arrays obtained from Image.open with np.asarray being immutable - "assignment destination is read-only"

My goal is to read a set of PNG files, create Image(s) with Image.open('filename') and convert them to simple 2D arrays with only 1s and 0s. The PNG is of the format RGBA with mostly only 255 and 0 as values. Quite often in the images, the edges are grey scale values, which I would like to avoid in the 2D array.

I created the 2D array from image using np.asarray(Image) getting only the 'Red' channel. In each of the 2d image array, I would like to set the cell value = 1 if the current value is non zero.

So, I loop into the 2d array and I check the cell value and try to set it to 1.

It gives me an error indicating that the array is read-only. I read through several stack overflow threads discussing that np arrays are immutable and it is a still bit unclear. I use PIL and numpy.

from PIL import Image import numpy as np 

The relevant code:

prArray = [np.asarray(img)[:, :, 0] for img in problem_images] for img in prArray: for x in range(184): for y in range(184): if img[x][y] != 0: img[x][y] = 1 

The error "assignment destination is read-only" is in the last line.

6 Answers

Check if the array is writable with

>>> img.flags C_CONTIGUOUS : True F_CONTIGUOUS : False OWNDATA : True WRITEABLE : False ALIGNED : True UPDATEIFCOPY : False 

If WRITEABLEis false, change it with

img.setflags(write=1) 

Since numpy version 1.16.0 the following doesn't work anymore:

img = np.asarray(Image.open(filename)) img.setflags(write=1) 

The problem is that now OWNDATA is set to False and you can't set WRITEABLE flag to True. Therefore you should simply do the following:

img = np.array(Image.open(filename)) 

This will make a copy of array when casting it from Pillow object to numpy array. However I tested time performance in numpy 1.16.0 and haven't found any noticable difference between both methods.

In this case, I think you are trying to edit the image provided to you by another user and he/she made it uneditable that's why you are getting this error. For your case, you may try to make a copy of the given file and do changes on that file by using .copy().

img_copy = img.copy() prArray = [np.asarray(img_copy)[:, :, 0] for img_copy in problem_images] 

And more importantly, I do not think that most of us want to make changes to our original image, that's why I always use .copy() and recommend you to do the same.

ValueError: cannot set WRITEABLE flag to True of this array array.setflags(write=1) 

Skip the statement using copy the array using np.copy()

I recommend that you stop doing math on the original image. You can solve this problem by using img.copy()

img = plt.imread('../img/1.2.jpg') img=img.copy() 

I think you don't need to downgrade your numpy version. You have just to make a copy of the original image like this :

img_copy = np.copy(img) 

and it works !