OpenCV part - 07 |Opencv Image Resizing with downscale and upscale with example| MUST WATCH |
OpenCV part - 07 |Opencv Image Resizing with downscale and upscale with example| MUST WATCH |
CODE:
#Choice of Interpolation Method for Resizing:
#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
image = cv2.imread('pexels-photo-221284.webp')
cv2.imshow('Original Image', image)
cv2.waitKey()
downscale the image
down_width = 300
down_height = 200
down_points = (down_width, down_height)
new = cv2.resize(image, down_points, interpolation= cv2.INTER_LINEAR)
upscale the image
up_width = 1000
up_height = 800
up_points = (up_width, up_height)
new1 = cv2.resize(image, up_points, interpolation= cv2.INTER_LINEAR)
cv2.imshow('Resized Down', new)
cv2.waitKey()
cv2.imshow('Resized Up',new1)
cv2.waitKey()
cv2.destroyAllWindows()
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