Video to Anime

from keras.layers import Input, Conv2D, Conv2DTranspose, MaxPooling2D, concatenate, Dropout,BatchNormalization
from keras.optimizers import Adam
from keras.losses import binary_crossentropy
from keras.models import Model

def Unet(img_height, img_width):
    # Build U-Net model
    input_img = Input((img_height, img_width, 3), name='img')
    input_features = Input((img_height, img_width, 1), name='feat')

    c1 = Conv2D(8, (3, 3), activation='relu', padding='same') (input_img)
    c1 = Conv2D(8, (3, 3), activation='relu', padding='same') (c1)
    p1 = MaxPooling2D((2, 2)) (c1)

    c2 = Conv2D(16, (3, 3), activation='relu', padding='same') (p1)
    c2 = Conv2D(16