volume.py

import cv2
import mediapipe as mp
from math import hypot
from ctypes import cast, POINTER
from comtypes import CLSCTX_ALL
from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume
import numpy as np
 
cap = cv2.VideoCapture(0)
 
mpHands = mp.solutions.hands
hands = mpHands.Hands()
mpDraw = mp.solutions.drawing_utils
 
 
devices = AudioUtilities.GetSpeakers()
interface = devices.Activate(IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
volume = cast(interface, POINTER(IAudioEndpointVolume))
 
volMin,volMax = volume.GetVolumeRange()[:2]
 
while True:
    success,img = cap.read()
    imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
    results = hands.process(imgRGB)
 
    lmList = []
    if results.multi_hand_landmarks:
        for handlandmark in results.multi_hand_landmarks:
            for id,lm in enumerate(handlandmark.landmark):
                h,w,_ = img.shape
                cx,cy = int(lm.x*w),int(lm.y*h)
                lmList.append([id,cx,cy])
            mpDraw.draw_landmarks(img,handlandmark,mpHands.HAND_CONNECTIONS)
    
    if lmList != []:
        x1,y1 = lmList[4][1],lmList[4][2]
        x2,y2 = lmList[8][1],lmList[8][2]
 
        cv2.circle(img,(x1,y1),4,(255,0,0),cv2.FILLED)
        cv2.circle(img,(x2,y2),4,(255,0,0),cv2.FILLED)
        cv2.line(img,(x1,y1),(x2,y2),(255,0,0),3)
 
        length = hypot(x2-x1,y2-y1)
 
        vol = np.interp(length,[15,220],[volMin,volMax])
        print(vol,length)
        volume.SetMasterVolumeLevel(vol, None)
 
        # Hand range 15 - 220
        # Volume range -63.5 - 0.0
        
    cv2.imshow('Image',img)
    if cv2.waitKey(1) & 0xff==ord('q'):
        break