In [19]:

    

import cv2
%matplotlib inline
from matplotlib import pyplot as plt
import math


    

In [6]:

    

IMAGE_PATH = './208.jpg'
input_image = cv2.imread(IMAGE_PATH)


    

In [7]:

    

def print_image(image):
    cv_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    plt.imshow(cv_rgb)
    plt.show()
    
print_image(input_image)


    

In [8]:

    

result = cv2.resize(input_image, (200, 200), interpolation = cv2.INTER_AREA)


    

In [10]:

    

print_image(result)


    

In [15]:

    

height, width, channels = input_image.shape


    

In [22]:

    

if height > width:
    result = cv2.resize(input_image, (math.floor(200/height * width), 200), interpolation = cv2.INTER_AREA) 
    padding = 200 - math.floor(200/height * width)
else:
    result = cv2.resize(input_image, (200, math.floor(200/width * height)), interpolation = cv2.INTER_AREA) 
    padding = 200 - math.floor(200/width * height)


    

In [23]:

    

print_image(result)


    

In [31]:

    

top = math.floor(padding/2)
bottom = padding - top
final_result = cv2.copyMakeBorder(result,top,bottom,0,0,cv2.BORDER_CONSTANT,value=[0,0,0])
print_image(final_result)


    

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