Example 1: resize imshow opencv python
import cv2
cv2.namedWindow("output", cv2.WINDOW_NORMAL) # Create window with freedom of dimensions
im = cv2.imread("earth.jpg") # Read image
imS = cv2.resize(im, (960, 540)) # Resize image
cv2.imshow("output", imS) # Show image
cv2.waitKey(0) # Display the image infinitely until any keypress
Example 2: cv2.resize()
import cv2
img = cv2.imread('/home/img/python.png', cv2.IMREAD_UNCHANGED)
print('Original Dimensions : ', img.shape)
scale_percent = 60 # percent of original size
width = int(img.shape[1] * scale_percent / 100)
height = int(img.shape[0] * scale_percent / 100)
dim = (width, height)
# resize image
resized = cv2.resize(img, dim, interpolation = cv2.INTER_AREA)
print('Resized Dimensions : ',resized.shape)
cv2.imshow("Resized image", resized)
cv2.waitKey(0)
cv2.destroyAllWindows()
Example 3: cv2 resize
resized_image = cv2.resize(image, (100, 50))
Example 4: python opencv imresize
im = cv2.resize(im, None, fx=1/3, fy=1/3, interpolation=cv2.INTER_AREA)
Example 5: opencv resize image
cv2.resize(src, dsize[, dst[, fx[, fy[, interpolation]]]])
Example 6: cv2 .resie
import cv2
cv2.resize(src, dsize[, dst[, fx[, fy[, interpolation]]]])
src [required] source/input image
dsize [required] desired size for the output image
fx [optional] scale factor along the horizontal axis
fy [optional] scale factor along the vertical axis
interpolation [optional] flag that takes one of the following methods. INTER_NEAREST – a nearest-neighbor
interpolation INTER_LINEAR – a bilinear interpolation (used by default) INTER_AREA – resampling using pixel area
relation. It may be a preferred method for image decimation, as it gives moire’-free results.
But when the image is zoomed,it is similar to the INTER_NEAREST method. INTER_CUBIC – a bicubic interpolation
over 4×4 pixel neighborhood INTER_LANCZOS4 – a Lanczos interpolation over 8×8 pixel neighborhood