{"id":1188418,"date":"2025-01-15T20:17:05","date_gmt":"2025-01-15T12:17:05","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1188418.html"},"modified":"2025-01-15T20:17:08","modified_gmt":"2025-01-15T12:17:08","slug":"%e6%89%8b%e6%b8%b8%e4%b8%8apython%e5%a6%82%e4%bd%95%e5%88%b6%e4%bd%9c%e8%84%9a%e6%9c%ac","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1188418.html","title":{"rendered":"\u624b\u6e38\u4e0apython\u5982\u4f55\u5236\u4f5c\u811a\u672c"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25140719\/8c7d760d-e43c-4392-944f-e0bfbcf98339.webp\" alt=\"\u624b\u6e38\u4e0apython\u5982\u4f55\u5236\u4f5c\u811a\u672c\" \/><\/p>\n<p><p> \u5728\u624b\u6e38\u4e0a\u4f7f\u7528Python\u5236\u4f5c\u811a\u672c\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c<strong>\u53ef\u4ee5\u901a\u8fc7\u6a21\u62df\u70b9\u51fb\u3001\u64cd\u4f5c\u5c4f\u5e55\u3001\u81ea\u52a8\u5316\u4efb\u52a1\u3001\u56fe\u50cf\u8bc6\u522b\u7b49\u65b9\u5f0f\u6765\u5b9e\u73b0<\/strong>\u3002\u5176\u4e2d\uff0c\u6a21\u62df\u70b9\u51fb\u662f\u6700\u5e38\u89c1\u548c\u7b80\u5355\u7684\u4e00\u79cd\u65b9\u6cd5\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e9bPython\u5e93\u548c\u5de5\u5177\uff0c\u6bd4\u5982<code>pyautogui<\/code>\uff0c<code>adb<\/code>\uff0c<code>opencv<\/code>\u7b49\uff0c\u6765\u5b9e\u73b0\u8fd9\u4e9b\u529f\u80fd\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177\u5236\u4f5c\u4e00\u4e2a\u7b80\u5355\u7684\u624b\u6e38\u811a\u672c\u3002<\/p>\n<\/p>\n<p><h2>\u4e00\u3001\u73af\u5883\u51c6\u5907<\/h2>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u7f16\u5199\u811a\u672c\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u5148\u51c6\u5907\u597d\u5f00\u53d1\u73af\u5883\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5fc5\u8981\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n<p><h3>1.\u5b89\u88c5Python<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u4f60\u9700\u8981\u786e\u4fdd\u4f60\u7684\u7535\u8111\u4e0a\u5b89\u88c5\u4e86Python\u3002\u5982\u679c\u8fd8\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4ecePython\u5b98\u7f51\uff08<a href=\"https:\/\/www.python.org\/%EF%BC%89%E4%B8%8B%E8%BD%BD%E5%B9%B6%E5%AE%89%E8%A3%85%E6%9C%80%E6%96%B0%E7%89%88%E6%9C%AC%E7%9A%84Python%E3%80%82%E5%AE%89%E8%A3%85%E5%AE%8C%E6%88%90%E5%90%8E%EF%BC%8C%E7%A1%AE%E4%BF%9DPython%E7%9A%84%E8%B7%AF%E5%BE%84%E5%B7%B2%E7%BB%8F%E6%B7%BB%E5%8A%A0%E5%88%B0%E7%B3%BB%E7%BB%9F%E7%9A%84%E7%8E%AF%E5%A2%83%E5%8F%98%E9%87%8F%E4%B8%AD%E3%80%82\">https:\/\/www.python.org\/\uff09\u4e0b\u8f7d\u5e76\u5b89\u88c5\u6700\u65b0\u7248\u672c\u7684Python\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u786e\u4fddPython\u7684\u8def\u5f84\u5df2\u7ecf\u6dfb\u52a0\u5230\u7cfb\u7edf\u7684\u73af\u5883\u53d8\u91cf\u4e2d\u3002<\/a><\/p>\n<\/p>\n<p><h3>2.\u5b89\u88c5ADB\u5de5\u5177<\/h3>\n<\/p>\n<p><p>ADB\uff08Android Debug Bridge\uff09\u662f\u4e00\u4e2a\u901a\u7528\u7684\u547d\u4ee4\u884c\u5de5\u5177\uff0c\u7528\u4e8e\u4e0eAndroid\u8bbe\u5907\u8fdb\u884c\u901a\u4fe1\u3002\u4f60\u53ef\u4ee5\u4eceAndroid SDK\u4e2d\u83b7\u53d6ADB\u5de5\u5177\uff0c\u4e5f\u53ef\u4ee5\u5355\u72ec\u4e0b\u8f7dADB\u5de5\u5177\u5305\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5c06ADB\u5de5\u5177\u7684\u8def\u5f84\u6dfb\u52a0\u5230\u7cfb\u7edf\u7684\u73af\u5883\u53d8\u91cf\u4e2d\uff0c\u4ee5\u4fbf\u5728\u547d\u4ee4\u884c\u4e2d\u4f7f\u7528\u3002<\/p>\n<\/p>\n<p><h3>3.\u5b89\u88c5\u6240\u9700\u7684Python\u5e93<\/h3>\n<\/p>\n<p><p>\u6211\u4eec\u9700\u8981\u5b89\u88c5\u4e00\u4e9bPython\u5e93\u6765\u5e2e\u52a9\u6211\u4eec\u7f16\u5199\u811a\u672c\u3002\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u6765\u5b89\u88c5\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-sh\">pip install pyautogui<\/p>\n<p>pip install opencv-python<\/p>\n<p>pip install numpy<\/p>\n<p>pip install pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e8c\u3001\u8fde\u63a5\u8bbe\u5907<\/h2>\n<\/p>\n<p><h3>1.\u901a\u8fc7USB\u8fde\u63a5\u8bbe\u5907<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7USB\u6570\u636e\u7ebf\u5c06\u4f60\u7684Android\u8bbe\u5907\u8fde\u63a5\u5230\u7535\u8111\u4e0a\uff0c\u5e76\u786e\u4fdd\u8bbe\u5907\u4e0a\u7684\u5f00\u53d1\u8005\u9009\u9879\u548cUSB\u8c03\u8bd5\u529f\u80fd\u5df2\u5f00\u542f\u3002\u5728\u7ec8\u7aef\u6216\u547d\u4ee4\u63d0\u793a\u7b26\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff0c\u786e\u4fddADB\u5df2\u6210\u529f\u8fde\u63a5\u5230\u8bbe\u5907\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-sh\">adb devices<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4f60\u5e94\u8be5\u4f1a\u770b\u5230\u5df2\u8fde\u63a5\u8bbe\u5907\u7684\u5e8f\u5217\u53f7\u3002\u5982\u679c\u6ca1\u6709\uff0c\u8bf7\u68c0\u67e5USB\u8fde\u63a5\u548c\u8bbe\u5907\u8bbe\u7f6e\u3002<\/p>\n<\/p>\n<p><h3>2.\u901a\u8fc7WiFi\u8fde\u63a5\u8bbe\u5907<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u5e0c\u671b\u901a\u8fc7WiFi\u6765\u8fde\u63a5\u8bbe\u5907\uff0c\u53ef\u4ee5\u6309\u7167\u4ee5\u4e0b\u6b65\u9aa4\u8fdb\u884c\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u786e\u4fdd\u4f60\u7684\u7535\u8111\u548cAndroid\u8bbe\u5907\u8fde\u63a5\u5230\u540c\u4e00\u4e2aWiFi\u7f51\u7edc\u3002<\/li>\n<li>\u901a\u8fc7USB\u8fde\u63a5\u8bbe\u5907\uff0c\u5e76\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u83b7\u53d6\u8bbe\u5907\u7684IP\u5730\u5740\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-sh\">adb shell ip -f inet addr show wlan0<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li>\u8bb0\u4e0b\u8bbe\u5907\u7684IP\u5730\u5740\uff0c\u5e76\u65ad\u5f00USB\u8fde\u63a5\u3002<\/li>\n<li>\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff0c\u901a\u8fc7WiFi\u8fde\u63a5\u8bbe\u5907\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-sh\">adb connect &lt;\u8bbe\u5907IP\u5730\u5740&gt;<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e09\u3001\u7f16\u5199\u811a\u672c<\/h2>\n<\/p>\n<p><h3>1.\u6a21\u62df\u70b9\u51fb<\/h3>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>pyautogui<\/code>\u5e93\u6765\u6a21\u62df\u9f20\u6807\u70b9\u51fb\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u811a\u672c\uff0c\u6f14\u793a\u5982\u4f55\u5728\u5c4f\u5e55\u4e0a\u7684\u6307\u5b9a\u4f4d\u7f6e\u6a21\u62df\u70b9\u51fb\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pyautogui<\/p>\n<p>import time<\/p>\n<h2><strong>\u7b49\u5f853\u79d2\u949f\uff0c\u4ee5\u4fbf\u5207\u6362\u5230\u76ee\u6807\u5e94\u7528\u7a0b\u5e8f<\/strong><\/h2>\n<p>time.sleep(3)<\/p>\n<h2><strong>\u5728\u5c4f\u5e55\u4e0a\u7684\u6307\u5b9a\u4f4d\u7f6e\u6a21\u62df\u70b9\u51fb\uff08\u4f8b\u5982\u5750\u6807\u4e3a(100, 200)\uff09<\/strong><\/h2>\n<p>pyautogui.click(x=100, y=200)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2.\u6a21\u62df\u6ed1\u52a8<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u70b9\u51fb\u4e4b\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528<code>pyautogui<\/code>\u5e93\u6a21\u62df\u6ed1\u52a8\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u811a\u672c\uff0c\u6f14\u793a\u5982\u4f55\u5728\u5c4f\u5e55\u4e0a\u6a21\u62df\u6ed1\u52a8\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pyautogui<\/p>\n<p>import time<\/p>\n<h2><strong>\u7b49\u5f853\u79d2\u949f\uff0c\u4ee5\u4fbf\u5207\u6362\u5230\u76ee\u6807\u5e94\u7528\u7a0b\u5e8f<\/strong><\/h2>\n<p>time.sleep(3)<\/p>\n<h2><strong>\u5728\u5c4f\u5e55\u4e0a\u4ece(100, 200)\u6ed1\u52a8\u5230(300, 400)<\/strong><\/h2>\n<p>pyautogui.dragTo(x=300, y=400, duration=1, button=&#39;left&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3.\u56fe\u50cf\u8bc6\u522b<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u5b9e\u73b0\u66f4\u590d\u6742\u7684\u811a\u672c\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>opencv<\/code>\u548c<code>numpy<\/code>\u5e93\u6765\u8fdb\u884c\u56fe\u50cf\u8bc6\u522b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u811a\u672c\uff0c\u6f14\u793a\u5982\u4f55\u5728\u5c4f\u5e55\u4e0a\u627e\u5230\u6307\u5b9a\u7684\u56fe\u50cf\uff0c\u5e76\u5728\u5176\u4f4d\u7f6e\u8fdb\u884c\u70b9\u51fb\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<p>import pyautogui<\/p>\n<p>import time<\/p>\n<p>from PIL import ImageGrab<\/p>\n<h2><strong>\u622a\u5c4f\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aOpenCV\u683c\u5f0f<\/strong><\/h2>\n<p>screenshot = ImageGrab.grab()<\/p>\n<p>screenshot_np = np.array(screenshot)<\/p>\n<p>screenshot_cv = cv2.cvtColor(screenshot_np, cv2.COLOR_RGB2BGR)<\/p>\n<h2><strong>\u8bfb\u53d6\u76ee\u6807\u56fe\u50cf<\/strong><\/h2>\n<p>target_image = cv2.imread(&#39;target.png&#39;)<\/p>\n<h2><strong>\u5728\u5c4f\u5e55\u622a\u56fe\u4e2d\u67e5\u627e\u76ee\u6807\u56fe\u50cf<\/strong><\/h2>\n<p>result = cv2.matchTemplate(screenshot_cv, target_image, cv2.TM_CCOEFF_NORMED)<\/p>\n<p>min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)<\/p>\n<h2><strong>\u5982\u679c\u5339\u914d\u5ea6\u8d85\u8fc7\u67d0\u4e2a\u9608\u503c\uff0c\u5219\u5728\u76ee\u6807\u56fe\u50cf\u7684\u4f4d\u7f6e\u70b9\u51fb<\/strong><\/h2>\n<p>threshold = 0.8<\/p>\n<p>if max_val &gt; threshold:<\/p>\n<p>    target_x, target_y = max_loc<\/p>\n<p>    pyautogui.click(x=target_x, y=target_y)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>4.\u81ea\u52a8\u5316\u4efb\u52a1<\/h3>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u5c06\u70b9\u51fb\u3001\u6ed1\u52a8\u548c\u56fe\u50cf\u8bc6\u522b\u7b49\u64cd\u4f5c\u7ec4\u5408\u8d77\u6765\uff0c\u5b9e\u73b0\u81ea\u52a8\u5316\u4efb\u52a1\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u811a\u672c\uff0c\u6f14\u793a\u5982\u4f55\u5728\u6e38\u620f\u4e2d\u81ea\u52a8\u5b8c\u6210\u4e00\u4e2a\u4efb\u52a1\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<p>import pyautogui<\/p>\n<p>import time<\/p>\n<p>from PIL import ImageGrab<\/p>\n<p>def find_and_click(image_path, threshold=0.8):<\/p>\n<p>    # \u622a\u5c4f\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aOpenCV\u683c\u5f0f<\/p>\n<p>    screenshot = ImageGrab.grab()<\/p>\n<p>    screenshot_np = np.array(screenshot)<\/p>\n<p>    screenshot_cv = cv2.cvtColor(screenshot_np, cv2.COLOR_RGB2BGR)<\/p>\n<p>    # \u8bfb\u53d6\u76ee\u6807\u56fe\u50cf<\/p>\n<p>    target_image = cv2.imread(image_path)<\/p>\n<p>    # \u5728\u5c4f\u5e55\u622a\u56fe\u4e2d\u67e5\u627e\u76ee\u6807\u56fe\u50cf<\/p>\n<p>    result = cv2.matchTemplate(screenshot_cv, target_image, cv2.TM_CCOEFF_NORMED)<\/p>\n<p>    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)<\/p>\n<p>    # \u5982\u679c\u5339\u914d\u5ea6\u8d85\u8fc7\u67d0\u4e2a\u9608\u503c\uff0c\u5219\u5728\u76ee\u6807\u56fe\u50cf\u7684\u4f4d\u7f6e\u70b9\u51fb<\/p>\n<p>    if max_val &gt; threshold:<\/p>\n<p>        target_x, target_y = max_loc<\/p>\n<p>        pyautogui.click(x=target_x, y=target_y)<\/p>\n<p>        return True<\/p>\n<p>    return False<\/p>\n<h2><strong>\u7b49\u5f853\u79d2\u949f\uff0c\u4ee5\u4fbf\u5207\u6362\u5230\u76ee\u6807\u5e94\u7528\u7a0b\u5e8f<\/strong><\/h2>\n<p>time.sleep(3)<\/p>\n<h2><strong>\u5728\u6e38\u620f\u4e2d\u81ea\u52a8\u5b8c\u6210\u4e00\u4e2a\u4efb\u52a1<\/strong><\/h2>\n<p>while True:<\/p>\n<p>    if find_and_click(&#39;start_button.png&#39;):<\/p>\n<p>        time.sleep(2)<\/p>\n<p>    if find_and_click(&#39;collect_reward.png&#39;):<\/p>\n<p>        time.sleep(2)<\/p>\n<p>    if find_and_click(&#39;next_button.png&#39;):<\/p>\n<p>        time.sleep(2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u56db\u3001\u4f18\u5316\u4e0e\u8c03\u8bd5<\/h2>\n<\/p>\n<p><h3>1.\u8c03\u8bd5\u811a\u672c<\/h3>\n<\/p>\n<p><p>\u5728\u7f16\u5199\u548c\u8fd0\u884c\u811a\u672c\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u95ee\u9898\u3002\u4e3a\u4e86\u66f4\u597d\u5730\u8c03\u8bd5\u811a\u672c\uff0c\u53ef\u4ee5\u5728\u4ee3\u7801\u4e2d\u6dfb\u52a0\u4e00\u4e9b\u65e5\u5fd7\u4fe1\u606f\uff0c\u5e2e\u52a9\u6211\u4eec\u4e86\u89e3\u811a\u672c\u7684\u8fd0\u884c\u72b6\u6001\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import logging<\/p>\n<p>logging.basicConfig(level=logging.INFO)<\/p>\n<p>def find_and_click(image_path, threshold=0.8):<\/p>\n<p>    logging.info(f&#39;Trying to find and click {image_path}&#39;)<\/p>\n<p>    # \u622a\u5c4f\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aOpenCV\u683c\u5f0f<\/p>\n<p>    screenshot = ImageGrab.grab()<\/p>\n<p>    screenshot_np = np.array(screenshot)<\/p>\n<p>    screenshot_cv = cv2.cvtColor(screenshot_np, cv2.COLOR_RGB2BGR)<\/p>\n<p>    # \u8bfb\u53d6\u76ee\u6807\u56fe\u50cf<\/p>\n<p>    target_image = cv2.imread(image_path)<\/p>\n<p>    # \u5728\u5c4f\u5e55\u622a\u56fe\u4e2d\u67e5\u627e\u76ee\u6807\u56fe\u50cf<\/p>\n<p>    result = cv2.matchTemplate(screenshot_cv, target_image, cv2.TM_CCOEFF_NORMED)<\/p>\n<p>    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)<\/p>\n<p>    logging.info(f&#39;Match value: {max_val}&#39;)<\/p>\n<p>    # \u5982\u679c\u5339\u914d\u5ea6\u8d85\u8fc7\u67d0\u4e2a\u9608\u503c\uff0c\u5219\u5728\u76ee\u6807\u56fe\u50cf\u7684\u4f4d\u7f6e\u70b9\u51fb<\/p>\n<p>    if max_val &gt; threshold:<\/p>\n<p>        target_x, target_y = max_loc<\/p>\n<p>        pyautogui.click(x=target_x, y=target_y)<\/p>\n<p>        logging.info(f&#39;Clicked at ({target_x}, {target_y})&#39;)<\/p>\n<p>        return True<\/p>\n<p>    return False<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u6dfb\u52a0\u8fd9\u4e9b\u65e5\u5fd7\u4fe1\u606f\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u6e05\u695a\u5730\u4e86\u89e3\u811a\u672c\u7684\u8fd0\u884c\u8fc7\u7a0b\uff0c\u5e76\u66f4\u5bb9\u6613\u5730\u627e\u5230\u548c\u89e3\u51b3\u95ee\u9898\u3002<\/p>\n<\/p>\n<p><h3>2.\u4f18\u5316\u56fe\u50cf\u8bc6\u522b<\/h3>\n<\/p>\n<p><p>\u5728\u8fdb\u884c\u56fe\u50cf\u8bc6\u522b\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u4e00\u4e9b\u53c2\u6570\u548c\u65b9\u6cd5\u6765\u63d0\u9ad8\u8bc6\u522b\u7684\u51c6\u786e\u6027\u548c\u901f\u5ea6\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4f7f\u7528\u4e0d\u540c\u7684\u56fe\u50cf\u5339\u914d\u65b9\u6cd5\uff0c\u6216\u8005\u8c03\u6574\u56fe\u50cf\u7684\u9884\u5904\u7406\u6b65\u9aa4\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4f18\u5316\u56fe\u50cf\u8bc6\u522b\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def find_and_click(image_path, threshold=0.8):<\/p>\n<p>    # \u622a\u5c4f\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aOpenCV\u683c\u5f0f<\/p>\n<p>    screenshot = ImageGrab.grab()<\/p>\n<p>    screenshot_np = np.array(screenshot)<\/p>\n<p>    screenshot_cv = cv2.cvtColor(screenshot_np, cv2.COLOR_RGB2BGR)<\/p>\n<p>    # \u8bfb\u53d6\u76ee\u6807\u56fe\u50cf<\/p>\n<p>    target_image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)<\/p>\n<p>    # \u8f6c\u6362\u5c4f\u5e55\u622a\u56fe\u4e3a\u7070\u5ea6\u56fe\u50cf<\/p>\n<p>    screenshot_gray = cv2.cvtColor(screenshot_cv, cv2.COLOR_BGR2GRAY)<\/p>\n<p>    # \u5728\u5c4f\u5e55\u622a\u56fe\u4e2d\u67e5\u627e\u76ee\u6807\u56fe\u50cf<\/p>\n<p>    result = cv2.matchTemplate(screenshot_gray, target_image, cv2.TM_CCOEFF_NORMED)<\/p>\n<p>    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)<\/p>\n<p>    # \u5982\u679c\u5339\u914d\u5ea6\u8d85\u8fc7\u67d0\u4e2a\u9608\u503c\uff0c\u5219\u5728\u76ee\u6807\u56fe\u50cf\u7684\u4f4d\u7f6e\u70b9\u51fb<\/p>\n<p>    if max_val &gt; threshold:<\/p>\n<p>        target_x, target_y = max_loc<\/p>\n<p>        pyautogui.click(x=target_x, y=target_y)<\/p>\n<p>        return True<\/p>\n<p>    return False<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\uff0c\u6211\u4eec\u53ef\u4ee5\u51cf\u5c11\u8ba1\u7b97\u91cf\uff0c\u4ece\u800c\u63d0\u9ad8\u56fe\u50cf\u8bc6\u522b\u7684\u901f\u5ea6\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4f7f\u7528\u5176\u4ed6\u56fe\u50cf\u5339\u914d\u65b9\u6cd5\uff0c\u5982<code>cv2.TM_SQDIFF_NORMED<\/code>\u3001<code>cv2.TM_CCORR_NORMED<\/code>\u7b49\uff0c\u4ee5\u63d0\u9ad8\u8bc6\u522b\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n<p><h2>\u4e94\u3001\u8fdb\u9636\u5e94\u7528<\/h2>\n<\/p>\n<p><h3>1.\u591a\u7ebf\u7a0b\u548c\u5f02\u6b65\u7f16\u7a0b<\/h3>\n<\/p>\n<p><p>\u5728\u7f16\u5199\u590d\u6742\u7684\u811a\u672c\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5904\u7406\u591a\u4e2a\u4efb\u52a1\uff0c\u4f8b\u5982\u540c\u65f6\u8fdb\u884c\u56fe\u50cf\u8bc6\u522b\u548c\u6a21\u62df\u70b9\u51fb\u64cd\u4f5c\u3002\u4e3a\u4e86\u63d0\u9ad8\u811a\u672c\u7684\u6027\u80fd\u548c\u54cd\u5e94\u901f\u5ea6\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u7ebf\u7a0b\u6216\u5f02\u6b65\u7f16\u7a0b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u4f7f\u7528\u591a\u7ebf\u7a0b\u5b9e\u73b0\u5e76\u53d1\u4efb\u52a1\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import threading<\/p>\n<p>import cv2<\/p>\n<p>import numpy as np<\/p>\n<p>import pyautogui<\/p>\n<p>import time<\/p>\n<p>from PIL import ImageGrab<\/p>\n<p>def find_and_click(image_path, threshold=0.8):<\/p>\n<p>    while True:<\/p>\n<p>        # \u622a\u5c4f\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aOpenCV\u683c\u5f0f<\/p>\n<p>        screenshot = ImageGrab.grab()<\/p>\n<p>        screenshot_np = np.array(screenshot)<\/p>\n<p>        screenshot_cv = cv2.cvtColor(screenshot_np, cv2.COLOR_RGB2BGR)<\/p>\n<p>        # \u8bfb\u53d6\u76ee\u6807\u56fe\u50cf<\/p>\n<p>        target_image = cv2.imread(image_path)<\/p>\n<p>        # \u5728\u5c4f\u5e55\u622a\u56fe\u4e2d\u67e5\u627e\u76ee\u6807\u56fe\u50cf<\/p>\n<p>        result = cv2.matchTemplate(screenshot_cv, target_image, cv2.TM_CCOEFF_NORMED)<\/p>\n<p>        min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)<\/p>\n<p>        # \u5982\u679c\u5339\u914d\u5ea6\u8d85\u8fc7\u67d0\u4e2a\u9608\u503c\uff0c\u5219\u5728\u76ee\u6807\u56fe\u50cf\u7684\u4f4d\u7f6e\u70b9\u51fb<\/p>\n<p>        if max_val &gt; threshold:<\/p>\n<p>            target_x, target_y = max_loc<\/p>\n<p>            pyautogui.click(x=target_x, y=target_y)<\/p>\n<p>            time.sleep(1)<\/p>\n<h2><strong>\u521b\u5efa\u591a\u4e2a\u7ebf\u7a0b\u6765\u5904\u7406\u4e0d\u540c\u7684\u56fe\u50cf\u8bc6\u522b\u548c\u70b9\u51fb\u4efb\u52a1<\/strong><\/h2>\n<p>thread1 = threading.Thread(target=find_and_click, args=(&#39;start_button.png&#39;,))<\/p>\n<p>thread2 = threading.Thread(target=find_and_click, args=(&#39;collect_reward.png&#39;,))<\/p>\n<p>thread3 = threading.Thread(target=find_and_click, args=(&#39;next_button.png&#39;,))<\/p>\n<h2><strong>\u542f\u52a8\u7ebf\u7a0b<\/strong><\/h2>\n<p>thread1.start()<\/p>\n<p>thread2.start()<\/p>\n<p>thread3.start()<\/p>\n<h2><strong>\u7b49\u5f85\u7ebf\u7a0b\u7ed3\u675f<\/strong><\/h2>\n<p>thread1.join()<\/p>\n<p>thread2.join()<\/p>\n<p>thread3.join()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4f7f\u7528\u591a\u7ebf\u7a0b\uff0c\u6211\u4eec\u53ef\u4ee5\u540c\u65f6\u8fdb\u884c\u591a\u4e2a\u56fe\u50cf\u8bc6\u522b\u548c\u70b9\u51fb\u4efb\u52a1\uff0c\u63d0\u9ad8\u811a\u672c\u7684\u6548\u7387\u548c\u54cd\u5e94\u901f\u5ea6\u3002<\/p>\n<\/p>\n<p><h3>2.\u5f02\u5e38\u5904\u7406<\/h3>\n<\/p>\n<p><p>\u5728\u7f16\u5199\u811a\u672c\u65f6\uff0c\u6211\u4eec\u9700\u8981\u8003\u8651\u4e00\u4e9b\u53ef\u80fd\u51fa\u73b0\u7684\u5f02\u5e38\u60c5\u51b5\uff0c\u5e76\u8fdb\u884c\u9002\u5f53\u7684\u5904\u7406\u3002\u4f8b\u5982\uff0c\u8bbe\u5907\u8fde\u63a5\u4e2d\u65ad\u3001\u56fe\u50cf\u8bc6\u522b\u5931\u8d25\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u5904\u7406\u8fd9\u4e9b\u5f02\u5e38\u60c5\u51b5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import logging<\/p>\n<p>import cv2<\/p>\n<p>import numpy as np<\/p>\n<p>import pyautogui<\/p>\n<p>import time<\/p>\n<p>from PIL import ImageGrab<\/p>\n<p>logging.basicConfig(level=logging.INFO)<\/p>\n<p>def find_and_click(image_path, threshold=0.8):<\/p>\n<p>    try:<\/p>\n<p>        logging.info(f&#39;Trying to find and click {image_path}&#39;)<\/p>\n<p>        # \u622a\u5c4f\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aOpenCV\u683c\u5f0f<\/p>\n<p>        screenshot = ImageGrab.grab()<\/p>\n<p>        screenshot_np = np.array(screenshot)<\/p>\n<p>        screenshot_cv = cv2.cvtColor(screenshot_np, cv2.COLOR_RGB2BGR)<\/p>\n<p>        # \u8bfb\u53d6\u76ee\u6807\u56fe\u50cf<\/p>\n<p>        target_image = cv2.imread(image_path)<\/p>\n<p>        # \u5728\u5c4f\u5e55\u622a\u56fe\u4e2d\u67e5\u627e\u76ee\u6807\u56fe\u50cf<\/p>\n<p>        result = cv2.matchTemplate(screenshot_cv, target_image, cv2.TM_CCOEFF_NORMED)<\/p>\n<p>        min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)<\/p>\n<p>        logging.info(f&#39;Match value: {max_val}&#39;)<\/p>\n<p>        # \u5982\u679c\u5339\u914d\u5ea6\u8d85\u8fc7\u67d0\u4e2a\u9608\u503c\uff0c\u5219\u5728\u76ee\u6807\u56fe\u50cf\u7684\u4f4d\u7f6e\u70b9\u51fb<\/p>\n<p>        if max_val &gt; threshold:<\/p>\n<p>            target_x, target_y = max_loc<\/p>\n<p>            pyautogui.click(x=target_x, y=target_y)<\/p>\n<p>            logging.info(f&#39;Clicked at ({target_x}, {target_y})&#39;)<\/p>\n<p>            return True<\/p>\n<p>        return False<\/p>\n<p>    except Exception as e:<\/p>\n<p>        logging.error(f&#39;Error occurred: {e}&#39;)<\/p>\n<p>        return False<\/p>\n<h2><strong>\u7b49\u5f853\u79d2\u949f\uff0c\u4ee5\u4fbf\u5207\u6362\u5230\u76ee\u6807\u5e94\u7528\u7a0b\u5e8f<\/strong><\/h2>\n<p>time.sleep(3)<\/p>\n<h2><strong>\u5728\u6e38\u620f\u4e2d\u81ea\u52a8\u5b8c\u6210\u4e00\u4e2a\u4efb\u52a1<\/strong><\/h2>\n<p>while True:<\/p>\n<p>    if find_and_click(&#39;start_button.png&#39;):<\/p>\n<p>        time.sleep(2)<\/p>\n<p>    if find_and_click(&#39;collect_reward.png&#39;):<\/p>\n<p>        time.sleep(2)<\/p>\n<p>    if find_and_click(&#39;next_button.png&#39;):<\/p>\n<p>        time.sleep(2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u6dfb\u52a0\u5f02\u5e38\u5904\u7406\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u7a33\u5b9a\u5730\u8fd0\u884c\u811a\u672c\uff0c\u5e76\u5728\u51fa\u73b0\u95ee\u9898\u65f6\u8fdb\u884c\u9002\u5f53\u7684\u5904\u7406\u3002<\/p>\n<\/p>\n<p><h2>\u516d\u3001\u5e38\u89c1\u95ee\u9898\u89e3\u7b54<\/h2>\n<\/p>\n<p><h3>1.\u5982\u4f55\u5904\u7406\u4e0d\u540c\u5206\u8fa8\u7387\u7684\u8bbe\u5907\uff1f<\/h3>\n<\/p>\n<p><p>\u5728\u7f16\u5199\u811a\u672c\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5904\u7406\u4e0d\u540c\u5206\u8fa8\u7387\u7684\u8bbe\u5907\u3002\u4e3a\u4e86\u786e\u4fdd\u811a\u672c\u5728\u4e0d\u540c\u5206\u8fa8\u7387\u7684\u8bbe\u5907\u4e0a\u90fd\u80fd\u6b63\u5e38\u8fd0\u884c\uff0c\u53ef\u4ee5\u4f7f\u7528\u76f8\u5bf9\u5750\u6807\u548c\u7f29\u653e\u6bd4\u4f8b\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pyautogui<\/p>\n<p>import time<\/p>\n<h2><strong>\u83b7\u53d6\u5c4f\u5e55\u5206\u8fa8\u7387<\/strong><\/h2>\n<p>screen_width, screen_height = pyautogui.size()<\/p>\n<h2><strong>\u5b9a\u4e49\u76ee\u6807\u4f4d\u7f6e\u7684\u76f8\u5bf9\u5750\u6807\uff08\u4f8b\u5982\uff0c\u5c4f\u5e55\u4e2d\u592e\uff09<\/strong><\/h2>\n<p>target_x_relative = 0.5<\/p>\n<p>target_y_relative = 0.5<\/p>\n<h2><strong>\u8ba1\u7b97\u76ee\u6807\u4f4d\u7f6e\u7684\u7edd\u5bf9\u5750\u6807<\/strong><\/h2>\n<p>target_x = int(screen_width * target_x_relative)<\/p>\n<p>target_y = int(screen_height * target_y_relative)<\/p>\n<h2><strong>\u6a21\u62df\u70b9\u51fb<\/strong><\/h2>\n<p>pyautogui.click(x=target_x, y=target_y)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4f7f\u7528\u76f8\u5bf9\u5750\u6807\uff0c\u6211\u4eec\u53ef\u4ee5\u786e\u4fdd\u811a\u672c\u5728\u4e0d\u540c\u5206\u8fa8\u7387\u7684\u8bbe\u5907\u4e0a\u90fd\u80fd\u6b63\u5e38\u8fd0\u884c\u3002<\/p>\n<\/p>\n<p><h3>2.\u5982\u4f55\u5904\u7406\u52a8\u6001\u53d8\u5316\u7684\u754c\u9762\uff1f<\/h3>\n<\/p>\n<p><p>\u5728\u4e00\u4e9b\u6e38\u620f\u4e2d\uff0c\u754c\u9762\u53ef\u80fd\u4f1a\u52a8\u6001\u53d8\u5316\uff0c\u4f8b\u5982\u6309\u94ae\u7684\u4f4d\u7f6e\u4f1a\u6539\u53d8\u3002\u4e3a\u4e86\u5904\u7406\u8fd9\u4e9b\u60c5\u51b5\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u66f4\u590d\u6742\u7684\u56fe\u50cf\u8bc6\u522b\u65b9\u6cd5\uff0c\u6216\u8005\u7ed3\u5408\u591a\u79cd\u8bc6\u522b\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u6a21\u677f\u5339\u914d\u7ed3\u5408\u7279\u5f81\u70b9\u5339\u914d\uff0c\u63d0\u9ad8\u8bc6\u522b\u7684\u51c6\u786e\u6027\u548c\u9c81\u68d2\u6027\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<p>import pyautogui<\/p>\n<p>import time<\/p>\n<p>from PIL import ImageGrab<\/p>\n<p>def find_and_click(image_path, threshold=0.8):<\/p>\n<p>    # \u622a\u5c4f\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aOpenCV\u683c\u5f0f<\/p>\n<p>    screenshot = ImageGrab.grab()<\/p>\n<p>    screenshot_np = np.array(screenshot)<\/p>\n<p>    screenshot_cv = cv2.cvtColor(screenshot_np, cv2.COLOR_RGB2BGR)<\/p>\n<p>    # \u8bfb\u53d6\u76ee\u6807\u56fe\u50cf<\/p>\n<p>    target_image = cv2.imread(image_path)<\/p>\n<p>    # \u4f7f\u7528ORB\u7279\u5f81\u70b9\u68c0\u6d4b\u548c\u63cf\u8ff0<\/p>\n<p>    orb = cv2.ORB_create()<\/p>\n<p>    kp1, des1 = orb.detectAndCompute(target_image, None)<\/p>\n<p>    kp2, des2 = orb.detectAndCompute(screenshot_cv, None)<\/p>\n<p>    # \u4f7f\u7528BFMatcher\u8fdb\u884c\u7279\u5f81\u70b9\u5339\u914d<\/p>\n<p>    bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)<\/p>\n<p>    matches = bf.match(des1, des2)<\/p>\n<p>    matches = sorted(matches, key=lambda x: x.distance)<\/p>\n<p>    # \u5982\u679c\u5339\u914d\u70b9\u6570\u91cf\u8d85\u8fc7\u67d0\u4e2a\u9608\u503c\uff0c\u5219\u8ba4\u4e3a\u627e\u5230\u4e86\u76ee\u6807\u56fe\u50cf<\/p>\n<p>    match_threshold = 10<\/p>\n<p>    if len(matches) &gt; match_threshold:<\/p>\n<p>        # \u8ba1\u7b97\u5339\u914d\u70b9\u7684\u5e73\u5747\u4f4d\u7f6e<\/p>\n<p>        target_x = int(np.mean([kp2[match.tr<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>nIdx].pt[0] for match in matches]))<\/p>\n<p>        target_y = int(np.mean([kp2[match.trainIdx].pt[1] for match in matches]))<\/p>\n<p>        pyautogui.click(x=target_x, y=target_y)<\/p>\n<p>        return True<\/p>\n<p>    return False<\/p>\n<h2><strong>\u7b49\u5f853\u79d2\u949f\uff0c\u4ee5\u4fbf\u5207\u6362\u5230\u76ee\u6807\u5e94\u7528\u7a0b\u5e8f<\/strong><\/h2>\n<p>time.sleep(3)<\/p>\n<h2><strong>\u5728\u6e38\u620f\u4e2d\u81ea\u52a8\u5b8c\u6210\u4e00\u4e2a\u4efb\u52a1<\/strong><\/h2>\n<p>while True:<\/p>\n<p>    if find_and_click(&#39;start_button.png&#39;):<\/p>\n<p>        time.sleep(2)<\/p>\n<p>    if find_and_click(&#39;collect_reward.png&#39;):<\/p>\n<p>        time.sleep(2)<\/p>\n<p>    if find_and_click(&#39;next_button.png&#39;):<\/p>\n<p>        time.sleep(2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u7ed3\u5408\u6a21\u677f\u5339\u914d\u548c\u7279\u5f81\u70b9\u5339\u914d\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u51c6\u786e\u5730\u8bc6\u522b\u548c\u70b9\u51fb\u52a8\u6001\u53d8\u5316\u7684\u754c\u9762\u3002<\/p>\n<\/p>\n<p><h2>\u4e03\u3001\u5b89\u5168\u4e0e\u6cd5\u5f8b\u95ee\u9898<\/h2>\n<\/p>\n<p><p>\u5728\u4f7f\u7528Python\u7f16\u5199\u624b\u6e38\u811a\u672c\u65f6\uff0c\u6211\u4eec\u9700\u8981\u6ce8\u610f<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728\u624b\u673a\u6e38\u620f\u4e2d\u4f7f\u7528Python\u5236\u4f5c\u811a\u672c\uff1f<\/strong><br \/>\u5728\u624b\u673a\u6e38\u620f\u4e2d\u4f7f\u7528Python\u5236\u4f5c\u811a\u672c\u901a\u5e38\u9700\u8981\u501f\u52a9\u4e00\u4e9b\u7279\u5b9a\u7684\u5de5\u5177\u548c\u5e93\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u50cfKivy\u6216BeeWare\u8fd9\u6837\u7684\u6846\u67b6\uff0c\u8fd9\u4e9b\u6846\u67b6\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5728\u79fb\u52a8\u8bbe\u5907\u4e0a\u8fd0\u884cPython\u4ee3\u7801\u3002\u6b64\u5916\uff0c\u4f7f\u7528ADB\uff08Android Debug Bridge\uff09\u53ef\u4ee5\u8ba9\u4f60\u4e0eAndroid\u8bbe\u5907\u8fdb\u884c\u4ea4\u4e92\uff0c\u4ece\u800c\u5b9e\u73b0\u81ea\u52a8\u5316\u811a\u672c\u7684\u529f\u80fd\u3002\u786e\u4fdd\u4f60\u7684\u6e38\u620f\u652f\u6301\u811a\u672c\u8fd0\u884c\uff0c\u5e76\u719f\u6089Python\u7684\u57fa\u672c\u8bed\u6cd5\u548c\u6a21\u5757\u3002<\/p>\n<p><strong>\u6709\u54ea\u4e9b\u63a8\u8350\u7684Python\u5e93\u9002\u5408\u624b\u6e38\u811a\u672c\u5f00\u53d1\uff1f<\/strong><br \/>\u5bf9\u4e8e\u624b\u6e38\u811a\u672c\u5f00\u53d1\uff0c\u6709\u51e0\u4e2aPython\u5e93\u53ef\u4ee5\u5927\u5927\u7b80\u5316\u4f60\u7684\u5de5\u4f5c\u3002\u6bd4\u5982\uff0cPygame\u662f\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684\u5e93\uff0c\u9002\u5408\u6e38\u620f\u5f00\u53d1\u3002PyAutoGUI\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5b9e\u73b0\u81ea\u52a8\u5316\u64cd\u4f5c\uff0c\u9002\u7528\u4e8e\u9700\u8981\u6a21\u62df\u7528\u6237\u8f93\u5165\u7684\u573a\u666f\u3002\u6b64\u5916\uff0cRequests\u5e93\u53ef\u4ee5\u7528\u6765\u8fdb\u884c\u7f51\u7edc\u8bf7\u6c42\uff0c\u9002\u5408\u9700\u8981\u4e0e\u670d\u52a1\u5668\u8fdb\u884c\u4ea4\u4e92\u7684\u6e38\u620f\u811a\u672c\u3002\u9009\u62e9\u9002\u5408\u4f60\u6e38\u620f\u9700\u6c42\u7684\u5e93\uff0c\u5c06\u4f1a\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u3002<\/p>\n<p><strong>\u5728\u5236\u4f5c\u624b\u6e38\u811a\u672c\u65f6\uff0c\u6709\u54ea\u4e9b\u5e38\u89c1\u7684\u6311\u6218\u548c\u89e3\u51b3\u65b9\u6848\uff1f<\/strong><br \/>\u5236\u4f5c\u624b\u6e38\u811a\u672c\u65f6\uff0c\u5f00\u53d1\u8005\u53ef\u80fd\u4f1a\u9047\u5230\u51e0\u79cd\u6311\u6218\uff0c\u4f8b\u5982\u6e38\u620f\u66f4\u65b0\u5bfc\u81f4\u811a\u672c\u5931\u6548\u3001\u53cd\u4f5c\u5f0a\u673a\u5236\u7684\u68c0\u6d4b\u3001\u4ee5\u53ca\u4e0d\u540c\u8bbe\u5907\u517c\u5bb9\u6027\u95ee\u9898\u3002\u4e3a\u4e86\u5e94\u5bf9\u8fd9\u4e9b\u6311\u6218\uff0c\u4fdd\u6301\u811a\u672c\u7684\u7075\u6d3b\u6027\u975e\u5e38\u91cd\u8981\uff0c\u5b9a\u671f\u66f4\u65b0\u4ee3\u7801\u4ee5\u9002\u5e94\u6e38\u620f\u53d8\u5316\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u6a21\u62df\u5668\u8fdb\u884c\u6d4b\u8bd5\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5728\u5f00\u53d1\u8fc7\u7a0b\u4e2d\u8bc6\u522b\u517c\u5bb9\u6027\u95ee\u9898\uff0c\u786e\u4fdd\u811a\u672c\u5728\u4e0d\u540c\u8bbe\u5907\u4e0a\u90fd\u80fd\u987a\u5229\u8fd0\u884c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728\u624b\u6e38\u4e0a\u4f7f\u7528Python\u5236\u4f5c\u811a\u672c\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u53ef\u4ee5\u901a\u8fc7\u6a21\u62df\u70b9\u51fb\u3001\u64cd\u4f5c\u5c4f\u5e55\u3001\u81ea\u52a8\u5316\u4efb\u52a1\u3001\u56fe\u50cf\u8bc6\u522b\u7b49\u65b9\u5f0f\u6765\u5b9e\u73b0\u3002\u5176 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