OpenCv-face-eye-detection

This program is a modification of the code presented in Implementing Face Detection using Python and OpenCV

Load python libraries

import cv2
import numpy as np
import glob as gl

Load the databases of faces and eyes

facecascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

Read images

txtfiles = [] 
for file in gl.glob("*.jpeg"):
    txtfiles.append(file)

Detect faces and eyes

for ix in txtfiles:
    img = cv2.imread(ix,cv2.IMREAD_COLOR)
    imgColor = img.copy()
    imgTest = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)    
    faces   = facecascade.detectMultiScale(imgTest, scaleFactor=1.2, minNeighbors=5)

    for (x, y, w, h) in faces:
       cv2.rectangle(imgColor, (x, y), (x+w, y+h), (255, 0, 255), 2)
       roi_gray  = imgTest[y:y+h, x:x+w]
       eyes = eye_cascade.detectMultiScale(roi_gray)
       for (ex,ey,ew,eh) in eyes:
           cv2.rectangle(imgColor,(ex+x,ey+y),(ex+ew+x,ey+eh+y),(255,0,255),2)

Display results

cv2.imshow('Imagen',imgColor)
if cv2.waitKey(1000) & 0xFF == 27:
    break