Resize.py

 
'''
https://www.geeksforgeeks.org/image-resizing-using-opencv-python/?ref=lbp
cv2.INTER_AREA: This is used when we need to shrink an image.
cv2.INTER_CUBIC: This is slow but more efficient.
cv2.INTER_LINEAR: This is primarily used when zooming is required. This is the default interpolation technique in OpenCV.

'''


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

image = cv2.imread( 'images/WestPoint.jpeg')
# image = cv2.imread( '.venv/images/demoImages/known/Bill Barr.jpg')
# Loading the image

half = cv2.resize(image, (0, 0), fx = 0.1, fy = 0.1)
bigger = cv2.resize(image, (1050, 1610))

stretch_near = cv2.resize(image, (780, 540), 
			interpolation = cv2.INTER_LINEAR)


Titles =["Original", "Half", "Bigger", "Interpolation Nearest"]
images =[image, half, bigger, stretch_near]
count = 4

for i in range(count):
	plt.subplot(2, 2, i + 1)
	plt.title(Titles[i])
	plt.imshow(images[i])

plt.show()