update doc

doc/doc_ch/table_recognition.md

@@ -3,7 +3,7 @@
 本文提供了PaddleOCR表格识别模型的全流程指南，包括数据准备、模型训练、调优、评估、预测，各个阶段的详细说明：
 
 - [1. 数据准备](#1-数据准备)
-  - [1.1. 准备数据集](#11-准备数据集)
+  - [1.1. 准备数据集](#11-数据集格式)
   - [1.2. 数据下载](#12-数据下载)
   - [1.3. 数据集生成](#13-数据集生成)
 - [2. 开始训练](#2-开始训练)
@@ -23,7 +23,7 @@
 
 # 1. 数据准备
 
-## 1.1. 准备数据集
+## 1.1. 数据集格式
 
 PaddleOCR 表格识别模型数据集格式如下:
 ```txt
@@ -71,8 +71,8 @@ TableGeneration是一个开源表格数据集生成工具，其通过浏览器
 
 |类型|样例|
 |---|---|
-|简单表格|![](https://github.com/WenmuZhou/TableGeneration/blob/main/imgs/simple.jpg)|
-|彩色表格|![](https://github.com/WenmuZhou/TableGeneration/blob/main/imgs/color.jpg)|
+|简单表格|![](https://raw.githubusercontent.com/WenmuZhou/TableGeneration/main/imgs/simple.jpg)|
+|彩色表格|![](https://raw.githubusercontent.com/WenmuZhou/TableGeneration/main/imgs/color.jpg)|
 
 # 2. 开始训练
 

doc/doc_en/table_recognition_en.md

@@ -5,7 +5,7 @@ This article provides a full-process guide for the PaddleOCR table recognition m
 - [1. Data Preparation](#1-data-preparation)
   - [1.1. DataSet Preparation](#11-dataset-preparation)
   - [1.2. Data Download](#12-data-download)
-  - [1.3. Dataset Generation](#13-dataset-generation)
+  - [1.3. Dataset Generation](#13-dataset-format)
 - [2. Training](#2-training)
   - [2.1. Start Training](#21-start-training)
   - [2.2. Resume Training](#22-resume-training)
@@ -23,7 +23,7 @@ This article provides a full-process guide for the PaddleOCR table recognition m
 
 # 1. Data Preparation
 
-## 1.1. DataSet Preparation
+## 1.1. DataSet Format
 
 The format of the PaddleOCR table recognition model dataset is as follows:
 ```txt
@@ -35,15 +35,15 @@ img_label
 The json format of each line is:
 ```json
 {
-   'filename': PMC5755158_010_01.png,     # image name
-   'split': ’train‘,                                     # whether the image belongs to the training set or the validation set
-   'imgid': 0,                                         # index of image
+   'filename': PMC5755158_010_01.png,# image name
+   'split': ’train‘, # whether the image belongs to the training set or the validation set
+   'imgid': 0,# index of image
    'html': {
-     'structure': {'tokens': ['<thead>', '<tr>', '<td>', ...]},             # HTML string of the table
+     'structure': {'tokens': ['<thead>', '<tr>', '<td>', ...]}, # HTML string of the table
      'cell': [
        {
-         'tokens': ['P', 'a', 'd', 'd', 'l', 'e', 'P', 'a', 'd', 'd', 'l', 'e'],     # text in cell
-         'bbox': [x0, y0, x1, y1]                              # bbox of cell
+         'tokens': ['P', 'a', 'd', 'd', 'l', 'e', 'P', 'a', 'd', 'd', 'l', 'e'], # text in cell
+         'bbox': [x0, y0, x1, y1] # bbox of cell
        }
      ]
    }
@@ -73,8 +73,8 @@ Some samples are as follows:
 
 |Type|Sample|
 |---|---|
-|Simple Table|![](https://github.com/WenmuZhou/TableGeneration/blob/main/imgs/simple.jpg)|
-|Simple Color Table|![](https://github.com/WenmuZhou/TableGeneration/blob/main/imgs/color.jpg)|
+|Simple Table|![](https://raw.githubusercontent.com/WenmuZhou/TableGeneration/main/imgs/simple.jpg)|
+|Simple Color Table|![](https://raw.githubusercontent.com/WenmuZhou/TableGeneration/main/imgs/color.jpg)|
 
 # 2. Training
 

ppstructure/table/README_ch.md

@@ -45,9 +45,13 @@
 ## 3. 效果演示
 
 ![图片](http://agroup.baidu-int.com/file/stream/bj/bj-e50a465becdbde9bffb84a84d41d196ac1acf1b6)
+
 ![图片](http://agroup.baidu-int.com/file/stream/bj/bj-17ea53b181408a35d977c6c26b1ea308b4c27a79)
+
 ![图片](http://agroup.baidu-int.com/file/stream/bj/bj-b905f57beca7115d54b907deac70c10056274858)
+
 ![图片](http://agroup.baidu-int.com/file/stream/bj/bj-894694c9558fe7deb8cc896f9411fdfd252bca72)
+
 ![图片](http://agroup.baidu-int.com/file/stream/bj/bj-03a0a67378b41a353257bd2fe8a1e9a864c89cb5)
 
 ## 4. 使用