In [1]:

    

import cv2
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline


    

In [7]:

    

img = np.ones((100,100,3))


    

In [8]:

    

plt.imshow(img)


    

    
Out[8]:





<matplotlib.image.AxesImage at 0x90b8550>






    

In [11]:

    

_ = cv2.rectangle(img, (0,0), (50,50), (0,0,255), 2)


    

In [12]:

    

plt.imshow(img)


    

    
Out[12]:





<matplotlib.image.AxesImage at 0x1aec7710>






    

In [13]:

    

classifier = cv2.CascadeClassifier('C:\ProgramData\Anaconda3\Lib\site-packages\cv2\data\haarcascade_frontalface_default.xml')


    

In [29]:

    




    

In [30]:

    

w, h, c = img.shape
print(img.shape)


    

    




(2448, 3264, 3)

In [ ]:

    




    

In [21]:

    

# img = cv2.resize((int(w*0.5),int(h*0.5)))


    

    




---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-21-5da8672c27a8> in <module>()
----> 1 img = cv2.resize((int(w*0.5),int(h*0.5)))

TypeError: Required argument 'dsize' (pos 2) not found

In [40]:

    

img.shape


    

    
Out[40]:





(330, 500, 3)

In [37]:

    

img = cv2.imread('e:/pics/test/a1.jpg')
#
# D:\\project\\ml\\deep\\faceai\\faceai\\img\\xingye-1.png

gray =cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face = classifier.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=3, minSize=(32, 32))
for rect in face:
    x,y,w,h = rect
    cv2.rectangle(img, (x,y), (x+h,y+w), (0,255,0),2)


    

In [38]:

    

face


    

    
Out[38]:





array([[124,  65, 180, 180]], dtype=int32)

In [25]:

    




    

In [27]:

    

type(img)


    

    
Out[27]:





numpy.ndarray

In [39]:

    

plt.imshow(img[:,:,::-1])


    

    
Out[39]:





<matplotlib.image.AxesImage at 0x292a72e8>






    

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