CODEWITHSUNDEEP
pythonnumpypython-imaging-library
sanghmitra
sanghmitra

Reputation: 21

converting an Image into numpy array, then save into txt file, then again converting .txt in image

I have three stages: 1. convert an Image into numpy array 2. save that array in a text file 3. convert the array into Image by reading that text file

I tried below code, which is converting image into an array and again reading the same array from the text file

from PIL import Image
import numpy
im = Image.open("a.jpg") # img size (480,910,3)

np_im = numpy.array(im)

with open('test.txt', 'w') as outfile:
    for slice_2d in np_im:
        numpy.savetxt(outfile, slice_2d)

new_data = numpy.loadtxt('test.txt')

new_data=new_data.reshape((480,910,3))

img = Image.fromarray(new_data,'RGB')
img.save('my.bmp')
img.show()

if i compare the array (before saving and after loading from file and reshaping) array looks exactly the same(except dot). ex. 

[[[ 48  58  24]
  [ 48  58  24]
  [ 47  57  23]
... 
and 
[[[ 48.  58.  24.]
  [ 48.  58.  24.]
  [ 47.  57.  23.]
  ...

but the image I'm getting is completely distorted. why so?

Upvotes: 0

Views: 2853

Answers (2)

Gloweye
Gloweye

Reputation: 1408

You might be interested in numpy.savetxt. It sounds a lot like you're trying to build this.

There's also a complementary numpy.loadtxt.

If you feed savetxt a filename ending in .gz, it'll even compress the data. loadtxt understands it just the same.

This will work for arbitrary numpy arrays.

Upvotes: 1

sanghmitra
sanghmitra

Reputation: 21

after some exercise, I got my answer 

img = Image.fromarray(new_data.astype(numpy.uint8),'RGB')

Upvotes: 1

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