fix

ppstructure/layout/README.md

 English | [简体中文](README_ch.md)
 
+# Layout analysis
+
 - [1. Introduction](#1-Introduction)
 - [2. Install](#2-Install)
-  - [2.1 Install PaddlePaddle](#21-Install paddlepaddle)
-  - [2.2 Install PaddleDetection](#22-Install paddledetection)
-- [3. Data preparation](#3-Data preparation)
-  - [3.1 English data set](#31-English data set)
-  - [3.2 More datasets](#32-More datasets)
-- [4. Start training](#4-Start training)
+  - [2.1 Install PaddlePaddle](#21-Install-paddlepaddle)
+  - [2.2 Install PaddleDetection](#22-Install-paddledetection)
+- [3. Data preparation](#3-Data-preparation)
+  - [3.1 English data set](#31-English-data-set)
+  - [3.2 More datasets](#32-More-datasets)
+- [4. Start training](#4-Start-training)
   - [4.1 Train](#41-Train)
-  - [4.2 FGD Distillation training](#42-FGD Distillation training)
-- [5. Model evaluation and prediction](#5-Model evaluation and prediction)
-  - [5.1 Indicator evaluation](#51-Indicator evaluation)
-  - [5.2 Test layout analysis results](#52-Test layout analysis results)
-- [6 Model export and inference](#6-Model export and inference)
-  - [6.1 Model export](#61-Model export)
-  - [6.2 Model inference](#62-Model inference)
+  - [4.2 FGD Distillation training](#42-FGD-Distillation-training)
+- [5. Model evaluation and prediction](#5-Model-evaluation-and-prediction)
+  - [5.1 Indicator evaluation](#51-Indicator-evaluation)
+  - [5.2 Test layout analysis results](#52-Test-layout-analysis-results)
+- [6 Model export and inference](#6-Model-export-and-inference)
+  - [6.1 Model export](#61-Model-export)
+  - [6.2 Model inference](#62-Model-inference)
 
-# Layout analysis
 
 ## 1. Introduction
 

ppstructure/layout/README_ch.md

+# 版面分析
+
 - [1. 简介](#1-简介)
 - [2. 安装](#2-安装)
   - [2.1 安装PaddlePaddle](#21-安装paddlepaddle)
@@ -15,8 +17,6 @@
   - [6.1 模型导出](#61-模型导出)
   - [6.2 模型推理](#62-模型推理)
 
-# 版面分析
-
 ## 1. 简介
 
 版面分析指的是对图片形式的文档进行区域划分，定位其中的关键区域，如文字、标题、表格、图片等。版面分析算法基于[PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection)的轻量模型PP-PicoDet进行开发。