FD** - I am a Python newb as well as a stack overflow newb as you can tell. I have edited the question based on comments.
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
Thanks @user2314737. I will attempt to set that flag. @Eric, thanks for your comments as well.
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.
Thank you everyone for help.
Numpy Arrays are mutable, which means that you can change the value of an element in the array after an array has been initialized.
Using OpenCV Libraryimread() function is used to load the image and It also reads the given image (PIL image) in the NumPy array format. Then we need to convert the image color from BGR to RGB. imwrite() is used to save the image in the file.
Check if the array is writable with
>>> img.flags C_CONTIGUOUS : True F_CONTIGUOUS : False OWNDATA : True WRITEABLE : False ALIGNED : True UPDATEIFCOPY : False
If WRITEABLE
is 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()
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