SwapPrev.py

import cv2
import mediapipe
import numpy as np
import HandTrackingModule as ht
import math
from ctypes import cast, POINTER
from comtypes import CLSCTX_ALL
from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume
import pyautogui as pa
import keyboard
from pynput.keyboard import Key, Controller

keyboard = Controller()
cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)
cap.set(3, 1900)
cap.set(4, 1950)
# 3 and 4 are for setting the Width and height of the camera window respectively

detector = ht.HandDetector()
# Object for the HandTrackingModule we created


# devices = AudioUtilities.GetSpeakers()
# interface = devices.Activate(
#     IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
# volume = cast(interface, POINTER(IAudioEndpointVolume))
# # Above things are all initialisation

# # volume.GetMute()
# # We do not need this statement

# # volume.GetMasterVolumeLevel()
# volRange = volume.GetVolumeRange()
# '''We see that the minimum range is -65 and the maximum is 0'''
# # volume.SetMasterVolumeLevel(-20.0, None)
# # When it is set to -20 then our volume is 26 and when it is 0 then it actually our volume is 100

# '''volume.GetVolumeRange() will give the value in the form of a tuple with the minimum value , maximum value and another parameter'''
# minVol = volRange[0]
# maxVol = volRange[1]

while (True):
    _, img = cap.read()
    img = cv2.flip(img, 1)
    # Lateral shift

    img = detector.findHands(img)
    # Sending to the method created in the HandTrackingModule

    idList = detector.findPosition(img, False)
    if (len(idList) != 0):
        x1, y1 = idList[4][1], idList[4][2]
        # Finding the x and y coordinate for the index fingure

        x2, y2 = idList[8][1], idList[8][2]
        # Same as the above but this is for the thumb

        x3, y3 = idList[12][1], idList[12][2]

        x6, y6 = idList[12][1], idList[12][2]

        x4, y4 = idList[16][1], idList[16][2]

        x5, y5 = idList[20][1], idList[20][2]

        cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED)
        cv2.circle(img, (x2, y2), 15, (255, 0, 255), cv2.FILLED)
        cv2.circle(img, (x3, y3), 15, (255, 0, 255), cv2.FILLED)
        cv2.circle(img, (x4, y4), 15, (255, 0, 255), cv2.FILLED)
        cv2.circle(img, (x5, y5), 15, (255, 0, 255), cv2.FILLED)

        cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), 3)
        cv2.line(img, (x2, y2), (x3, y3), (255, 0, 255), 3)
        cv2.line(img, (x3, y3), (x4, y4), (255, 0, 255), 3)
        cv2.line(img, (x4, y4), (x5, y5), (255, 0, 255), 3)

        # Now we will calculate the length on the basis of which the volume will be generated
        length = math.hypot(x6 -  256, y6 - 249)
       

        print(length)
        if(length > 750):
            # with pa.hold('shift'):
            keyboard.press(Key.media_previous)
        # #  Now hereafter for the volume functions we have to take in a library
        # '''Here we see the maximum length coming to be almost 400 and the minimum length to be 15'''
        # if length <= 50:
        #     cv2.circle(img, (x3, y3), 15, (0, 255, 0), cv2.FILLED)
        #     # This will turn the middle point to be a kind of button when the

        # '''Converting length to volume range'''
        # # Volume range is from -65 to 0

        # vol = np.interp(length, [50, 400], [minVol, maxVol])
        # # This method will change it proportionately
        # # [50 , 400] are the minimum and the maximum lengths of the line
        # # Corresponding to which the min and the max volumes are given in the list beside

        # print(int(length), vol)
        # volume.SetMasterVolumeLevel(vol, None)

        # volBar = np.interp(length, [50, 400], [400, 150])
        # # Here 400 is minimum because the coordinates are inverted here and origin is in the top left corner of the screen

        # cv2.rectangle(img, (50, 150), (85, 400), (0, 255, 0), 3)
        # # 3 is the synonym for not filling but just the thickness of the outline
        # cv2.rectangle(img, (50, int(volBar)), (85, 400), (0, 255, 0), cv2.FILLED)

        # volPercent = np.interp(length, [50, 400], [0, 100])
        # cv2.putText(img, f'{int(volPercent)} %', (40, 100), cv2.FONT_HERSHEY_SCRIPT_COMPLEX, 1, (255, 0, 0), 3)

    cv2.imshow("Result", img)
    cv2.waitKey(1)