# How to perform cropping on large file dataset using ImageGenerators?

I have a large dataset of RGB images with 220x220x3. I want to crop the region of interest from each of them. For that, I have defined my own function. Im trying to use this with DataImageGenerators but it's only resizing rather than cropping.

def crop(image):

x=0
h=110
print(image.shape)
return image[x:x+h,:,:]

IMAGES_DIR1='/home/imtiaz/Desktop/Medium/Article1/Image_preprocessing/All towns/All'

test_datagen = ImageDataGenerator(rescale = 1./255, preprocessing_function=crop)

test_generator = test_datagen.flow_from_dataframe(
dataframe=df_test,
directory=IMAGES_DIR1,
x_col="Images",
y_col="steer",
target_size=(110, 220),
class_mode='other')



And when I check those images using


from keras.preprocessing.image import array_to_img
array_to_img(x[0])



When I display the image it isn't the cropped one. What am I doing wrong ?