Merge pull request #449 from littletomatodonkey/add_beyond

add beyond into thanks

README.md

@@ -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.

README_cn.md

@@ -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。

ppocr/data/det/dataset_traversal.py

@@ -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

ppocr/data/rec/dataset_traversal.py

@@ -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