环境配置
首先,确保你已安装所需的包:
            
            
              python
              
              
            
          
          pip install mediapipe opencv-python numpy pygame代码实现:
            
            
              python
              
              
            
          
          import cv2
import mediapipe as mp
import time
import pygame
from PIL import ImageFont, ImageDraw, Image
import numpy as np
class PostureMonitor:
    def __init__(self, camera_index=0, alert_sound="alert.MP3", alert_delay=2):
        # MediaPipe初始化
        self.mp_pose = mp.solutions.pose
        self.pose = self.mp_pose.Pose(min_detection_confidence=0.5,
                                      min_tracking_confidence=0.5)
        self.mp_drawing = mp.solutions.drawing_utils
        # 摄像头
        self.cap = cv2.VideoCapture(camera_index)
        # 提醒设置
        pygame.mixer.init()
        self.alert_sound = pygame.mixer.Sound(alert_sound)
        self.alert_delay = alert_delay  # 坐姿错误持续多久后提醒
        # 状态
        self.bad_posture_start = None
        self.alert_played = False
        # 中文字体(Windows 下可用微软雅黑 msyh.ttc,Linux/Mac 请改成系统有的字体)
        self.font_path = "C:/Windows/Fonts/msyh.ttc"
        self.font = ImageFont.truetype(self.font_path, 32, encoding="utf-8")
    def check_posture(self, landmarks):
        """
        根据关键点判断坐姿是否异常
        返回: list of 异常信息
        """
        issues = []
        # 取出关键点
        nose = landmarks[self.mp_pose.PoseLandmark.NOSE.value]
        left_shoulder = landmarks[self.mp_pose.PoseLandmark.LEFT_SHOULDER.value]
        right_shoulder = landmarks[self.mp_pose.PoseLandmark.RIGHT_SHOULDER.value]
        left_hip = landmarks[self.mp_pose.PoseLandmark.LEFT_HIP.value]
        right_hip = landmarks[self.mp_pose.PoseLandmark.RIGHT_HIP.value]
        # 1. 左右肩高度差
        shoulder_diff = abs(left_shoulder.y - right_shoulder.y)
        if shoulder_diff > 0.05:
            issues.append("身体左右倾斜")
        # 2. 头部前倾(z值大表示更靠近摄像头)
        if nose.z < -1.1:
            issues.append("头部前倾/驼背")
        # 3. 身体前倾(鼻子y比臀部低很多)
        hip_y = (left_hip.y + right_hip.y) / 2
        if (nose.y - hip_y) < -1.3:
            issues.append("身体整体前倾")
        return issues
    def play_alert(self):
        """播放提醒音"""
        if not self.alert_played:
            self.alert_sound.play()
            self.alert_played = True
    def reset_alert(self):
        """重置提醒状态"""
        self.bad_posture_start = None
        self.alert_played = False
    def add_chinese_text(self, img, text, position, color=(255, 0, 0)):
        """在OpenCV图像上绘制中文"""
        img_pil = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
        draw = ImageDraw.Draw(img_pil)
        draw.text(position, text, font=self.font, fill=color)
        return cv2.cvtColor(np.array(img_pil), cv2.COLOR_RGB2BGR)
    def run(self):
        """主循环"""
        while self.cap.isOpened():
            ret, frame = self.cap.read()
            if not ret:
                break
            # 转换为RGB
            image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
            results = self.pose.process(image_rgb)
            # 可视化骨架
            if results.pose_landmarks:
                self.mp_drawing.draw_landmarks(
                    frame, results.pose_landmarks, self.mp_pose.POSE_CONNECTIONS)
                # 检测坐姿
                issues = self.check_posture(results.pose_landmarks.landmark)
                if issues:
                    print(issues)
                    if self.bad_posture_start is None:
                        self.bad_posture_start = time.time()
                    elif time.time() - self.bad_posture_start > self.alert_delay:
                        frame = self.add_chinese_text(frame, f"警告: {', '.join(issues)}", (30, 50))
                        self.play_alert()
                else:
                    self.reset_alert()
            cv2.imshow("Posture Monitor", frame)
            if cv2.waitKey(10) & 0xFF == ord('q'):
                break
        self.cap.release()
        cv2.destroyAllWindows()
if __name__ == "__main__":
    monitor = PostureMonitor(camera_index=0, alert_sound="alert.MP3", alert_delay=2)
    monitor.run()运行效果
