From 71e343441e8b6277b947afda0f8a28939aa83161 Mon Sep 17 00:00:00 2001
From: shiyu22 <shiyu.chen@zilliz.com>
Date: Thu, 9 Dec 2021 20:11:32 +0800
Subject: [PATCH] Update

Signed-off-by: shiyu22 <shiyu.chen@zilliz.com>
---
 README.md | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 40d67f1..2a93c5d 100644
--- a/README.md
+++ b/README.md
@@ -32,15 +32,13 @@ In computer vision (CV) directions, image transformations are usually an indispe
 
 ​		The tensor of the transformed image.
 
-## How to use
-
-### Requirements
+## Requirements
 
 You can get the required python package by [requirements.txt](./requirements.txt). 
 
 - pillow
 
-### How it works
+## How it works
 
 The `towhee/transform-image` Operator is used for image transformation and is an important part of data preprocessing. It can be added to the pipeline and is usually used as the first custom operator of the pipeline. For example, it's the first Operator named processing within [image_embedding_resnet50](https://hub.towhee.io/towhee/image-embedding-resnet50) pipeline, and it is the red box in the picture below.