From e1bf5d1bd814b93c78f0bcad3a131551616c3a49 Mon Sep 17 00:00:00 2001 From: wangguanzhong Date: Thu, 14 Jul 2022 19:28:10 +0800 Subject: [PATCH] [doc] update human gif & qrcode (#6438) * update human gif & qrcode, test=document_fix * update link, test=document_fix --- README_cn.md | 2 +- README_en.md | 2 +- deploy/pipeline/README.md | 4 +--- industrial_tutorial/{README_cn.md => README.md} | 9 ++++++++- 4 files changed, 11 insertions(+), 6 deletions(-) rename industrial_tutorial/{README_cn.md => README.md} (67%) diff --git a/README_cn.md b/README_cn.md index b04ea327e..e6453bf04 100644 --- a/README_cn.md +++ b/README_cn.md @@ -436,7 +436,7 @@ - **【行业特色】2022.3.26 [智慧城市行业七日课](https://aistudio.baidu.com/aistudio/education/group/info/25620)：** 城市规划、城市治理、智慧政务、交通管理、社区治理 -### [产业实践范例教程](./industrial_tutorial/README_cn.md) +### [产业实践范例教程](./industrial_tutorial/README.md) - [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) diff --git a/README_en.md b/README_en.md index 3a67a541c..d90419543 100644 --- a/README_en.md +++ b/README_en.md @@ -430,7 +430,7 @@ The comparison between COCO mAP and FPS on Qualcomm Snapdragon 865 processor of - **[Industrial features] 2022.3.26** **[Smart City Industry Seven-Day Class](https://aistudio.baidu.com/aistudio/education/group/info/25620)** : Urban planning, Urban governance, Smart governance service, Traffic management, community governance. -### [Industrial tutorial examples](./industrial_tutorial/README_cn.md) +### [Industrial tutorial examples](./industrial_tutorial/README.md) - [Road litter detection based on PP-PicoDet Plus](https://aistudio.baidu.com/aistudio/projectdetail/3561097) diff --git a/deploy/pipeline/README.md b/deploy/pipeline/README.md index 983a4835e..ae4636bcb 100644 --- a/deploy/pipeline/README.md +++ b/deploy/pipeline/README.md @@ -1,10 +1,8 @@ -简体中文 - # 实时行人分析工具 PP-Human **PP-Human是基于飞桨深度学习框架的业界首个开源产业级实时行人分析工具，具有功能丰富，应用广泛和部署高效三大优势。** -![](https://user-images.githubusercontent.com/22989727/178892756-e2717a2c-beb0-4d88-ad32-ca37e24b47f8.gif) +![](https://user-images.githubusercontent.com/22989727/178965250-14be25c1-125d-4d90-8642-7a9b01fecbe2.gif) PP-Human支持图片/单镜头视频/多镜头视频多种输入方式，功能覆盖多目标跟踪、属性识别、行为分析及人流量计数与轨迹记录。能够广泛应用于智慧交通、智慧社区、工业巡检等领域。支持服务器端部署及TensorRT加速，T4服务器上可达到实时。 diff --git a/industrial_tutorial/README_cn.md b/industrial_tutorial/README.md similarity index 67% rename from industrial_tutorial/README_cn.md rename to industrial_tutorial/README.md index 19877a022..851be00ed 100644 --- a/industrial_tutorial/README_cn.md +++ b/industrial_tutorial/README.md @@ -1,11 +1,18 @@ # 产业实践范例 -为了缩小基础理论教学与产业落地间的差距，PaddleDetection联合产业头部企业，结合实际经验，选取经典场景，提供了从**数据准备、模型训练优化，到模型部署的全流程可复用方案**，降低产业落地门槛，让大家在真实数据环境下深入地了解这些案例，获取产业实现方案。 +PaddleDetection场景应用覆盖通用，制造，城市，交通行业的主要检测垂类应用，在PP-YOLOE，PP-PicoDet，PP-Human，PP-Vehicle的能力基础之上，以notebook的形式展示利用场景数据微调、模型优化方法、数据增广等内容，为开发者快速落地目标检测应用提供示范与启发。 +
+ +欢迎扫码加入用户交流答疑群 +
+ +
+ ## 范例列表 - [基于PP-PicoDet的通信塔识别及Android端部署](https://aistudio.baidu.com/aistudio/projectdetail/3561097) -- GitLab