ambilight.py

#!/usr/bin/env python2
#-*- coding:utf8 -*-

import cv2
import numpy as np

# instanciate CAM object
cam = cv2.VideoCapture(0)

# get one image for test processing
_,f = cam.read()

# get total width
l = f.shape[1]

# create mask
bandwidth = int(l*0.05) # 5% of total width
mask_left = np.zeros((f.shape[0],f.shape[1],1), np.uint8)
mask_right = np.zeros((f.shape[0],f.shape[1],1), np.uint8)

for i in mask_left: # toute la hauteur
    for j in xrange(bandwidth):
        i[j] = 1

for i in mask_right: # toute la hauteur
    for j in xrange(bandwidth):
        i[l-j-1] = 1

val_left = cv2.mean(f, mask=mask_left)
val_right = cv2.mean(f, mask=mask_right)

cv2.rectangle(f, (0,0), (bandwidth,f.shape[0]), color=val_left, thickness=-1)
cv2.rectangle(f, (l-bandwidth,0), (l,f.shape[0]), color=val_right, thickness=-1)

cv2.imwrite('test1.png', f)