From d10b11ae9792ec2d293dbd90a6d5cc19304d51d2 Mon Sep 17 00:00:00 2001 From: Leif <4603009@qq.com> Date: Thu, 9 Sep 2021 10:18:56 +0800 Subject: [PATCH] Update models_list Update models_list --- doc/doc_ch/inference_ppocr.md | 3 --- doc/doc_ch/models_list.md | 31 ++++++++++++++++--------------- doc/doc_en/models_list_en.md | 22 +++++++++++----------- 3 files changed, 27 insertions(+), 29 deletions(-) diff --git a/doc/doc_ch/inference_ppocr.md b/doc/doc_ch/inference_ppocr.md index c33401dc..ee1103d7 100644 --- a/doc/doc_ch/inference_ppocr.md +++ b/doc/doc_ch/inference_ppocr.md @@ -4,13 +4,10 @@ - [1. 文本检测模型推理](#文本检测模型推理) - - [2. 文本识别模型推理](#文本识别模型推理) - [2.1 超轻量中文识别模型推理](#超轻量中文识别模型推理) - [2.2 多语言模型的推理](#多语言模型的推理) - - [3. 方向分类模型推理](#方向分类模型推理) - - [4. 文本检测、方向分类和文字识别串联推理](#文本检测、方向分类和文字识别串联推理) diff --git a/doc/doc_ch/models_list.md b/doc/doc_ch/models_list.md index 2f91e91c..31ab6a2c 100644 --- a/doc/doc_ch/models_list.md +++ b/doc/doc_ch/models_list.md @@ -1,4 +1,4 @@ -## OCR模型列表（V2.1，2021年9月6日更新） +# OCR模型列表（V2.1，2021年9月6日更新） > **说明** > 1. 2.1版模型相比2.0版模型，2.1的模型在模型精度上做了提升 @@ -6,13 +6,13 @@ > 3. 本文档提供的是PPOCR自研模型列表，更多基于公开数据集的算法介绍与预训练模型可以参考：[算法概览文档](./algorithm_overview.md)。 -- [一、文本检测模型](#文本检测模型) -- [二、文本识别模型](#文本识别模型) - - [1. 中文识别模型](#中文识别模型) - - [2. 英文识别模型](#英文识别模型) - - [3. 多语言识别模型](#多语言识别模型) -- [三、文本方向分类模型](#文本方向分类模型) -- [四、Paddle-Lite 模型](#Paddle-Lite模型) +- [1. 文本检测模型](#文本检测模型) +- [2. 文本识别模型](#文本识别模型) + - [2.1 中文识别模型](#中文识别模型) + - [2.2 英文识别模型](#英文识别模型) + - [2.3 多语言识别模型](#多语言识别模型) +- [3. 文本方向分类模型](#文本方向分类模型) +- [4. Paddle-Lite 模型](#Paddle-Lite模型) PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训练模型`、`slim模型`，模型区别说明如下： @@ -29,7 +29,7 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 -### 一、文本检测模型 +## 1. 文本检测模型 |模型名称|模型简介|配置文件|推理模型大小|下载地址| | --- | --- | --- | --- | --- | @@ -41,10 +41,11 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 -### 二、文本识别模型 +## 2. 文本识别模型 -#### 1. 中文识别模型 + +### 2.1 中文识别模型 |模型名称|模型简介|配置文件|推理模型大小|下载地址| | --- | --- | --- | --- | --- | @@ -57,7 +58,7 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 **说明：** `训练模型`是基于预训练模型在真实数据与竖排合成文本数据上finetune得到的模型，在真实应用场景中有着更好的表现，`预训练模型`则是直接基于全量真实数据与合成数据训练得到，更适合用于在自己的数据集上finetune。 -#### 2. 英文识别模型 +### 2.2 英文识别模型 |模型名称|模型简介|配置文件|推理模型大小|下载地址| | --- | --- | --- | --- | --- | @@ -65,7 +66,7 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 |en_number_mobile_v2.0_rec|原始超轻量模型，支持英文、数字识别|[rec_en_number_lite_train.yml](../../configs/rec/multi_language/rec_en_number_lite_train.yml)|2.6M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_train.tar) | -#### 3. 多语言识别模型（更多语言持续更新中...） +### 2.3 多语言识别模型（更多语言持续更新中...） |模型名称|字典文件|模型简介|配置文件|推理模型大小|下载地址| | --- | --- | --- | --- |--- | --- | @@ -86,7 +87,7 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 -### 三、文本方向分类模型 +## 3. 文本方向分类模型 |模型名称|模型简介|配置文件|推理模型大小|下载地址| | --- | --- | --- | --- | --- | @@ -95,7 +96,7 @@ PaddleOCR提供的可下载模型包括`推理模型`、`训练模型`、`预训 -### 四、Paddle-Lite 模型 +## 4. Paddle-Lite 模型 |模型版本|模型简介|模型大小|检测模型|文本方向分类模型|识别模型|Paddle-Lite版本| |---|---|---|---|---|---|---| diff --git a/doc/doc_en/models_list_en.md b/doc/doc_en/models_list_en.md index 41fd47f5..dbb48602 100644 --- a/doc/doc_en/models_list_en.md +++ b/doc/doc_en/models_list_en.md @@ -1,4 +1,4 @@ -## OCR model list（V2.1, updated on 2021.9.6） +# OCR Model List（V2.1, updated on 2021.9.6） > **Note** > 1. Compared with the model v2.0, the 2.1 version of the detection model has a improvement in accuracy, and the 2.1 version of the recognition model is optimized in accuracy and CPU speed. > 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. @@ -6,9 +6,9 @@ - [1. Text Detection Model](#Detection) - [2. Text Recognition Model](#Recognition) - - [Chinese Recognition Model](#Chinese) - - [English Recognition Model](#English) - - [Multilingual Recognition Model](#Multilingual) + - [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) @@ -25,7 +25,7 @@ Relationship of the above models is as follows. ![](../imgs_en/model_prod_flow_en.png) -### 1. Text Detection Model +## 1. Text Detection Model |model name|description|config|model size|download| | --- | --- | --- | --- | --- | @@ -36,10 +36,10 @@ Relationship of the above models is as follows. |ch_ppocr_server_v2.0_det|General model, which is larger than the lightweight model, but achieved better performance|[ch_det_res18_db_v2.0.yml](../../configs/det/ch_ppocr_v2.0/ch_det_res18_db_v2.0.yml)|47M|[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)| -### 2. Text Recognition Model +## 2. Text Recognition Model -#### Chinese Recognition Model +### 2.1 Chinese Recognition Model |model name|description|config|model size|download| | --- | --- | --- | --- | --- | @@ -53,7 +53,7 @@ Relationship of the above models is as follows. **Note:** The `trained model` is finetuned on the `pre-trained model` with real data and synthsized vertical text data, which achieved better performance in real scene. The `pre-trained model` is directly trained on the full amount of real data and synthsized data, which is more suitable for finetune on your own dataset. -#### English Recognition Model +### 2.2 English Recognition Model |model name|description|config|model size|download| | --- | --- | --- | --- | --- | @@ -61,7 +61,7 @@ Relationship of the above models is as follows. |en_number_mobile_v2.0_rec|Original lightweight model, supporting English and number recognition|[rec_en_number_lite_train.yml](../../configs/rec/multi_language/rec_en_number_lite_train.yml)|2.6M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/en_number_mobile_v2.0_rec_train.tar) | -#### Multilingual Recognition Model（Updating...） +### 2.3 Multilingual Recognition Model（Updating...） |model name| dict file | description|config|model size|download| | --- | --- | --- |--- | --- | --- | @@ -82,7 +82,7 @@ For more supported languages, please refer to : [Multi-language model](./multi_l -### 3. Text Angle Classification Model +## 3. Text Angle Classification Model |model name|description|config|model size|download| | --- | --- | --- | --- | --- | @@ -90,7 +90,7 @@ For more supported languages, please refer to : [Multi-language model](./multi_l |ch_ppocr_mobile_v2.0_cls|Original model for text angle classification|[cls_mv3.yml](../../configs/cls/cls_mv3.yml)|1.38M|[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) | -### 4. Paddle-Lite Model +## 4. Paddle-Lite Model |Version|Introduction|Model size|Detection model|Text Direction model|Recognition model|Paddle-Lite branch| |---|---|---|---|---|---|---| |PP-OCRv2|extra-lightweight chinese OCR optimized model|11M|[download link](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer_opt.nb)|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_cls_opt.nb)|[download link](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer_opt.nb)|v2.9|