rename pphuman docs

zhiboniu · zhiboniu · commit c010cc3b9c41 · 2022-08-03T13:18:10.000Z
diff --git a/README_cn.md b/README_cn.md
@@ -423,9 +423,9 @@
   - 二次开发教程
     - [目标检测](docs/advanced_tutorials/customization/detection.md)
     - [关键点检测](docs/advanced_tutorials/customization/keypoint_detection.md)
-    - [多目标跟踪](docs/advanced_tutorials/customization/mot.md)
-    - [行为识别](docs/advanced_tutorials/customization/action.md)
-    - [属性识别](docs/advanced_tutorials/customization/attribute.md)
+    - [多目标跟踪](docs/advanced_tutorials/customization/pphuman_mot.md)
+    - [行为识别](docs/advanced_tutorials/customization/pphuman_action.md)
+    - [属性识别](docs/advanced_tutorials/customization/pphuman_attribute.md)
 
 ### 课程专栏
 
diff --git a/README_en.md b/README_en.md
@@ -418,9 +418,9 @@ The comparison between COCO mAP and FPS on Qualcomm Snapdragon 865 processor of
   - Custumization
     - [Object detection](docs/advanced_tutorials/customization/detection.md)
     - [Keypoint detection](docs/advanced_tutorials/customization/keypoint_detection.md)
-    - [Multiple object tracking](docs/advanced_tutorials/customization/mot.md)
-    - [Action recognition](docs/advanced_tutorials/customization/action.md)
-    - [Attribute recognition](docs/advanced_tutorials/customization/attribute.md)
+    - [Multiple object tracking](docs/advanced_tutorials/customization/pphuman_mot.md)
+    - [Action recognition](docs/advanced_tutorials/customization/pphuman_action.md)
+    - [Attribute recognition](docs/advanced_tutorials/customization/pphuman_attribute.md)
 
 ### Courses
 
diff --git a/configs/mot/ocsort/README.md b/configs/mot/ocsort/README.md
@@ -26,7 +26,7 @@
   - **mix_mot_ch**数据集，是MOT17、CrowdHuman组成的联合数据集，**mix_det**是MOT17、CrowdHuman、Cityscapes、ETHZ组成的联合数据集，数据集整理的格式和目录可以参考[此链接](https://github.com/ifzhang/ByteTrack#data-preparation)，最终放置于`dataset/mot/`目录下。为了验证精度可以都用**MOT17-half val**数据集去评估。
   - OC_SORT的训练是单独的检测器训练MOT数据集，推理是组装跟踪器去评估MOT指标，单独的检测模型也可以评估检测指标。
   - OC_SORT的导出部署，是单独导出检测模型，再组装跟踪器运行的，参照[PP-Tracking](../../../deploy/pptracking/python)。
-  - OC_SORT是PP-Human和PP-Vehicle等Pipeline分析项目跟踪方向的主要方案，具体使用参照[Pipeline](../../../deploy/pipeline)和[MOT](../../../deploy/pipeline/docs/tutorials/mot.md)。
+  - OC_SORT是PP-Human和PP-Vehicle等Pipeline分析项目跟踪方向的主要方案，具体使用参照[Pipeline](../../../deploy/pipeline)和[MOT](../../../deploy/pipeline/docs/tutorials/pphuman_mot.md)。
 
 
 ## 快速开始
diff --git a/configs/pphuman/README.md b/configs/pphuman/README.md
@@ -17,7 +17,7 @@ PaddleDetection团队提供了针对行人的基于PP-YOLOE的检测模型，用
 
 
 # PP-YOLOE 香烟检测模型
-基于PP-YOLOE模型的香烟检测模型，是实现PP-Human中的基于检测的行为识别方案的一环，如何在PP-Human中使用该模型进行吸烟行为识别，可参考[PP-Human行为识别模块](../../deploy/pipeline/docs/tutorials/action.md)。该模型检测类别仅包含香烟一类。由于数据来源限制，目前暂无法直接公开训练数据。该模型使用了小目标数据集VisDrone上的权重(参照[visdrone](../visdrone))作为预训练模型，以提升检测效果。
+基于PP-YOLOE模型的香烟检测模型，是实现PP-Human中的基于检测的行为识别方案的一环，如何在PP-Human中使用该模型进行吸烟行为识别，可参考[PP-Human行为识别模块](../../deploy/pipeline/docs/tutorials/pphuman_action.md)。该模型检测类别仅包含香烟一类。由于数据来源限制，目前暂无法直接公开训练数据。该模型使用了小目标数据集VisDrone上的权重(参照[visdrone](../visdrone))作为预训练模型，以提升检测效果。
 
 |    模型   |  数据集  | mAP<sup>val<br>0.5:0.95 |  mAP<sup>val<br>0.5 | 下载  | 配置文件 |
 |:---------|:-------:|:------:|:------:| :----: | :------:|
diff --git a/deploy/pipeline/README.md b/deploy/pipeline/README.md
@@ -74,15 +74,15 @@ PP-Human支持图片/单镜头视频/多镜头视频多种输入方式，功能
 
 ### 行人属性/特征识别
 
-* [快速开始](docs/tutorials/attribute.md)
-* [二次开发教程](../../docs/advanced_tutorials/customization/attribute.md)
+* [快速开始](docs/tutorials/pphuman_attribute.md)
+* [二次开发教程](../../docs/advanced_tutorials/customization/pphuman_attribute.md)
   * 数据准备
   * 模型优化
   * 新增属性
 
 ### 行为识别
 
-* [快速开始](docs/tutorials/action.md)
+* [快速开始](docs/tutorials/pphuman_action.md)
   * 摔倒检测
   * 打架识别
 * [二次开发教程](../../docs/advanced_tutorials/customization/action_recognotion/README.md)
@@ -93,17 +93,17 @@ PP-Human支持图片/单镜头视频/多镜头视频多种输入方式，功能
 
 ### 跨镜跟踪ReID
 
-* [快速开始](docs/tutorials/mtmct.md)
-* [二次开发教程](../../docs/advanced_tutorials/customization/mtmct.md)
+* [快速开始](docs/tutorials/pphuman_mtmct.md)
+* [二次开发教程](../../docs/advanced_tutorials/customization/pphuman_mtmct.md)
   * 数据准备
   * 模型优化
 
 ### 行人跟踪、人流量计数与轨迹记录
 
-* [快速开始](docs/tutorials/mot.md)
+* [快速开始](docs/tutorials/pphuman_mot.md)
   * 行人跟踪
   * 人流量计数与轨迹记录
   * 区域闯入判断和计数
-* [二次开发教程](../../docs/advanced_tutorials/customization/mot.md)
+* [二次开发教程](../../docs/advanced_tutorials/customization/pphuman_mot.md)
   * 数据准备
   * 模型优化
diff --git a/deploy/pipeline/README_en.md b/deploy/pipeline/README_en.md
@@ -78,15 +78,15 @@ Click to download the model, then unzip and save it in the `. /output_inference`
 
 ### Pedestrian attribute/feature recognition
 
-* [A quick start](docs/tutorials/attribute.md)
-* [Customized development tutorials](../../docs/advanced_tutorials/customization/attribute.md)
+* [A quick start](docs/tutorials/pphuman_attribute.md)
+* [Customized development tutorials](../../docs/advanced_tutorials/customization/pphuman_attribute.md)
   * Data Preparation
   * Model Optimization
   * New Attributes
 
 ### Behavior detection
 
-* [A quick start](docs/tutorials/action.md)
+* [A quick start](docs/tutorials/pphuman_action.md)
   * Falling detection
   * Fighting detection
 * [Customized development tutorials](../../docs/advanced_tutorials/customization/action_recognotion/README.md)
@@ -97,17 +97,17 @@ Click to download the model, then unzip and save it in the `. /output_inference`
 
 ### ReID
 
-* [A quick start](docs/tutorials/mtmct.md)
-* [Customized development tutorials](../../docs/advanced_tutorials/customization/mtmct.md)
+* [A quick start](docs/tutorials/pphuman_mtmct.md)
+* [Customized development tutorials](../../docs/advanced_tutorials/customization/pphuman_mtmct.md)
   * Data Preparation
   * Model Optimization
 
 ### Pedestrian tracking, visitor traffic statistics, trace records
 
-* [A quick start](docs/tutorials/mot.md)
+* [A quick start](docs/tutorials/pphuman_mot.md)
   * Pedestrian tracking,
   * Visitor traffic statistics
   * Regional intrusion diagnosis and counting
-* [Customized development tutorials](../../docs/advanced_tutorials/customization/mot.md)
+* [Customized development tutorials](../../docs/advanced_tutorials/customization/pphuman_mot.md)
   * Data Preparation
   * Model Optimization
diff --git a/deploy/pipeline/docs/tutorials/QUICK_STARTED.md b/deploy/pipeline/docs/tutorials/QUICK_STARTED.md
@@ -159,29 +159,29 @@ PP-Human v2整体方案如下图所示:
 
 ### 行人检测
 - 采用PP-YOLOE L 作为目标检测模型
-- 详细文档参考[PP-YOLOE](../../../../configs/ppyoloe/)和[检测跟踪文档](mot.md)
+- 详细文档参考[PP-YOLOE](../../../../configs/ppyoloe/)和[检测跟踪文档](pphuman_mot.md)
 
 ### 行人跟踪
 - 采用SDE方案完成行人跟踪
 - 检测模型使用PP-YOLOE L(高精度)和S(轻量级)
 - 跟踪模块采用OC-SORT方案
-- 详细文档参考[OC-SORT](../../../../configs/mot/ocsort)和[检测跟踪文档](mot.md)
+- 详细文档参考[OC-SORT](../../../../configs/mot/ocsort)和[检测跟踪文档](pphuman_mot.md)
 
 ### 跨镜行人跟踪
 - 使用PP-YOLOE + OC-SORT得到单镜头多目标跟踪轨迹
 - 使用ReID（StrongBaseline网络）对每一帧的检测结果提取特征
 - 多镜头轨迹特征进行匹配，得到跨镜头跟踪结果
-- 详细文档参考[跨镜跟踪](mtmct.md)
+- 详细文档参考[跨镜跟踪](pphuman_mtmct.md)
 
 ### 属性识别
 - 使用PP-YOLOE + OC-SORT跟踪人体
 - 使用StrongBaseline（多分类模型）完成识别属性，主要属性包括年龄、性别、帽子、眼睛、上衣下衣款式、背包等
-- 详细文档参考[属性识别](attribute.md)
+- 详细文档参考[属性识别](pphuman_attribute.md)
 
 ### 行为识别：
 - 提供四种行为识别方案
 - 1. 基于骨骼点的行为识别，例如摔倒识别
 - 2. 基于图像分类的行为识别，例如打电话识别
 - 3. 基于检测的行为识别，例如吸烟识别
 - 4. 基于视频分类的行为识别，例如打架识别
-- 详细文档参考[行为识别](action.md)
+- 详细文档参考[行为识别](pphuman_action.md)
diff --git a/deploy/pipeline/docs/tutorials/pphuman_action.md b/deploy/pipeline/docs/tutorials/pphuman_action.md
@@ -1,4 +1,4 @@
-[English](action_en.md) | 简体中文
+[English](pphuman_action_en.md) | 简体中文
 
 # PP-Human行为识别模块
 
@@ -202,7 +202,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pph
   <img src="https://user-images.githubusercontent.com/22989727/178769370-03ab1965-cfd1-401b-9902-82620a06e43c.gif" width='1000'/>
 </div>
 
-具体使用请参照[PP-Human检测跟踪模块](mot.md)的`5. 区域闯入判断和计数`。
+具体使用请参照[PP-Human检测跟踪模块](pphuman_mot.md)的`5. 区域闯入判断和计数`。
 
 ### 方案说明
 1. 使用多目标跟踪获取视频输入中的行人检测框及跟踪ID序号，模型方案为PP-YOLOE，详细文档参考[PP-YOLOE](../../../../configs/ppyoloe/README_cn.md)，跟踪方案为OC-SORT，详细文档参考[OC-SORT](../../../../configs/mot/ocsort)。
diff --git a/deploy/pipeline/docs/tutorials/pphuman_action_en.md b/deploy/pipeline/docs/tutorials/pphuman_action_en.md
@@ -1,4 +1,4 @@
-English | [简体中文](action.md)
+English | [简体中文](pphuman_action.md)
 
 # Action Recognition Module of PP-Human
 
diff --git a/deploy/pipeline/docs/tutorials/pphuman_attribute.md b/deploy/pipeline/docs/tutorials/pphuman_attribute.md
@@ -1,4 +1,4 @@
-[English](attribute_en.md) | 简体中文
+[English](pphuman_attribute_en.md) | 简体中文
 
 # PP-Human属性识别模块
 
@@ -15,7 +15,7 @@
 1. 检测/跟踪模型精度为[MOT17](https://motchallenge.net/)，[CrowdHuman](http://www.crowdhuman.org/)，[HIEVE](http://humaninevents.org/)和部分业务数据融合训练测试得到。
 2. 行人属性分析精度为[PA100k](https://github.com/xh-liu/HydraPlus-Net#pa-100k-dataset)，[RAPv2](http://www.rapdataset.com/rapv2.html)，[PETA](http://mmlab.ie.cuhk.edu.hk/projects/PETA.html)和部分业务数据融合训练测试得到
 3. 预测速度为V100 机器上使用TensorRT FP16时的速度, 该处测速速度为模型预测速度
-4. 属性模型应用依赖跟踪模型结果，请在[跟踪模型页面](./mot.md)下载跟踪模型，依自身需求选择高精或轻量级下载。
+4. 属性模型应用依赖跟踪模型结果，请在[跟踪模型页面](./pphuman_mot.md)下载跟踪模型，依自身需求选择高精或轻量级下载。
 5. 模型下载后解压放置在PaddleDetection/output_inference/目录下。
 
 ## 使用方法
diff --git a/deploy/pipeline/docs/tutorials/pphuman_attribute_en.md b/deploy/pipeline/docs/tutorials/pphuman_attribute_en.md
@@ -1,4 +1,4 @@
-English | [简体中文](attribute.md)
+English | [简体中文](pphuman_attribute.md)
 
 # Attribute Recognition Modules of PP-Human
 
@@ -12,7 +12,7 @@ Pedestrian attribute recognition has been widely used in the intelligent communi
 
 1. The precision of pedestiran attribute analysis is obtained by training and testing on the dataset consist of [PA100k](https://github.com/xh-liu/HydraPlus-Net#pa-100k-dataset)，[RAPv2](http://www.rapdataset.com/rapv2.html)，[PETA](http://mmlab.ie.cuhk.edu.hk/projects/PETA.html) and some business data.
 2. The inference speed is V100, the speed of using TensorRT FP16.
-3. This model of Attribute is based on the result of tracking, please download tracking model in the [Page of Mot](./mot_en.md). The High precision and Faster model are both available.
+3. This model of Attribute is based on the result of tracking, please download tracking model in the [Page of Mot](./pphuman_mot_en.md). The High precision and Faster model are both available.
 4. You should place the model unziped in the directory of `PaddleDetection/output_inference/`.
 
 ## Instruction
diff --git a/deploy/pipeline/docs/tutorials/pphuman_mot.md b/deploy/pipeline/docs/tutorials/pphuman_mot.md
@@ -1,4 +1,4 @@
-[English](mot_en.md) | 简体中文
+[English](pphuman_mot_en.md) | 简体中文
 
 # PP-Human检测跟踪模块
 
diff --git a/deploy/pipeline/docs/tutorials/pphuman_mot_en.md b/deploy/pipeline/docs/tutorials/pphuman_mot_en.md
@@ -1,4 +1,4 @@
-English | [简体中文](mot.md)
+English | [简体中文](pphuman_mot.md)
 
 # Detection and Tracking Module of PP-Human
 
diff --git a/deploy/pipeline/docs/tutorials/pphuman_mtmct.md b/deploy/pipeline/docs/tutorials/pphuman_mtmct.md
@@ -1,4 +1,4 @@
-[English](mtmct_en.md) | 简体中文
+[English](pphuman_mtmct_en.md) | 简体中文
 
 # PP-Human跨镜头跟踪模块
 
@@ -7,7 +7,7 @@ PP-Human跨镜头跟踪模块主要目的在于提供一套简洁、高效的跨
 
 ## 使用方法
 
-1. 下载模型 [行人跟踪](https://bj.bcebos.com/v1/paddledet/models/pipeline/mot_ppyoloe_l_36e_pipeline.zip)和[REID模型](https://bj.bcebos.com/v1/paddledet/models/pipeline/reid_model.zip) 并解压到```./output_inference```路径下，修改配置文件中模型路径。也可简单起见直接用默认配置，自动下载模型。 MOT模型请参考[mot说明](./mot.md)文件下载。
+1. 下载模型 [行人跟踪](https://bj.bcebos.com/v1/paddledet/models/pipeline/mot_ppyoloe_l_36e_pipeline.zip)和[REID模型](https://bj.bcebos.com/v1/paddledet/models/pipeline/reid_model.zip) 并解压到```./output_inference```路径下，修改配置文件中模型路径。也可简单起见直接用默认配置，自动下载模型。 MOT模型请参考[mot说明](./pphuman_mot.md)文件下载。
 
 2. 跨镜头跟踪模式下，要求输入的多个视频放在同一目录下，同时开启infer_cfg_pphuman.yml 中的REID选择中的enable=True, 命令如下：
 ```python
diff --git a/deploy/pipeline/docs/tutorials/pphuman_mtmct_en.md b/deploy/pipeline/docs/tutorials/pphuman_mtmct_en.md
@@ -1,4 +1,4 @@
-English | [简体中文](mtmct.md)
+English | [简体中文](pphuman_mtmct.md)
 
 # Multi-Target Multi-Camera Tracking Module of PP-Human
 
@@ -7,7 +7,7 @@ The MTMCT module of PP-Human aims to provide a multi-target multi-camera pipleli
 
 ## How to Use
 
-1. Download [REID model](https://bj.bcebos.com/v1/paddledet/models/pipeline/reid_model.zip) and unzip it to ```./output_inference```. For the MOT model, please refer to [mot description](./mot.md).
+1. Download [REID model](https://bj.bcebos.com/v1/paddledet/models/pipeline/reid_model.zip) and unzip it to ```./output_inference```. For the MOT model, please refer to [mot description](./pphuman_mot.md).
 
 2. In the MTMCT mode, input videos are required to be put in the same directory. set the REID "enable: True" in the infer_cfg_pphuman.yml. The command line is:
 ```python
diff --git a/deploy/pipeline/docs/tutorials/ppvehicle_attr.md b/deploy/pipeline/docs/tutorials/ppvehicle_attr.md
diff --git a/deploy/pipeline/docs/tutorials/ppvehicle_plate.md b/deploy/pipeline/docs/tutorials/ppvehicle_plate.md
diff --git a/deploy/pipeline/docs/tutorials/ppvehicle_tracking.md b/deploy/pipeline/docs/tutorials/ppvehicle_tracking.md
diff --git a/docs/advanced_tutorials/customization/action_recognotion/README.md b/docs/advanced_tutorials/customization/action_recognotion/README.md
@@ -50,5 +50,5 @@
 1. [基于人体id检测的行为识别](./idbased_det.md)
 2. [基于人体id分类的行为识别](./idbased_clas.md)
 3. [基于人体骨骼点的行为识别](./skeletonbased_rec.md)
-4. [基于人体id跟踪的行为识别](../mot.md)
+4. [基于人体id跟踪的行为识别](../pphuman_mot.md)
 5. [基于视频分类的行为识别](./videobased_rec.md)
diff --git a/docs/advanced_tutorials/customization/action_recognotion/README_en.md b/docs/advanced_tutorials/customization/action_recognotion/README_en.md
@@ -51,5 +51,5 @@ The following are detailed description for the five major categories of solution
 1. [action recognition based on detection with human id.](./idbased_det_en.md)
 2. [action recognition based on classification with human id.](./idbased_clas_en.md)
 3. [action recognition based on skelenton.](./skeletonbased_rec_en.md)
-4. [action recognition based on tracking with human id](../mot_en.md)
+4. [action recognition based on tracking with human id](../pphuman_mot_en.md)
 5. [action recognition based on video classification](./videobased_rec_en.md)
diff --git a/docs/advanced_tutorials/customization/action_recognotion/idbased_clas.md b/docs/advanced_tutorials/customization/action_recognotion/idbased_clas.md
@@ -53,7 +53,7 @@ data/
 ## 模型优化
 
 ### 检测-跟踪模型优化
-基于分类的行为识别模型效果依赖于前序的检测和跟踪效果，如果实际场景中不能准确检测到行人位置，或是难以正确在不同帧之间正确分配人物ID，都会使行为识别部分表现受限。如果在实际使用中遇到了上述问题，请参考[目标检测任务二次开发](../detection.md)以及[多目标跟踪任务二次开发](../mot.md)对检测/跟踪模型进行优化。
+基于分类的行为识别模型效果依赖于前序的检测和跟踪效果，如果实际场景中不能准确检测到行人位置，或是难以正确在不同帧之间正确分配人物ID，都会使行为识别部分表现受限。如果在实际使用中遇到了上述问题，请参考[目标检测任务二次开发](../detection.md)以及[多目标跟踪任务二次开发](../pphuman_mot.md)对检测/跟踪模型进行优化。
 
 
 ### 半身图预测
diff --git a/docs/advanced_tutorials/customization/action_recognotion/idbased_clas_en.md b/docs/advanced_tutorials/customization/action_recognotion/idbased_clas_en.md
@@ -54,7 +54,7 @@ data/
 ## Model Optimization
 
 ### Detection-Tracking Model Optimization
-The performance of action recognition based on classification with human id depends on the pre-order detection and tracking models. If the pedestrian location cannot be accurately detected in the actual scene, or it is difficult to correctly assign the person ID between different frames, the performance of the action recognition part will be limited. If you encounter the above problems in actual use, please refer to [Secondary Development of Detection Task](../detection_en.md) and [Secondary Development of Multi-target Tracking Task](../mot_en.md) for detection/track model optimization.
+The performance of action recognition based on classification with human id depends on the pre-order detection and tracking models. If the pedestrian location cannot be accurately detected in the actual scene, or it is difficult to correctly assign the person ID between different frames, the performance of the action recognition part will be limited. If you encounter the above problems in actual use, please refer to [Secondary Development of Detection Task](../detection_en.md) and [Secondary Development of Multi-target Tracking Task](../pphuman_mot_en.md) for detection/track model optimization.
 
 
 ### Half-Body Prediction
diff --git a/docs/advanced_tutorials/customization/action_recognotion/idbased_det.md b/docs/advanced_tutorials/customization/action_recognotion/idbased_det.md
@@ -15,7 +15,7 @@
 ## 模型优化
 
 ### 检测-跟踪模型优化
-基于检测的行为识别模型效果依赖于前序的检测和跟踪效果，如果实际场景中不能准确检测到行人位置，或是难以正确在不同帧之间正确分配人物ID，都会使行为识别部分表现受限。如果在实际使用中遇到了上述问题，请参考[目标检测任务二次开发](../detection.md)以及[多目标跟踪任务二次开发](../mot.md)对检测/跟踪模型进行优化。
+基于检测的行为识别模型效果依赖于前序的检测和跟踪效果，如果实际场景中不能准确检测到行人位置，或是难以正确在不同帧之间正确分配人物ID，都会使行为识别部分表现受限。如果在实际使用中遇到了上述问题，请参考[目标检测任务二次开发](../detection.md)以及[多目标跟踪任务二次开发](../pphuman_mot.md)对检测/跟踪模型进行优化。
 
 
 ### 更大的分辨率
diff --git a/docs/advanced_tutorials/customization/action_recognotion/idbased_det_en.md b/docs/advanced_tutorials/customization/action_recognotion/idbased_det_en.md
@@ -14,7 +14,7 @@ The model of action recognition based on detection with human id directly recogn
 
 ## Model Optimization
 ### Detection-Tracking Model Optimization
-The performance of action recognition based on detection with human id depends on the pre-order detection and tracking models. If the pedestrian location cannot be accurately detected in the actual scene, or it is difficult to correctly assign the person ID between different frames, the performance of the action recognition part will be limited. If you encounter the above problems in actual use, please refer to [Secondary Development of Detection Task](../detection_en.md) and [Secondary Development of Multi-target Tracking Task](../mot_en.md) for detection/track model optimization.
+The performance of action recognition based on detection with human id depends on the pre-order detection and tracking models. If the pedestrian location cannot be accurately detected in the actual scene, or it is difficult to correctly assign the person ID between different frames, the performance of the action recognition part will be limited. If you encounter the above problems in actual use, please refer to [Secondary Development of Detection Task](../detection_en.md) and [Secondary Development of Multi-target Tracking Task](../pphuman_mot_en.md) for detection/track model optimization.
 
 
 ### Larger resolution
diff --git a/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec.md b/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec.md
diff --git a/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec_en.md b/docs/advanced_tutorials/customization/action_recognotion/skeletonbased_rec_en.md
diff --git a/docs/advanced_tutorials/customization/keypoint_detection.md b/docs/advanced_tutorials/customization/keypoint_detection.md
diff --git a/docs/advanced_tutorials/customization/pphuman_attribute.md b/docs/advanced_tutorials/customization/pphuman_attribute.md
diff --git a/docs/advanced_tutorials/customization/pphuman_mot.md b/docs/advanced_tutorials/customization/pphuman_mot.md
diff --git a/docs/advanced_tutorials/customization/pphuman_mtmct.md b/docs/advanced_tutorials/customization/pphuman_mtmct.md

Original file line number	Diff line number	Diff line change
`@@ -1,4 +1,4 @@`
`1`		`-English \| [简体中文](action.md)`
	`1`	`+English \| [简体中文](pphuman_action.md)`
`2`	`2`
`3`	`3`	`# Action Recognition Module of PP-Human`
`4`	`4`