format doc

doc/doc_ch/FAQ.md

@@ -43,7 +43,7 @@ PaddleOCR已完成Windows和Mac系统适配，运行时注意两点：1、在[
     其中，公开数据集都是开源的，用户可自行搜索下载，也可参考[中文数据集](./datasets.md)，合成数据暂不开源，用户可使用开源合成工具自行合成，可参考的合成工具包括[text_renderer](https://github.com/Sanster/text_renderer)、[SynthText](https://github.com/ankush-me/SynthText)、[TextRecognitionDataGenerator](https://github.com/Belval/TextRecognitionDataGenerator)等。
 
 10. **使用带TPS的识别模型预测报错**  
-报错信息：Input(X) dims[3] and Input(Grid) dims[2] should be equal, but received X dimension[3](320) != Grid dimension[2](100)  
+报错信息：Input(X) dims[3] and Input(Grid) dims[2] should be equal, but received X dimension[3]\(320) != Grid dimension[2]\(100)  
 原因：TPS模块暂时无法支持变长的输入，请设置 --rec_image_shape='3,32,100' --rec_char_type='en' 固定输入shape
 
 11. **自定义字典训练的模型，识别结果出现字典里没出现的字**  

doc/doc_en/FAQ_en.md

@@ -45,7 +45,7 @@ At present, the open source model, dataset and magnitude are as follows:
     Among them, the public datasets are opensourced, users can search and download by themselves, or refer to [Chinese data set](./datasets_en.md), synthetic data is not opensourced, users can use open-source synthesis tools to synthesize data themselves. Current available synthesis tools include [text_renderer](https://github.com/Sanster/text_renderer), [SynthText](https://github.com/ankush-me/SynthText), [TextRecognitionDataGenerator](https://github.com/Belval/TextRecognitionDataGenerator), etc.
 
 10. **Error in using the model with TPS module for prediction**  
-Error message: Input(X) dims[3] and Input(Grid) dims[2] should be equal, but received X dimension[3](108) != Grid dimension[2](100)  
+Error message: Input(X) dims[3] and Input(Grid) dims[2] should be equal, but received X dimension[3]\(108) != Grid dimension[2]\(100)  
 Solution：TPS does not support variable shape. Please set --rec_image_shape='3,32,100' and --rec_char_type='en'
 
 11. **Custom dictionary used during training, the recognition results show that words do not appear in the dictionary**