diff --git a/README_cn.md b/README_cn.md index bffc6b37982752ffd2ee464866ffef86136ac847..bfb8a575ba66d4ff39b29d69a41b7b3f9edc7ea1 100644 --- a/README_cn.md +++ b/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) diff --git a/README_en.md b/README_en.md index 75b40e9302531aeeb3043b4d9eba875b06e9069e..30ba328a768e0aed5a6658f9457362974d8c5a65 100644 --- a/README_en.md +++ b/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) ## Applications diff --git a/industrial_tutorial/README.md b/industrial_tutorial/README.md index 40a6aec66b00187593c2e605b45c26f0968959d3..aa68046657d298c6883488b49d5cfd26255c4bcc 100644 --- a/industrial_tutorial/README.md +++ b/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)