import cv2
import mediapipe as mp

# Initialize Mediapipe Pose and Drawing modules
mp_pose = mp.solutions.pose
mp_drawing = mp.solutions.drawing_utils

# Set up pose detection
pose = mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5)

# Initialize camera
cap = cv2.VideoCapture(0)

while cap.isOpened():
    ret, frame = cap.read()
    if not ret:
        break

    # Flip the frame horizontally for a later selfie-view display
    frame = cv2.flip(frame, 1)
    # Convert the BGR image to RGB
    rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
    # Process the frame and get pose landmarks
    results = pose.process(rgb_frame)

    # Draw landmarks on the frame
    if results.pose_landmarks:
        mp_drawing.draw_landmarks(frame, results.pose_landmarks, mp_pose.POSE_CONNECTIONS)

        # Access and print the 3D landmarks
        landmarks = results.pose_landmarks.landmark
        for i, landmark in enumerate(landmarks):
            print(f"Landmark {i}: x={landmark.x}, y={landmark.y}, z={landmark.z}")

    # Display the frame
    cv2.imshow('Pose Detection', frame)

    # Break the loop if 'q' is pressed
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release resources
cap.release()
cv2.destroyAllWindows()