{"id":37,"date":"2025-07-31T08:09:18","date_gmt":"2025-07-31T16:09:18","guid":{"rendered":"https:\/\/dreamrunrun.com\/blog\/?p=37"},"modified":"2025-08-05T06:12:29","modified_gmt":"2025-08-05T14:12:29","slug":"%e5%ae%9e%e7%8e%b0%e4%ba%ba%e4%bd%93%e5%ae%9e%e6%97%b6%e5%8a%a8%e4%bd%9c%e6%8d%95%e6%8d%89","status":"publish","type":"post","link":"https:\/\/dreamrunrun.com\/blog\/?p=37","title":{"rendered":"\u5b9e\u73b0\u4eba\u4f53\u5b9e\u65f6\u52a8\u4f5c\u6355\u6349"},"content":{"rendered":"\n

\u8981\u5b9e\u73b0 \u4eba\u4f53\u5b9e\u65f6\u52a8\u4f5c\u6355\u6349<\/strong>\uff0c\u53ef\u4ee5\u4f7f\u7528\u8ba1\u7b97\u673a\u89c6\u89c9\u6280\u672f\uff0c\u7ed3\u5408 OpenCV \u548c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff08\u5982 MediaPipe\u3001OpenPose\u3001BlazePose \u7b49\uff09\u6765\u68c0\u6d4b\u4eba\u4f53\u7684\u5173\u952e\u70b9\uff08\u5173\u8282\u3001\u9aa8\u9abc\uff09\uff0c\u7136\u540e\u901a\u8fc7\u8fd9\u4e9b\u70b9\u8ba1\u7b97\u52a8\u4f5c\u548c\u59ff\u6001\u3002\u4e0b\u9762\u6211\u5c06\u4ece \u57fa\u7840\u539f\u7406<\/strong> \u5230 \u4ee3\u7801\u5b9e\u73b0<\/strong>\uff0c\u5206\u6b65\u9aa4\u8be6\u7ec6\u8bb2\u89e3\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e00\u3001\u52a8\u4f5c\u6355\u6349\u7684\u57fa\u672c\u539f\u7406<\/h2>\n\n\n\n

\u4eba\u4f53\u52a8\u4f5c\u6355\u6349\u7684\u6838\u5fc3\u662f \u4eba\u4f53\u59ff\u6001\u4f30\u8ba1<\/strong>\uff0c\u5373\u5728\u56fe\u50cf\u6216\u89c6\u9891\u4e2d\u8bc6\u522b\u51fa\u4eba\u4f53\u7684\u5173\u952e\u70b9\uff08\u5982\u5934\u90e8\u3001\u80a9\u8180\u3001\u8098\u90e8\u3001\u819d\u76d6\u7b49\uff09\uff0c\u5e76\u5b9e\u65f6\u8ddf\u8e2a\u8fd9\u4e9b\u70b9\u7684\u4f4d\u7f6e\u53d8\u5316\uff0c\u4ece\u800c\u63a8\u65ad\u51fa\u4eba\u4f53\u7684\u52a8\u4f5c\u3002<\/p>\n\n\n\n

\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\uff1a<\/p>\n\n\n\n

    \n
  • \u57fa\u4e8e\u4f20\u7edf\u7b97\u6cd5<\/strong>\uff1a\u5982 HOG\uff08\u65b9\u5411\u68af\u5ea6\u76f4\u65b9\u56fe\uff09+ SVM\uff0c\u4f46\u7cbe\u5ea6\u4f4e\uff0c\u96be\u4ee5\u5e94\u5bf9\u590d\u6742\u52a8\u4f5c\u3002<\/li>\n\n\n\n
  • \u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60<\/strong>\uff1a\n
      \n
    • MediaPipe Pose<\/strong>\uff1aGoogle \u5f00\u6e90\uff0c\u8f7b\u91cf\u3001\u9ad8\u6548\uff0c\u9002\u5408\u5b9e\u65f6\u5e94\u7528\u3002<\/li>\n\n\n\n
    • OpenPose<\/strong>\uff1a\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u5f00\u6e90\uff0c\u7cbe\u5ea6\u9ad8\uff0c\u9002\u5408\u591a\u4eba\u4f53\u68c0\u6d4b\u3002<\/li>\n\n\n\n
    • BlazePose<\/strong>\uff1aGoogle \u9488\u5bf9\u79fb\u52a8\u7aef\u4f18\u5316\uff0c\u901f\u5ea6\u5feb\uff0c\u9002\u5408\u624b\u673a\u3001\u5d4c\u5165\u5f0f\u8bbe\u5907\u3002<\/li>\n\n\n\n
    • MMPose<\/strong>\uff08\u57fa\u4e8e PyTorch\uff09\uff1a\u529f\u80fd\u5f3a\u5927\uff0c\u652f\u6301\u591a\u79cd\u6a21\u578b\uff0c\u9002\u5408\u7814\u7a76\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
      \n\n\n\n

      \u4e8c\u3001\u73af\u5883\u51c6\u5907<\/h2>\n\n\n\n

      \u6211\u4eec\u9700\u8981\u5b89\u88c5\u4ee5\u4e0b\u5e93\uff1a<\/p>\n\n\n\n

      pip install opencv-python mediapipe numpy\n<\/code><\/pre>\n\n\n\n
        \n
      • OpenCV<\/strong>\uff1a\u7528\u4e8e\u8bfb\u53d6\u6444\u50cf\u5934\u89c6\u9891\u6d41\u3002<\/li>\n\n\n\n
      • MediaPipe<\/strong>\uff1a\u7528\u4e8e\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1\u3002<\/li>\n\n\n\n
      • NumPy<\/strong>\uff1a\u7528\u4e8e\u6570\u636e\u5904\u7406\u3002<\/li>\n<\/ul>\n\n\n\n
        \n\n\n\n
        \u4e09\u3001\u4f7f\u7528 MediaPipe \u5b9e\u73b0\u5b9e\u65f6\u52a8\u4f5c\u6355\u6349<\/h2>\n\n\n\n
        1. \u521d\u59cb\u5316 MediaPipe Pose \u6a21\u578b<\/h3>\n\n\n\n
        import cv2\nimport mediapipe as mp\n\n# \u521d\u59cb\u5316 MediaPipe Pose<\/em>\nmp_pose = mp.solutions.pose\npose = mp_pose.Pose()\nmp_drawing = mp.solutions.drawing_utils\n<\/code><\/pre>\n\n\n\n
        2. \u6253\u5f00\u6444\u50cf\u5934\u5e76\u5b9e\u65f6\u68c0\u6d4b<\/h3>\n\n\n\n
        cap = cv2.VideoCapture(0)  # 0 \u8868\u793a\u9ed8\u8ba4\u6444\u50cf\u5934<\/em>\n\nwhile cap.isOpened():\n    ret, frame = cap.read()\n    if not ret:\n        break\n\n    # \u8f6c\u6362\u4e3a RGB\uff0c\u56e0\u4e3a MediaPipe \u9700\u8981 RGB \u8f93\u5165<\/em>\n    image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n    results = pose.process(image_rgb)\n\n    # \u5982\u679c\u68c0\u6d4b\u5230\u4eba\u4f53\uff0c\u7ed8\u5236\u5173\u952e\u70b9\u548c\u9aa8\u67b6<\/em>\n    if results.pose_landmarks:\n        mp_drawing.draw_landmarks(\n            frame, \n            results.pose_landmarks, \n            mp_pose.POSE_CONNECTIONS,\n            mp_drawing.DrawingSpec(color=(0, 255, 0), thickness=2, circle_radius=2),\n            mp_drawing.DrawingSpec(color=(0, 0, 255), thickness=2)\n        )\n\n    # \u663e\u793a\u7ed3\u679c<\/em>\n    cv2.imshow('Real-time Pose Detection', frame)\n\n    # \u6309 'q' \u9000\u51fa<\/em>\n    if cv2.waitKey(1) & 0xFF == ord('q'):\n        break\n\ncap.release()\ncv2.destroyAllWindows()\n<\/code><\/pre>\n\n\n\n
        3. \u8f93\u51fa\u5173\u952e\u70b9\u5750\u6807<\/h3>\n\n\n\n
        if results.pose_landmarks:\n    for idx, landmark in enumerate(results.pose_landmarks.landmark):\n        print(f\"Point {idx}: ({landmark.x}, {landmark.y}, {landmark.z})\")\n<\/code><\/pre>\n\n\n\n
        \n\n\n\n
        \u56db\u3001\u52a8\u4f5c\u8bc6\u522b\u4e0e\u6355\u6349\u6269\u5c55<\/h2>\n\n\n\n
        1. \u52a8\u4f5c\u8bc6\u522b\uff08\u5982\u4e3e\u624b\u3001\u6df1\u8e72\u3001\u8df3\u8dc3\uff09<\/h3>\n\n\n\n
        \u53ef\u4ee5\u901a\u8fc7\u8ba1\u7b97\u5173\u952e\u70b9\u4e4b\u95f4\u7684\u89d2\u5ea6\u6216\u8ddd\u79bb\u6765\u5224\u65ad\u52a8\u4f5c\u3002\u4f8b\u5982\uff1a<\/p>\n\n\n\n
          \n
        • \u4e3e\u624b<\/strong>\uff1a\u5224\u65ad\u624b\u8155\u662f\u5426\u9ad8\u4e8e\u80a9\u8180\u3002<\/li>\n\n\n\n
        • \u6df1\u8e72<\/strong>\uff1a\u8ba1\u7b97\u819d\u76d6\u548c\u9acb\u90e8\u7684\u5782\u76f4\u8ddd\u79bb\u53d8\u5316\u3002<\/li>\n\n\n\n
        • \u8df3\u8dc3<\/strong>\uff1a\u68c0\u6d4b\u811a\u90e8\u662f\u5426\u79bb\u5730\u3002<\/li>\n<\/ul>\n\n\n\n
          \u793a\u4f8b\u4ee3\u7801\uff08\u5224\u65ad\u662f\u5426\u4e3e\u624b\uff09\uff1a<\/p>\n\n\n\n
          def is_hand_raised(landmarks):\n    # \u83b7\u53d6\u5de6\u53f3\u624b\u8155\u548c\u80a9\u8180\u7684\u5750\u6807<\/em>\n    left_wrist = landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value]\n    right_wrist = landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value]\n    left_shoulder = landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value]\n    right_shoulder = landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value]\n\n    # \u5224\u65ad\u624b\u8155\u662f\u5426\u9ad8\u4e8e\u80a9\u8180<\/em>\n    left_raised = left_wrist.y < left_shoulder.y\n    right_raised = right_wrist.y < right_shoulder.y\n\n    return left_raised or right_raised\n\n# \u5728\u4e3b\u5faa\u73af\u4e2d\u8c03\u7528<\/em>\nif results.pose_landmarks:\n    if is_hand_raised(results.pose_landmarks.landmark):\n        print(\"Hand raised!\")\n<\/code><\/pre>\n\n\n\n
          2. \u52a8\u4f5c\u6355\u6349\u6570\u636e\u4fdd\u5b58<\/h3>\n\n\n\n
          \u53ef\u4ee5\u5c06\u5173\u952e\u70b9\u5750\u6807\u4fdd\u5b58\u4e3a CSV \u6216 JSON \u6587\u4ef6\uff0c\u7528\u4e8e\u540e\u7eed\u5206\u6790\u6216\u8bad\u7ec3\u6a21\u578b\u3002<\/p>\n\n\n\n
          import csv\n\nwith open('pose_data.csv', 'w', newline='') as file:\n    writer = csv.writer(file)\n    writer.writerow(['frame', 'point_id', 'x', 'y', 'z'])\n    \n    frame_count = 0\n    while cap.isOpened():\n        ret, frame = cap.read()\n        if not ret:\n            break\n        \n        image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n        results = pose.process(image_rgb)\n        \n        if results.pose_landmarks:\n            for idx, landmark in enumerate(results.pose_landmarks.landmark):\n                writer.writerow([frame_count, idx, landmark.x, landmark.y, landmark.z])\n        \n        frame_count += 1\n<\/code><\/pre>\n\n\n\n
          \n\n\n\n
          \u4e94\u3001\u8fdb\u9636\uff1a\u4f7f\u7528 OpenPose \u6216 BlazePose<\/h2>\n\n\n\n
          1. OpenPose<\/h3>\n\n\n\n
          OpenPose \u652f\u6301\u591a\u4eba\u4f53\u68c0\u6d4b\uff0c\u9002\u5408\u590d\u6742\u573a\u666f\u3002\u9700\u8981\u5148\u5b89\u88c5 OpenPose\uff08\u4f9d\u8d56 Caffe \u548c CUDA\uff09\u3002<\/p>\n\n\n\n
          git clone https:\/\/github.com\/CMU-Perceptual-Computing-Lab\/openpose.git\ncd openpose\n# \u6309\u7167\u5b98\u65b9\u6587\u6863\u5b89\u88c5\u4f9d\u8d56<\/em>\n<\/code><\/pre>\n\n\n\n
          2. BlazePose<\/h3>\n\n\n\n
          BlazePose \u662f Google \u9488\u5bf9\u79fb\u52a8\u7aef\u4f18\u5316\u7684\u6a21\u578b\uff0c\u901f\u5ea6\u6781\u5feb\u3002<\/p>\n\n\n\n
          mp_pose = mp.solutions.pose\npose = mp_pose.Pose(\n    model_complexity=0,  # 0: BlazePose, 1\/2: \u66f4\u590d\u6742\u7684\u6a21\u578b<\/em>\n    smooth_landmarks=True,\n    enable_segmentation=True\n)\n<\/code><\/pre>\n\n\n\n
          \n\n\n\n
          \u516d\u3001\u5e94\u7528\u573a\u666f<\/h2>\n\n\n\n
            \n
          • \u5065\u8eab\u6307\u5bfc<\/strong>\uff1a\u5b9e\u65f6\u68c0\u6d4b\u6df1\u8e72\u3001\u4fef\u5367\u6491\u7b49\u52a8\u4f5c\u662f\u5426\u6807\u51c6\u3002<\/li>\n\n\n\n
          • \u624b\u52bf\u63a7\u5236<\/strong>\uff1a\u901a\u8fc7\u624b\u52bf\u63a7\u5236\u7535\u8111\u6216\u6e38\u620f\u3002<\/li>\n\n\n\n
          • \u52a8\u753b\u5236\u4f5c<\/strong>\uff1a\u5c06\u52a8\u4f5c\u6355\u6349\u6570\u636e\u5bfc\u5165 Blender\u3001Maya \u5236\u4f5c\u52a8\u753b\u3002<\/li>\n\n\n\n
          • \u533b\u7597\u5eb7\u590d<\/strong>\uff1a\u76d1\u6d4b\u60a3\u8005\u7684\u5eb7\u590d\u52a8\u4f5c\u662f\u5426\u6b63\u786e\u3002<\/li>\n<\/ul>\n\n\n\n
            \n\n\n\n
            \u4e03\u3001\u603b\u7ed3<\/h2>\n\n\n\n
            \u65b9\u6cd5<\/th>\u4f18\u70b9<\/th>\u7f3a\u70b9<\/th>\u9002\u7528\u573a\u666f<\/th><\/tr><\/thead>
            MediaPipe Pose<\/td>\u8f7b\u91cf\u3001\u5feb\u901f\u3001\u6613\u7528<\/td>\u7cbe\u5ea6\u7565\u4f4e\u4e8e OpenPose<\/td>\u5b9e\u65f6\u5e94\u7528\u3001\u79fb\u52a8\u7aef<\/td><\/tr>
            OpenPose<\/td>\u9ad8\u7cbe\u5ea6\u3001\u652f\u6301\u591a\u4eba\u4f53<\/td>\u5b89\u88c5\u590d\u6742\u3001\u8d44\u6e90\u6d88\u8017\u5927<\/td>\u7814\u7a76\u3001\u591a\u4eba\u4f53\u573a\u666f<\/td><\/tr>
            BlazePose<\/td>\u6781\u5feb\u3001\u9002\u5408\u79fb\u52a8\u7aef<\/td>\u529f\u80fd\u76f8\u5bf9\u8f83\u5c11<\/td>\u624b\u673a\u3001\u5d4c\u5165\u5f0f\u8bbe\u5907<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
            \u63a8\u8350\u65b9\u6848<\/strong>\uff1a<\/p>\n\n\n\n
              \n
            • \u521d\u5b66\u8005\u6216\u5b9e\u65f6\u5e94\u7528\uff1aMediaPipe Pose<\/strong><\/li>\n\n\n\n
            • \u9700\u8981\u9ad8\u7cbe\u5ea6\u6216\u591a\u4eba\u4f53\uff1aOpenPose<\/strong><\/li>\n\n\n\n
            • \u79fb\u52a8\u7aef\u6216\u5d4c\u5165\u5f0f\u8bbe\u5907\uff1aBlazePose<\/strong><\/li>\n<\/ul>\n\n\n\n
              \n\n\n\n
              <\/p>\n","protected":false},"excerpt":{"rendered":"
              \u8981\u5b9e\u73b0 \u4eba\u4f53\u5b9e\u65f6\u52a8\u4f5c\u6355\u6349\uff0c\u53ef\u4ee5\u4f7f\u7528\u8ba1\u7b97\u673a\u89c6\u89c9\u6280\u672f\uff0c\u7ed3\u5408 OpenCV \u548c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff08\u5982 Media […]<\/p>\n","protected":false},"author":1,"featured_media":208,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kadence_starter_templates_imported_post":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-37","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1"],"_links":{"self":[{"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/37","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=37"}],"version-history":[{"count":3,"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/37\/revisions"}],"predecessor-version":[{"id":209,"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/37\/revisions\/209"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=\/wp\/v2\/media\/208"}],"wp:attachment":[{"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=37"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=37"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dreamrunrun.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=37"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}