From faed054baf0fc3a6e65d023ab03f963352ae4d22 Mon Sep 17 00:00:00 2001
From: rajeevyasarla <rajeevyasarla19@gmail.com>
Date: Sat, 3 Aug 2019 11:24:29 -0400
Subject: [PATCH] UMSN Files

---
 README.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/README.md b/README.md
index a759036..4e3e0b7 100644
--- a/README.md
+++ b/README.md
@@ -26,7 +26,6 @@ We propose a novel multi-stream architecture and training methodology that explo
      - 25000 kernels with size ranging from 13 to 29 are generated and saved as ".mat" file
 2. Clean face images from Helen and CelebA are aligned and used as input to train UMSN 
 3. python train_face_deblur.py --dataroot <path_to_train_data> --valDataroot ./facades/github/ --exp ./face_deblur --batchSize 10
-
-- input should be clean image. blurry images for training are generated by the code it self.
+    - input should be clean image. blurry images for training are generated by the code it self.