Merge pull request #3989 from Evezerest/2.3

Update models_list and inference_ppocr

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)
 
 <a name="文本检测模型推理"></a>

doc/doc_ch/models_list.md

-## 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
 
 
 <a name="文本检测模型"></a>
-### 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
 
 
 <a name="文本识别模型"></a>
-### 二、文本识别模型
+## 2. 文本识别模型
 
 <a name="中文识别模型"></a>
-#### 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。
 
 <a name="英文识别模型"></a>
-#### 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) |
 
 <a name="多语言识别模型"></a>
-#### 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
 
 
 <a name="文本方向分类模型"></a>
-### 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
 
 
 <a name="Paddle-Lite模型"></a>
-### 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|
 |---|---|---|---|---|---|---|

doc/doc_en/inference_ppocr_en.md

@@ -5,13 +5,10 @@ This article introduces the use of the Python inference engine for the PP-OCR mo
 
 
 - [Text Detection Model Inference](#DETECTION_MODEL_INFERENCE)
-
 - [Text Recognition Model Inference](#RECOGNITION_MODEL_INFERENCE)
     - [1. Lightweight Chinese Recognition Model Inference](#LIGHTWEIGHT_RECOGNITION)
     - [2. Multilingaul Model Inference](#MULTILINGUAL_MODEL_INFERENCE)
-
 - [Angle Classification Model Inference](#ANGLE_CLASS_MODEL_INFERENCE)
-
 - [Text Detection Angle Classification and Recognition Inference Concatenation](#CONCATENATION)
 
 <a name="DETECTION_MODEL_INFERENCE"></a>

doc/doc_en/models_list_en.md

-## 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)
 
 <a name="Detection"></a>
-### 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)|
 
 <a name="Recognition"></a>
-### 2. Text Recognition Model
+## 2. Text Recognition Model
 
 <a name="Chinese"></a>
-#### 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.
 
 <a name="English"></a>
-#### 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) |
 
 <a name="Multilingual"></a>
-#### 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
 
 
 <a name="Angle"></a>
-### 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) |
 
 <a name="Paddle-Lite"></a>
-### 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|