Then I read some jpg file, this way
image = imread('aa.jpg')
As result I get dataframe with numbers from 1 to 255
I can resize it this way:
from cv2 import resize
image = resize(image, (256, 256)
But then I doing same think with png, result not desired.
image = imread('aa2.png') # array with number within 0-1 range
resize(image, (256,256)) # returns 1 channel image
resize(image, (256,256, 3)) # returns 3 channel image
But imshow(image)
cv2.imread
reads the image in 3 channel by default instead of 4. Pass the parameter cv.IMREAD_UNCHANGED
to read your PNG file and then try to resize it as shown in the code below.
import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt
img = cv.imread('Snip20190412_12.png', cv.IMREAD_UNCHANGED)
print(img.shape) #(215, 215, 4)
height, width = img.shape[:2]
res = cv.resize(img,(2*width, 2*height))
print(res.shape)#(430, 430, 4)
plt.imshow(res)