Chethan's Code

#OpenCv with mediapipe without output

import cv2
import mediapipe as mp

# Initialize MediaPipe Hands
mp_hands = mp.solutions.hands
hands = mp_hands.Hands(min_detection_confidence=0.7, min_tracking_confidence=0.5)
mp_draw = mp.solutions.drawing_utils

# Capture video input from the laptop camera (default camera)
cap = cv2.VideoCapture(0)

if not cap.isOpened():
    print("Error: Could not open camera.")
    exit()

while True:
    ret, frame = cap.read()
    if not ret:
        print("Error: Could not read frame.")
        break

    # Flip the frame horizontally for a mirror effect
    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 hand landmarks
    if results.multi_hand_landmarks:
        for hand_landmarks in results.multi_hand_landmarks:
            mp_draw.draw_landmarks(frame, hand_landmarks, mp_hands.HAND_CONNECTIONS)

    # Display the result
    cv2.imshow('Hand Recognition', frame)

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

cap.release()
cv2.destroyAllWindows()