未验证 提交 282eebbd 编写于 作者: E Evezerest 提交者: GitHub

Merge pull request #7442 from Evezerest/release2.6

Update the README of PPOCRLabel
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.
<img src="./data/gif/steps_en.gif" width="100%"/>
| regular text annotation | table annotation |
| :-------------------------------------------------: | :--------------------------------------------: |
| <img src="./data/gif/steps_en.gif" width="80%"/> | <img src="./data/gif/table.gif" width="100%"/> |
| **irregular text annotation** | **key information annotation** |
| <img src="./data/gif/multi-point.gif" width="80%"/> | <img src="./data/gif/kie.gif" width="100%"/> |
### Recent Update
......
[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。
<img src="./data/gif/steps.gif" width="100%"/>
| 常规标注 | 表格标注 |
| :-------------------------------------------------: | :--------------------------------------------: |
| <img src="./data/gif/steps_en.gif" width="80%"/> | <img src="./data/gif/table.gif" width="100%"/> |
| **不规则文本标注** | **关键信息标注** |
| <img src="./data/gif/multi-point.gif" width="80%"/> | <img src="./data/gif/kie.gif" width="100%"/> |
#### 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))
......
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