From 1a454f57e33aa6046cb0bd8681dd207e161fd8c2 Mon Sep 17 00:00:00 2001 From: wangguanzhong Date: Wed, 12 Oct 2022 19:01:45 +0800 Subject: [PATCH] [cherry-pick] add course, test=document_fix (#7107) --- README_cn.md | 4 +++- README_en.md | 4 +++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/README_cn.md b/README_cn.md index 9a589b2c5..d907dd7ff 100644 --- a/README_cn.md +++ b/README_cn.md @@ -70,7 +70,7 @@ PaddleDetection受邀参与首个以YOLO为主题的YOLO Vision世界大会， ## 简介 -**PaddleDetection**为基于飞桨PaddlePaddle的端到端目标检测套件，内置**30+模型算法**及**250+预训练模型**，覆盖**目标检测、实例分割、跟踪、关键点检测**等方向，其中包括**服务器端和移动端高精度、轻量级**产业级SOTA模型、冠军方案和学术前沿算法，并提供配置化的网络模块组件、十余种数据增强策略和损失函数等高阶优化支持和多种部署方案，在打通数据处理、模型开发、训练、压缩、部署全流程的基础上，提供丰富的案例及教程，加速算法产业落地应用。 +**PaddleDetection**为基于飞桨PaddlePaddle的端到端目标检测套件，内置**30+模型算法**及**300+预训练模型**，覆盖**目标检测、实例分割、跟踪、关键点检测**等方向，其中包括**服务器端和移动端高精度、轻量级**产业级SOTA模型、冠军方案和学术前沿算法，并提供配置化的网络模块组件、十余种数据增强策略和损失函数等高阶优化支持和多种部署方案，在打通数据处理、模型开发、训练、压缩、部署全流程的基础上，提供丰富的案例及教程，加速算法产业落地应用。
@@ -484,6 +484,8 @@ PaddleDetection受邀参与首个以YOLO为主题的YOLO Vision世界大会， - **【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 +- **【学术交流】2022.9.27 [YOLO Vision世界学术交流大会](https://www.youtube.com/playlist?list=PL1FZnkj4ad1NHVC7CMc3pjSQ-JRK-Ev6O)：** PaddleDetection受邀参与首个以YOLO为主题的YOLO Vision世界大会，与全球AI领先开发者学习交流 + ### [产业实践范例教程](./industrial_tutorial/README.md) - [基于PP-Human v2的摔倒检测](https://aistudio.baidu.com/aistudio/projectdetail/4606001) diff --git a/README_en.md b/README_en.md index 17a884270..dcbec62ad 100644 --- a/README_en.md +++ b/README_en.md @@ -71,7 +71,7 @@ Join the experts of Ultralytics as well as leaders in the space on September 27t ## Brief Introduction -**PaddleDetection** is an end-to-end object detection development kit based on PaddlePaddle. Providing **over 30 model algorithm** and **over 250 pre-trained models**, it covers object detection, instance segmentation, keypoint detection, multi-object tracking. In particular, PaddleDetection offers **high- performance & light-weight** industrial SOTA models on **servers and mobile** devices, champion solution and cutting-edge algorithm. PaddleDetection provides various data augmentation methods, configurable network components, loss functions and other advanced optimization & deployment schemes. In addition to running through the whole process of data processing, model development, training, compression and deployment, PaddlePaddle also provides rich cases and tutorials to accelerate the industrial application of algorithm. +**PaddleDetection** is an end-to-end object detection development kit based on PaddlePaddle. Providing **over 30 model algorithm** and **over 300 pre-trained models**, it covers object detection, instance segmentation, keypoint detection, multi-object tracking. In particular, PaddleDetection offers **high- performance & light-weight** industrial SOTA models on **servers and mobile** devices, champion solution and cutting-edge algorithm. PaddleDetection provides various data augmentation methods, configurable network components, loss functions and other advanced optimization & deployment schemes. In addition to running through the whole process of data processing, model development, training, compression and deployment, PaddlePaddle also provides rich cases and tutorials to accelerate the industrial application of algorithm.
@@ -472,6 +472,8 @@ Please refer to [docs](deploy/pipeline/README_en.md) for details. - **[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. +- **[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) - [Fall down recognition based on PP-Human v2](https://aistudio.baidu.com/aistudio/projectdetail/4606001) -- GitLab