update readme for space and add thanks for user

release/1.1
tink2123 5 years ago
parent a987ec70e8
commit 0a92617cb0

@ -4,7 +4,7 @@
PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库助力使用者训练出更好的模型并应用落地。
**近期更新**
- 2020.7.9 添加支持空格的识别模型,[识别效果](#支持空格的中文OCR效果展示)
- 2020.7.9 添加支持空格的识别模型,[识别效果](#支持空格的中文OCR效果展示)[训练](./doc/doc_ch/recognition.md)及[预测](./doc/doc_ch/quickstart.md)
- 2020.7.9 添加数据增强、学习率衰减策略,具体参考[配置文件](./doc/doc_ch/config.md)
- 2020.6.8 添加[数据集](./doc/doc_ch/datasets.md),并保持持续更新
- 2020.6.5 支持 `attetnion` 模型导出 `inference_model`
@ -179,3 +179,4 @@ PaddleOCR文本识别算法的训练和使用请参考文档教程中[模型训
- 非常感谢 [Khanh Tran](https://github.com/xxxpsyduck) 贡献了英文文档。
- 非常感谢 [zhangxin](https://github.com/ZhangXinNan)([Blog](https://blog.csdn.net/sdlypyzq)) 贡献新的可视化方式、添加.gitgnore、处理手动设置PYTHONPATH环境变量的问题
- 非常感谢 [lyl120117](https://github.com/lyl120117) 贡献打印网络结构的代码

@ -4,7 +4,7 @@ English | [简体中文](README.md)
PaddleOCR aims to create a rich, leading, and practical OCR tools that help users train better models and apply them into practice.
**Recent updates**、
- 2020.7.9 Add recognition model to support space, [recognition result](#space Chinese OCR results)
- 2020.7.9 Add recognition model to support space, [recognition result](#space Chinese OCR results),[Training](./doc/doc_ch/recognition.md)及[Inference](./doc/doc_ch/quickstart.md)
- 2020.7.9 Add data auguments and learning rate decay strategies,please read [config](./doc/doc_en/config_en.md)
- 2020.6.8 Add [dataset](./doc/doc_en/datasets_en.md) and keep updating
- 2020.6.5 Support exporting `attention` model to `inference_model`
@ -299,3 +299,4 @@ We welcome all the contributions to PaddleOCR and appreciate for your feedback v
- Many thanks to [Khanh Tran](https://github.com/xxxpsyduck) for contributing the English documentation.
- Many thanks to [zhangxin](https://github.com/ZhangXinNan) for contributing the new visualize function、add .gitgnore and discard set PYTHONPATH manually.
- Many thanks to [lyl120117](https://github.com/lyl120117) for contributing the code for printing the network structure.

@ -91,7 +91,7 @@ def main():
# dump mode structure
if config['Global']['debug']:
if 'Attention' in config['Head'].keys():
if 'attention' in config['Global']['loss_type']:
logger.warning('Does not suport dump attention...')
else:
summary(train_program)

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