GUESTURE_VOL_CONTROL.py

import cv2
import mediapipe as mp
import numpy as np
import math
from ctypes import cast, POINTER
from comtypes import CLSCTX_ALL
from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume

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))
volRange = volume.GetVolumeRange()  # We can print this out to get the range of the volume we will be just using the first 2-values.
# The above one would be of list format.

minVol = volRange[0]
maxVol = volRange[1]
volp = 0  # Setting a default value of vol in %

while True:

    success, img = cap.read()
    imgRgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    result = hands.process(imgRgb)

    if result.multi_hand_landmarks:
        for handlms in result.multi_hand_landmarks:
            for id, lm in enumerate(handlms.landmark):
                # print(id,lm) Getting the landmarks and id.
                h, w, c = img.shape
                cx, cy = int(lm.x * w), int(lm.y * h)
                # print(id,cx,cy)
                if id == 4 or id == 8:  # Getting the values co-ordinates of 4 and 8 id.
                    lmlist = [cx,
                              cy]  # Converting them to list so that we can get seperate values of x and y coordinates to substitute them.
                    cv2.circle(img, (lmlist[0], lmlist[1]), 15, (0, 0, 0),
                               cv2.FILLED)  # Creating circle around the tips of the finger we are working with.
                    if id == 4:  # Getting seperate values of coordinates od 4th and 8th id.
                        x1 = lmlist[0]
                        y1 = lmlist[1]
                    if id == 8:
                        x2 = lmlist[0]
                        y2 = lmlist[1]
                        length = math.hypot(x2 - x1,
                                            y2 - y1)  # We are using the hypotaneous funciton to get the length of the line  
                        p1, p2 = (x1 + x2) // 2, (y1 + y2) // 2  # We are finding out the mid-point of the line.
                        cv2.circle(img, (p1, p2), 15, (225, 255, 255),
                                   cv2.FILLED)  # Creating a circle around our mid-point
                        cv2.line(img, (x1, y1), (x2, y2), (0, 225, 0),
                                 4)  # Creating a line having points as our tips of our finger.
                        # print(length) getting the idea of max and min length
                        # Hand Range 50 - 300
                        # vol Range 65 -0

                        vol = np.interp(length, [50, 290], [minVol,
                                                            maxVol])  # Using the numpy library to convert the values of our range equal to that of vol 
                        # print(int(length) , vol)
                        volume.SetMasterVolumeLevel(vol,
                                                    None)  # Substitutung the range of values obtained from above in this function
                        if length < 30:  # Creating a colour changer to act as button when our tips gets close to each other.
                            cv2.circle(img, (p1, p2), 15, (225, 0, 0), cv2.FILLED)
                        volp = np.interp(length, [50, 290], [0,
                                                             100])  # Creating range similar to that of we did above to put over the image.
                        cv2.putText(img, f'{int(volp)}%', (40, 400), cv2.FONT_HERSHEY_COMPLEX, 1,
                                    (0, 225, 225, 3))  # We are using int() to get whole values.
                        mpdraw.draw_landmarks(img, handlms, mphands.HAND_CONNECTIONS)

    cv2.imshow('VID', img)
    cv2.waitKey(1)