snapshot...

modules/deeplearning/esrgan_exp.py

@@ -65,24 +65,6 @@ def get_image_from_file(in_file):
     return data
 
 
-def get_image(data):
-    shape = data.shape
-    data = data.flatten()
-
-    lo = 0.0
-    hi = 160.0
-
-    data -= lo
-    data /= (hi - lo)
-
-    not_valid = np.isnan(data)
-    data[not_valid] = 0
-
-    data = np.reshape(data, shape)
-
-    return data
-
-
 def preprocess_image(hr_image):
   """ Loads image from path and preprocesses to make it model ready
       Args: