Reputation: 65
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
Upvotes: 2
Views: 1476
Reputation: 1
You can solve by saving image from keras again.
from tensorflow import keras
path = "file_path"
img = keras.preprocessing.image.load_img( path )
img = ndimage.rotate( img , 270 ) #rotate 270 degree
keras.preprocessing.image.save_img( path , img )
Upvotes: 0
Reputation: 207758
Use:
jhead -v YourImage.jpg
to check the EXIF parameter called Orientation
- phone cameras set it so that images can be rotated. Try it for one image that works and another image that is "unhappy".
You can correct it with ImageMagick:
convert unhappy.jpg -auto-orient happy.jpg
Or maybe more easily with exiftool
. Discussion and example here.
Upvotes: 2