Home/ Questions/Q 7559471
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Asked: 2026-05-30T12:38:50+00:00

How to put sequence (raw) data of one image into another which has different

  • 0

How to put sequence (raw) data of one image into another which has different size?
Visual effect expected to be as one of crop method but data should come as raw data

...
sequence = image1.getdata()
size=(int(image1.size[0]/2),int(image1.size[1]/2))
image2 = Image.new(image1.mode, size, "black")
seq_in=[]
for i in xrange(len(sequence)):
      seq_in.append(sequence[i])
seq_out=transform_data(seq_in,size,image1.size)
image2.putdata(seq_out)
...

following 2 variants of transformation give different results but not as would be expected 

transform_data(seq_in,size,size_in):

#seq_t=do_something_with_the_data(seq_in)
seq_t=seq_in

seq_out=[]
#A:
sz=size[0]*size[1]
for i in xrange(sz):
      seq_out.append((seq_t[i]))
# end A
#B:
seq_r = numpy.array(seq_t).reshape(size_in[0],size_in[1],3)

for i in xrange(size[0]):
   for j in xrange(size[1]):
      seq_out.append((seq_r[i][j][0], seq_r[i][j][1], seq_r[i][j][2]))
#end B

return seq_out
Share

Leave an answer

You must login to add an answer.

Need An Account,

1 Answer

  1. Editorial Team

    You made it very hard for us to figure out what you’re trying to do (especially because you already told us the code you’ve included doesn’t work). But this is how I would do a crop:

    from PIL import Image
import numpy as np

size = image1.size
size = [i//2 for i in size]
array1 = np.asarray(image1)
array2 = array1[:size[1], :size[0]]
image2 = Image.fromarray(array2)

    Notice that array1 has shape (y, x, 3) if image1 has size (x, y). If you need to put the values from array2 into an existing image I believe the easiest way is:

    image2.fromstring(array2.tostring())

    Also in your code sequence is already a “sequence” (or it is iterable if you want to be technical) so you don’t need to create a seq_in, but if you really want to have sequence as a list, you can do seq_in = list(sequence)

    I still don’t quite understand the problem you’re having but maybe this example will help clear things up:

    image1 = Image.open("img1.jpg")
array1 = np.asarray(image1)
array2 = np.fft.fftn(array1)
array2_uint = (np.log(np.abs(array2)) * 14).astype('uint8')
image2 = Image.fromarray(array2_uint)
array3 = np.fft.ifftn(array2).astype('uint8')
image3 = Image.fromarray(array3)

    Image1

    image1

    Image2

    image2

    Image3

    image3

    As you can see both array2_uint and array3 get correctly converted to images. Can you try and explain the problem you’re having, maybe update the code in your question to include an example or the wrong output if you’re getting the wrong output.

    • 0