pose_detector.py

import mediapipe as mp
import cv2
import numpy as np

class PoseDetector:
    def __init__(self):
        self.mp_pose = mp.solutions.pose
        self.pose = self.mp_pose.Pose(
            min_detection_confidence=0.5,
            min_tracking_confidence=0.5
        )
        
    def detect_pose(self, frame):
        # Convert BGR to RGB
        rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        
        # Process the frame and detect poses
        results = self.pose.process(rgb_frame)
        
        if results.pose_landmarks:
            return results.pose_landmarks
        return None