From b800717724c29b1e206dc523004d18f57ffcf09f Mon Sep 17 00:00:00 2001 From: weishengyu Date: Wed, 16 Dec 2020 16:35:16 +0800 Subject: [PATCH 1/9] add examples in doc --- StyleText/README.md | 13 ++++++++++++- StyleText/README_ch.md | 13 +++++++++++++ StyleText/configs/dataset_config.yml | 6 +++--- StyleText/examples/corpus/example.txt | 2 +- StyleText/examples/style_images/12.png | Bin 0 -> 117601 bytes 5 files changed, 29 insertions(+), 5 deletions(-) create mode 100644 StyleText/examples/style_images/12.png diff --git a/StyleText/README.md b/StyleText/README.md index f978f438..43c48208 100644 --- a/StyleText/README.md +++ b/StyleText/README.md @@ -138,7 +138,18 @@ We provide a general dataset containing Chinese, English and Korean (50,000 imag ``` bash python -m tools.synth_dataset.py -c configs/dataset_config.yml ``` - +We also provide example corpus and images in `example` folder. +
+ + +
+If you run the code above directly, you will get example output data in `output_data` folder. +You will get synthesis images and labels as below: +
+ +
+There will be some cache under the `label` folder. If the program exit unexpectedly, you can find cached labels there. +When the program finish normally, you will find all the labels in `label.txt` which give the final results. ### Applications diff --git a/StyleText/README_ch.md b/StyleText/README_ch.md index a8ab933b..c25290ae 100644 --- a/StyleText/README_ch.md +++ b/StyleText/README_ch.md @@ -126,6 +126,19 @@ python3 -m tools.synth_image -c configs/config.yml --style_image examples/style_ ``` bash python -m tools.synth_dataset -c configs/dataset_config.yml ``` + 我们在example提供了样例图片和语料在example中。 +
+ + +
+ + 直接运行上述命令,可以在output_data中产生样例输出,包括图片和用于训练识别模型的标注文件: +
+ +
+ + 其中label目录下的标注文件为程序运行过程中产生的缓存,如果程序在中途异常终止,可以使用缓存的标注文件。 + 如果程序正常运行完毕,则会在output_data下生成label.txt,为最终的标注结果。 ### 四、应用案例 diff --git a/StyleText/configs/dataset_config.yml b/StyleText/configs/dataset_config.yml index e047489e..aa4ec69b 100644 --- a/StyleText/configs/dataset_config.yml +++ b/StyleText/configs/dataset_config.yml @@ -33,7 +33,7 @@ Predictor: - 0.5 expand_result: false bg_generator: - pretrain: models/style_text_rec/bg_generator + pretrain: style_text_models/bg_generator module_name: bg_generator generator_type: BgGeneratorWithMask encode_dim: 64 @@ -43,7 +43,7 @@ Predictor: conv_block_dilation: true output_factor: 1.05 text_generator: - pretrain: models/style_text_rec/text_generator + pretrain: style_text_models/text_generator module_name: text_generator generator_type: TextGenerator encode_dim: 64 @@ -52,7 +52,7 @@ Predictor: conv_block_dropout: false conv_block_dilation: true fusion_generator: - pretrain: models/style_text_rec/fusion_generator + pretrain: style_text_models/fusion_generator module_name: fusion_generator generator_type: FusionGeneratorSimple encode_dim: 64 diff --git a/StyleText/examples/corpus/example.txt b/StyleText/examples/corpus/example.txt index 78451cc3..93ba35af 100644 --- a/StyleText/examples/corpus/example.txt +++ b/StyleText/examples/corpus/example.txt @@ -1,2 +1,2 @@ -PaddleOCR +Paddle 飞桨文字识别 diff --git a/StyleText/examples/style_images/12.png b/StyleText/examples/style_images/12.png new file mode 100644 index 0000000000000000000000000000000000000000..d53c96d31f6c4cafb79a7342baa8e673d649be53 GIT binary patch literal 117601 zcmeEtV{m4{_hxK6Z=B4;wr$%JJDJ$Fjfrg=6Wg})#x&ENx6dKqMnlQlV9o#;`_?-@6}#;eSb=$i>TpP~}6T#3L1;B?=0|GLeL@CJbTf z!c&vxRh^KA2UgM$TMN-@YC_Pia)g(a%?t%1raXhj)pcBVK2LXWCB5@-xLs|gvp7u) zfGB>hk}8o`K?wd~l)%S55s6cfEZQdmhf@So1;Smd;YWnyqN2hnWs+d!QkKD58y1>B3ULAG$j8?uHL?fe^b`Y+6{xS_F0|s$&)+7SLt_o2Yy_ z`lynkNo0>iCEg0Ez(E4~&7u}S^3n<&Jn1PAt3_ai*VIQbVU(st){+Lyos?|FJY3b) 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a/StyleText/README.md +++ b/StyleText/README.md @@ -138,7 +138,7 @@ We provide a general dataset containing Chinese, English and Korean (50,000 imag ``` bash python -m tools.synth_dataset.py -c configs/dataset_config.yml ``` -We also provide example corpus and images in `example` folder. +We also provide example corpus and images in `examples` folder.
diff --git a/StyleText/README_ch.md b/StyleText/README_ch.md index c25290ae..0fa015e1 100644 --- a/StyleText/README_ch.md +++ b/StyleText/README_ch.md @@ -126,7 +126,7 @@ python3 -m tools.synth_image -c configs/config.yml --style_image examples/style_ ``` bash python -m tools.synth_dataset -c configs/dataset_config.yml ``` - 我们在example提供了样例图片和语料在example中。 + 我们在examples目录下提供了样例图片和语料。
From 78d3349e1d02da84c0fd964cf45d2f54461cd9c2 Mon Sep 17 00:00:00 2001 From: weishengyu Date: Wed, 16 Dec 2020 20:14:26 +0800 Subject: [PATCH 5/9] add notice in size of style images --- StyleText/README.md | 5 ++++- StyleText/README_ch.md | 5 ++++- 2 files changed, 8 insertions(+), 2 deletions(-) diff --git a/StyleText/README.md b/StyleText/README.md index 8f77777c..648b1267 100644 --- a/StyleText/README.md +++ b/StyleText/README.md @@ -72,7 +72,10 @@ fusion_generator: python3 -m tools.synth_image -c configs/config.yml --style_image examples/style_images/2.jpg --text_corpus PaddleOCR --language en ``` -* Note: The language options is correspond to the corpus. Currently, the tool only supports English, Simplified Chinese and Korean. +* Note 1: The language options is correspond to the corpus. Currently, the tool only supports English, Simplified Chinese and Korean. +* Note 2: Synth-Text is mainly used to generate images for OCR recognition models. + So the height of style images should be around 32 pixels. Images in other sizes may behave poorly. + For example, enter the following image and corpus `PaddleOCR`. diff --git a/StyleText/README_ch.md b/StyleText/README_ch.md index 0fa015e1..0dd5822b 100644 --- a/StyleText/README_ch.md +++ b/StyleText/README_ch.md @@ -63,7 +63,10 @@ fusion_generator: ```python python3 -m tools.synth_image -c configs/config.yml --style_image examples/style_images/2.jpg --text_corpus PaddleOCR --language en ``` -* 注意:语言选项和语料相对应,目前该工具只支持英文、简体中文和韩语。 +* 注1:语言选项和语料相对应,目前该工具只支持英文、简体中文和韩语。 +* 注2:Style-Text生成的数据主要应用于OCR识别场景。基于当前PaddleOCR识别模型的设计,我们主要支持高度在32左右的风格图像。 + 如果输入图像尺寸相差过多,效果可能不佳。 + 例如,输入如下图片和语料"PaddleOCR": From 1f9d6d7f3126d26d6b7f17ad543656c1dea172ea Mon Sep 17 00:00:00 2001 From: weishengyu Date: Sat, 19 Dec 2020 12:02:20 +0800 Subject: [PATCH 6/9] disable gpu & windows --- StyleText/engine/predictors.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/StyleText/engine/predictors.py b/StyleText/engine/predictors.py index a1ba21f1..1326cddf 100644 --- a/StyleText/engine/predictors.py +++ b/StyleText/engine/predictors.py @@ -15,6 +15,7 @@ import numpy as np import cv2 import math import paddle +import platform from arch import style_text_rec from utils.sys_funcs import check_gpu @@ -23,13 +24,15 @@ from utils.logging import get_logger class StyleTextRecPredictor(object): def __init__(self, config): + self.logger = get_logger() algorithm = config['Predictor']['algorithm'] assert algorithm in ["StyleTextRec" ], "Generator {} not supported.".format(algorithm) use_gpu = config["Global"]['use_gpu'] + if use_gpu and paddle.is_compiled_with_cuda() and platform.system()=="Windows": + self.logger.error("GPU mode on Windows is not supported.") check_gpu(use_gpu) paddle.set_device('gpu' if use_gpu else 'cpu') - self.logger = get_logger() self.generator = getattr(style_text_rec, algorithm)(config) self.height = config["Global"]["image_height"] self.width = config["Global"]["image_width"] From ce12c66f3d945758243c96e13883af814acc7b8f Mon Sep 17 00:00:00 2001 From: weishengyu Date: Mon, 11 Jan 2021 01:11:37 +0800 Subject: [PATCH 7/9] add 5 FAQ --- README_ch.md | 4 +-- doc/doc_ch/FAQ.md | 69 +++++++++++++++++++++++++++++++---------------- 2 files changed, 48 insertions(+), 25 deletions(-) diff --git a/README_ch.md b/README_ch.md index a231800c..a788c227 100755 --- a/README_ch.md +++ b/README_ch.md @@ -8,7 +8,7 @@ PaddleOCR同时支持动态图与静态图两种编程范式 - 静态图版本:develop分支 **近期更新** -- 2021.1.4 [FAQ](./doc/doc_ch/FAQ.md)新增5个高频问题,总数142个,每周一都会更新,欢迎大家持续关注。 +- 2021.1.11 [FAQ](./doc/doc_ch/FAQ.md)新增5个高频问题,总数147个,每周一都会更新,欢迎大家持续关注。 - 2020.12.15 更新数据合成工具[Style-Text](./StyleText/README_ch.md),可以批量合成大量与目标场景类似的图像,在多个场景验证,效果明显提升。 - 2020.11.25 更新半自动标注工具[PPOCRLabel](./PPOCRLabel/README_ch.md),辅助开发者高效完成标注任务,输出格式与PP-OCR训练任务完美衔接。 - 2020.9.22 更新PP-OCR技术文章,https://arxiv.org/abs/2009.09941 @@ -102,7 +102,7 @@ PaddleOCR同时支持动态图与静态图两种编程范式 - FAQ - [【精选】OCR精选10个问题](./doc/doc_ch/FAQ.md) - [【理论篇】OCR通用31个问题](./doc/doc_ch/FAQ.md) - - [【实战篇】PaddleOCR实战101个问题](./doc/doc_ch/FAQ.md) + - [【实战篇】PaddleOCR实战106个问题](./doc/doc_ch/FAQ.md) - [技术交流群](#欢迎加入PaddleOCR技术交流群) - [参考文献](./doc/doc_ch/reference.md) - [许可证书](#许可证书) diff --git a/doc/doc_ch/FAQ.md b/doc/doc_ch/FAQ.md index da31d608..bf06132b 100755 --- a/doc/doc_ch/FAQ.md +++ b/doc/doc_ch/FAQ.md @@ -15,43 +15,41 @@ * [基础知识7题](#基础知识) * [数据集7题](#数据集2) * [模型训练调优17题](#模型训练调优2) -* [【实战篇】PaddleOCR实战101个问题](#PaddleOCR实战问题) - * [使用咨询31题](#使用咨询) +* [【实战篇】PaddleOCR实战106个问题](#PaddleOCR实战问题) + * [使用咨询36题](#使用咨询) * [数据集17题](#数据集3) * [模型训练调优26题](#模型训练调优3) * [预测部署27题](#预测部署3) -## 近期更新(2021.1.4) +## 近期更新(2021.1.11) -#### Q3.1.29: PPOCRLabel创建矩形框时只能拖出正方形,如何进行矩形标注? -**A**: 取消勾选:“编辑”-“正方形标注” +#### Q3.1.32 能否修改StyleText配置文件中的分辨率? -#### Q3.1.30: Style-Text 如何不文字风格迁移,就像普通文本生成程序一样默认字体直接输出到分割的背景图? +**A** StyleText目前的训练数据主要是高度32的图片,建议不要改变高度。未来我们会支持更丰富的分辨率。 -**A**: 使用image_synth模式会输出fake_bg.jpg,即为背景图。如果想要批量提取背景,可以稍微修改一下代码,将fake_bg保存下来即可。要修改的位置: -https://github.com/PaddlePaddle/PaddleOCR/blob/de3e2e7cd3b8b65ee02d7a41e570fa5b511a3c1d/StyleText/engine/synthesisers.py#L68 +#### Q3.1.33 StyleText是否可以更换字体文件? -#### Q3.1.31: 怎么输出网络结构以及每层的参数信息? +**A** StyleText项目中的字体文件为标准字体,主要用作模型的输入部分,不能够修改。 +StyleText的用途主要是:提取style_image中的字体、背景等style信息,根据语料生成同样style的图片。 -**A**: 可以使用 `paddle.summary`, 具体参考:https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0-rc1/api/paddle/hapi/model_summary/summary_cn.html#summary。 +#### Q3.1.34 StyleText批量生成图片为什么没有输出? -#### Q3.4.26: 目前paddle hub serving 只支持 imgpath,如果我想用imgurl 去哪里改呢? +**A** 需要检查以下您配置文件中的路径是否都存在。尤其要注意的是[label_file配置](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/StyleText/README_ch.md#%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B)。 +如果您使用的style_image输入没有label信息,您依然需要提供一个图片文件列表。 -**A**: 图片是在这里读取的:https://github.com/PaddlePaddle/PaddleOCR/blob/67ef25d593c4eabfaaceb22daade4577f53bed81/deploy/hubserving/ocr_system/module.py#L55, -可以参考下面的写法,将url path转化为np array(https://cloud.tencent.com/developer/article/1467840) -``` -response = request.urlopen('http://i1.whymtj.com/uploads/tu/201902/9999/52491ae4ba.jpg') -img_array = np.array(bytearray(response.read()), dtype=np.uint8) -img = cv.imdecode(img_array, -1) -``` +#### Q3.1.35 怎样把OCR输出的结果组成有意义的语句呢? -#### Q3.4.27: C++ 端侧部署可以只对OCR的检测部署吗? +**A** OCR输出的结果包含坐标信息和文字内容两部分。如果您不关心文字的顺序,那么可以直接按box的序号连起来。 +如果需要将文字按照一定的顺序排列,则需要您设定一些规则,对文字的坐标进行处理,例如按照坐标从上到下,从左到右连接识别结果。 +对于一些有规律的垂类场景,可以设定模板,根据位置、内容进行匹配。 +例如识别身份证照片,可以先匹配"姓名","性别"等关键字,根据这些关键字的坐标去推测其他信息的位置,再与识别的结果匹配。 -**A**: 可以的,识别和检测模块是解耦的。如果想对检测部署,需要自己修改一下main函数, -只保留检测相关就可以:https://github.com/PaddlePaddle/PaddleOCR/blob/de3e2e7cd3b8b65ee02d7a41e570fa5b511a3c1d/deploy/cpp_infer/src/main.cpp#L72 +#### Q3.1.36 如何识别竹简上的古文? +**A** 对于字符都是普通的汉字字符的情况,只要标注足够的数据,finetune模型就可以了。如果数据量不足,您可以尝试StyleText工具。 +而如果使用的字符是特殊的古文字、甲骨文、象形文字等,那么首先需要构建一个古文字的字典,之后再进行训练。 @@ -458,6 +456,31 @@ https://github.com/PaddlePaddle/PaddleOCR/blob/de3e2e7cd3b8b65ee02d7a41e570fa5b5 **A** 可以使用 `paddle.summary`, 具体参考:https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0-rc1/api/paddle/hapi/model_summary/summary_cn.html#summary。 +#### Q3.1.32 能否修改StyleText配置文件中的分辨率? + +**A** StyleText目前的训练数据主要是高度32的图片,建议不要改变高度。未来我们会支持更丰富的分辨率。 + +#### Q3.1.33 StyleText是否可以更换字体文件? + +**A** StyleText项目中的字体文件为标准字体,主要用作模型的输入部分,不能够修改。 +StyleText的用途主要是:提取style_image中的字体、背景等style信息,根据语料生成同样style的图片。 + +#### Q3.1.34 StyleText批量生成图片为什么没有输出? + +**A** 需要检查以下您配置文件中的路径是否都存在。尤其要注意的是[label_file配置](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/StyleText/README_ch.md#%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B)。 +如果您使用的style_image输入没有label信息,您依然需要提供一个图片文件列表。 + +#### Q3.1.35 怎样把OCR输出的结果组成有意义的语句呢? + +**A** OCR输出的结果包含坐标信息和文字内容两部分。如果您不关心文字的顺序,那么可以直接按box的序号连起来。 +如果需要将文字按照一定的顺序排列,则需要您设定一些规则,对文字的坐标进行处理,例如按照坐标从上到下,从左到右连接识别结果。 +对于一些有规律的垂类场景,可以设定模板,根据位置、内容进行匹配。 +例如识别身份证照片,可以先匹配"姓名","性别"等关键字,根据这些关键字的坐标去推测其他信息的位置,再与识别的结果匹配。 + +#### Q3.1.36 如何识别竹简上的古文? +**A** 对于字符都是普通的汉字字符的情况,只要标注足够的数据,finetune模型就可以了。如果数据量不足,您可以尝试StyleText工具。 +而如果使用的字符是特殊的古文字、甲骨文、象形文字等,那么首先需要构建一个古文字的字典,之后再进行训练。 + ### 数据集 @@ -519,8 +542,8 @@ https://github.com/PaddlePaddle/PaddleOCR/blob/de3e2e7cd3b8b65ee02d7a41e570fa5b5 #### Q3.2.11:有哪些标注工具可以标注OCR数据集? -**A**:您可以参考:https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/data_annotation_en.md。 -我们计划推出高效标注OCR数据的标注工具,请您持续关注PaddleOCR的近期更新。 +**A**:推荐您使用PPOCRLabel工具。 +您还可以参考:https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/data_annotation_en.md。 #### Q3.2.12:一些特殊场景的数据识别效果差,但是数据量很少,不够用来finetune怎么办? From 56f31b816081927b68f753148983cd078226a67a Mon Sep 17 00:00:00 2001 From: weishengyu Date: Mon, 11 Jan 2021 01:13:45 +0800 Subject: [PATCH 8/9] dbg --- StyleText/engine/predictors.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/StyleText/engine/predictors.py b/StyleText/engine/predictors.py index 1326cddf..a1ba21f1 100644 --- a/StyleText/engine/predictors.py +++ b/StyleText/engine/predictors.py @@ -15,7 +15,6 @@ import numpy as np import cv2 import math import paddle -import platform from arch import style_text_rec from utils.sys_funcs import check_gpu @@ -24,15 +23,13 @@ from utils.logging import get_logger class StyleTextRecPredictor(object): def __init__(self, config): - self.logger = get_logger() algorithm = config['Predictor']['algorithm'] assert algorithm in ["StyleTextRec" ], "Generator {} not supported.".format(algorithm) use_gpu = config["Global"]['use_gpu'] - if use_gpu and paddle.is_compiled_with_cuda() and platform.system()=="Windows": - self.logger.error("GPU mode on Windows is not supported.") check_gpu(use_gpu) paddle.set_device('gpu' if use_gpu else 'cpu') + self.logger = get_logger() self.generator = getattr(style_text_rec, algorithm)(config) self.height = config["Global"]["image_height"] self.width = config["Global"]["image_width"] From a02d40d4ffd82ba8c72d65fe1fd9c0e698da970c Mon Sep 17 00:00:00 2001 From: weishengyu Date: Mon, 11 Jan 2021 01:18:19 +0800 Subject: [PATCH 9/9] update colon --- doc/doc_ch/FAQ.md | 66 +++++++++++++++++++++++------------------------ 1 file changed, 33 insertions(+), 33 deletions(-) diff --git a/doc/doc_ch/FAQ.md b/doc/doc_ch/FAQ.md index bf06132b..c37857d9 100755 --- a/doc/doc_ch/FAQ.md +++ b/doc/doc_ch/FAQ.md @@ -28,27 +28,27 @@ #### Q3.1.32 能否修改StyleText配置文件中的分辨率? -**A** StyleText目前的训练数据主要是高度32的图片,建议不要改变高度。未来我们会支持更丰富的分辨率。 +**A**:StyleText目前的训练数据主要是高度32的图片,建议不要改变高度。未来我们会支持更丰富的分辨率。 #### Q3.1.33 StyleText是否可以更换字体文件? -**A** StyleText项目中的字体文件为标准字体,主要用作模型的输入部分,不能够修改。 +**A**:StyleText项目中的字体文件为标准字体,主要用作模型的输入部分,不能够修改。 StyleText的用途主要是:提取style_image中的字体、背景等style信息,根据语料生成同样style的图片。 #### Q3.1.34 StyleText批量生成图片为什么没有输出? -**A** 需要检查以下您配置文件中的路径是否都存在。尤其要注意的是[label_file配置](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/StyleText/README_ch.md#%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B)。 +**A**:需要检查以下您配置文件中的路径是否都存在。尤其要注意的是[label_file配置](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/StyleText/README_ch.md#%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B)。 如果您使用的style_image输入没有label信息,您依然需要提供一个图片文件列表。 #### Q3.1.35 怎样把OCR输出的结果组成有意义的语句呢? -**A** OCR输出的结果包含坐标信息和文字内容两部分。如果您不关心文字的顺序,那么可以直接按box的序号连起来。 +**A**:OCR输出的结果包含坐标信息和文字内容两部分。如果您不关心文字的顺序,那么可以直接按box的序号连起来。 如果需要将文字按照一定的顺序排列,则需要您设定一些规则,对文字的坐标进行处理,例如按照坐标从上到下,从左到右连接识别结果。 对于一些有规律的垂类场景,可以设定模板,根据位置、内容进行匹配。 例如识别身份证照片,可以先匹配"姓名","性别"等关键字,根据这些关键字的坐标去推测其他信息的位置,再与识别的结果匹配。 #### Q3.1.36 如何识别竹简上的古文? -**A** 对于字符都是普通的汉字字符的情况,只要标注足够的数据,finetune模型就可以了。如果数据量不足,您可以尝试StyleText工具。 +**A**:对于字符都是普通的汉字字符的情况,只要标注足够的数据,finetune模型就可以了。如果数据量不足,您可以尝试StyleText工具。 而如果使用的字符是特殊的古文字、甲骨文、象形文字等,那么首先需要构建一个古文字的字典,之后再进行训练。 @@ -159,7 +159,7 @@ StyleText的用途主要是:提取style_image中的字体、背景等style信 **A**:端到端在文字分布密集的业务场景,效率会比较有保证,精度的话看自己业务数据积累情况,如果行级别的识别数据积累比较多的话two-stage会比较好。百度的落地场景,比如工业仪表识别、车牌识别都用到端到端解决方案。 #### Q2.1.4 印章如何识别 -**A**: 1. 使用带tps的识别网络或abcnet,2.使用极坐标变换将图片拉平之后使用crnn +**A**:1. 使用带tps的识别网络或abcnet,2.使用极坐标变换将图片拉平之后使用crnn #### Q2.1.5 多语言的字典里是混合了不同的语种,这个是有什么讲究吗?统一到一个字典里会对精度造成多大的损失? **A**:统一到一个字典里,会造成最后一层FC过大,增加模型大小。如果有特殊需求的话,可以把需要的几种语言合并字典训练模型,合并字典之后如果引入过多的形近字,可能会造成精度损失,字符平衡的问题可能也需要考虑一下。在PaddleOCR里暂时将语言字典分开。 @@ -196,11 +196,11 @@ StyleText的用途主要是:提取style_image中的字体、背景等style信 #### Q2.2.6: 当训练数据量少时,如何获取更多的数据? -**A**: 当训练数据量少时,可以尝试以下三种方式获取更多的数据:(1)人工采集更多的训练数据,最直接也是最有效的方式。(2)基于PIL和opencv基本图像处理或者变换。例如PIL中ImageFont, Image, ImageDraw三个模块将文字写到背景中,opencv的旋转仿射变换,高斯滤波等。(3)利用数据生成算法合成数据,例如pix2pix等算法。 +**A**:当训练数据量少时,可以尝试以下三种方式获取更多的数据:(1)人工采集更多的训练数据,最直接也是最有效的方式。(2)基于PIL和opencv基本图像处理或者变换。例如PIL中ImageFont, Image, ImageDraw三个模块将文字写到背景中,opencv的旋转仿射变换,高斯滤波等。(3)利用数据生成算法合成数据,例如pix2pix等算法。 #### Q2.2.7: 论文《Editing Text in the Wild》中文本合成方法SRNet有什么特点? -**A**: SRNet是借鉴GAN中图像到图像转换、风格迁移的想法合成文本数据。不同于通用GAN的方法只选择一个分支,SRNet将文本合成任务分解为三个简单的子模块,提升合成数据的效果。这三个子模块为不带背景的文本风格迁移模块、背景抽取模块和融合模块。PaddleOCR计划将在2020年12月中旬开源基于SRNet的实用模型。 +**A**:SRNet是借鉴GAN中图像到图像转换、风格迁移的想法合成文本数据。不同于通用GAN的方法只选择一个分支,SRNet将文本合成任务分解为三个简单的子模块,提升合成数据的效果。这三个子模块为不带背景的文本风格迁移模块、背景抽取模块和融合模块。PaddleOCR计划将在2020年12月中旬开源基于SRNet的实用模型。 ### 模型训练调优 @@ -350,7 +350,7 @@ StyleText的用途主要是:提取style_image中的字体、背景等style信 #### Q3.1.13:识别模型框出来的位置太紧凑,会丢失边缘的文字信息,导致识别错误 -**A**: 可以在命令中加入 --det_db_unclip_ratio ,参数[定义位置](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/tools/infer/utility.py#L48),这个参数是检测后处理时控制文本框大小的,默认1.6,可以尝试改成2.5或者更大,反之,如果觉得文本框不够紧凑,也可以把该参数调小。 +**A**:可以在命令中加入 --det_db_unclip_ratio ,参数[定义位置](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/tools/infer/utility.py#L48),这个参数是检测后处理时控制文本框大小的,默认1.6,可以尝试改成2.5或者更大,反之,如果觉得文本框不够紧凑,也可以把该参数调小。 #### Q3.1.14:英文手写体识别有计划提供的预训练模型吗? @@ -414,7 +414,7 @@ python3 -m pip install paddlepaddle-gpu==2.0.0rc1 -i https://mirror.baidu.com/py #### Q3.1.24: PaddleOCR develop分支和dygraph分支的区别? -**A** 目前PaddleOCR有四个分支,分别是: +**A**:目前PaddleOCR有四个分支,分别是: - develop:基于Paddle静态图开发的分支,推荐使用paddle1.8 或者2.0版本,该分支具备完善的模型训练、预测、推理部署、量化裁剪等功能,领先于release/1.1分支。 - release/1.1:PaddleOCR 发布的第一个稳定版本,基于静态图开发,具备完善的训练、预测、推理部署、量化裁剪等功能。 @@ -427,58 +427,58 @@ python3 -m pip install paddlepaddle-gpu==2.0.0rc1 -i https://mirror.baidu.com/py #### Q3.1.25: 使用dygraph分支,在docker中训练PaddleOCR的时候,数据路径没有任何问题,但是一直报错`reader rasied an exception`,这是为什么呢? -**A** 创建docker的时候,`/dev/shm`的默认大小为64M,如果使用多进程读取数据,共享内存可能不够,因此需要给`/dev/shm`分配更大的空间,在创建docker的时候,传入`--shm-size=8g`表示给`/dev/shm`分配8g的空间。 +**A**:创建docker的时候,`/dev/shm`的默认大小为64M,如果使用多进程读取数据,共享内存可能不够,因此需要给`/dev/shm`分配更大的空间,在创建docker的时候,传入`--shm-size=8g`表示给`/dev/shm`分配8g的空间。 #### Q3.1.26: 在repo中没有找到Lite和PaddleServing相关的部署教程,这是在哪里呢? -**A** 目前PaddleOCR的默认分支为dygraph,关于Lite和PaddleLite的动态图部署还在适配中,如果希望在Lite端或者使用PaddleServing部署,推荐使用develop分支(静态图)的代码。 +**A**:目前PaddleOCR的默认分支为dygraph,关于Lite和PaddleLite的动态图部署还在适配中,如果希望在Lite端或者使用PaddleServing部署,推荐使用develop分支(静态图)的代码。 #### Q3.1.27: 如何可视化acc,loss曲线图,模型网络结构图等? -**A** 在配置文件里有`use_visualdl`的参数,设置为True即可,更多的使用命令可以参考:[VisualDL使用指南](https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0-rc1/guides/03_VisualDL/visualdl.html)。 +**A**:在配置文件里有`use_visualdl`的参数,设置为True即可,更多的使用命令可以参考:[VisualDL使用指南](https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0-rc1/guides/03_VisualDL/visualdl.html)。 #### Q3.1.28: 在使用StyleText数据合成工具的时候,报错`ModuleNotFoundError: No module named 'utils.config'`,这是为什么呢? -**A** 有2个解决方案 +**A**:有2个解决方案 - 在StyleText路径下面设置PYTHONPATH:`export PYTHONPATH=./` - 拉取最新的代码 #### Q3.1.29: PPOCRLabel创建矩形框时只能拖出正方形,如何进行矩形标注? -**A** 取消勾选:“编辑”-“正方形标注” +**A**:取消勾选:“编辑”-“正方形标注” #### Q3.1.30: Style-Text 如何不文字风格迁移,就像普通文本生成程序一样默认字体直接输出到分割的背景图? -**A** 使用image_synth模式会输出fake_bg.jpg,即为背景图。如果想要批量提取背景,可以稍微修改一下代码,将fake_bg保存下来即可。要修改的位置: +**A**:使用image_synth模式会输出fake_bg.jpg,即为背景图。如果想要批量提取背景,可以稍微修改一下代码,将fake_bg保存下来即可。要修改的位置: https://github.com/PaddlePaddle/PaddleOCR/blob/de3e2e7cd3b8b65ee02d7a41e570fa5b511a3c1d/StyleText/engine/synthesisers.py#L68 #### Q3.1.31: 怎么输出网络结构以及每层的参数信息? -**A** 可以使用 `paddle.summary`, 具体参考:https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0-rc1/api/paddle/hapi/model_summary/summary_cn.html#summary。 +**A**:可以使用 `paddle.summary`, 具体参考:https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0-rc1/api/paddle/hapi/model_summary/summary_cn.html#summary。 #### Q3.1.32 能否修改StyleText配置文件中的分辨率? -**A** StyleText目前的训练数据主要是高度32的图片,建议不要改变高度。未来我们会支持更丰富的分辨率。 +**A**:StyleText目前的训练数据主要是高度32的图片,建议不要改变高度。未来我们会支持更丰富的分辨率。 #### Q3.1.33 StyleText是否可以更换字体文件? -**A** StyleText项目中的字体文件为标准字体,主要用作模型的输入部分,不能够修改。 +**A**:StyleText项目中的字体文件为标准字体,主要用作模型的输入部分,不能够修改。 StyleText的用途主要是:提取style_image中的字体、背景等style信息,根据语料生成同样style的图片。 #### Q3.1.34 StyleText批量生成图片为什么没有输出? -**A** 需要检查以下您配置文件中的路径是否都存在。尤其要注意的是[label_file配置](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/StyleText/README_ch.md#%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B)。 +**A**:需要检查以下您配置文件中的路径是否都存在。尤其要注意的是[label_file配置](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/StyleText/README_ch.md#%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B)。 如果您使用的style_image输入没有label信息,您依然需要提供一个图片文件列表。 #### Q3.1.35 怎样把OCR输出的结果组成有意义的语句呢? -**A** OCR输出的结果包含坐标信息和文字内容两部分。如果您不关心文字的顺序,那么可以直接按box的序号连起来。 +**A**:OCR输出的结果包含坐标信息和文字内容两部分。如果您不关心文字的顺序,那么可以直接按box的序号连起来。 如果需要将文字按照一定的顺序排列,则需要您设定一些规则,对文字的坐标进行处理,例如按照坐标从上到下,从左到右连接识别结果。 对于一些有规律的垂类场景,可以设定模板,根据位置、内容进行匹配。 例如识别身份证照片,可以先匹配"姓名","性别"等关键字,根据这些关键字的坐标去推测其他信息的位置,再与识别的结果匹配。 #### Q3.1.36 如何识别竹简上的古文? -**A** 对于字符都是普通的汉字字符的情况,只要标注足够的数据,finetune模型就可以了。如果数据量不足,您可以尝试StyleText工具。 +**A**:对于字符都是普通的汉字字符的情况,只要标注足够的数据,finetune模型就可以了。如果数据量不足,您可以尝试StyleText工具。 而如果使用的字符是特殊的古文字、甲骨文、象形文字等,那么首先需要构建一个古文字的字典,之后再进行训练。 @@ -562,15 +562,15 @@ StyleText的用途主要是:提取style_image中的字体、背景等style信 #### Q3.2.15: 文本标注工具PPOCRLabel有什么特色? -**A**: PPOCRLabel是一个半自动文本标注工具,它使用基于PPOCR的中英文OCR模型,预先预测文本检测和识别结果,然后用户对上述结果进行校验和修正就行,大大提高用户的标注效率。同时导出的标注结果直接适配PPOCR训练所需要的数据格式, +**A**:PPOCRLabel是一个半自动文本标注工具,它使用基于PPOCR的中英文OCR模型,预先预测文本检测和识别结果,然后用户对上述结果进行校验和修正就行,大大提高用户的标注效率。同时导出的标注结果直接适配PPOCR训练所需要的数据格式, #### Q3.2.16: 文本标注工具PPOCRLabel,可以更换模型吗? -**A**: PPOCRLabel中OCR部署方式采用的基于pip安装whl包快速推理,可以参考相关文档更换模型路径,进行特定任务的标注适配。基于pip安装whl包快速推理的文档如下,https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/whl.md。 +**A**:PPOCRLabel中OCR部署方式采用的基于pip安装whl包快速推理,可以参考相关文档更换模型路径,进行特定任务的标注适配。基于pip安装whl包快速推理的文档如下,https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/whl.md。 #### Q3.2.17: 文本标注工具PPOCRLabel支持的运行环境有哪些? -**A**: PPOCRLabel可运行于Linux、Windows、MacOS等多种系统。操作步骤可以参考文档,https://github.com/PaddlePaddle/PaddleOCR/blob/develop/PPOCRLabel/README.md +**A**:PPOCRLabel可运行于Linux、Windows、MacOS等多种系统。操作步骤可以参考文档,https://github.com/PaddlePaddle/PaddleOCR/blob/develop/PPOCRLabel/README.md @@ -683,15 +683,15 @@ ps -axu | grep train.py | awk '{print $2}' | xargs kill -9 #### Q3.3.20: 文字检测时怎么模糊的数据增强? -**A**: 模糊的数据增强需要修改代码进行添加,以DB为例,参考[Normalize](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/data/imaug/operators.py#L60) ,添加模糊的增强就行 +**A**:模糊的数据增强需要修改代码进行添加,以DB为例,参考[Normalize](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/data/imaug/operators.py#L60) ,添加模糊的增强就行 #### Q3.3.21: 文字检测时怎么更改图片旋转的角度,实现360度任意旋转? -**A**: 将[这里](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/data/imaug/iaa_augment.py#L64) 的(-10,10) 改为(-180,180)即可 +**A**:将[这里](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/data/imaug/iaa_augment.py#L64) 的(-10,10) 改为(-180,180)即可 #### Q3.3.22: 训练数据的长宽比过大怎么修改shape -**A**: 识别修改[这里](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yaml#L75) , +**A**:识别修改[这里](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yaml#L75) , 检测修改[这里](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml#L85) #### Q3.3.23:检测模型训练或预测时出现elementwise_add报错 @@ -700,15 +700,15 @@ ps -axu | grep train.py | awk '{print $2}' | xargs kill -9 #### Q3.3.24: DB检测训练输入尺寸640,可以改大一些吗? -**A**: 不建议改大。检测模型训练输入尺寸是预处理中random crop后的尺寸,并非直接将原图进行resize,多数场景下这个尺寸并不小了,改大后可能反而并不合适,而且训练会变慢。另外,代码里可能有的地方参数按照预设输入尺寸适配的,改大后可能有隐藏风险。 +**A**:不建议改大。检测模型训练输入尺寸是预处理中random crop后的尺寸,并非直接将原图进行resize,多数场景下这个尺寸并不小了,改大后可能反而并不合适,而且训练会变慢。另外,代码里可能有的地方参数按照预设输入尺寸适配的,改大后可能有隐藏风险。 #### Q3.3.25: 识别模型训练时,loss能正常下降,但acc一直为0 -**A**: 识别模型训练初期acc为0是正常的,多训一段时间指标就上来了。 +**A**:识别模型训练初期acc为0是正常的,多训一段时间指标就上来了。 #### Q3.3.26: PaddleOCR在训练的时候一直使用cosine_decay的学习率下降策略,这是为什么呢? -**A**: cosine_decay表示在训练的过程中,学习率按照cosine的变化趋势逐渐下降至0,在迭代轮数更长的情况下,比常量的学习率变化策略会有更好的收敛效果,因此在实际训练的时候,均采用了cosine_decay,来获得精度更高的模型。 +**A**:cosine_decay表示在训练的过程中,学习率按照cosine的变化趋势逐渐下降至0,在迭代轮数更长的情况下,比常量的学习率变化策略会有更好的收敛效果,因此在实际训练的时候,均采用了cosine_decay,来获得精度更高的模型。 @@ -831,7 +831,7 @@ ps -axu | grep train.py | awk '{print $2}' | xargs kill -9 ### Q3.4.26: 目前paddle hub serving 只支持 imgpath,如果我想用imgurl 去哪里改呢? -**A**: 图片是在这里读取的:https://github.com/PaddlePaddle/PaddleOCR/blob/67ef25d593c4eabfaaceb22daade4577f53bed81/deploy/hubserving/ocr_system/module.py#L55, +**A**:图片是在这里读取的:https://github.com/PaddlePaddle/PaddleOCR/blob/67ef25d593c4eabfaaceb22daade4577f53bed81/deploy/hubserving/ocr_system/module.py#L55, 可以参考下面的写法,将url path转化为np array(https://cloud.tencent.com/developer/article/1467840) ``` response = request.urlopen('http://i1.whymtj.com/uploads/tu/201902/9999/52491ae4ba.jpg') @@ -841,5 +841,5 @@ img = cv.imdecode(img_array, -1) ### Q3.4.27: C++ 端侧部署可以只对OCR的检测部署吗? -**A** 可以的,识别和检测模块是解耦的。如果想对检测部署,需要自己修改一下main函数, +**A**:可以的,识别和检测模块是解耦的。如果想对检测部署,需要自己修改一下main函数, 只保留检测相关就可以:https://github.com/PaddlePaddle/PaddleOCR/blob/de3e2e7cd3b8b65ee02d7a41e570fa5b511a3c1d/deploy/cpp_infer/src/main.cpp#L72