From 97497d355f90eb8d16538926fd291a9d0bb98d4d Mon Sep 17 00:00:00 2001 From: Leif <4603009@qq.com> Date: Thu, 25 Aug 2022 18:59:00 +0800 Subject: [PATCH 1/2] rename readme rename readme --- PPOCRLabel/setup.py | 2 +- ppstructure/pdf2word/{pdf2word.md => README.md} | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename ppstructure/pdf2word/{pdf2word.md => README.md} (100%) diff --git a/PPOCRLabel/setup.py b/PPOCRLabel/setup.py index 1ec54df11a..1750f84b82 100644 --- a/PPOCRLabel/setup.py +++ b/PPOCRLabel/setup.py @@ -33,7 +33,7 @@ setup( package_dir={'PPOCRLabel': ''}, include_package_data=True, entry_points={"console_scripts": ["PPOCRLabel= PPOCRLabel.PPOCRLabel:main"]}, - version='1.0.2', + version='2.1.1', install_requires=requirements, license='Apache License 2.0', description='PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models', diff --git a/ppstructure/pdf2word/pdf2word.md b/ppstructure/pdf2word/README.md similarity index 100% rename from ppstructure/pdf2word/pdf2word.md rename to ppstructure/pdf2word/README.md From 69666cd37548db722a0c22f3ada448b4f32fba8f Mon Sep 17 00:00:00 2001 From: Leif <4603009@qq.com> Date: Wed, 31 Aug 2022 21:03:17 +0800 Subject: [PATCH 2/2] Update the README of PPOCRLabel Update the README of PPOCRLabel --- PPOCRLabel/README.md | 10 +++++++--- PPOCRLabel/README_ch.md | 8 ++++++-- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/PPOCRLabel/README.md b/PPOCRLabel/README.md index 3bdc336827..089a63fd55 100644 --- a/PPOCRLabel/README.md +++ b/PPOCRLabel/README.md @@ -1,10 +1,14 @@ English | [简体中文](README_ch.md) -# PPOCRLabel +# PPOCRLabelv2 -PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box, table and multi-point annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. +PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. - +| regular text annotation | table annotation | +| :-------------------------------------------------: | :--------------------------------------------: | +| | | +| **irregular text annotation** | **key information annotation** | +| | | ### Recent Update diff --git a/PPOCRLabel/README_ch.md b/PPOCRLabel/README_ch.md index 107f902a68..3ea684a3f0 100644 --- a/PPOCRLabel/README_ch.md +++ b/PPOCRLabel/README_ch.md @@ -1,10 +1,14 @@ [English](README.md) | 简体中文 -# PPOCRLabel +# PPOCRLabelv2 PPOCRLabel是一款适用于OCR领域的半自动化图形标注工具，内置PP-OCR模型对数据自动标注和重新识别。使用Python3和PyQT5编写，支持矩形框标注和四点标注模式，导出格式可直接用于PaddleOCR检测和识别模型的训练。 - +| 常规标注 | 表格标注 | +| :-------------------------------------------------: | :--------------------------------------------: | +| | | +| **不规则文本标注** | **关键信息标注** | +| | | #### 近期更新 - 2022.05：**新增表格标注**，使用方法见下方`2.2 表格标注`（by [whjdark](https://github.com/peterh0323); [Evezerest](https://github.com/Evezerest))