

In [1]:

    
%matplotlib inline 

import numpy as np
from scipy.misc import imread

from plt_utils import * # see https://github.com/bbabenko/plt_utils
from image_utils import *

Load and display images



In [2]:

    
# img = np.array(data.lena()).astype('uint8')
duck_img = imread('ducks.jpg')
synth_img = np.reshape(np.arange(20), (4,5)).astype('float32')



In [3]:

    
imshow(synth_img)



In [4]:

    
imshow(duck_img)

Gaussian blur

The method gblur is a convenience wrapper around cv2.GaussianBlur.



In [5]:

    
imshow(gblur(duck_img, 5))



In [6]:

    
imshow(gblur(duck_img.mean(-1), 5))

RGB Convert

The method rgb_convert is a convenience wrapper around cv2.cvtColor.



In [7]:

    
plt.figure(figsize=(10,10))
imshow(rgb_convert(duck_img, colorspace=COLORSPACE.hsv), split=True)



In [8]:

    
plt.figure(figsize=(10,10))
imshow(rgb_convert(duck_img, colorspace=COLORSPACE.luv), split=True)



In [9]:

    
plt.figure(figsize=(10,10))
imshow(rgb_convert(duck_img, colorspace=COLORSPACE.gray)









    



  File "<ipython-input-9-abdbe4fb3a51>", line 2
    imshow(rgb_convert(duck_img, colorspace=COLORSPACE.gray)
                                                            ^
SyntaxError: invalid syntax

Pad and crop

Convenience wrapper around cv2.copyMakeBorder and a method to crop a patch from an image.



In [ ]:

    
imshow(pad(duck_img, (100,150), (200,350)))



In [10]:

    
imshow(pad(synth_img, (1,2), (2,1)))



In [11]:

    
cropped_duck = crop(duck_img, (-20, -30, 300, 300))
imshow(cropped_duck)



In [12]:

    
cropped_synth = crop(synth_img, (-2, -3, 5, 5))
imshow(cropped_synth)

Gradients



In [13]:

    
# create a circle image
from skimage.draw import circle
img = np.zeros((51, 51), dtype=np.uint8)
rr, cc = circle(25, 25, 20)
img[rr, cc] = 1

mag, orient = gradient(img)
imshow(img)
imshow(mag)
imshow(orient)

Resize

Convenience wrapper around cv2.resize.



In [14]:

    
imshow(resize(duck_img, 2000, 1000))
imshow(resize(duck_img, 50, 100))
imshow(resize(duck_img.transpose(1,0,2), 100, 50))
imshow(resize(duck_img.transpose(1,0,2), 50, 100))
imshow(resize(duck_img, 100, 50, keep_aspect_ratio=False))
imshow(resize(duck_img, 50, 100, keep_aspect_ratio=False))