app.py

app.py

@@ -2,8 +2,6 @@ import os
 import random
 import numpy as np
 import tensorflow as tf
-
-from glob import glob
 from PIL import Image
 
 import gradio as gr
@@ -69,13 +67,6 @@ input = [gr.inputs.Image(type="filepath", label="Ground Truth - Real Image (jpg)
          gr.inputs.Image(type="filepath", label="Segementated image (png)"),
          gr.inputs.Image(type="filepath", label="corresponding bitmap image (bmp)")]
 
-#facades_data = []
-#data_dir = 'examples/'
-#for idx, images in enumerate(os.listdir(data_dir)):
-#  image = os.path.join(data_dir, images)
-#  if os.path.isfile(image) and idx < 6:
-#    facades_data.append(image)
-
 examples = [["facades_data/cmp_b0010.jpg", "facades_data/cmp_b0010.png", "facades_data/cmp_b0010.bmp"],
             ["facades_data/cmp_b0020.jpg", "facades_data/cmp_b0020.png", "facades_data/cmp_b0020.bmp"],
             ["facades_data/cmp_b0030.jpg", "facades_data/cmp_b0030.png", "facades_data/cmp_b0030.bmp"],