wirelessSoundControl.py

import cv2
import mediapipe as mp
import time
import math
import numpy as np
from ctypes import cast, POINTER
from comtypes import CLSCTX_ALL
from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume
cap = cv2.VideoCapture(0)

pTime = 0
cTime = 0
mpHands =  mp.solutions.hands
hands = mpHands.Hands()
mpDraws = mp.solutions.drawing_utils
devices = AudioUtilities.GetSpeakers()
interface = devices.Activate(
    IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
volume = cast(interface, POINTER(IAudioEndpointVolume))

volRange = volume.GetVolumeRange()
minVol = volRange[0]
maxVol = volRange[1]
while True:
    success , img = cap.read()
    imgRGB = cv2.cvtColor(img , cv2.COLOR_BGR2RGB)
    results = hands.process(imgRGB)
    if results.multi_hand_landmarks:
        for handLms in results.multi_hand_landmarks:
            lmList =[]
            for id , lm in enumerate(handLms.landmark):
                
                #print(id , lm)
                h , w , c = img.shape
                cx , cy = int(lm.x*w) ,int(lm.y*h)
                #print(id,cx,cy)
                lmList.append([id, cx, cy])

                
                #if id == 1:
                #    cv2.circle(img ,(cx,cy) ,20, (255 , 0,125) ,cv2.FILLED )
                mpDraws.draw_landmarks(img , handLms , mpHands.HAND_CONNECTIONS)
                #print(results.multi_hand_landmarks)

            if lmList:    
                x1 , y1 = lmList[4][1] , lmList[4][2]
                x2 , y2 = lmList[8][1] , lmList[8][2]
                cv2.circle(img , (x1 ,y1) ,15 , (255,0,255) ,cv2.FILLED)
                cv2.circle(img , (x2 ,y2) ,15 , (255,0,255) ,cv2.FILLED)
                
                cv2.line(img, (x1,y1) , (x2,y2) , (255 , 0, 255) ,3)

                z1 = (x1 + x2)//2
                z2 = (y1 + y2)//2

                cv2.circle(img , (z1,z2),15 ,(255,0,0) , cv2.FILLED )
                length = math.hypot(x2- x1 , y2- y1)
                #print(length)

                if length < 50:
                    cv2.circle(img , (z1 , z2) ,15 ,(255,255,255) , cv2.FILLED)
                
            vol = np.interp(length , [50 ,300] ,[minVol ,maxVol])
            volBar = np.interp(length , [50,300] ,[400 ,150])
            volPer = np.interp(length , [50 , 300] , [0,100])
            #print(vol)
            print(int(length) , vol)
            #print(volume.GetVolumeRange())
            volume.SetMasterVolumeLevel(vol, None)
            
            cv2.rectangle(img ,(50,150) , (85,400) ,(0,255,0) , 3)
            cv2.rectangle(img ,(50,int(volBar)) , (85,400) ,(0,255,0) , cv2.FILLED)
            cv2.putText(img , f'{int(volPer)}%', (40,450) ,cv2.FONT_HERSHEY_PLAIN,3 ,(0,255,255) ,3)
            
            #if lmList:
            #    print(lmList[4][1] , lmList[8])

                
            
            
#    cTime = time.time()
#    fps = 1/(cTime - pTime)
#    pTime = cTime
#    cv2.putText(img , str(int(fps)) , (10,70) ,cv2.FONT_HERSHEY_PLAIN , 3, (255,0,255) , 3)

    

    cv2.imshow("Image" , img)
    cv2.waitKey(1)