snapshot...

modules/deeplearning/esrgan_exp.py

@@ -76,7 +76,7 @@ def preprocess_image(hr_image):
   return tf.expand_dims(hr_image, 0)
 
 
-def run(in_file):
+def run(in_file, out_file):
     # model = hub.load(SAVED_MODEL_PATH)
     t0 = time.time()
     hr_image = get_image(in_file)
@@ -90,4 +90,7 @@ def run(in_file):
     print('inference time: ', (t1-t0))
     fake_image = tf.squeeze(fake_image)
 
-    return fake_image
+    if out_file is not None:
\ No newline at end of file
+        np.save(out_file, fake_image)
+    else:
+        return fake_image