handtracker.py

import cv2
import mediapipe as mp 
import math 
import numpy as np 

mphands =mp.solutions.hands
hands = mphands.Hands()
mpDraw =mp.solutions.drawing_utils 
lmlist = []

from ctypes import cast, POINTER
from comtypes import CLSCTX_ALL
from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume
devices = AudioUtilities.GetSpeakers()
interface = devices.Activate(
    IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
volume = cast(interface, POINTER(IAudioEndpointVolume))
#volume.GetMute()
#olume.GetMasterVolumeLevel()
volumeRANGE= volume.GetVolumeRange()
print(volumeRANGE)
minVol =volumeRANGE[0] 
maxVol =volumeRANGE[1] 
#volume.SetMasterVolumeLevel(-20.0, None)

camera = cv2.VideoCapture(0)

while True :
   ret, img =camera.read()
   imgRGB =cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
   results=hands.process(imgRGB)

   if results.multi_hand_landmarks:
    for handlms in results.multi_hand_landmarks:

        for id, lm in enumerate(handlms.landmark):
            
            h, w, c =img.shape 
            cx,cy = int(lm.x*w) ,int(lm.y*h)

            if id == 4:
                x1,y1 =cx,cy
                cv2.circle(img,(x1,y1),15,(225,225,225),cv2.FILLED)


            if id == 8:
                x2,y2 =cx,cy   
                cv2.circle(img,(x2,y2),15,(225,225,225),cv2.FILLED)
                   
 
        distance = math.hypot(x2-x1,y2-y1)
         
        cv2.line(img,(x1,y1),(x2,y2),(0,0,225),3)
        vol = np.interp(distance,[10,250],[minVol,maxVol])

        per =np.interp(distance,[10,250],[0,100])
        print(per)
        volume.SetMasterVolumeLevel(vol,None) 
            

            

        '''
            if id == 0:
               cv2.circle(img,(cx,cy),15,(225,225,225),cv2.FILLED)
            if id == 4 :
               cv2.circle(img,(cx,cy),15,(225,225,225),cv2.FILLED)   
            if id == 8 :
               cv2.circle(img,(cx,cy),15,(225,225,225),cv2.FILLED) 
            '''

      
        mpDraw.draw_landmarks(img,handlms,mphands.HAND_CONNECTIONS)

   
   
   #print(results)
   cv2.imshow("camera",img)

   if cv2.waitKey(1) & 0xFF == ord('q'):
    break;

cv2.destroyAllWindows()
camera.release()
#added noting changes  
#trial comment