Why does matplotlib imshow() display a transposed image?

Question

I have an matrix of images created in matlab which i will be using as an input to a convolutional neural network i am coding in theano. I've imported the matrix using numpy.loadtxt and on inspection the matrix appears identical to the one created in matlab. When using imshow() in matlab i get the images displayed corrected, however, when using matplotlib imshow() the images are transposed. Does anyone know the cause of this?

Code for matlab:

    img = dlmread('kthImagesCheck.txt');
    imshow(reshape(img(:,1), [104,104]))

Code for matplotlib:

    img = numpy.loadtxt("kthImagesCheck", delimiter = ",")
    imshow(reshape(img[:,0],[104,104])

I would post the images but im new to stackoverflow and i don't have enough reputation yet.

Cheers,

You can post the links to images, a person with higher reputation will be able to insert them as images. Thanks. — Gábor Bakos
– Gábor Bakos, Commented May 6, 2015 at 10:55

Shai · Accepted Answer · 2015-05-06 11:01:13Z

1

Matlab and python has a different way to store arrays in memory. Matlab saves an array column-first, while python uses row-first method.
Consider, for example, a 2-by-2 matrix

M = [1, 2
     3, 4]

In memory, matlab save the matrix as [1 3 2 4] while python's order is [1 2 3 4]. This effect causes your image to be transposed.

Consider transposing the images in Matlab prior to saving them - this way the data is stored in memory in the same order as in python.

answered May 6, 2015 at 11:01

Shai

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Austin Kunch · Accepted Answer · 2022-09-20 19:36:04Z

0

You can specify shape of a numpy array with 2D array notation such as

1D_array = np.array(list)[:, None]

for vertical or

1D_array = np.array(list)[None, :]

for horizontal. or you can use np.transpose()

answered Sep 20, 2022 at 19:36

Austin Kunch

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