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import cv2

from cv2 import cvtColor 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 from tables import EnumAtom 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: sucess,img = cap.read() c = cv2.cvtColor imgRGB=(img) results = hands.process(imgRGB) lmList = [] if results.multi_hand_landmarks: for handlandmark in results.multi_handlandmarks: for id , lm in enumerate(handlandmark.landmark): h,w, = img.shape cx,cy = int(lm.xw),int(lm.yh) 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,[20,100],[volMin,volMax])
    print(vol,length)
    volume.SetMasterVolumeLevel(vol, None)
cv2.imshow('Image',img)
if cv2.waitKey(1) & 0xff == ord(' '):
    break

cap.release() cv2.destroyAllWindows()

DevilANANDGupta / Volume_Control_Using_hand

new #3