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HandGesture.py
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import cv2
import mediapipe as mp
from mediapipe.python.solutions.drawing_utils import draw_landmarks
import math
from ctypes import cast, POINTER
from comtypes import CLSCTX_ALL
from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume
import numpy
devices = AudioUtilities.GetSpeakers()
interface = devices.Activate(
IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
volume = cast(interface, POINTER(IAudioEndpointVolume))
#volume.GetMasterVolumeLevel()
#
cap = cv2.VideoCapture(0)
mpHands = mp.solutions.hands
hands = mpHands.Hands()
mpDraw = mp.solutions.drawing_utils
while True:
success , img =cap.read()
imgRGB = cv2.cvtColor(img , cv2.COLOR_BGR2RGB)
results = hands.process(imgRGB)
#print(results.multi_hand_landmarks)
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)
lmList.append([id ,cx, cy])
mpDraw.draw_landmarks(img , handLms ,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) , 15 ,(255,0,0) , cv2.FILLED )
cv2.circle(img , (x2, y2) , 15 ,(255,0,0) , cv2.FILLED )
cv2.line(img , (x1 , y1) , (x2 , y2) ,(255 , 0 , 255) , 3)
z1 , z2 = (x1+x2)//2 , (y1+y2)//2
length = math.hypot(x2- x1 , y2- y1)
if length<50 :
cv2.circle(img , (z1 ,z2) ,15 , (255 , 255 , 255) ,cv2.FILLED)
#print(length)
#volume.GetMute()
volRange = volume.GetVolumeRange()
minVol = volRange[0]
maxVol = volRange[1]
vol = numpy.interp(length , [50 ,300] , [minVol ,maxVol])
volBar = numpy.interp(length , [50 ,300] , [400 ,150])
volPer = numpy.interp(length , [50 ,300] , [0 ,100])
#length =50 ===> volPer =0
#length = 300 ===>volPer =100
#length = 175 ==> volPer = 50
#print(vol)
#print(int(length) , vol)
#print(minVol ,maxVol)
volume.SetMasterVolumeLevel(vol, None)
cv2.rectangle(img , (50 ,150) , (85 , 400) ,(123,213,122) ,3)
cv2.rectangle(img , (50 , int(volBar)) , (85 ,400) ,(0, 231,23) ,cv2.FILLED)
cv2.putText(img , str(int(volPer)) , (40, 450) ,cv2.FONT_HERSHEY_PLAIN ,4 , (24,34,34) , 3)
cv2.imshow("Image" ,img)
cv2.waitKey(1)
# Length of line ===50, 300
# Range of sound is ===-21, 20
# Range of actual volume === 0,100