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Created April 1, 2025 06:22
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IA3 project: opencv-python mediapipe screen-brightness-control numpy
import cv2
import mediapipe as mp
from math import hypot
import screen_brightness_control as sbc
import numpy as np
cap = cv2.VideoCapture(0)
mpHands = mp.solutions.hands
hands = mpHands.Hands()
mpDraw = mp.solutions.drawing_utils
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)
if lmList != []:
x1,y1 = lmList[4][1],lmList[4][2]
x2,y2 = lmList[8][1],lmList[8][2]
cv2.circle(img,(x1,y1),4,(255,0,0),cv2.FILLED)
cv2.circle(img,(x2,y2),4,(255,0,0),cv2.FILLED)
cv2.line(img,(x1,y1),(x2,y2),(255,0,0),3)
length = hypot(x2-x1,y2-y1)
bright = np.interp(length,[15,220],[0,100])
print(bright,length)
sbc.set_brightness(int(bright))
# Hand range 15 - 220
# Brightness range 0 - 100
cv2.imshow('Image',img)
if cv2.waitKey(1) & 0xff==ord('q'):
break
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