From 9ff6017704c5a68641252401de2613b03af28674 Mon Sep 17 00:00:00 2001
From: hzwer <598460606@163.com>
Date: Fri, 13 Nov 2020 00:06:58 +0800
Subject: [PATCH] Update README.md

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 335780b..609957e 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
 # RIFE
-**We are working on arranging our training code and other scripts. **
+**We are working on arranging our training code and other scripts.**
 
 ## Abstract
 We propose a real-time intermediate flow estimation algorithm (RIFE) for video frame interpolation (VFI). Most existing methods first estimate the bi-directional optical flows, and then linearly combine them to approximate intermediate flows, leading to artifacts around motion boundaries. We design an intermediate flow model named IFNet that can directly estimate the intermediate flows from coarse to fine. We then warp the input frames according to the estimated intermediate flows and employ a fusion process to compute final results. Based on our proposed leakage distillation, RIFE can be trained end-to-end and achieve excellent performance. Experiments demonstrate that RIFE is significantly faster than existing flow-based VFI methods and achieves state-of-the-art index on several benchmarks.
@@ -13,10 +13,10 @@ pip3 install opencv-python
 
 ## Inference and Testing
 * Download the pretrained models from [here](https://drive.google.com/file/d/1c1R7iF-ypN6USo-D2YH_ORtaH3tukSlo/view?usp=sharing)
-* Unzip and move pretrained models to train_log/\*.pkl
+* Unzip and move the pretrained parameters to train_log/\*.pkl
 
 ## Usage
 ```
 $ python3 inference.py --img /path/to/image_0 /path/to/image_1
-// You will get an out.png  
+// You will get an out.png. 
 ```