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VolumeHandContolAdv.py
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VolumeHandContolAdv.py
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import cv2
import time
import numpy as np
import HandTrackingModule as htm
import math
from ctypes import cast, POINTER
from comtypes import CLSCTX_ALL
from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume
################################
wCam, hCam = 640, 480
################################
cap = cv2.VideoCapture(0)
cap.set(3, wCam)
cap.set(4, hCam)
pTime = 0
detector = htm.handDetector(detectionCon=0.7, maxHands=1)
devices = AudioUtilities.GetSpeakers()
interface = devices.Activate(
IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
volume = cast(interface, POINTER(IAudioEndpointVolume))
# volume.GetMute()
# volume.GetMasterVolumeLevel()
volRange = volume.GetVolumeRange()
minVol = volRange[0]
maxVol = volRange[1]
vol = 0
volBar = 400
volPer = 0
area = 0
colorVol = (255, 0, 0)
while True:
success, img = cap.read()
# Find hands
img = detector.findHands(img)
lmList, bbox = detector.findPosition(img, draw=True)
if len(lmList) != 0:
# Filter based on size
area = (bbox[2] - bbox[0]) * (bbox[3] - bbox[1]) // 100
#print(area)
if 250 < area < 1000:
#print("Yes")
# Find Disteance between index and thumb
length, img, lineInfo = detector.findDistance(4, 8, img)
#print(length)
# Convert volume
volBar = np.interp(length, [50, 200], [400, 150])
volPer = np.interp(length, [50, 200], [0, 100])
# Reduce reselution to make it smoother
smoothness = 10
volPer = smoothness * round(volPer / smoothness)
# Check fingers for up
fingers = detector.fingersUp()
print(fingers)
# if pinky is down set volume
if not fingers[4]:
volume.SetMasterVolumeLevelScalar(volPer / 100, None)
cv2.circle(img, (lineInfo[4], lineInfo[5]), 15, (0, 225, 0), cv2.FILLED)
colorVol = (225, 0 ,0)
else:
colorVol = (0, 255, 0)
# drawings
cv2.rectangle(img, (50, 150), (85, 400), (225, 0, 0), 3)
cv2.rectangle(img, (50, int(volBar)), (85, 400), (225, 0, 0), cv2.FILLED)
cv2.putText(img, f' {int(volPer)} %', (40, 450), cv2.FONT_HERSHEY_COMPLEX, 1, (225, 0, 0), 3)
cVol = int(volume.GetMasterVolumeLevelScalar() * 100)
cv2.putText(img, f'Vol Set: {int(cVol)}', (400, 50), cv2.FONT_HERSHEY_COMPLEX, 1, colorVol, 3)
# Frame rate
cTime = time.time()
fps = 1/(cTime - pTime)
pTime = cTime
cv2.putText(img, f'FPS: {int(fps)}', (40, 50), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 0, 0), 3)
cv2.imshow("image", img)
cv2.waitKey(1)