face_images_preprocessing.py

import cv2
import os

dim1,dim2 = 28,28

founders=['Jeff Bezos','Larry Page','Bill Gates']

for founder in founders:

    #prefix=r'.\data\google\{}'.format(founder)
    prefix=r'.\data\bing\{}'.format(founder)
    folder=prefix+'\\faces_{}x{}'.format(str(dim1),str(dim2))
    os.makedirs(folder,exist_ok=True)

    image_list=[os.path.join(prefix, partial) for partial in os.listdir(prefix)]

    count=0
    for i in range(len(image_list[:-1])-1):
        image = cv2.imread(image_list[i])
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
        faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
        faces = faceCascade.detectMultiScale(
                gray,
                scaleFactor=1.1,
                minNeighbors=4,
                minSize=(100, 100)
        ) 
        for (x, y, w, h) in faces:
            crop_img = gray[y:y+h, x:x+w]
            resized_img=cv2.resize(crop_img,(dim1,dim2))
            path=folder+"\\{}_{}.jpg".format(founder.replace(" ","_"),count)
            cv2.imwrite(path, resized_img)
            count+=1