hand_tracking.py

import cv2
import mediapipe as mp

if __name__ == '__main__':
    mp_hand = mp.solutions.hands
    hands = mp_hand.Hands(
        static_image_mode=False,
        max_num_hands=2,
        model_complexity=1,
        min_detection_confidence=0.5,
        min_tracking_confidence=0.5
    )
    mp_drawing = mp.solutions.drawing_utils
    landmark_drawing_spec = mp.solutions.drawing_utils.DrawingSpec(color=(255, 0, 0), thickness=5, circle_radius=5)
    connection_drawing_spec = mp.solutions.drawing_utils.DrawingSpec(color=(0, 255, 0), thickness=2, circle_radius=2)

    cap = cv2.VideoCapture(0)
    if not cap.isOpened():
        print("Error: Could not open video source.")
        exit()

    while cap.isOpened():
        success, image = cap.read()
        if not success:
            break

        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        results = hands.process(image)

        if results.multi_hand_landmarks:
            for hand_landmarks in results.multi_hand_landmarks:
                mp_drawing.draw_landmarks(image, hand_landmarks, mp_hand.HAND_CONNECTIONS, landmark_drawing_spec, connection_drawing_spec)


        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
        cv2.imshow('Hand Tracking', image)

        if cv2.waitKey(5) & 0xFF == 27:
            break

    cap.release()
    cv2.destroyAllWindows()