track_movement.py

import cv2
import mediapipe as mp

mp_drawing = mp.solutions.drawing_utils
mp_hands = mp.solutions.hands
mp_face = mp.solutions.face_detection
mp_pose = mp.solutions.pose

cap = cv2.VideoCapture(0)

with mp_hands.Hands(min_detection_confidence=0.5, min_tracking_confidence=0.5) as hands:
    with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose:
        with mp_face.FaceDetection(min_detection_confidence=0.5) as face_detection:
            while cap.isOpened():
                ret, frame = cap.read()
                if not ret:
                    break

                image_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

                results_hands = hands.process(image_rgb)
                results_face = face_detection.process(image_rgb)
                results_pose = pose.process(image_rgb)

                if results_hands.multi_hand_landmarks:
                    for hand_landmarks in results_hands.multi_hand_landmarks:
                        mp_drawing.draw_landmarks(frame, hand_landmarks, mp_hands.HAND_CONNECTIONS)
                if results_face.detections:
                    for detection in results_face.detections:
                        mp_drawing.draw_detection(frame, detection)
                if results_pose.pose_landmarks:
                    mp_drawing.draw_landmarks(frame, results_pose.pose_landmarks, mp_pose.POSE_CONNECTIONS)

                cv2.imshow('Frame', frame)
                if cv2.waitKey(1) & 0xFF == ord('q'):
                    break

cap.release()
cv2.destroyAllWindows()