75_image_processing_keras.py

# load image with keras
from keras.preprocessing.image import load_img

img = load_img("bondi_beach.jpg")

# report details about the image
print(type(img))
print(img.format)
print(img.mode)
print(img.size)
# show the image
img.show()


# example of converting an image with the Keras API
from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
from keras.preprocessing.image import array_to_img
# load the image
img = load_img('bondi_beach.jpg')
print(type(img))
# convert to numpy array
img_array = img_to_array(img)
print(img_array.dtype)
print(img_array.shape)
# convert back to image
img_pil = array_to_img(img_array)
print(type(img))


# example of saving an image with the Keras API
from keras.preprocessing.image import load_img
from keras.preprocessing.image import save_img
from keras.preprocessing.image import img_to_array
# load image as as grayscale
img = load_img('bondi_beach.jpg', grayscale=True)
# convert image to a numpy array
img_array = img_to_array(img)
# save the image with a new filename
save_img('bondi_beach_grayscale.jpg', img_array)
# load the image to confirm it was saved correctly
img = load_img('bondi_beach_grayscale.jpg')
print(type(img))
print(img.format)
print(img.mode)
print(img.size)
img.show()