import cv2
import numpy as np
import os
dirname = os.path.dirname(__file__)
#filename = os.path.join(dirname, 'haarcascade_frontalface_default.xml')
filename = os.path.join(dirname, 'haarcascade_frontalface_default.xml')

def conv_gris(img):
    """conversion image grise"""
    img_gris=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    return img_gris

def hog(img):
    img_gris = conv_gris(img)
    face_cascade = cv2.CascadeClassifier(filename)
    faces = face_cascade.detectMultiScale(img_gris, 1.2, 1)
    return faces

def haar_cascade(img):
    faces = hog(img)
    for (x, y, w, h) in faces:
        cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
    return img
    

if __name__ == "__main__" :
    url = "./Data/Abbi.jpg" 
    Img = cv2.imread(url, 1) 
    img = haar_cascade(Img)
    cv2.imshow('image_test', img)
    cv2.waitKey()
    cv2.destroyWindow()