In [27]:

    

from PIL import Image
import face_recognition
import matplotlib.pyplot as plt
import cv2
import numpy as np
%matplotlib inline


    

In [2]:

    

image = face_recognition.load_image_file('biden.jpg')


    

In [3]:

    

type(image)


    

    
Out[3]:





numpy.ndarray

In [4]:

    

face_locations = face_recognition.face_locations(image)


    

In [5]:

    

len(face_locations)


    

    
Out[5]:





1

In [7]:

    

plt.imshow(image)


    

    
Out[7]:





<matplotlib.image.AxesImage at 0xf545240>






    

In [21]:

    

cv2.rectangle?


    

In [63]:

    

img = np.ones((750, 970, 3), dtype=np.uint8)
top, right, bottom, left = (243, 740, 562, 419)
cv2.rectangle(img, (left, top), (right,bottom), (0, 255, 0), 2)
# cv2.rectangle(img, (200, 500), (600, 750), (0, 255, 0), 5)

plt.imshow(img)
img = Image.fromarray(img)
img.save('test.jpg')


    

In [59]:

    

# Create a black image
img = np.zeros((512,512,3), np.uint8)

# Draw a diagonal blue line with thickness of 5 px
cv2.line(img,(0,0),(511,511),(255,0,0),5)
cv2.rectangle(img,(384,0),(510,128),(0,255,0),3)
cv2.circle(img,(447,63), 63, (0,0,255), -1)
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(img,'OpenCV',(10,500), font, 4,(255,255,255),2,cv2.LINE_AA)
plt.imshow(img)


    

    
Out[59]:





<matplotlib.image.AxesImage at 0x108ae0b8>






    

In [34]:

    

image = face_recognition.load_image_file('biden.jpg')
print('image shape', image.shape)
for face_location in face_locations:
    top, right, bottom, left = face_location
    print(face_location)
    face_image = image[top:bottom, left:right]
    f = plt.figure()
    plt.imshow(face_image)
    cv2.rectangle(image, (left, top), (right, bottom), (0, 0, 255), 5)
#     cv2.rectangle(image, (top,left), (bottom, right), (0, 0, 255), 5)
# (x,y), (x+w, y+h)
    f = plt.figure()
    plt.imshow(image)


    

    




image shape (2204, 970, 3)
(241, 740, 562, 419)






    













    

In [26]:

    

biden_face_encoding = face_recognition.face_encodings(image)[0]


    

In [11]:

    

biden_face_encoding.shape


    

    
Out[11]:





(128,)

In [12]:

    

obama_image = face_recognition.load_image_file("obama.jpg")
obama_face_encoding = face_recognition.face_encodings(obama_image)[0]
print(obama_face_encoding.shape)


    

    




(128,)

In [14]:

    

face_recognition.compare_faces([biden_face_encoding], obama_face_encoding)


    

    
Out[14]:





[False]

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