vgg4thloaddata.py

from keras.preprocessing.image import ImageDataGenerator

train_data_dir = 'face//train//'
validation_data_dir = 'face//validation//'

train_datagen = ImageDataGenerator(
      rescale=1./255,
      rotation_range=20,
      width_shift_range=0.2,
      height_shift_range=0.2,
      horizontal_flip=True,
      fill_mode='nearest')
 
validation_datagen = ImageDataGenerator(rescale=1./255)
 
# Change the batchsize according to your system RAM
train_batchsize = 32
val_batchsize = 32
 
train_generator = train_datagen.flow_from_directory(
        train_data_dir,
        target_size=(img_rows, img_cols),
        batch_size=train_batchsize,
        class_mode='categorical')
 
validation_generator = validation_datagen.flow_from_directory(
        validation_data_dir,
        target_size=(img_rows, img_cols),
        batch_size=val_batchsize,
        class_mode='categorical',
        shuffle=False)