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Copy pathADV_VOL_CTRL.py
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Copy pathADV_VOL_CTRL.py
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86 lines (64 loc) · 2.48 KB
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import cv2
import time
import numpy as np
import HandTrackingModule as htm
import math
from pycaw.pycaw import AudioUtilities
#################################
wCam, hCam = 720, 480
#################################
cap = cv2.VideoCapture(0)
cap.set(3, wCam)
cap.set(4, hCam)
pTime = 0
detector = htm.handDetector(detectionCon = 0.7, maxHands = 1)
device = AudioUtilities.GetSpeakers()
volume = device.EndpointVolume
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()
img = detector.findHands(img)
lmList, bbox = detector.findPosition(img, draw=True)
if len(lmList) != 0:
# print(lmList[4], lmList[8])
area = (bbox[2] - bbox[0]) * (bbox[3] - bbox[1])//100
# print(area)
if 300 < area <2000:
# print("Yes")
length, img, lineInfo = detector.findDistance(4,8, img)
print(length)
vol = np.interp(length,[50, 230], [minVol, maxVol])
volBar = np.interp(length,[50, 230], [400, 150])
volPer = np.interp(length,[50, 230], [0, 100])
# clamp percentage and set system volume using scalar API (0.0-1.0)
volPer = max(0, min(volPer, 100))
smoothness = 10
volPer = smoothness * round (volPer/smoothness)
fingers = detector.fingersUp()
# print(fingers)
if not fingers[4]:
volume.SetMasterVolumeLevelScalar(volPer/100, None)
cv2.circle(img, (lineInfo[4], lineInfo[5]), 15, (0, 255, 0), cv2.FILLED)
colorVol = (0, 255, 0)
else:
colorVol = (255, 0, 0)
#Drawing
cv2.rectangle(img, (50, 150), (85, 400), (255, 0, 0), 2)
cv2.rectangle(img, (50, int(volBar)), (85, 400), (255, 0, 0,), cv2.FILLED)
cv2.putText(img, f'{int(volPer)} %', (40, 450), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 0, 0), 2)
cVol = int(volume.GetMasterVolumeLevelScalar()*100)
cv2.putText(img, f'Vol Set: {int(cVol)} %', (380, 50), cv2.FONT_HERSHEY_COMPLEX, 1, colorVol, 2)
#Frame rates
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), 2)
cv2.imshow("Main webcam", img)
cv2.waitKey(1)