):print(f"错误：图片路径无效或文件不存在: {image_path}")return Noneretries = 0while retries < max_retries:try:if confidence is not None:location = pyautogui.locateOnScreen(image_path, confidence=confidence)else:location = pyautogui.locateOnScreen(image_path)if location is not None:print(f"找到图片: {image_path}，位置: {location}")center = pyautogui.center(location)for _ in range(click_count):pyautogui.click(center)print(f"点击图片中心位置。点击次数：{_ + 1}")return locationelse:print(f"未找到图片: {image_path}，{retry_interval}秒后重试...（重试次数: {retries + 1}/{max_retries}）")time.sleep(retry_interval)retries += 1except pyautogui.ImageNotFoundException:print(f"未找到图片: {image_path}，{retry_interval}秒后重试...（重试次数: {retries + 1}/{max_retries}）")time.sleep(retry_interval)retries += 1print(f"达到最大重试次数: {max_retries}，未找到图片: {image_path}")return Nonedef main():image_path = '1.png'  # 替换为你的图片路径retry_interval = 2max_retries = 5click_count = 1confidence = 0.8  # 如果不使用 OpenCV，请将此参数设置为 Nonelocation = locate_and_click_image(image_path, retry_interval, max_retries, click_count, confidence)if location:print("操作完成。")else:print("未能定位到图片，程序结束。")if __name__ == "__main__":locate_and_click_image('1.png', retry_interval=2, max_retries=5, click_count=2, confidence=0.8)

优化代码，识别多张图片并点击

import pyautogui
import time
import osdef locate_and_click_image(path, retry_interval=2, max_retries=5, click_count=1, confidence=None):if not os.path.isfile(path):print(f"错误：图片路径无效或文件不存在: {path}")return Noneretries = 0while retries < max_retries:try:if confidence is not None:location = pyautogui.locateOnScreen(path, confidence=confidence)else:location = pyautogui.locateOnScreen(path)if location is not None:print(f"找到图片: {path}，位置: {location}")center = pyautogui.center(location)for _ in range(click_count):pyautogui.click(center)print(f"点击图片中心位置。点击次数：{_ + 1}")return locationelse:print(f"未找到图片: {path}，{retry_interval}秒后重试...（重试次数: {retries + 1}/{max_retries}）")time.sleep(retry_interval)retries += 1except pyautogui.ImageNotFoundException:print(f"未找到图片: {path}，{retry_interval}秒后重试...（重试次数: {retries + 1}/{max_retries}）")time.sleep(retry_interval)retries += 1print(f"达到最大重试次数: {max_retries}，未找到图片: {path}")return Nonedef main():images = [{'path': '1.png', 'retry_interval': 2, 'max_retries': 5, 'click_count': 1, 'confidence': 0.8},{'path': '3.png', 'retry_interval': 2, 'max_retries': 5, 'click_count': 1, 'confidence': 0.8},# 添加更多图片]for image in images:location = locate_and_click_image(**image)if location:print(f"图片 {image['path']} 操作完成。")else:print(f"未能定位到图片 {image['path']}，程序结束。")if __name__ == "__main__":main()

优化代码，识别多张图片，只要识别到图片就结束循环

import pyautogui
import time
import osdef locate_and_click_image(path, retry_interval=2, max_retries=5, click_count=1, confidence=None):if not os.path.isfile(path):print(f"错误：图片路径无效或文件不存在: {path}")return Noneretries = 0while retries < max_retries:try:if confidence is not None:location = pyautogui.locateOnScreen(path, confidence=confidence)else:location = pyautogui.locateOnScreen(path)if location is not None:print(f"找到图片: {path}，位置: {location}")center = pyautogui.center(location)for _ in range(click_count):pyautogui.click(center)print(f"点击图片中心位置。点击次数：{_ + 1}")return Trueelse:print(f"未找到图片: {path}，{retry_interval}秒后重试...（重试次数: {retries + 1}/{max_retries}）")time.sleep(retry_interval)retries += 1except pyautogui.ImageNotFoundException:print(f"未找到图片: {path}，{retry_interval}秒后重试...（重试次数: {retries + 1}/{max_retries}）")time.sleep(retry_interval)retries += 1print(f"达到最大重试次数: {max_retries}，未找到图片: {path}")return Falsedef main():images = [{'path': '1.png', 'retry_interval': 2, 'max_retries': 5, 'click_count': 1, 'confidence': 0.8},{'path': '3.png', 'retry_interval': 2, 'max_retries': 5, 'click_count': 1, 'confidence': 0.8},{'path': '4.png', 'retry_interval': 2, 'max_retries': 5, 'click_count': 1, 'confidence': 0.8},# 添加更多图片]for image in images:success = locate_and_click_image(**image)if success:print(f"图片 {image['path']} 操作完成。")breakelse:print(f"未能定位到图片 {image['path']}。")if __name__ == "__main__":main()

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