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I have a NumPy array called FLAIR_X with 583 images. Each image can be extracted by using the index (e.g., plt.imshow(FLAIR_X[0])). Currently, the shape of the array is (583,), but sklearn needs an array of size (583, 224, 224) ((224,224)being the size of a single image). This will also make it easier to work with. I tried doing :

temp = FLAIR_X.reshape(583, 224, 224)

But I got the error:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-108-4bb1899edbd8> in <module>
----> 1 temp = FLAIR_X.reshape(583, 224, 224)

ValueError: cannot reshape array of size 583 into shape (583,224,224)

How can I reshape this array, so that is meets the requirements?

P.S: Just an extra question, will I be able to display images like earlier (plt.imshow(FLAIR_X[0])) after I reshape the data?

Thanks,

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  • What is the type of your image? Commented Aug 8, 2021 at 18:54
  • It is a NumPy array with shape (224, 224). Commented Aug 8, 2021 at 18:55

1 Answer 1

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Have you tried simply calling:

res = np.array(FLAIR_X)

If that does not help, try:

l = FLAIR_X.tolist()
res = np.array(l)

If that does not help either, I don't believe your elements are numpy arrays.

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