In this article, we share the example of opencv to achieve the effect of image scaling specific code for your reference, the details are as follows
Image Zoom:
Image scaling i.e. resizing the image, i.e. zooming in or out
(src,dsize,fx=0,fy=0,interpolation=cv2.INTER_LINEAR)
Parameters:
Implementation Code:
import cv2 as cv
import as plt
# Chinese display configuration
['-serif']=['SimHei'] # Used to display Chinese labels properly
['axes.unicode_minus']=False # Used to display the negative sign normally
# Load image
img0 = ('img/')
# Image scaling
# Absolute size scaling
rows, cols = [:2]
res0 = (img0,(3*cols,3*rows),interpolation=cv.INTER_CUBIC)
# Relative size scaling, the second parameter should be set to None if relative scaling is used.
res1 = (img0, None, fx = 0.5, fy = 0.5)
# View image size
print()
print()
print()
# Image display
fig, axes = (nrows=1,ncols=3,figsize=(10,8),dpi=100)
axes[0].imshow(res0[:,:,::-1])
axes[0].set_title("Absolute Scale Magnification")
axes[1].imshow(res1[:,:,::-1])
axes[1].set_title("Relative scale reduction")
axes[2].imshow(img0[:,:,::-1])
axes[2].set_title("Original image.")
()
Run results:
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