gestureRecognition.py

import cv2
import mediapipe as mp

# Initialize MediaPipe Hands
mp_hands = mp.solutions.hands
hands = mp_hands.Hands(static_image_mode=False,
                       max_num_hands=2,
                       min_detection_confidence=0.7)

mp_drawing = mp.solutions.drawing_utils

# Start video capture from the webcam
cap = cv2.VideoCapture(0)

while True:
    # Capture frame-by-frame
    ret, frame = cap.read()
    
    # Flip the frame horizontally for a selfie-view display
    frame = cv2.flip(frame, 1)

    # Convert the frame to RGB
    rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

    # Process the frame and detect hands
    results = hands.process(rgb_frame)

    # Draw the hand annotations on the frame
    if results.multi_hand_landmarks:
        for hand_landmarks in results.multi_hand_landmarks:
            mp_drawing.draw_landmarks(frame, hand_landmarks, mp_hands.HAND_CONNECTIONS)

    # Display the resulting frame
    cv2.imshow('Gesture Recognition', frame)

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

# Release the capture and close any open windows
cap.release()
cv2.destroyAllWindows()