{"id":971650,"date":"2024-12-27T05:36:57","date_gmt":"2024-12-26T21:36:57","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/971650.html"},"modified":"2024-12-27T05:37:00","modified_gmt":"2024-12-26T21:37:00","slug":"%e5%a6%82%e4%bd%95%e8%87%aa%e5%8a%a8%e6%89%93%e5%9c%b0%e9%bc%a0python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/971650.html","title":{"rendered":"\u5982\u4f55\u81ea\u52a8\u6253\u5730\u9f20python"},"content":{"rendered":"

\"\u5982\u4f55\u81ea\u52a8\u6253\u5730\u9f20python\"<\/p>\n

\u81ea\u52a8\u6253\u5730\u9f20Python\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u56fe\u50cf\u8bc6\u522b\u3001\u6a21\u62df\u9f20\u6807\u70b9\u51fb\u3001\u5faa\u73af\u68c0\u6d4b\u4e09\u4e2a\u6b65\u9aa4\u5b9e\u73b0<\/strong>\uff0c\u8fd9\u4e9b\u6b65\u9aa4\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u521b\u5efa\u4e00\u4e2a\u81ea\u52a8\u5316\u7684\u7a0b\u5e8f\u6765\u5b8c\u6210\u6253\u5730\u9f20\u7684\u4efb\u52a1\u3002\u56fe\u50cf\u8bc6\u522b<\/strong>\u662f\u6838\u5fc3\u6b65\u9aa4\u4e4b\u4e00\uff0c\u5b83\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u8bc6\u522b\u5730\u9f20\u51fa\u73b0\u7684\u4f4d\u7f6e\u5e76\u4f5c\u51fa\u76f8\u5e94\u7684\u64cd\u4f5c\u3002\u5728Python\u4e2d\uff0c\u901a\u5e38\u4f7f\u7528OpenCV\u548cPyAutoGUI\u5e93\u6765\u5b8c\u6210\u8fd9\u4e9b\u4efb\u52a1\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5b9e\u73b0\u8fd9\u4e9b\u6b65\u9aa4\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u56fe\u50cf\u8bc6\u522b<\/p>\n<\/p>\n

\u56fe\u50cf\u8bc6\u522b\u662f\u81ea\u52a8\u6253\u5730\u9f20\u7684\u5173\u952e\u6b65\u9aa4\u3002\u6211\u4eec\u9700\u8981\u901a\u8fc7\u56fe\u50cf\u8bc6\u522b\u6280\u672f\u6765\u5b9e\u65f6\u68c0\u6d4b\u5730\u9f20\u7684\u51fa\u73b0\u4f4d\u7f6e\u3002Python\u4e2d\u6709\u591a\u79cd\u5e93\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u8bc6\u522b\uff0c\u5176\u4e2dOpenCV\u662f\u6700\u5e38\u7528\u7684\u3002<\/p>\n<\/p>\n

    \n
  1. OpenCV\u7684\u4f7f\u7528<\/strong><\/li>\n<\/ol>\n

    OpenCV\uff08Open Source Computer Vision Library\uff09\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u5b66\u4e60<\/a>\u8f6f\u4ef6\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u7528\u4e8e\u5904\u7406\u56fe\u50cf\u548c\u89c6\u9891\u6570\u636e\u3002\u8981\u4f7f\u7528OpenCV\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u5b89\u88c5\u5b83\uff1a<\/p>\n<\/p>\n

    pip install opencv-python<\/p>\n
    pip install opencv-python-headless<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528OpenCV\u8bfb\u53d6\u548c\u5904\u7406\u56fe\u50cf\u3002\u5728\u6253\u5730\u9f20\u6e38\u620f\u4e2d\uff0c\u6211\u4eec\u9700\u8981\u622a\u53d6\u6e38\u620f\u7a97\u53e3\u7684\u56fe\u50cf\uff0c\u5e76\u5728\u56fe\u50cf\u4e2d\u5bfb\u627e\u5730\u9f20\u7684\u7279\u5f81\u3002\u901a\u5e38\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u6a21\u677f\u5339\u914d\u7684\u65b9\u6cd5\u6765\u8bc6\u522b\u5730\u9f20\u7684\u51fa\u73b0\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
      \n
    1. \u6a21\u677f\u5339\u914d<\/strong><\/li>\n<\/ol>\n
      \u6a21\u677f\u5339\u914d\u662f\u4e00\u79cd\u7b80\u5355\u800c\u6709\u6548\u7684\u56fe\u50cf\u8bc6\u522b\u65b9\u6cd5\u3002\u5b83\u901a\u8fc7\u5c06\u4e00\u4e2a\u5c0f\u56fe\u50cf\uff08\u6a21\u677f\uff09\u5728\u5927\u56fe\u50cf\u4e2d\u6ed1\u52a8\uff0c\u4ee5\u627e\u5230\u4e0e\u6a21\u677f\u5339\u914d\u7684\u533a\u57df\u3002\u5728\u6253\u5730\u9f20\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5730\u9f20\u7684\u56fe\u50cf\u4f5c\u4e3a\u6a21\u677f\uff0c\u901a\u8fc7\u6a21\u677f\u5339\u914d\u6765\u68c0\u6d4b\u5730\u9f20\u7684\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
      import cv2<\/p>\n
      \u8bfb\u53d6\u6e38\u620f\u622a\u56fe\u548c\u5730\u9f20\u6a21\u677f<\/strong><\/h2>\n
      game_screenshot = cv2.imread('game_screenshot.png')<\/p>\n
      mole_template = cv2.imread('mole_template.png')<\/p>\n
      \u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n
      game_gray = cv2.cvtColor(game_screenshot, cv2.COLOR_BGR2GRAY)<\/p>\n
      template_gray = cv2.cvtColor(mole_template, cv2.COLOR_BGR2GRAY)<\/p>\n
      \u6267\u884c\u6a21\u677f\u5339\u914d<\/strong><\/h2>\n
      result = cv2.matchTemplate(game_gray, template_gray, cv2.TM_CCOEFF_NORMED)<\/p>\n
      \u8bbe\u7f6e\u5339\u914d\u9608\u503c<\/strong><\/h2>\n
      threshold = 0.8<\/p>\n
      loc = np.where(result >= threshold)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u6a21\u677f\u5339\u914d\u7684\u7ed3\u679c\u662f\u4e00\u4e2a\u4e0e\u8f93\u5165\u56fe\u50cf\u5927\u5c0f\u76f8\u540c\u7684\u4e8c\u7ef4\u6570\u7ec4\uff0c\u5176\u4e2d\u7684\u503c\u8868\u793a\u6a21\u677f\u4e0e\u8f93\u5165\u56fe\u50cf\u7684\u6bcf\u4e2a\u4f4d\u7f6e\u7684\u5339\u914d\u7a0b\u5ea6\u3002\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u5339\u914d\u7a0b\u5ea6\u7684\u9608\u503c\u6765\u5224\u65ad\u54ea\u4e9b\u4f4d\u7f6e\u5b58\u5728\u5730\u9f20\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u6a21\u62df\u9f20\u6807\u70b9\u51fb<\/p>\n<\/p>\n
      \u5728\u8bc6\u522b\u5230\u5730\u9f20\u7684\u4f4d\u7f6e\u540e\uff0c\u6211\u4eec\u9700\u8981\u6a21\u62df\u9f20\u6807\u70b9\u51fb\u6765\u8fdb\u884c\u6253\u51fb\u3002Python\u4e2d\u6709\u5f88\u591a\u5e93\u53ef\u4ee5\u7528\u4e8e\u6a21\u62df\u9f20\u6807\u64cd\u4f5c\uff0c\u5176\u4e2dPyAutoGUI\u662f\u4e00\u4e2a\u7b80\u5355\u6613\u7528\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n
        \n
      1. PyAutoGUI\u7684\u4f7f\u7528<\/strong><\/li>\n<\/ol>\n
        PyAutoGUI\u662f\u4e00\u4e2a\u8de8\u5e73\u53f0\u7684GUI\u81ea\u52a8\u5316\u5e93\uff0c\u5141\u8bb8\u6211\u4eec\u6a21\u62df\u9f20\u6807\u548c\u952e\u76d8\u64cd\u4f5c\u3002\u9996\u5148\u5b89\u88c5PyAutoGUI\uff1a<\/p>\n<\/p>\n
        pip install pyautogui<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528PyAutoGUI\u6765\u6a21\u62df\u9f20\u6807\u70b9\u51fb\u3002\u5728\u6253\u5730\u9f20\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u6a21\u677f\u5339\u914d\u7684\u7ed3\u679c\u6765\u786e\u5b9a\u5730\u9f20\u7684\u4f4d\u7f6e\uff0c\u7136\u540e\u4f7f\u7528PyAutoGUI\u6a21\u62df\u9f20\u6807\u70b9\u51fb\u3002<\/p>\n<\/p>\n
        import pyautogui<\/p>\n
        \u83b7\u53d6\u5730\u9f20\u7684\u4e2d\u5fc3\u4f4d\u7f6e<\/strong><\/h2>\n
        for pt in zip(*loc[::-1]):<\/p>\n
            center_x = pt[0] + mole_template.shape[1] \/\/ 2<\/p>\n
            center_y = pt[1] + mole_template.shape[0] \/\/ 2<\/p>\n
            # \u6a21\u62df\u9f20\u6807\u70b9\u51fb<\/p>\n
            pyautogui.click(center_x, center_y)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u8bc6\u522b\u5230\u5730\u9f20\u540e\u7acb\u5373\u8fdb\u884c\u70b9\u51fb\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
        \u4e09\u3001\u5faa\u73af\u68c0\u6d4b<\/p>\n<\/p>\n
        \u4e3a\u4e86\u5b9e\u73b0\u81ea\u52a8\u5316\uff0c\u6211\u4eec\u9700\u8981\u4e0d\u65ad\u5730\u68c0\u6d4b\u6e38\u620f\u7a97\u53e3\u4e2d\u7684\u5730\u9f20\uff0c\u5e76\u8fdb\u884c\u70b9\u51fb\u3002\u8fd9\u610f\u5473\u7740\u6211\u4eec\u9700\u8981\u5c06\u524d\u9762\u7684\u6b65\u9aa4\u653e\u5728\u4e00\u4e2a\u5faa\u73af\u4e2d\uff0c\u5e76\u5728\u5faa\u73af\u4e2d\u4e0d\u65ad\u66f4\u65b0\u6e38\u620f\u7a97\u53e3\u7684\u622a\u56fe\u3002<\/p>\n<\/p>\n
          \n
        1. \u5faa\u73af\u5904\u7406<\/strong><\/li>\n<\/ol>\n
          \u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e2a\u7b80\u5355\u7684while\u5faa\u73af\u6765\u5b9e\u73b0\u8fd9\u4e2a\u529f\u80fd\u3002\u5728\u6bcf\u6b21\u5faa\u73af\u4e2d\uff0c\u6211\u4eec\u622a\u53d6\u6e38\u620f\u7a97\u53e3\u7684\u56fe\u50cf\uff0c\u5e76\u4f7f\u7528\u6a21\u677f\u5339\u914d\u548c\u9f20\u6807\u70b9\u51fb\u6765\u68c0\u6d4b\u548c\u6253\u51fb\u5730\u9f20\u3002<\/p>\n<\/p>\n
          import time<\/p>\n
          while True:<\/p>\n
              # \u622a\u53d6\u6e38\u620f\u7a97\u53e3\u7684\u56fe\u50cf<\/p>\n
              game_screenshot = pyautogui.screenshot(region=(left, top, width, height))<\/p>\n
              game_screenshot = cv2.cvtColor(np.array(game_screenshot), cv2.COLOR_RGB2BGR)<\/p>\n
              # \u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/p>\n
              game_gray = cv2.cvtColor(game_screenshot, cv2.COLOR_BGR2GRAY)<\/p>\n
              # \u6267\u884c\u6a21\u677f\u5339\u914d<\/p>\n
              result = cv2.matchTemplate(game_gray, template_gray, cv2.TM_CCOEFF_NORMED)<\/p>\n
              # \u83b7\u53d6\u5339\u914d\u7ed3\u679c<\/p>\n
              loc = np.where(result >= threshold)<\/p>\n
              # \u6a21\u62df\u9f20\u6807\u70b9\u51fb<\/p>\n
              for pt in zip(*loc[::-1]):<\/p>\n
                  center_x = pt[0] + mole_template.shape[1] \/\/ 2<\/p>\n
                  center_y = pt[1] + mole_template.shape[0] \/\/ 2<\/p>\n
                  pyautogui.click(center_x, center_y)<\/p>\n
              # \u7b49\u5f85\u4e00\u6bb5\u65f6\u95f4<\/p>\n
              time.sleep(0.1)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9e\u73b0\u4e00\u4e2a\u7b80\u5355\u7684\u81ea\u52a8\u6253\u5730\u9f20\u7a0b\u5e8f\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5bf9\u7a0b\u5e8f\u8fdb\u884c\u66f4\u591a\u7684\u4f18\u5316\uff0c\u4f8b\u5982\u8c03\u6574\u5339\u914d\u9608\u503c\u3001\u5904\u7406\u4e0d\u540c\u7684\u6e38\u620f\u7a97\u53e3\u5927\u5c0f\u7b49\u3002<\/p>\n<\/p>\n
          \u56db\u3001\u4f18\u5316\u548c\u6ce8\u610f\u4e8b\u9879<\/p>\n<\/p>\n
          \u5728\u5b9e\u73b0\u81ea\u52a8\u6253\u5730\u9f20\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u95ee\u9898\u548c\u6311\u6218\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4f18\u5316\u5efa\u8bae\u548c\u6ce8\u610f\u4e8b\u9879\uff1a<\/p>\n<\/p>\n
            \n
          1. \u5339\u914d\u9608\u503c<\/strong><\/li>\n<\/ol>\n
            \u5339\u914d\u9608\u503c\u662f\u6a21\u677f\u5339\u914d\u4e2d\u4e00\u4e2a\u91cd\u8981\u7684\u53c2\u6570\u3002\u8fc7\u9ad8\u7684\u9608\u503c\u53ef\u80fd\u5bfc\u81f4\u6f0f\u68c0\uff0c\u800c\u8fc7\u4f4e\u7684\u9608\u503c\u53ef\u80fd\u5bfc\u81f4\u8bef\u68c0\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u9608\u503c\u6765\u63d0\u9ad8\u8bc6\u522b\u7684\u51c6\u786e\u6027\u3002\u6b64\u5916\uff0c\u6a21\u677f\u7684\u9009\u62e9\u4e5f\u4f1a\u5f71\u54cd\u5339\u914d\u7684\u6548\u679c\uff0c\u6211\u4eec\u53ef\u4ee5\u5c1d\u8bd5\u4f7f\u7528\u4e0d\u540c\u7684\u6a21\u677f\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u5339\u914d\u7ed3\u679c\u3002<\/p>\n<\/p>\n
              \n
            1. \u591a\u7ebf\u7a0b\u5904\u7406<\/strong><\/li>\n<\/ol>\n
              \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u4f7f\u7528\u591a\u7ebf\u7a0b\u53ef\u4ee5\u63d0\u9ad8\u7a0b\u5e8f\u7684\u6027\u80fd\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u4e00\u4e2a\u7ebf\u7a0b\u4e2d\u8fdb\u884c\u56fe\u50cf\u8bc6\u522b\uff0c\u5728\u53e6\u4e00\u4e2a\u7ebf\u7a0b\u4e2d\u5904\u7406\u9f20\u6807\u70b9\u51fb\u3002\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u51cf\u5c11\u6bcf\u6b21\u5faa\u73af\u4e2d\u7b49\u5f85\u65f6\u95f4\uff0c\u63d0\u9ad8\u7a0b\u5e8f\u7684\u54cd\u5e94\u901f\u5ea6\u3002<\/p>\n<\/p>\n
                \n
              1. \u9632\u68c0\u6d4b\u673a\u5236<\/strong><\/li>\n<\/ol>\n
                \u5728\u67d0\u4e9b\u6e38\u620f\u4e2d\uff0c\u53ef\u80fd\u4f1a\u6709\u68c0\u6d4b\u81ea\u52a8\u5316\u7a0b\u5e8f\u7684\u673a\u5236\uff0c\u4f8b\u5982\u68c0\u6d4b\u9f20\u6807\u70b9\u51fb\u7684\u9891\u7387\u6216\u4f4d\u7f6e\u3002\u5982\u679c\u6211\u4eec\u5e0c\u671b\u907f\u514d\u88ab\u68c0\u6d4b\u5230\uff0c\u53ef\u4ee5\u8003\u8651\u52a0\u5165\u4e00\u4e9b\u968f\u673a\u56e0\u7d20\uff0c\u4f8b\u5982\u968f\u673a\u5316\u70b9\u51fb\u95f4\u9694\u6216\u70b9\u51fb\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
                  \n
                1. \u8c03\u8bd5\u548c\u65e5\u5fd7\u8bb0\u5f55<\/strong><\/li>\n<\/ol>\n
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