update text_renderer url

doc/doc_ch/FAQ.md

@@ -40,7 +40,7 @@ PaddleOCR已完成Windows和Mac系统适配，运行时注意两点：1、在[
     英文数据集，MJSynth和SynthText合成数据，数据量上千万。  
     中文数据集，LSVT街景数据集根据真值将图crop出来，并进行位置校准，总共30w张图像。此外基于LSVT的语料，合成数据500w。  
 
-    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。
+    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/oh-my-ocr/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)  

doc/doc_ch/data_synthesis.md

 ## 数据合成工具
 除了开源数据，用户还可使用合成工具自行合成。这里整理了常用的数据合成工具，持续更新中，欢迎各位小伙伴贡献工具～
-- [text_renderer](https://github.com/Sanster/text_renderer)
+- [text_renderer](https://github.com/oh-my-ocr/text_renderer)
 - [SynthText](https://github.com/ankush-me/SynthText)
 - [SynthText_Chinese_version](https://github.com/JarveeLee/SynthText_Chinese_version)
 - [TextRecognitionDataGenerator](https://github.com/Belval/TextRecognitionDataGenerator)

doc/doc_en/FAQ_en.md

@@ -42,7 +42,7 @@ At present, the open source model, dataset and magnitude are as follows:
     English dataset: MJSynth and SynthText synthetic dataset, the amount of data is tens of millions.  
     Chinese dataset: LSVT street view dataset with cropped text area, a total of 30w images. In addition, the synthesized data based on LSVT corpus is 500w.
 
-    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.
+    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/oh-my-ocr/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)  

doc/doc_en/data_synthesis_en.md

@@ -3,7 +3,7 @@
 In addition to open source data, users can also use synthesis tools to synthesize data.
 There are the commonly used data synthesis tools, which will be continuously updated. Welcome to contribute tools~
 
-*  [Text_renderer](https://github.com/Sanster/text_renderer)
+*  [Text_renderer](https://github.com/oh-my-ocr/text_renderer)
 * [SynthText](https://github.com/ankush-me/SynthText)
 * [SynthText_Chinese_version](https://github.com/JarveeLee/SynthText_Chinese_version)
 * [TextRecognitionDataGenerator](https://github.com/Belval/TextRecognitionDataGenerator)

doc/doc_en/datasets_en.md

@@ -6,7 +6,7 @@ This is a collection of commonly used Chinese datasets, which is being updated c
 - [Chinese Document Text Recognition](#中文文档文字识别)
 - [ICDAR2019-ArT](#ICDAR2019-ArT)
 
-In addition to opensource data, users can also use 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.
+In addition to opensource data, users can also use synthesis tools to synthesize data themselves. Current available synthesis tools include [text_renderer](https://github.com/oh-my-ocr/text_renderer), [SynthText](https://github.com/ankush-me/SynthText), [TextRecognitionDataGenerator](https://github.com/Belval/TextRecognitionDataGenerator), etc.
 
 <a name="ICDAR2019-LSVT"></a>
 #### 1. ICDAR2019-LSVT