diff --git a/PPOCRLabel/README.md b/PPOCRLabel/README.md index 19e54ab14663ab86285a45680ac2b6421420e4d4..9c6ce120974701b372fb091fcd40038f790444d3 100644 --- a/PPOCRLabel/README.md +++ b/PPOCRLabel/README.md @@ -79,7 +79,7 @@ PPOCRLabel # run ```bash cd PaddleOCR/PPOCRLabel -python3 setup.py bdist_wheel +python3 setup.py bdist_wheel pip3 install dist/PPOCRLabel-1.0.2-py2.py3-none-any.whl ``` @@ -171,7 +171,7 @@ python PPOCRLabel.py - Model language switching: Changing the built-in model language is supportable by clicking "PaddleOCR"-"Choose OCR Model" in the menu bar. Currently supported languages​include French, German, Korean, and Japanese. For specific model download links, please refer to [PaddleOCR Model List](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/models_list_en.md#multilingual-recognition-modelupdating) -- **Custom Model**: If users want to replace the built-in model with their own inference model, they can follow the [Custom Model Code Usage](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.3/doc/doc_en/whl_en.md#31-use-by-code) by modifying PPOCRLabel.py for [Instantiation of PaddleOCR class](https://github.com/PaddlePaddle/PaddleOCR/blob/release/ 2.3/PPOCRLabel/PPOCRLabel.py#L116) : +- **Custom Model**: If users want to replace the built-in model with their own inference model, they can follow the [Custom Model Code Usage](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.3/doc/doc_en/whl_en.md#31-use-by-code) by modifying PPOCRLabel.py for [Instantiation of PaddleOCR class](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/PPOCRLabel/PPOCRLabel.py#L86) : add parameter `det_model_dir` in `self.ocr = PaddleOCR(use_pdserving=False, use_angle_cls=True, det=True, cls=True, use_gpu=gpu, lang=lang) ` @@ -235,4 +235,4 @@ For some data that are difficult to recognize, the recognition results will not ### 4. Related -1.[Tzutalin. LabelImg. Git code (2015)](https://github.com/tzutalin/labelImg) \ No newline at end of file +1.[Tzutalin. LabelImg. Git code (2015)](https://github.com/tzutalin/labelImg) diff --git a/README.md b/README.md index 8936fbaa27c92fc64a7098a9e79cc0fe923910fb..b1d464879bdbe64c8812a7ce335023ba5cca9727 100644 --- a/README.md +++ b/README.md @@ -92,7 +92,7 @@ Mobile DEMO experience (based on EasyEdge and Paddle-Lite, supports iOS and Andr | ------------------------------------------------------------ | ---------------------------- | ----------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | | Chinese and English ultra-lightweight PP-OCRv2 model（11.6M） | ch_PP-OCRv2_xx |Mobile & Server|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_distill_train.tar)| [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_train.tar)| | Chinese and English ultra-lightweight PP-OCR model (9.4M) | ch_ppocr_mobile_v2.0_xx | Mobile & server |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar) | -| Chinese and English general PP-OCR model (143.4M) | ch_ppocr_server_v2.0_xx | Server |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_traingit.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) | +| Chinese and English general PP-OCR model (143.4M) | ch_ppocr_server_v2.0_xx | Server |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) | For more model downloads (including multiple languages), please refer to [PP-OCR series model downloads](./doc/doc_en/models_list_en.md). diff --git a/README_ch.md b/README_ch.md index f39f3cb9acdb921773368170cae355bd9d29d4ce..bf89a62ba816cb734b8ff19a5a88ff8b48f235ce 100755 --- a/README_ch.md +++ b/README_ch.md @@ -99,7 +99,7 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库，助力 - [PP-Structure信息提取](./ppstructure/README_ch.md) - [版面分析](./ppstructure/layout/README_ch.md) - [表格识别](./ppstructure/table/README_ch.md) - - [DocVQA](./ppstructure/vqa/README_ch.md) + - [DocVQA](./ppstructure/vqa/README.md) - [关键信息提取](./ppstructure/docs/kie.md) - OCR学术圈 - [两阶段模型介绍与下载](./doc/doc_ch/algorithm_overview.md) diff --git a/deploy/lite/readme.md b/deploy/lite/readme.md index 29a1e165eb0a5850a3e9651dff50d094b7ff1f8e..365cb02d529bdabcb2346ed576ba3bd3b076e2db 100644 --- a/deploy/lite/readme.md +++ b/deploy/lite/readme.md @@ -42,7 +42,7 @@ git checkout release/v2.9 注意：编译Paddle-Lite获得预测库时，需要打开`--with_cv=ON --with_extra=ON`两个选项，`--arch`表示`arm`版本，这里指定为armv8， 更多编译命令 -介绍请参考 [链接](https://paddle-lite.readthedocs.io/zh/latest/source_compile/compile_andriod.html) 。 +介绍请参考 [链接](https://paddle-lite.readthedocs.io/zh/release-v2.10_a/source_compile/linux_x86_compile_android.html) 。 直接下载预测库并解压后，可以得到`inference_lite_lib.android.armv8/`文件夹，通过编译Paddle-Lite得到的预测库位于 `Paddle-Lite/build.lite.android.armv8.gcc/inference_lite_lib.android.armv8/`文件夹下。 diff --git a/deploy/lite/readme_en.md b/deploy/lite/readme_en.md index 65dd10b710ed23ceb6ba01cd8f29b1bd01f1cf09..d200a615ceef391c17542d10d6812367bb9a822a 100644 --- a/deploy/lite/readme_en.md +++ b/deploy/lite/readme_en.md @@ -44,7 +44,7 @@ git checkout release/v2.8 Note: When compiling Paddle-Lite to obtain the Paddle-Lite library, you need to turn on the two options `--with_cv=ON --with_extra=ON`, `--arch` means the `arm` version, here is designated as armv8, -More compilation commands refer to the introduction [link](https://paddle-lite.readthedocs.io/zh/latest/source_compile/compile_andriod.html) 。 +More compilation commands refer to the introduction [link](https://paddle-lite.readthedocs.io/zh/release-v2.10_a/source_compile/linux_x86_compile_android.html) 。 After directly downloading the Paddle-Lite library and decompressing it, you can get the `inference_lite_lib.android.armv8/` folder, and the Paddle-Lite library obtained by compiling Paddle-Lite is located `Paddle-Lite/build.lite.android.armv8.gcc/inference_lite_lib.android.armv8/` folder. diff --git a/doc/doc_en/models_list_en.md b/doc/doc_en/models_list_en.md index 157b4fe31c6b55e4bffc8fb9abe1d067b9a60e51..4c02c56e03c56d9ad85789e5cbb20c0f630153b2 100644 --- a/doc/doc_en/models_list_en.md +++ b/doc/doc_en/models_list_en.md @@ -4,13 +4,14 @@ > 2. Compared with [models 1.1](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/models_list_en.md), which are trained with static graph programming paradigm, models 2.0 are the dynamic graph trained version and achieve close performance. > 3. All models in this tutorial are all ppocr-series models, for more introduction of algorithms and models based on public dataset, you can refer to [algorithm overview tutorial](./algorithm_overview_en.md). -- [1. Text Detection Model](#Detection) -- [2. Text Recognition Model](#Recognition) - - [2.1 Chinese Recognition Model](#Chinese) - - [2.2 English Recognition Model](#English) - - [2.3 Multilingual Recognition Model](#Multilingual) -- [3. Text Angle Classification Model](#Angle) -- [4. Paddle-Lite Model](#Paddle-Lite) +- [OCR Model List（V2.1, updated on 2021.9.6）](#ocr-model-listv21-updated-on-202196) + - [1. Text Detection Model](#1-text-detection-model) + - [2. Text Recognition Model](#2-text-recognition-model) + - [2.1 Chinese Recognition Model](#21-chinese-recognition-model) + - [2.2 English Recognition Model](#22-english-recognition-model) + - [2.3 Multilingual Recognition Model（Updating...）](#23-multilingual-recognition-modelupdating) + - [3. Text Angle Classification Model](#3-text-angle-classification-model) + - [4. Paddle-Lite Model](#4-paddle-lite-model) The downloadable models provided by PaddleOCR include `inference model`, `trained model`, `pre-trained model` and `slim model`. The differences between the models are as follows: @@ -44,7 +45,7 @@ Relationship of the above models is as follows. |model name|description|config|model size|download| | --- | --- | --- | --- | --- | |ch_PP-OCRv2_rec_slim|[New] Slim qunatization with distillation lightweight model, supporting Chinese, English, multilingual text recognition|[ch_PP-OCRv2_rec.yml](../../configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec.yml)| 9M |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_slim_quant_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_slim_quant_train.tar) | -|ch_PP-OCRv2_rec|[New] Original lightweight model, supporting Chinese, English, multilingual text recognition|[ch_PP-OCRv2_rec_distillation.yml](../../configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec_distillation.yml)|8.5M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_train.tar) | +|ch_PP-OCRv2_rec|[New] Original lightweight model, supporting Chinese, English, multilingual text recognition|[ch_PP-OCRv2_rec_distillation.yml](../../configs/rec/ch_PP-OCRv2/ch_PP-OCRv2_rec_distillation.yml)|8.5M|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_train.tar) | |ch_ppocr_mobile_slim_v2.0_rec|Slim pruned and quantized lightweight model, supporting Chinese, English and number recognition|[rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)| 6M | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_train.tar) | |ch_ppocr_mobile_v2.0_rec|Original lightweight model, supporting Chinese, English and number recognition|[rec_chinese_lite_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml)|5.2M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) | |ch_ppocr_server_v2.0_rec|General model, supporting Chinese, English and number recognition|[rec_chinese_common_train_v2.0.yml](../../configs/rec/ch_ppocr_v2.0/rec_chinese_common_train_v2.0.yml)|94.8M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) | diff --git a/ppstructure/README.md b/ppstructure/README.md index 1d201a7c6e54f6ed71be6d1872b7f4b226ad35ad..b4c1ec8d828fd521601c97f9f5d0754eecd13152 100644 --- a/ppstructure/README.md +++ b/ppstructure/README.md @@ -1,16 +1,18 @@ English | [简体中文](README_ch.md) -- [1. Introduction](#1) -- [2. Update log](#2) -- [3. Features](#3) -- [4. Results](#4) - * [4.1 Layout analysis and table recognition](#41) - * [4.2 DOC-VQA](#42) -- [5. Quick start](#5) -- [6. PP-Structure System](#6) - * [6.1 Layout analysis and table recognition](#61) - * [6.2 DOC-VQA](#62) -- [7. Model List](#7) +- [1. Introduction](#1-introduction) +- [2. Update log](#2-update-log) +- [3. Features](#3-features) +- [4. Results](#4-results) + - [4.1 Layout analysis and table recognition](#41-layout-analysis-and-table-recognition) + - [4.2 DOC-VQA](#42-doc-vqa) +- [5. Quick start](#5-quick-start) +- [6. PP-Structure System](#6-pp-structure-system) + - [6.1 Layout analysis and table recognition](#61-layout-analysis-and-table-recognition) + - [6.1.1 Layout analysis](#611-layout-analysis) + - [6.1.2 Table recognition](#612-table-recognition) + - [6.2 DOC-VQA](#62-doc-vqa) +- [7. Model List](#7-model-list) @@ -54,8 +56,8 @@ The figure shows the pipeline of layout analysis + table recognition. The image ### 4.2 DOC-VQA * SER - -![](./vqa/images/result_ser/zh_val_0_ser.jpg) | ![](./vqa/images/result_ser/zh_val_42_ser.jpg) +* +![](../doc/vqa/result_ser/zh_val_0_ser.jpg) | ![](../doc/vqa/result_ser/zh_val_42_ser.jpg) ---|--- Different colored boxes in the figure represent different categories. For xfun dataset, there are three categories: query, answer and header: @@ -69,7 +71,7 @@ The corresponding category and OCR recognition results are also marked at the to * RE -![](./vqa/images/result_re/zh_val_21_re.jpg) | ![](./vqa/images/result_re/zh_val_40_re.jpg) +![](../doc/vqa/result_re/zh_val_21_re.jpg) | ![](../doc/vqa/result_re/zh_val_40_re.jpg) ---|--- @@ -96,7 +98,7 @@ In PP-Structure, the image will be divided into 5 types of areas **text, title, #### 6.1.1 Layout analysis -Layout analysis classifies image by region, including the use of Python scripts of layout analysis tools, extraction of designated category detection boxes, performance indicators, and custom training layout analysis models. For details, please refer to [document](layout/README_en.md). +Layout analysis classifies image by region, including the use of Python scripts of layout analysis tools, extraction of designated category detection boxes, performance indicators, and custom training layout analysis models. For details, please refer to [document](layout/README.md). #### 6.1.2 Table recognition diff --git a/ppstructure/README_ch.md b/ppstructure/README_ch.md index 808a5c68d18df625bedeae4706da7f985d6caecd..a449028dff29739e621bfa2aa77eac63b43e6c84 100644 --- a/ppstructure/README_ch.md +++ b/ppstructure/README_ch.md @@ -1,16 +1,18 @@ [English](README.md) | 简体中文 -- [1. 简介](#1) -- [2. 近期更新](#2) -- [3. 特性](#3) -- [4. 效果展示](#4) - * [4.1 版面分析和表格识别](#41) - * [4.2 DOC-VQA](#42) -- [5. 快速体验](#5) -- [6. PP-Structure 介绍](#6) - * [6.1 版面分析+表格识别](#61) - * [6.2 DOC-VQA](#62) -- [7. 模型库](#7) +- [1. 简介](#1-简介) +- [2. 近期更新](#2-近期更新) +- [3. 特性](#3-特性) +- [4. 效果展示](#4-效果展示) + - [4.1 版面分析和表格识别](#41-版面分析和表格识别) + - [4.2 DOC-VQA](#42-doc-vqa) +- [5. 快速体验](#5-快速体验) +- [6. PP-Structure 介绍](#6-pp-structure-介绍) + - [6.1 版面分析+表格识别](#61-版面分析表格识别) + - [6.1.1 版面分析](#611-版面分析) + - [6.1.2 表格识别](#612-表格识别) + - [6.2 DOC-VQA](#62-doc-vqa) +- [7. 模型库](#7-模型库) @@ -54,7 +56,7 @@ PP-Structure的主要特性如下： * SER -![](./vqa/images/result_ser/zh_val_0_ser.jpg) | ![](./vqa/images/result_ser/zh_val_42_ser.jpg) +![](../doc/vqa/result_ser/zh_val_0_ser.jpg) | ![](../doc/vqa/result_ser/zh_val_42_ser.jpg) ---|--- 图中不同颜色的框表示不同的类别，对于XFUN数据集，有`QUESTION`, `ANSWER`, `HEADER` 3种类别 @@ -67,7 +69,7 @@ PP-Structure的主要特性如下： * RE -![](./vqa/images/result_re/zh_val_21_re.jpg) | ![](./vqa/images/result_re/zh_val_40_re.jpg) +![](../doc/vqa/result_re/zh_val_21_re.jpg) | ![](../doc/vqa/result_re/zh_val_40_re.jpg) ---|--- @@ -134,4 +136,4 @@ PP-Structure系列模型列表（更新中） |PP-Layout_v1.0_re_pretrained|基于LayoutXLM在xfun中文数据集上训练的RE模型|1.4G|[推理模型 coming soon]() / [训练模型](https://paddleocr.bj.bcebos.com/pplayout/PP-Layout_v1.0_re_pretrained.tar) | -更多模型下载，可以参考 [PPOCR model_list](../doc/doc_en/models_list.md) and [PPStructure model_list](./docs/model_list.md) \ No newline at end of file +更多模型下载，可以参考 [PPOCR model_list](../doc/doc_en/models_list.md) and [PPStructure model_list](./docs/model_list.md)