未验证 提交 cb49dcc7 编写于 作者: M MissPenguin 提交者: GitHub

Merge pull request #449 from littletomatodonkey/add_beyond

add beyond into thanks
......@@ -212,3 +212,4 @@ We welcome all the contributions to PaddleOCR and appreciate for your feedback v
- Many thanks to [lyl120117](https://github.com/lyl120117) for contributing the code for printing the network structure.
- Thanks [xiangyubo](https://github.com/xiangyubo) for contributing the handwritten Chinese OCR datasets.
- Thanks [authorfu](https://github.com/authorfu) for contributing Android demo and [xiadeye](https://github.com/xiadeye) contributing iOS demo, respectively.
- Thanks [BeyondYourself](https://github.com/BeyondYourself) for contributing many great suggestions and simplifying part of the code style.
......@@ -32,7 +32,7 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库,助力
上图是超轻量级中文OCR模型效果展示,更多效果图请见[效果展示页面](./doc/doc_ch/visualization.md)
- 超轻量级中文OCR在线体验地址:https://www.paddlepaddle.org.cn/hub/scene/ocr
- 移动端DEMO体验(基于EasyEdge和Paddle-Lite, 支持iOS和Android系统):[安装包二维码获取地址](https://ai.baidu.com/easyedge/app/openSource?from=paddlelite)
- 移动端DEMO体验(基于EasyEdge和Paddle-Lite, 支持iOS和Android系统):[安装包二维码获取地址](https://ai.baidu.com/easyedge/app/openSource?from=paddlelite)
Android手机也可以扫描下面二维码安装体验。
......@@ -205,8 +205,9 @@ PaddleOCR文本识别算法的训练和使用请参考文档教程中[模型训
## 贡献代码
我们非常欢迎你为PaddleOCR贡献代码,也十分感谢你的反馈。
- 非常感谢 [Khanh Tran](https://github.com/xxxpsyduck) 贡献了英文文档
- 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
- 非常感谢 [xiangyubo](https://github.com/xiangyubo) 贡献手写中文OCR数据集
- 非常感谢 [authorfu](https://github.com/authorfu) 贡献Android和[xiadeye](https://github.com/xiadeye) 贡献IOS的demo代码
- 非常感谢 [BeyondYourself](https://github.com/BeyondYourself) 给PaddleOCR提了很多非常棒的建议,并简化了PaddleOCR的部分代码风格。
......@@ -43,7 +43,7 @@ class TrainReader(object):
img_num = len(label_infor_list)
img_id_list = list(range(img_num))
random.shuffle(img_id_list)
if sys.platform == "win32":
if sys.platform == "win32" and self.num_workers != 1:
print("multiprocess is not fully compatible with Windows."
"num_workers will be 1.")
self.num_workers = 1
......
......@@ -233,7 +233,7 @@ class SimpleReader(object):
img_num = len(label_infor_list)
img_id_list = list(range(img_num))
random.shuffle(img_id_list)
if sys.platform == "win32":
if sys.platform == "win32" and self.num_workers != 1:
print("multiprocess is not fully compatible with Windows."
"num_workers will be 1.")
self.num_workers = 1
......
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