FaceDetect.py

# -*- coding: utf-8 -*-
"""
Created on Mon Feb 20 14:02:08 2017

@author: Abhik
"""
import os
import cv2
import numpy as np
from PIL import Image

cascadePath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascadePath)

path='./'
image_paths = [os.path.join(path, f) for f in os.listdir('./')]
for image_path in image_paths:
    predict_image_pil = Image.open(image_path).convert('L')
    predict_image = np.array(predict_image_pil, 'uint8')
    faces = faceCascade.detectMultiScale(
    predict_image,
    scaleFactor = 1.1,
    flags = cv2.CASCADE_SCALE_IMAGE
  )

    for (x, y, w, h) in faces:
        #nbr_predicted, conf = recognizer.predict(predict_image[y: y + h, x: x + w])
        cv2.rectangle(predict_image,(x,y),(x+w,y+h),(255,0,0),2)
        cv2.imshow('img',predict_image)
        cv2.waitKey(100)
cv2.destroyAllWindows()