fix read doc, test=document_fix (#7361)

README_cn.md

@@ -330,7 +330,7 @@ PaddleDetection非常欢迎你加入到飞桨社区的开源建设中，参与
 |:---------- |:-----------:|:-------------------------:|:-----------------------------------------------------:|:------------------------------------------------------------------------------------:|
 | PP-YOLOE+_s | 43.9        | 333.3                     | [链接](configs/ppyoloe/ppyoloe_plus_crn_s_80e_coco.yml)     | [下载地址](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_s_80e_coco.pdparams)      |
 | PP-YOLOE+_m | 50.0        | 208.3                     | [链接](configs/ppyoloe/ppyoloe_plus_crn_m_80e_coco.yml)     | [下载地址](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_m_80e_coco.pdparams)     |
-| PP-YOLOE+_l | 53.3        | 149.2                     | [链接](configs/ppyoloe/ppyoloe_plus_crn_l_80e_coco.yml) | [下载地址](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_m_80e_coco.pdparams) |
+| PP-YOLOE+_l | 53.3        | 149.2                     | [链接](configs/ppyoloe/ppyoloe_plus_crn_l_80e_coco.yml) | [下载地址](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_l_80e_coco.pdparams) |
 | PP-YOLOE+_x | 54.9        | 95.2                      | [链接](configs/ppyoloe/ppyoloe_plus_crn_x_80e_coco.yml) | [下载地址](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_x_80e_coco.pdparams) |
 
 #### [PP-PicoDet](./configs/picodet)系列 推荐场景：ARM CPU(RK3399, 树莓派等) 和NPU(比特大陆，晶晨等)移动端芯片和x86 CPU设备
@@ -494,16 +494,16 @@ PaddleDetection非常欢迎你加入到飞桨社区的开源建设中，参与
 
 ### [产业实践范例教程](./industrial_tutorial/README.md)
 
+- [基于PP-YOLOE-R的旋转框检测](https://aistudio.baidu.com/aistudio/projectdetail/5058293)
+
+- [基于PP-YOLOE-SOD的无人机航拍图像检测](https://aistudio.baidu.com/aistudio/projectdetail/5036782)
+
 - [基于PP-Human v2的摔倒检测](https://aistudio.baidu.com/aistudio/projectdetail/4606001)
 
 - [基于PP-TinyPose增强版的智能健身动作识别](https://aistudio.baidu.com/aistudio/projectdetail/4385813)
 
-- [基于PP-Human的打架识别](https://aistudio.baidu.com/aistudio/projectdetail/4086987?contributionType=1)
-
 - [基于PP-PicoDet增强版的路面垃圾检测](https://aistudio.baidu.com/aistudio/projectdetail/3846170?channelType=0&channel=0)
 
-- [基于PP-PicoDet的通信塔识别及Android端部署](https://aistudio.baidu.com/aistudio/projectdetail/3561097)
-
 - [基于FairMOT实现人流量统计](https://aistudio.baidu.com/aistudio/projectdetail/2421822)
 
 - [基于PP-Human的来客分析案例教程](https://aistudio.baidu.com/aistudio/projectdetail/4537344)

README_en.md

@@ -311,7 +311,7 @@ The comparison between COCO mAP and FPS on Qualcomm Snapdragon 865 processor of
 |:---------- |:------------------:|:-----------------------------:|:-------------------------------------------------------:|:----------------------------------------------------------------------------------------:|
 | PP-YOLOE+_s | 43.9        | 333.3                     | [link](configs/ppyoloe/ppyoloe_plus_crn_s_80e_coco.yml)     | [download](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_s_80e_coco.pdparams)      |
 | PP-YOLOE+_m | 50.0        | 208.3                     | [link](configs/ppyoloe/ppyoloe_plus_crn_m_80e_coco.yml)     | [download](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_m_80e_coco.pdparams)     |
-| PP-YOLOE+_l | 53.3        | 149.2                     | [link](configs/ppyoloe/ppyoloe_plus_crn_l_80e_coco.yml) | [download](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_m_80e_coco.pdparams) |
+| PP-YOLOE+_l | 53.3        | 149.2                     | [link](configs/ppyoloe/ppyoloe_plus_crn_l_80e_coco.yml) | [download](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_l_80e_coco.pdparams) |
 | PP-YOLOE+_x | 54.9        | 95.2                      | [link](configs/ppyoloe/ppyoloe_plus_crn_x_80e_coco.yml) | [download](https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_x_80e_coco.pdparams) |
 
 #### PP-PicoDet series Recommended scenarios: Mobile chips and x86 CPU devices, such as ARM CPU(RK3399, Raspberry Pi) and NPU(BITMAIN)
@@ -470,20 +470,21 @@ Please refer to [docs](deploy/pipeline/README_en.md) for details.
 - **[Academic exchange] 2022.9.27 [YOLO Vision Event](https://www.youtube.com/playlist?list=PL1FZnkj4ad1NHVC7CMc3pjSQ-JRK-Ev6O):** As the first YOLO-themed event, PaddleDetection was invited to communicate with the experts in the field of Computer Vision around the world.
 
 ### [Industrial tutorial examples](./industrial_tutorial/README.md)
+
+- [Rotated object detection based on PP-YOLOE-R](https://aistudio.baidu.com/aistudio/projectdetail/5058293)
+
+- [Aerial image detection based on PP-YOLOE-SOD](https://aistudio.baidu.com/aistudio/projectdetail/5036782)
+
 - [Fall down recognition based on PP-Human v2](https://aistudio.baidu.com/aistudio/projectdetail/4606001)
 
 - [Intelligent fitness recognition based on PP-TinyPose Plus](https://aistudio.baidu.com/aistudio/projectdetail/4385813)
 
 - [Road litter detection based on PP-PicoDet Plus](https://aistudio.baidu.com/aistudio/projectdetail/3561097)
 
-- [Communication tower detection based on PP-PicoDet and deployment on Android](https://aistudio.baidu.com/aistudio/projectdetail/3561097)
-
 - [Visitor flow statistics based on FairMOT](https://aistudio.baidu.com/aistudio/projectdetail/2421822)
 
 - [Guest analysis based on PP-Human](https://aistudio.baidu.com/aistudio/projectdetail/4537344)
 
-- [Fight recognition based on video classification](https://aistudio.baidu.com/aistudio/projectdetail/4512242)
-
 - [More examples](./industrial_tutorial/README.md)
 
 ## <img title="" src="https://user-images.githubusercontent.com/48054808/157836473-1cf451fa-f01f-4148-ba68-b6d06d5da2f9.png" alt="" width="20"> Applications

industrial_tutorial/README.md

@@ -15,6 +15,11 @@ PaddleDetection场景应用覆盖通用，制造，城市，交通行业的主
 
 ## 范例列表
 
+- [基于PP-YOLOE-R的旋转框检测](https://aistudio.baidu.com/aistudio/projectdetail/5058293)
+
+- [基于PP-YOLOE-SOD的无人机航拍图像检测](https://aistudio.baidu.com/aistudio/projectdetail/5036782)
+
+
 - [基于PP-Human v2的摔倒检测](https://aistudio.baidu.com/aistudio/projectdetail/4606001)
 
 - [基于PP-TinyPose增强版的智能健身动作识别](https://aistudio.baidu.com/aistudio/projectdetail/4385813)