Volume Control With Hand Using Python || How do you controll gestures in Python - Creation Code

Introduction:

Gesture recognition helps computers to understand human body language. This helps to build a more potent link between humans and machines, rather than just the basic text user interface or graphical user interfaces(GUIs). In this project for gesture recognition, the human body's motions are read by a computer camera. The computer then makes use of this data as input to handle applications. The objective of this project is to develop an interface that will capture human hand gestures dynamically and will control the volume level

Code:

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

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