diff --git a/doc/doc_en/style_text_rec_en.md b/StyleTextRec/README.md
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index 7e7d29c93606032fd39ab686af232cec395bac9c..36db8d44527c660bb0fcf985555896ae272babff 100644
--- a/doc/doc_en/style_text_rec_en.md
+++ b/StyleTextRec/README.md
@@ -7,7 +7,7 @@ The following figure shows some example results. In addition, the actual `namepl
#### Preparation
-1. Please refer the [QUICK INSTALLATION](./installation_en.md) to install PaddlePaddle. Python3 environment is strongly recommended.
+1. Please refer the [QUICK INSTALLATION](../doc/doc_en/installation_en.md) to install PaddlePaddle. Python3 environment is strongly recommended.
2. Download the pretrained models and unzip:
```bash
diff --git a/doc/doc_ch/style_text_rec.md b/StyleTextRec/README_ch.md
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index 3a6d8b8bc020b3af84140bb07b6bcc4e6e7c5de3..052811a0b2a2a140cbe8161256b163a55c9caee0 100644
--- a/doc/doc_ch/style_text_rec.md
+++ b/StyleTextRec/README_ch.md
@@ -9,21 +9,21 @@
### 工具简介
-
+
Style-Text是对百度自研文本编辑算法《Editing Text in the Wild》中提出的SRNet网络的改进,不同于常用的GAN的方法只选择一个分支,该工具将文本合成任务分解为三个子模块,文本风格迁移模块、背景抽取模块和前背景融合模块,来提升合成数据的效果。下图显示了一些示例结果。
此外,在实际铭牌文本识别场景和韩语文本识别场景,验证了该合成工具的有效性。
### 环境配置
-1. 参考[快速安装](./installation.md),安装PaddleOCR。强烈建议您使用python3环境。
+1. 参考[快速安装](../doc/doc_ch/installation.md),安装PaddleOCR。强烈建议您使用python3环境。
2. 进入`style_text_rec`目录,下载模型,并解压:
```bash
@@ -55,7 +55,7 @@ python3 -m tools.synth_image -c configs/config.yml
1. 运行后,会生成`fake_busion.jpg`,即为最终结果。
-
+
除此之外,程序还会生成并保存中间结果:
* `fake_bg.jpg`:为风格参考图去掉文字后的背景;
diff --git a/style_text_rec/__init__.py b/StyleTextRec/__init__.py
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diff --git a/style_text_rec/arch/__init__.py b/StyleTextRec/arch/__init__.py
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diff --git a/style_text_rec/arch/decoder.py b/StyleTextRec/arch/decoder.py
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diff --git a/style_text_rec/arch/encoder.py b/StyleTextRec/arch/encoder.py
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diff --git a/doc/imgs_style_text/1.png b/StyleTextRec/doc/images/1.png
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diff --git a/style_text_rec/engine/__init__.py b/StyleTextRec/engine/__init__.py
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diff --git a/style_text_rec/tools/__init__.py b/StyleTextRec/tools/__init__.py
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