No imread() in 2020's Scipy v1.5.x. How to read image to feed to cpbd.compute() ? #2
Description
I am unable to read an image for cpbd.compute() to process. The example usage in README is broken.
This code:
from scipy import ndimage
input_image = ndimage.imread('/tmp/LIVE_Images_GBlur/img4.bmp', mode='L')
Results in:
AttributeError: module 'scipy.ndimage' has no attribute 'imread'
The docs for Scipy say imread was removed in version 1.2,
"imread is deprecated in SciPy 1.0. 0, and will be removed in 1.2."
https://docs.scipy.org/doc/scipy-1.2.1/reference/generated/scipy.misc.imread.html
I have found a StackOverflow page that recommends using image.io:
https://stackoverflow.com/questions/15345790/scipy-misc-module-has-no-attribute-imread
However, there is no mode="L" parameter, just a format param, which overrides the image format guess from the extension (ie format="JPEG").
import imageio
iio_image = imageio.imread(inputpath)
cpbd_focus1 = cpbd.compute(iio_image)
However, using plain imageio.imread results in cpbd complaining about the input shape, because its in RGB.
ValueError: The parameter image must be a 2-dimensional array
If I convert the image to grayscale, it works.
import cpbd
import cv2
import imageio
iio_image = imageio.imread('testimg.jpg')
grey_iio_image = cv2.cvtColor(iio_image, cv2.COLOR_BGR2GRAY)
cpbd.compute(grey_iio_image)
0.25540727105384264
Please update your README to address this change in modern scipy.
Thank you!!