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littletomatodonkey 2020-12-15 16:00:00 +00:00
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StyleText/README.md
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@ -1,4 +1,4 @@
## Style Text English | [简体中文](README_ch.md)
### Contents ### Contents
- [1. Introduction](#Introduction) - [1. Introduction](#Introduction)
@ -27,7 +27,7 @@ Different from the commonly used GAN-based data synthesis tools, the main framew
* (2) Background extraction module. * (2) Background extraction module.
* (3) Fusion module. * (3) Fusion module.
After these three steps, you can quickly realize the image text style transfer. The following figure is som results of the data synthesis tool. After these three steps, you can quickly realize the image text style transfer. The following figure is some results of the data synthesis tool.
<div align="center"> <div align="center">
<img src="doc/images/2.png" width="1000"> <img src="doc/images/2.png" width="1000">
@ -100,7 +100,7 @@ First, you should have the style reference data for synthesis tasks, which are g
* `language`: The language of the corpus. Needed if method is not `EnNumCorpus`. * `language`: The language of the corpus. Needed if method is not `EnNumCorpus`.
* `corpus_file`: The corpus file path. Needed if method is not `EnNumCorpus`. * `corpus_file`: The corpus file path. Needed if method is not `EnNumCorpus`.
We provide a general dataset constaining Chinese, English and Korean (50,000 images in all) for your trial ([download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/style_text/chkoen_5w.tar)), some examples are given below : We provide a general dataset containing Chinese, English and Korean (50,000 images in all) for your trial ([download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/style_text/chkoen_5w.tar)), some examples are given below :
<div align="center"> <div align="center">
<img src="doc/images/5.png" width="800"> <img src="doc/images/5.png" width="800">