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inst2.py
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72 lines (56 loc) · 2.58 KB
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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
import
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))
volbar = 400
volper = 0
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)
# Check if it's the left hand (assuming index 0 is the left hand)
if handlandmark.landmark[0].x < handlandmark.landmark[17].x:
x1, y1 = lmList[4][1], lmList[4][2]
x2, y2 = lmList[8][1], lmList[8][2]
cv2.circle(img, (x1, y1), 13, (255, 0, 0), cv2.FILLED)
cv2.circle(img, (x2, y2), 13, (255, 0, 0), cv2.FILLED)
cv2.line(img, (x1, y1), (x2, y2), (255, 0, 0), 3)
length = hypot(x2 - x1, y2 - y1)
# Adjust interpolation range for accurate volume control
vol = np.interp(length, [30, 200], [volMin, volMax])
volbar = np.interp(length, [30, 200], [400, 150])
volper = np.interp(length, [30, 200], [0, 100])
# Print volume and hand length for debugging
print(f"Volume: {vol}, Hand Length: {int(length)}")
# Set volume only if it's less than 100% to avoid issues
if vol < volMax:
volume.SetMasterVolumeLevel(vol, None)
cv2.rectangle(img, (50, 150), (85, 400), (0, 0, 255), 4)
cv2.rectangle(img, (50, int(volbar)), (85, 400), (0, 0, 255), cv2.FILLED)
cv2.putText(img, f"{int(volper)}%", (10, 40), cv2.FONT_ITALIC, 1, (0, 255, 98), 3)
cv2.imshow('Image', img)
key = cv2.waitKey(1) & 0xFF
if key == ord('q'):
break
cap.release()
cv2.destroyAllWindows()