In [1]:

    

import cv2


    

In [2]:

    

img = cv2.imread('data/src/lena_square.png')
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)


    

In [3]:

    

print(type(img), img.shape)
print(type(img_gray), img_gray.shape)


    

    




<class 'numpy.ndarray'> (512, 512, 3)
<class 'numpy.ndarray'> (512, 512)

In [4]:

    

cascade_path = '/usr/local/Cellar/opencv3/3.2.0/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml'
cascade = cv2.CascadeClassifier(cascade_path)


    

In [5]:

    

faces = cascade.detectMultiScale(img_gray)


    

In [6]:

    

print(faces)


    

    




[[215 201 175 175]]

In [7]:

    

for x, y, w, h in faces:
    cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)


    

In [8]:

    

cv2.imwrite('data/dst/lena_square_face.jpg', img)


    

    
Out[8]:





True