{"id":193,"date":"2025-10-17T01:02:43","date_gmt":"2025-10-16T17:02:43","guid":{"rendered":"https:\/\/caoxunyi.cn\/?p=193"},"modified":"2025-10-17T01:02:43","modified_gmt":"2025-10-16T17:02:43","slug":"%e6%89%8b%e6%8a%8a%e6%89%8b%e6%95%99%e4%bd%a0%e7%94%a8python%e5%92%8cai%e6%9e%84%e5%bb%ba%e4%b8%80%e4%b8%aa%e5%ae%9e%e6%97%b6%e9%aa%a8%e9%aa%bc%e5%8a%a8%e7%94%bb%e8%bf%bd%e8%b8%aa%e5%99%a8","status":"publish","type":"post","link":"https:\/\/caoxunyi.cn\/index.php\/193\/","title":{"rendered":"\u624b\u628a\u624b\u6559\u4f60\u7528Python\u548cAI\u6784\u5efa\u4e00\u4e2a\u5b9e\u65f6\u9aa8\u9abc\u52a8\u753b\u8ffd\u8e2a\u5668"},"content":{"rendered":"<p>\u66fe\u7ecf\u60f3\u8fc7\u8ba9\u7535\u8111\u50cf\u955c\u5b50\u4e00\u6837\u5b9e\u65f6\u6a21\u4eff\u4f60\u7684\u52a8\u4f5c\u5417\uff1f\u6216\u8005\u521b\u5efa\u4e00\u4e2aAI\u5065\u8eab\u6559\u7ec3\u6765\u7ea0\u6b63\u4f60\u7684\u59ff\u52bf\uff1f\u4eca\u5929\uff0c\u6211\u4eec\u5c06\u4e00\u8d77\u52a8\u624b\u5b9e\u73b0\u8fd9\u4e2a\u9177\u70ab\u7684\u60f3\u6cd5\uff01\u672c\u6587\u5c06\u5e26\u4f60\u4ece\u96f6\u5f00\u59cb\uff0c\u4f7f\u7528 Python \u548c Google \u7684 MediaPipe \u6846\u67b6\uff0c\u6784\u5efa\u4e00\u4e2a\u80fd\u591f\u5b9e\u65f6\u8bc6\u522b\u4eba\u4f53\u52a8\u4f5c\u5e76\u7ed8\u5236\u51fa\u9aa8\u9abc\u52a8\u753b\u7684\u7a0b\u5e8f\u3002<\/p>\n<p>\u6700\u68d2\u7684\u662f\uff1f\u6574\u4e2a\u8fc7\u7a0b\u975e\u5e38\u7b80\u5355\uff0c\u4ee3\u7801\u4e0d\u5230100\u884c\uff0c\u5bf9\u521d\u5b66\u8005\u4e5f\u6781\u5176\u53cb\u597d\uff01<\/p>\n<figure id=\"attachment_mmd_194\" class=\"wp-block-image alignnone\"><img width=\"400\" height=\"444\" src=\"https:\/\/caoxunyi.cn\/wp-content\/uploads\/2025\/10\/1760634132-\u5fae\u4fe1\u56fe\u7247_20251017010201_238.jpg\" class=\"attachment-400x600 size-400x600\" alt=\"1760634132-\u5fae\u4fe1\u56fe\u7247_20251017010201_238\" decoding=\"async\" loading=\"lazy\" align=\"none\" srcset=\"https:\/\/caoxunyi.cn\/wp-content\/uploads\/2025\/10\/1760634132-\u5fae\u4fe1\u56fe\u7247_20251017010201_238.jpg 844w, https:\/\/caoxunyi.cn\/wp-content\/uploads\/2025\/10\/1760634132-\u5fae\u4fe1\u56fe\u7247_20251017010201_238-271x300.jpg 271w, https:\/\/caoxunyi.cn\/wp-content\/uploads\/2025\/10\/1760634132-\u5fae\u4fe1\u56fe\u7247_20251017010201_238-768x852.jpg 768w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/figure>\n<blockquote>\n<p>\u6f14\u793a\u56fe\u7247\u6765\u81ea<a href=\"https:\/\/www.bilibili.com\/video\/BV13x4y1G7xe?buvid=XU1204A183FF9E3162FF9331389097176F711&from_spmid=main.my-history.0.0&is_story_h5=false&mid=BMlrQLPXyp0dXnwSBBFjcA%3D%3D&plat_id=116&share_from=ugc&share_medium=android&share_plat=android&share_session_id=6f8669a8-7881-4ec2-b018-404b3c9833ee&share_source=WEIXIN&share_tag=s_i&spmid=united.player-video-detail.0.0&timestamp=1760633959&unique_k=y2o5Ol2&up_id=1813797500&vd_source=669d3673e44303b48f278f22b39659db\" target=\"_blank\"  rel=\"nofollow\" >\u3010\u7535\u5de5\u7248\u3011\u30e9\u30f4\u30a3\u30c3\u30c8 \u25ef Loveit\u516e\u767d\u7248\u7f16\u821e\u7ffb\u8df3\uff0c\u64e6\u8fb9\u4e0d\u5b58\u5728\u7684\uff01\uff01<\/a><\/p>\n<\/blockquote>\n<hr \/>\n<h2>\ud83e\uddd0 \u8fd9\u662f\u4ec0\u4e48\u6280\u672f\uff1f<\/h2>\n<p>\u6211\u4eec\u5373\u5c06\u5b9e\u73b0\u7684\u529f\u80fd\uff0c\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u88ab\u79f0\u4e3a\u201c<strong>\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1 (Human Pose Estimation)<\/strong>\u201d\u3002<\/p>\n<p>\u5b83\u7684\u6838\u5fc3\u4efb\u52a1\u662f\uff1a\u4ece\u4e00\u5f20\u56fe\u7247\u6216\u4e00\u5e27\u89c6\u9891\u4e2d\uff0c\u8bc6\u522b\u51fa\u4eba\u4f53\u7684\u5173\u952e\u8282\u70b9\uff08\u5982\u80a9\u8180\u3001\u624b\u8098\u3001\u819d\u76d6\u3001\u624b\u8155\u7b49\uff09\uff0c\u5e76\u628a\u5b83\u4eec\u8fde\u63a5\u8d77\u6765\uff0c\u5f62\u6210\u4e00\u4e2a\u201c\u9aa8\u9abc\u201d\u6846\u67b6\u3002<\/p>\n<p><strong>MediaPipe \u662f\u7531 Google Research \u5f00\u53d1\u5e76\u5f00\u6e90\u7684\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u3001\u8de8\u5e73\u53f0\u7684\u673a\u5668\u5b66\u4e60\u89e3\u51b3\u65b9\u6848\u6846\u67b6\u3002<\/strong><\/p>\n<p>\u5b83\u7684\u8bbe\u8ba1\u76ee\u6807\u662f\u8ba9\u5f00\u53d1\u8005\u80fd\u591f\u8f7b\u677e\u5730\u6784\u5efa\u548c\u90e8\u7f72\u5305\u542b\u591a\u79cd\u6a21\u5f0f\uff08\u5982\u89c6\u9891\u3001\u97f3\u9891\u3001\u65f6\u5e8f\u6570\u636e\uff09\u7684\u590d\u6742\u673a\u5668\u5b66\u4e60\u5e94\u7528\u7ba1\u9053\uff08Pipelines\uff09\u3002<\/p>\n<p>\u4f60\u53ef\u4ee5\u628a\u5b83\u60f3\u8c61\u6210\u4e00\u4e2a\u201c<strong>AI\u79ef\u6728\u76d2<\/strong>\u201d\u3002Google \u5df2\u7ecf\u5e2e\u4f60\u628a\u8bb8\u591a\u590d\u6742\u7684AI\u529f\u80fd\uff08\u6bd4\u5982\u4eba\u8138\u68c0\u6d4b\u3001\u624b\u52bf\u8bc6\u522b\u3001\u6211\u4eec\u8fd9\u6b21\u7528\u7684\u59ff\u6001\u4f30\u8ba1\uff09\u5c01\u88c5\u6210\u4e86\u4e00\u4e2a\u4e2a\u5373\u63d2\u5373\u7528\u7684\u201c\u79ef\u6728\u5757\u201d\uff08\u5b98\u65b9\u79f0\u4e3a <strong>Solutions<\/strong>\uff09\u3002\u6211\u4eec\u5f00\u53d1\u8005\u6240\u8981\u505a\u7684\uff0c\u5c31\u662f\u50cf\u642d\u79ef\u6728\u4e00\u6837\uff0c\u7b80\u5355\u5730\u8c03\u7528\u8fd9\u4e9b\u529f\u80fd\uff0c\u5feb\u901f\u642d\u5efa\u51fa\u81ea\u5df1\u7684\u5e94\u7528\uff0c\u800c\u65e0\u9700\u4ece\u5934\u8bad\u7ec3\u590d\u6742\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n<p><strong>\u4e3a\u4ec0\u4e48\u9009\u62e9 MediaPipe\uff1f<\/strong><\/p>\n<p>\u9664\u4e86\u6211\u4eec\u5728\u524d\u9762\u63d0\u5230\u7684\u51e0\u70b9\uff0cMediaPipe \u7684\u6838\u5fc3\u4f18\u52bf\u53ef\u4ee5\u5f52\u7eb3\u4e3a\u4ee5\u4e0b\u51e0\u70b9\uff1a<\/p>\n<ul>\n<li><strong>\ud83d\ude80 \u73b0\u6210\u7684\u89e3\u51b3\u65b9\u6848 (Ready-to-use Solutions)<\/strong> MediaPipe \u4e0d\u4ec5\u4ec5\u80fd\u505a\u59ff\u6001\u4f30\u8ba1\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u6574\u5957\u4e30\u5bcc\u7684\u9884\u6784\u5efa\u89e3\u51b3\u65b9\u6848\uff0c\u6db5\u76d6\u4e86<strong>\u4eba\u8138\u68c0\u6d4b\u3001\u9762\u90e8\u7f51\u683c\uff08Face Mesh\uff09\u3001\u624b\u52bf\u8ffd\u8e2a\u3001\u7269\u4f53\u68c0\u6d4b\u3001\u56fe\u50cf\u5206\u5272\u3001\u5934\u53d1\u5206\u5272<\/strong>\u7b49\u4f17\u591a\u9886\u57df\u3002\u8fd9\u4e9b\u65b9\u6848\u90fd\u7ecf\u8fc7\u4e86\u9ad8\u5ea6\u4f18\u5316\uff0c\u5f00\u7bb1\u5373\u7528\uff0c\u8ba9\u4f60\u7684\u521b\u610f\u53ef\u4ee5\u5feb\u901f\u843d\u5730\u3002<\/li>\n<li><strong>\u26a1\ufe0f \u6781\u81f4\u7684\u6027\u80fd (Extreme Performance)<\/strong> \u6027\u80fd\u662f MediaPipe \u7684\u6838\u5fc3\u4f18\u52bf\u4e4b\u4e00\u3002\u5b83\u7684\u5904\u7406\u7ba1\u9053\u4e13\u4e3a\u4f4e\u5ef6\u8fdf\u548c\u9ad8\u541e\u5410\u91cf\u8bbe\u8ba1\uff0c\u5373\u4f7f\u5728\u8d44\u6e90\u6709\u9650\u7684\u8bbe\u5907\uff08\u5982\u4e2d\u7aef\u667a\u80fd\u624b\u673a\uff09\u6216\u666e\u901a\u4e2a\u4eba\u7535\u8111\u7684CPU\u4e0a\u4e5f\u80fd\u5b9e\u73b0\u4ee4\u4eba\u60ca\u53f9\u7684\u5b9e\u65f6\u5904\u7406\u6548\u679c\u3002\u8fd9\u4e5f\u662f\u4e3a\u4ec0\u4e48\u6211\u4eec\u7684\u9aa8\u9abc\u8ffd\u8e2a\u7a0b\u5e8f\u5982\u6b64\u6d41\u7545\u7684\u539f\u56e0\u3002<\/li>\n<li><strong>\ud83c\udf0d \u4e00\u6b21\u7f16\u5199\uff0c\u968f\u5904\u90e8\u7f72 (Write Once, Deploy Anywhere)<\/strong> MediaPipe \u7684\u67b6\u6784\u8bbe\u8ba1\u4f7f\u5176\u5177\u6709\u6781\u9ad8\u7684\u53ef\u79fb\u690d\u6027\u3002\u4f60\u7528 Python \u5f00\u53d1\u7684\u5e94\u7528\u539f\u578b\uff0c\u5176\u6838\u5fc3\u903b\u8f91\u53ef\u4ee5\u975e\u5e38\u8f7b\u677e\u5730\u8fc1\u79fb\u5230 <strong>Android (Java\/C++)<\/strong>, <strong>iOS (Objective-C\/C++)<\/strong>, <strong>C++ \u684c\u9762\u5e94\u7528<\/strong>\uff0c\u751a\u81f3\u662f <strong>Web (JavaScript\/Wasm)<\/strong>\u3002\u8fd9\u4e3a\u5e94\u7528\u7684\u8de8\u5e73\u53f0\u90e8\u7f72\u8282\u7701\u4e86\u5927\u91cf\u7684\u65f6\u95f4\u548c\u7cbe\u529b\u3002<\/li>\n<li><strong>\ud83d\udee0\ufe0f \u53ef\u5b9a\u5236\u4e0e\u53ef\u6269\u5c55 (Customizable and Extensible)<\/strong> \u867d\u7136 MediaPipe \u63d0\u4f9b\u4e86\u73b0\u6210\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u5b83\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a\u975e\u5e38\u7075\u6d3b\u7684\u6846\u67b6\u3002\u5bf9\u4e8e\u9ad8\u7ea7\u7528\u6237\uff0c\u4f60\u53ef\u4ee5\u6df1\u5165\u5176\u5185\u90e8\uff0c\u81ea\u5b9a\u4e49\u5904\u7406\u6d41\u7a0b\u56fe\uff08Graph\uff09\uff0c\u66ff\u6362\u6216\u7ec4\u5408\u4e0d\u540c\u7684\u8ba1\u7b97\u6a21\u5757\uff08Calculator\uff09\uff0c\u6216\u8005\u5c06\u81ea\u5df1\u7684 TensorFlow Lite \u6a21\u578b\u96c6\u6210\u8fdb\u53bb\uff0c\u6784\u5efa\u72ec\u4e00\u65e0\u4e8c\u7684AI\u5e94\u7528\u3002<\/li>\n<\/ul>\n<p>\u60f3\u8981\u6df1\u5165\u63a2\u7d22 MediaPipe \u7684\u6240\u6709\u529f\u80fd,\u8bf7\u8bbf\u95ee\u5b83\u7684\u5b98\u65b9\u7f51\u7ad9\uff1a<\/p>\n<ul>\n<li><strong><a href=\"https:\/\/ai.google.dev\/edge\/mediapipe\/solutions\/guide?hl=zh-cn\" target=\"_blank\"  rel=\"nofollow\" >MediaPipe \u5b98\u65b9\u7f51\u7ad9<\/a><\/strong><\/li>\n<li><strong><a href=\"https:\/\/github.com\/google\/mediapipe\" target=\"_blank\"  rel=\"nofollow\" >GitHub \u5b98\u65b9\u4ed3\u5e93<\/a><\/strong><\/li>\n<\/ul>\n<hr \/>\n<h2>\ud83d\ude80 \u7b2c\u4e00\u6b65\uff1a\u51c6\u5907\u4f60\u7684\u5f00\u53d1\u73af\u5883<\/h2>\n<p>\u5728\u6572\u4ee3\u7801\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u4e24\u4e2a\u6838\u5fc3\u7684 Python \u5e93\uff1a<code>opencv-python<\/code> \u548c <code>mediapipe<\/code>\u3002<\/p>\n<ul>\n<li><strong>OpenCV<\/strong>: \u4e00\u4e2a\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u6211\u4eec\u7528\u5b83\u6765\u6355\u83b7\u6444\u50cf\u5934\u753b\u9762\u3001\u5904\u7406\u56fe\u50cf\u548c\u663e\u793a\u7ed3\u679c\u3002<\/li>\n<li><strong>MediaPipe<\/strong>: \u6211\u4eec\u9879\u76ee\u7684\u201c\u5927\u8111\u201d\uff0c\u8d1f\u8d23\u6240\u6709\u59ff\u6001\u4f30\u8ba1\u7684AI\u8ba1\u7b97\u3002<\/li>\n<\/ul>\n<p>\u6253\u5f00\u4f60\u7684\u7ec8\u7aef\uff08Terminal\u3001CMD \u6216 PowerShell\uff09\uff0c\u7136\u540e\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<pre><code class=\"lang-bash language-bash bash\">pip install opencv-python mediapipe<\/code><\/pre>\n<p>\u786e\u4fdd\u4f60\u7684\u7535\u8111\u8fde\u63a5\u4e86\u4e00\u4e2a\u6444\u50cf\u5934\uff0c\u7136\u540e\u6211\u4eec\u5c31\u53ef\u4ee5\u5f00\u59cb\u7f16\u5199\u4ee3\u7801\u4e86\uff01<\/p>\n<hr \/>\n<h2>\ud83d\udc68\u200d\ud83d\udcbb \u7b2c\u4e8c\u6b65\uff1a\u7f16\u5199\u6838\u5fc3\u4ee3\u7801\uff08\u9010\u884c\u8be6\u89e3\uff09<\/h2>\n<p>\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a <code>dance_tracker.py<\/code> \u7684 Python \u6587\u4ef6\uff0c\u7136\u540e\u8ddf\u7740\u4e0b\u9762\u7684\u6b65\u9aa4\uff0c\u628a\u4ee3\u7801\u4e00\u5757\u4e00\u5757\u5730\u653e\u8fdb\u53bb\u3002<\/p>\n<h4>1. \u5bfc\u5165\u5de5\u5177\u5e76\u521d\u59cb\u5316<\/h4>\n<p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165 <code>cv2<\/code> (OpenCV) \u548c <code>mediapipe<\/code>\uff0c\u5e76\u521d\u59cb\u5316\u59ff\u6001\u4f30\u8ba1\u6a21\u578b\u548c\u7ed8\u56fe\u5de5\u5177\u3002<\/p>\n<pre><code class=\"lang-python language-python python\">import cv2\nimport mediapipe as mp\n\n# \u521d\u59cb\u5316 MediaPipe Pose \u6a21\u578b\nmp_pose = mp.solutions.pose\npose = mp_pose.Pose(\n    min_detection_confidence=0.5,  # \u68c0\u6d4b\u7f6e\u4fe1\u5ea6\u9608\u503c\n    min_tracking_confidence=0.5    # \u8ffd\u8e2a\u7f6e\u4fe1\u5ea6\u9608\u503c\n)\n\n# \u521d\u59cb\u5316 MediaPipe \u7684\u7ed8\u56fe\u5de5\u5177\nmp_drawing = mp.solutions.drawing_utils<\/code><\/pre>\n<ul>\n<li><code>mp.solutions.pose<\/code>: \u8fd9\u662f MediaPipe \u63d0\u4f9b\u7684\u59ff\u6001\u4f30\u8ba1\u89e3\u51b3\u65b9\u6848\u3002<\/li>\n<li><code>mp_pose.Pose()<\/code>: \u6211\u4eec\u5728\u8fd9\u91cc\u521b\u5efa\u4e86\u4e00\u4e2a\u59ff\u6001\u4f30\u8ba1\u5668\u7684\u5b9e\u4f8b\u3002\u4e24\u4e2a<code>confidence<\/code>\u53c2\u6570\u51b3\u5b9a\u4e86\u6a21\u578b\u7684\u654f\u611f\u5ea6\uff0c0.5 \u662f\u4e00\u4e2a\u5f88\u597d\u7684\u9ed8\u8ba4\u503c\u3002<\/li>\n<li><code>mp.solutions.drawing_utils<\/code>: \u8fd9\u662f\u4e00\u5957\u65b9\u4fbf\u7684\u5de5\u5177\uff0c\u53ef\u4ee5\u5e2e\u6211\u4eec\u8f7b\u677e\u5730\u5c06\u8bc6\u522b\u51fa\u7684\u9aa8\u9abc\u7ed8\u5236\u5230\u56fe\u50cf\u4e0a\u3002<\/li>\n<\/ul>\n<h4>2. \u6253\u5f00\u6444\u50cf\u5934\u5e76\u5f00\u59cb\u4e3b\u5faa\u73af<\/h4>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u8bbf\u95ee\u7535\u8111\u7684\u6444\u50cf\u5934\uff0c\u5e76\u521b\u5efa\u4e00\u4e2a\u5faa\u73af\u6765\u4e0d\u65ad\u5730\u8bfb\u53d6\u753b\u9762\u3002<\/p>\n<pre><code class=\"lang-python language-python python\"># \u6253\u5f00\u9ed8\u8ba4\u6444\u50cf\u5934\ncap = cv2.VideoCapture(0)\n\nif not cap.isOpened():\n    print(&quot;\u9519\u8bef\uff1a\u65e0\u6cd5\u6253\u5f00\u6444\u50cf\u5934\u3002&quot;)\n    exit()\n\n# \u5b9e\u65f6\u5904\u7406\u6444\u50cf\u5934\u7684\u6bcf\u4e00\u5e27\nwhile cap.isOpened():\n    success, image = cap.read()\n    if not success:\n        print(&quot;\u5ffd\u7565\u4e86\u4e00\u4e2a\u7a7a\u5e27\u3002&quot;)\n        continue\n\n    # ... \u540e\u7eed\u5904\u7406\u4ee3\u7801\u5c06\u653e\u5728\u8fd9\u91cc ...\n\n# \u5faa\u73af\u7ed3\u675f\u540e\uff0c\u91ca\u653e\u8d44\u6e90\ncap.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n<ul>\n<li><code>cv2.VideoCapture(0)<\/code>: <code><\/code> \u901a\u5e38\u4ee3\u8868\u4f60\u7535\u8111\u7684\u9ed8\u8ba4\u6444\u50cf\u5934\u3002\u5982\u679c\u4f60\u6709\u591a\u4e2a\u6444\u50cf\u5934\uff0c\u53ef\u4ee5\u5c1d\u8bd5 <code>1<\/code>, <code>2<\/code> \u7b49\u3002\u5982\u679c\u4f60\u60f3\u8bc6\u522b\u89c6\u9891\uff0c\u5c31\u8f93\u5165'\u89c6\u9891\u8def\u5f84'\uff0c\u4f8b\u5982<code>cap = cv2.VideoCapture('miku.mov')<\/code><\/li>\n<li><code>while cap.isOpened()<\/code>: \u8fd9\u662f\u4e00\u4e2a\u7ecf\u5178\u7684\u5faa\u73af\u7ed3\u6784\uff0c\u53ea\u8981\u6444\u50cf\u5934\u5f00\u7740\uff0c\u5c31\u4e00\u76f4\u6267\u884c\u5faa\u73af\u5185\u7684\u4ee3\u7801\u3002<\/li>\n<li><code>cap.read()<\/code>: \u8fd9\u4e2a\u51fd\u6570\u4f1a\u8fd4\u56de\u4e24\u4e2a\u503c\uff1a<code>success<\/code> (\u4e00\u4e2a\u5e03\u5c14\u503c\uff0c\u8868\u793a\u662f\u5426\u6210\u529f\u8bfb\u53d6) \u548c <code>image<\/code> (\u8bfb\u53d6\u5230\u7684\u90a3\u4e00\u5e27\u753b\u9762)\u3002<\/li>\n<\/ul>\n<h4>3. \u56fe\u50cf\u5904\u7406\u4e0e\u59ff\u6001\u4f30\u8ba1<\/h4>\n<p>\u8fd9\u662f\u6700\u6838\u5fc3\u7684\u90e8\u5206\u3002\u5728\u5faa\u73af\u5185\u90e8\uff0c\u6211\u4eec\u5c06\u5bf9\u6bcf\u4e00\u5e27\u56fe\u50cf\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<pre><code class=\"lang-python language-python python\">    # \u4e3a\u4e86\u63d0\u9ad8\u6027\u80fd\uff0c\u5c06\u56fe\u50cf\u6807\u8bb0\u4e3a\u4e0d\u53ef\u5199\n    image.flags.writeable = False\n\n    # MediaPipe \u9700\u8981 RGB \u683c\u5f0f\uff0c\u4f46 OpenCV \u662f BGR\uff0c\u6240\u4ee5\u9700\u8981\u8f6c\u6362\n    image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n\n    # \u4f7f\u7528 MediaPipe \u6a21\u578b\u5904\u7406\u56fe\u50cf\uff0c\u5f97\u5230\u59ff\u6001\u7ed3\u679c\n    results = pose.process(image_rgb)\n\n    # \u5904\u7406\u5b8c\u540e\uff0c\u518d\u628a\u56fe\u50cf\u6807\u8bb0\u4e3a\u53ef\u5199\uff0c\u4ee5\u4fbf\u7ed8\u5236\n    image.flags.writeable = True<\/code><\/pre>\n<ul>\n<li><strong>\u989c\u8272\u8f6c\u6362<\/strong>: \u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u91cd\u8981\u7684\u7ec6\u8282\uff01OpenCV \u9ed8\u8ba4\u4f7f\u7528 BGR \u8272\u5f69\u7a7a\u95f4\uff0c\u800c\u51e0\u4e4e\u6240\u6709\u5176\u4ed6\u7684\u5e93\uff08\u5305\u62ec MediaPipe\uff09\u90fd\u4f7f\u7528 RGB\u3002\u5982\u679c\u4e0d\u8f6c\u6362\uff0c\u6a21\u578b\u5c06\u65e0\u6cd5\u6b63\u786e\u8bc6\u522b\u989c\u8272\uff0c\u5bfc\u81f4\u6027\u80fd\u4e0b\u964d\u3002<\/li>\n<li><strong><code>pose.process(image_rgb)<\/code><\/strong>: \u2728 <strong>\u9b54\u6cd5\u53d1\u751f\u7684\u5730\u65b9\uff01<\/strong> \u5c31\u662f\u8fd9\u4e00\u884c\u4ee3\u7801\uff0c\u8c03\u7528\u4e86\u590d\u6742\u7684AI\u6a21\u578b\uff0c\u5bf9\u8f93\u5165\u7684RGB\u56fe\u50cf\u8fdb\u884c\u5206\u6790\uff0c\u7136\u540e\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u6240\u6709\u59ff\u6001\u4fe1\u606f\u7684 <code>results<\/code> \u5bf9\u8c61\u3002<\/li>\n<li><code>image.flags.writeable<\/code>: \u8fd9\u662f MediaPipe \u5b98\u65b9\u63a8\u8350\u7684\u4e00\u4e2a\u6027\u80fd\u4f18\u5316\u6280\u5de7\u3002\u901a\u8fc7\u4e34\u65f6\u5c06\u56fe\u50cf\u8bbe\u4e3a\u201c\u53ea\u8bfb\u201d\uff0c\u53ef\u4ee5\u907f\u514d\u4e0d\u5fc5\u8981\u7684\u6570\u636e\u62f7\u8d1d\uff0c\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002<\/li>\n<\/ul>\n<h4>4. \u7ed8\u5236\u9aa8\u9abc\u5e76\u663e\u793a\u7ed3\u679c<\/h4>\n<p>\u6a21\u578b\u5df2\u7ecf\u7ed9\u4e86\u6211\u4eec\u7ed3\u679c\uff0c\u73b0\u5728\u9700\u8981\u628a\u5b83\u53ef\u89c6\u5316\u5730\u753b\u51fa\u6765\u3002<\/p>\n<pre><code class=\"lang-python language-python python\">    # \u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u9aa8\u9abc\n    if results.pose_landmarks:\n        mp_drawing.draw_landmarks(\n            image,\n            results.pose_landmarks,\n            mp_pose.POSE_CONNECTIONS,\n            # \u81ea\u5b9a\u4e49\u5173\u8282\u70b9\u548c\u8fde\u63a5\u7ebf\u7684\u6837\u5f0f\n            landmark_drawing_spec=mp_drawing.DrawingSpec(color=(0, 255, 0), thickness=2, circle_radius=4),\n            connection_drawing_spec=mp_drawing.DrawingSpec(color=(0, 0, 255), thickness=2, circle_radius=2)\n        )\n\n    # \u5c06\u56fe\u50cf\u6c34\u5e73\u7ffb\u8f6c\uff0c\u4ea7\u751f\u955c\u50cf\u6548\u679c\n    flipped_image = cv2.flip(image, 1)\n\n    # \u521b\u5efa\u7a97\u53e3\u5e76\u663e\u793a\u56fe\u50cf\n    cv2.imshow('Real-time Dance Skeleton by MediaPipe', flipped_image)\n\n    # \u5982\u679c\u6309\u4e0b 'q' \u952e\u6216 ESC \u952e\uff0c\u5219\u9000\u51fa\u5faa\u73af\n    if cv2.waitKey(5) &amp; 0xFF in [ord('q'), 27]:\n        break<\/code><\/pre>\n<ul>\n<li><code>results.pose_landmarks<\/code>: \u5982\u679c\u6a21\u578b\u5728\u753b\u9762\u4e2d\u68c0\u6d4b\u5230\u4e86\u4eba\uff0c\u8fd9\u4e2a\u5c5e\u6027\u5c31\u4f1a\u5305\u542b\u6240\u670933\u4e2a\u8eab\u4f53\u5173\u8282\u70b9\u7684\u4f4d\u7f6e\u4fe1\u606f\u3002<\/li>\n<li><code>mp_drawing.draw_landmarks()<\/code>: \u8fd9\u4e2a\u51fd\u6570\u5e2e\u6211\u4eec\u5b8c\u6210\u4e86\u6240\u6709\u7e41\u7410\u7684\u7ed8\u56fe\u5de5\u4f5c\u3002\u6211\u4eec\u53ea\u9700\u8981\u628a\u539f\u59cb\u56fe\u50cf\u3001\u5173\u8282\u70b9\u4fe1\u606f\u548c\u9884\u8bbe\u7684\u8fde\u63a5\u65b9\u5f0f (<code>mp_pose.POSE_CONNECTIONS<\/code>) \u4f20\u7ed9\u5b83\u5c31\u884c\u4e86\u3002<\/li>\n<li><code>cv2.flip(image, 1)<\/code>: \u6c34\u5e73\u7ffb\u8f6c\u56fe\u50cf\uff0c\u8fd9\u6837\u5c4f\u5e55\u91cc\u7684\u52a8\u4f5c\u5c31\u4f1a\u50cf\u7167\u955c\u5b50\u4e00\u6837\uff0c\u4e0e\u4f60\u7684\u5de6\u53f3\u65b9\u5411\u4e00\u81f4\uff0c\u4f53\u9a8c\u66f4\u597d\u3002<\/li>\n<li><code>cv2.imshow()<\/code> \u548c <code>cv2.waitKey()<\/code>: \u8fd9\u4e24\u884c\u4ee3\u7801\u8d1f\u8d23\u663e\u793a\u7a97\u53e3\uff0c\u5e76\u68c0\u6d4b\u952e\u76d8\u8f93\u5165\uff0c\u4ee5\u4fbf\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u6309 <code>q<\/code> \u952e\u6765\u4f18\u96c5\u5730\u5173\u95ed\u7a0b\u5e8f\u3002<\/li>\n<\/ul>\n<hr \/>\n<h2>\u2705 \u7b2c\u4e09\u6b65\uff1a\u6574\u5408\u4ee3\u7801\u5e76\u8fd0\u884c\uff01<\/h2>\n<p>\u5c06\u4e0a\u9762\u6240\u6709\u7684\u4ee3\u7801\u7247\u6bb5\u6574\u5408\u5230\u4f60\u7684 <code>dance_tracker.py<\/code> \u6587\u4ef6\u4e2d\u3002\u5b8c\u6574\u7684\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"lang-python language-python python\"># dance_tracker.py\n# \u4e00\u4e2a\u4f7f\u7528 MediaPipe \u548c OpenCV \u7684\u5b9e\u65f6\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1\u7a0b\u5e8f\n\nimport cv2\nimport mediapipe as mp\n\n# \u521d\u59cb\u5316 MediaPipe Pose \u6a21\u578b\nmp_pose = mp.solutions.pose\npose = mp_pose.Pose(\n    min_detection_confidence=0.5,\n    min_tracking_confidence=0.5\n)\n\n# \u521d\u59cb\u5316 MediaPipe \u7684\u7ed8\u56fe\u5de5\u5177\nmp_drawing = mp.solutions.drawing_utils\n\n# \u6253\u5f00\u9ed8\u8ba4\u6444\u50cf\u5934\ncap = cv2.VideoCapture(0)\n\nif not cap.isOpened():\n    print(&quot;\u9519\u8bef\uff1a\u65e0\u6cd5\u6253\u5f00\u6444\u50cf\u5934\u3002&quot;)\n    exit()\n\n# \u5b9e\u65f6\u5904\u7406\u6444\u50cf\u5934\u7684\u6bcf\u4e00\u5e27\nwhile cap.isOpened():\n    success, image = cap.read()\n    if not success:\n        print(&quot;\u5ffd\u7565\u4e86\u4e00\u4e2a\u7a7a\u5e27\u3002&quot;)\n        continue\n\n    # \u63d0\u9ad8\u6027\u80fd\uff1a\u5c06\u56fe\u50cf\u6807\u8bb0\u4e3a\u4e0d\u53ef\u5199\n    image.flags.writeable = False\n    # \u8f6c\u6362\u8272\u5f69\u7a7a\u95f4 BGR -&gt; RGB\n    image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n\n    # \u8fd0\u884c\u59ff\u6001\u4f30\u8ba1\n    results = pose.process(image_rgb)\n\n    # \u5c06\u56fe\u50cf\u6807\u8bb0\u4e3a\u53ef\u5199\uff0c\u4ee5\u4fbf\u7ed8\u5236\n    image.flags.writeable = True\n\n    # \u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u9aa8\u9abc\n    if results.pose_landmarks:\n        mp_drawing.draw_landmarks(\n            image,\n            results.pose_landmarks,\n            mp_pose.POSE_CONNECTIONS,\n            landmark_drawing_spec=mp_drawing.DrawingSpec(color=(0, 255, 0), thickness=2, circle_radius=4),\n            connection_drawing_spec=mp_drawing.DrawingSpec(color=(0, 0, 255), thickness=2, circle_radius=2)\n        )\n\n    # \u4ea7\u751f\u955c\u50cf\u6548\u679c\n    flipped_image = cv2.flip(image, 1)\n\n    # \u663e\u793a\u7ed3\u679c\n    cv2.imshow('Real-time Dance Skeleton by MediaPipe', flipped_image)\n\n    # \u6309 'q' \u6216 ESC \u9000\u51fa\n    if cv2.waitKey(5) &amp; 0xFF in [ord('q'), 27]:\n        break\n\n# \u91ca\u653e\u8d44\u6e90\ncap.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n<p>\u73b0\u5728\uff0c\u6253\u5f00\u7ec8\u7aef\uff0c\u8fdb\u5165\u6587\u4ef6\u6240\u5728\u7684\u76ee\u5f55\uff0c\u7136\u540e\u8fd0\u884c\u5b83\uff01<\/p>\n<pre><code class=\"lang-bash language-bash bash\">python dance_tracker.py<\/code><\/pre>\n<p>\u4e00\u4e2a\u7a97\u53e3\u5e94\u8be5\u4f1a\u5f39\u51fa\uff0c\u663e\u793a\u4f60\u7684\u6444\u50cf\u5934\u753b\u9762\u3002\u5f53\u4f60\u51fa\u73b0\u5728\u955c\u5934\u524d\u65f6\uff0c\u4e00\u4e2a\u7531\u7eff\u8272\u8282\u70b9\u548c\u84dd\u8272\u7ebf\u6761\u7ec4\u6210\u7684\u9aa8\u9abc\u52a8\u753b\u5c31\u4f1a\u795e\u5947\u5730\u53e0\u52a0\u5728\u4f60\u7684\u8eab\u4e0a\uff0c\u5e76\u5b9e\u65f6\u8ddf\u968f\u4f60\u7684\u6bcf\u4e00\u4e2a\u52a8\u4f5c\uff01<\/p>\n<hr \/>\n<h2>\ud83d\udca1 \u5e38\u89c1\u95ee\u9898\u4e0e\u5c55\u671b<\/h2>\n<h4>1: \u7a0b\u5e8f\u62a5\u9519\u201c\u65e0\u6cd5\u6253\u5f00\u6444\u50cf\u5934\u201d\u600e\u4e48\u529e\uff1f<\/h4>\n<p>\u8fd9\u901a\u5e38\u662f\u6743\u9650\u95ee\u9898\uff0c\u7279\u522b\u662f\u5728 macOS \u6216 Windows \u4e0a\u3002<\/p>\n<ul>\n<li><strong>macOS<\/strong>: \u8bf7\u8fdb\u5165 <code>\u7cfb\u7edf\u8bbe\u7f6e &gt; \u9690\u79c1\u4e0e\u5b89\u5168 &gt; \u6444\u50cf\u5934<\/code>\uff0c\u786e\u4fdd\u4f60\u7528\u6765\u8fd0\u884c\u811a\u672c\u7684\u7a0b\u5e8f\uff08\u5982\u201c\u7ec8\u7aef\u201d\u6216\u4f60\u7684\u4ee3\u7801\u7f16\u8f91\u5668VS Code\uff09\u7684\u6743\u9650\u5f00\u5173\u662f\u6253\u5f00\u7684\u3002<\/li>\n<li><strong>Windows<\/strong>: \u8bf7\u8fdb\u5165 <code>\u8bbe\u7f6e &gt; \u9690\u79c1\u548c\u5b89\u5168\u6027 &gt; \u76f8\u673a<\/code>\uff0c\u786e\u4fdd\u201c\u5141\u8bb8\u5e94\u7528\u8bbf\u95ee\u4f60\u7684\u76f8\u673a\u201d\u662f\u5f00\u542f\u7684\u3002<\/li>\n<\/ul>\n<h3>2:\u8fdb\u9636\u73a9\u6cd5\u548c\u4f18\u5316<\/h3>\n<p>\u5f53\u4f60\u6210\u529f\u8fd0\u884c\u4e86\u57fa\u7840\u7248\u672c\u540e\uff0c\u8fd8\u53ef\u4ee5\u5c1d\u8bd5\u505a\u4e00\u4e9b\u66f4\u6709\u8da3\u7684\u4e8b\u60c5\uff1a<\/p>\n<ol>\n<li><strong>\u5904\u7406\u89c6\u9891\u6587\u4ef6<\/strong>\uff1a \u5c06 <code>cap = cv2.VideoCapture(0)<\/code> \u6539\u4e3a <code>cap = cv2.VideoCapture('\u4f60\u7684\u89c6\u9891\u6587\u4ef6.mp4')<\/code>\uff0c\u5c31\u53ef\u4ee5\u5904\u7406\u672c\u5730\u7684\u821e\u8e48\u89c6\u9891\u4e86\u3002<\/li>\n<li><strong>\u83b7\u53d6\u7279\u5b9a\u5173\u8282\u70b9\u5750\u6807<\/strong>\uff1a <code>results.pose_landmarks<\/code> \u5bf9\u8c61\u4e2d\u5305\u542b\u4e86\u6240\u670933\u4e2a\u5173\u8282\u70b9\u7684\u5750\u6807\uff08x, y, z, visibility\uff09\u3002\u4f60\u53ef\u4ee5\u8bbf\u95ee\u5b83\u4eec\u5e76\u8fdb\u884c\u8ba1\u7b97\uff0c\u4f8b\u5982\uff1a\n<ul>\n<li>\u8ba1\u7b97\u624b\u81c2\u5f2f\u66f2\u7684\u89d2\u5ea6\u3002<\/li>\n<li>\u5224\u65ad\u4f60\u662f\u5426\u505a\u51fa\u4e86\u67d0\u4e2a\u7279\u5b9a\u7684\u59ff\u52bf\uff08\u6bd4\u5982\u201c\u5927\u201d\u5b57\u5f62\uff09\u3002<\/li>\n<li>\u5c06\u9aa8\u9abc\u6570\u636e\u53d1\u9001\u5230 Unity \u6216 Unreal Engine\uff0c\u9a71\u52a8\u4e00\u4e2a 3D \u6a21\u578b\u3002<\/li>\n<\/ul><\/li>\n<li><strong>\u7f8e\u5316\u89c6\u89c9\u6548\u679c<\/strong>\uff1a \u4f60\u53ef\u4ee5\u5b8c\u5168\u81ea\u5b9a\u4e49\u7ed8\u5236\u7684\u9aa8\u9abc\u6837\u5f0f\uff0c\u6bd4\u5982\u6539\u53d8\u989c\u8272\u3001\u7c97\u7ec6\uff0c\u6216\u8005\u7528\u66f4\u9177\u70ab\u7684\u56fe\u5f62\u5143\u7d20\u66ff\u6362\u7b80\u5355\u7684\u7ebf\u6761\u548c\u5706\u70b9\u3002<\/li>\n<li><strong>\u6027\u80fd<\/strong>\uff1a MediaPipe \u5df2\u7ecf\u975e\u5e38\u5feb\u4e86\u3002\u5982\u679c\u4f60\u7684\u7535\u8111\u914d\u7f6e\u8f83\u9ad8\uff08\u6709\u4e0d\u9519\u7684\u72ec\u7acb\u663e\u5361\uff09\uff0c\u5b83\u7684\u8868\u73b0\u4f1a\u66f4\u597d\u3002\u5982\u679c\u4f60\u89c9\u5f97\u5361\u987f\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u964d\u4f4e\u6444\u50cf\u5934\u7684\u5206\u8fa8\u7387\u3002<\/li>\n<\/ol>\n<h2>\u603b\u7ed3<\/h2>\n<p>\u606d\u559c\u4f60\uff01\u4f60\u5df2\u7ecf\u6210\u529f\u6784\u5efa\u4e86\u4e00\u4e2a\u5c5e\u4e8e\u81ea\u5df1\u7684AI\u5b9e\u65f6\u52a8\u4f5c\u6355\u6349\u5e94\u7528\u3002\u901a\u8fc7\u8fd9\u4e2a\u9879\u76ee\uff0c\u6211\u4eec\u4e0d\u4ec5\u5b66\u4f1a\u4e86\u5982\u4f55\u4f7f\u7528 OpenCV \u548c MediaPipe\uff0c\u66f4\u6253\u5f00\u4e86\u901a\u5f80\u8ba1\u7b97\u673a\u89c6\u89c9\u4e16\u754c\u7684\u5927\u95e8\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u6fc0\u53d1\u4f60\u7684\u521b\u9020\u529b\uff0c\u53bb\u63a2\u7d22\u66f4\u591aAI\u4e0e\u73b0\u5b9e\u4e16\u754c\u4ea4\u4e92\u7684\u53ef\u80fd\u6027\u3002<\/p>\n<p><strong>Happy coding!<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>\u66fe\u7ecf\u60f3\u8fc7\u8ba9\u7535\u8111\u50cf\u955c\u5b50\u4e00\u6837\u5b9e\u65f6\u6a21\u4eff\u4f60\u7684\u52a8\u4f5c\u5417\uff1f\u6216\u8005\u521b\u5efa\u4e00\u4e2aAI\u5065\u8eab\u6559\u7ec3\u6765\u7ea0\u6b63\u4f60\u7684\u59ff\u52bf\uff1f\u4eca\u5929\uff0c\u6211\u4eec\u5c06\u4e00\u8d77\u52a8\u624b\u5b9e\u73b0\u8fd9\u4e2a\u9177\u70ab\u7684\u60f3\u6cd5\uff01\u672c\u6587\u5c06 &#8230;<\/p>","protected":false},"author":1,"featured_media":173,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"emotion":"","emotion_color":"","title_style":"","license":"","footnotes":""},"categories":[18],"tags":[],"class_list":["post-193","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python"],"_links":{"self":[{"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/posts\/193","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/comments?post=193"}],"version-history":[{"count":1,"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/posts\/193\/revisions"}],"predecessor-version":[{"id":195,"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/posts\/193\/revisions\/195"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/media\/173"}],"wp:attachment":[{"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/media?parent=193"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/categories?post=193"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/caoxunyi.cn\/index.php\/wp-json\/wp\/v2\/tags?post=193"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}