I just started learning the Keras API and I am experimenting with the MNIST dataset. I got it working correctly but I have a problem with the function load_img() from the keras.preprocessing.image library, when I try to test a picture that I took. It imports a portrait oriented image as a landscape one. I took the photo with my smartphone in portrait mode and Windows correctly shows width 3024 and height 4032 pixels.
When I load that image and print the width and height it shows 4032x3024. Also when I do img.show(), it seems to have been rotated 90 degrees counterclockwise. All that is happening right after loading it, without any processing. I tried looking into the API for the load_img() and couldn't find any arguments that make it rotate while loading.
This is a dummy example to show you the problem:
from keras.preprocessing.image import load_img
img = load_img('filepath/test.jpg') # Load portrait mode image Windows says 3024x4032
width, height = img.size
print(width, height) # Prints 4032 3024
img.show() # Shows it rotated by 90 degrees counterclockwise
I want it to be imported in portrait mode. Why does it get rotated? The problem is that a picture taken in landscape mode is also imported as 4032 x 3024, so I can't differentiate between the 2 orientations. I want to be able to rotate the image if it's in portrait mode but not rotate it if it's in landscape mode.
EDIT: I just tried to load the image with Pillow and the results are exactly the same