hand_tracker.py

import cv2
import mediapipe as mp

# Initialize MediaPipe Hands
mp_hands = mp.solutions.hands
mp_drawing = mp.solutions.drawing_utils

hands = mp_hands.Hands(max_num_hands=1, min_detection_confidence=0.7)
cap = cv2.VideoCapture(0)

while True:
    success, frame = cap.read()
    if not success:
        continue

    # Flip and convert to RGB
    frame = cv2.flip(frame, 1)
    rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

    # Process hands
    result = hands.process(rgb)

    # Draw hand landmarks
    if result.multi_hand_landmarks:
        for hand_landmarks in result.multi_hand_landmarks:
            mp_drawing.draw_landmarks(
                frame, hand_landmarks, mp_hands.HAND_CONNECTIONS
            )

    # Show the result
    cv2.imshow("Hand Tracker", frame)

    # Exit on ESC
    if cv2.waitKey(1) & 0xFF == 27:
        break

cap.release()
cv2.destroyAllWindows()