Read face color average

gistfile1.txt

import numpy as np 
import cv2 as cv
import math


face_cascade= cv.CascadeClassifier('C:\Program Files\opencv\sources\data\haarcascades\haarcascade_frontalface_default.xml')
#direct path to the haarcascade, which is included in openCV
pic= cv.imread('face.jpg')
#the path to one image that OpenCV will convert to a numpy array
gray= cv.imread('face.jpg,0)
#the same as above, except we only take one channel making it gray


faces=face_cascade.detectMultiScale(gray,1.3,5)
#this is what actually detects faces

x1=faces[0][0]
x2=faces[0][2]
y1=faces[0][1]
y2= faces[0][3]
#x1 and y1 are the x and y components of the top left point on a rectangle around a found face. 
#x2 and y2 are width and height respectively


color= np.mean(pic[x1:x1+x2, y1:y1+y2,:], axis=2)
#take a slice of the numpy array starting at row x1 to x1+x2 and each column starting at y1 to y1 +y2
print(color)