Control Volume with Hand using Python Opencv

Control Volume with Hand using Python Opencv

import cv2
import mediapipe as mp
import numpy as np
import math
import pyautogui
import ctypes
 
# Set up volume control parameters
min_distance = 20  # Minimum distance between thumb and index finger
max_distance = 200  # Maximum distance between thumb and index finger
min_volume = 0  # Minimum volume level
max_volume = 100  # Maximum volume level
 
# Set up screen resolution
user32 = ctypes.windll.user32
screen_width, screen_height = user32.GetSystemMetrics(0), user32.GetSystemMetrics(1)
 
# Initialize Mediapipe
mp_drawing = mp.solutions.drawing_utils
mp_hands = mp.solutions.hands
 
# Initialize PyAutoGUI
pyautogui.FAILSAFE = False
 
# Initialize hand tracking
hands = mp_hands.Hands(static_image_mode=False, max_num_hands=1, min_detection_confidence=0.7)
 
# Main loop
cap = cv2.VideoCapture(0)
while cap.isOpened():
    success, frame = cap.read()
    if not success:
        print("Failed to read video frame")
        break
 
    # Flip the frame horizontally for a mirror effect
    frame = cv2.flip(frame, 1)
 
    # Convert the frame from BGR to RGB
    frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
 
    # Process the frame with hand tracking
    results = hands.process(frame_rgb)
 
    # Check if hands are detected
    if results.multi_hand_landmarks:
        for hand_landmarks in results.multi_hand_landmarks:
            # Get the landmarks for the thumb and index finger
            thumb = hand_landmarks.landmark[mp_hands.HandLandmark.THUMB_TIP]
            index = hand_landmarks.landmark[mp_hands.HandLandmark.INDEX_FINGER_TIP]
 
            # Convert the landmark positions to screen coordinates
            thumb_x, thumb_y = int(thumb.x * screen_width), int(thumb.y * screen_height)
            index_x, index_y = int(index.x * screen_width), int(index.y * screen_height)
 
            # Calculate the Euclidean distance between thumb and index finger
            distance = math.sqrt((thumb_x - index_x) ** 2 + (thumb_y - index_y) ** 2)
 
            # Map the distance to the volume range
            volume = np.interp(distance, [min_distance, max_distance], [min_volume, max_volume])
 
            # Set the system volume using PyAutoGUI
            pyautogui.press("volumedown")  # Decrease volume (optional)
            pyautogui.press("volumemute")  # Mute volume (optional)
            pyautogui.press("volumeup")  # Increase volume (optional)
            pyautogui.press("volumeup")  # Increase volume (optional)
            pyautogui.press("volumeup")  # Increase volume (optional)
            pyautogui.press("volumeup")  # Increase volume (optional)
            pyautogui.press("volumeup")  # Increase volume (optional)
 
            # Uncomment the following line to set the volume directly
            # pyautogui.press(f"volumedown {volume}")
 
            # Draw the thumb and index finger landmarks
            cv2.circle(frame, (thumb_x, thumb_y), 5, (0, 255, 0), -1)
            cv2.circle(frame, (index_x, index_y), 5, (0, 255, 0), -1)
 
            # Draw a line between thumb and index finger
            cv2.line(frame, (thumb_x, thumb_y), (index_x, index_y), (0, 255, 0), 2)
 
    # Display the frame
    cv2.imshow('Hand Volume Control', frame)
 
    # Exit if 'q' is pressed
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
 
# Release the video capture and destroy windows
cap.release()
cv2.destroyAllWindows()