[cherry-pick] update doc (#4667)

* update doc * update doc

[cherry-pick] update doc (#4667)
* update doc * update doc
547f2e45 · wangguanzhong · GitHub · c6623d29 · 547f2e45 · 547f2e45
7 changed file
--- a/README_cn.md
+++ b/README_cn.md
@@ -3,7 +3,7 @@
 # PaddleDetection

 # 产品动态
- 2021.11.03: 发布[release/2.3版本](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3)，发布**轻量级检测特色模型**⚡[PP-PicoDet](configs/picodet)，发布**轻量级关键点特色模型**⚡[PP-TinyPose](configs/keypoint/tiny_pose)。新增[Swin Transformer](configs/faster_rcnn)，[TOOD](configs/tood)，[GFL](configs/gfl)目标检测模型。发布[Sniper](configs/sniper)小目标检测优化模型，发布针对EdgeBoard优化[PP-YOLO-EB](configs/ppyolo)模型。新增轻量化关键点模型[Lite HRNet](configs/keypoint)关键点模型并支持Paddle Lite部署。
+- 2021.11.03: 发布[release/2.3版本](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3)，发布**轻量级检测特色模型**⚡[PP-PicoDet](configs/picodet)，发布**轻量级关键点特色模型**⚡[PP-TinyPose](configs/keypoint/tiny_pose)，发布**实时跟踪系统**[PP-Tracking](deploy/pptracking)。新增[Swin Transformer](configs/faster_rcnn)，[TOOD](configs/tood)，[GFL](configs/gfl)目标检测模型。发布[Sniper](configs/sniper)小目标检测优化模型，发布针对EdgeBoard优化[PP-YOLO-EB](configs/ppyolo)模型。新增轻量化关键点模型[Lite HRNet](configs/keypoint)关键点模型并支持Paddle Lite部署。
 - 2021.08.10: 发布[release/2.2版本](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.2)，发布Transformer检测系列模型，包括[DETR](configs/detr), [Deformable DETR](configs/deformable_detr), [Sparse RCNN](configs/sparse_rcnn)。新增Dark HRNet关键点模型和MPII数据集[关键点模型](configs/keypoint)，新增[人头](configs/mot/headtracking21)、[车辆](configs/mot/vehicle)跟踪垂类模型。
 - 2021.05.20: 发布[release/2.1版本](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.1)，新增[关键点检测](configs/keypoint)，模型包括HigherHRNet，HRNet。新增[多目标跟踪](configs/mot)能力，模型包括DeepSORT，JDE，FairMOT。发布PPYOLO系列模型压缩模型，新增[ONNX模型导出教程](deploy/EXPORT_ONNX_MODEL.md)。

@@ -242,6 +242,7 @@ PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件，提
 - 通用目标检测:
    - [模型库](docs/MODEL_ZOO_cn.md)
    - [PP-YOLO模型](configs/ppyolo/README_cn.md)
+    - [PP-PicoDet模型](configs/picodet/README.md)
    - [增强版Anchor Free模型TTFNet](configs/ttfnet/README.md)
    - [移动端模型](static/configs/mobile/README.md)
    - [676类目标检测](static/docs/featured_model/LARGE_SCALE_DET_MODEL.md)
@@ -252,10 +253,12 @@ PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件，提
 - 旋转框检测
    - [S2ANet](configs/dota/README.md)
 - [关键点检测](configs/keypoint)
+    - [PP-TinyPose](configs/keypoint/tiny_pose)
    - HigherHRNet
    - HRNet
    - LiteHRNet
 - [多目标跟踪](configs/mot/README_cn.md)
+    - [PP-Tracking](deploy/pptracking/README.md)
    - [DeepSORT](configs/mot/deepsort/README_cn.md)
    - [JDE](configs/mot/jde/README_cn.md)
    - [FairMOT](configs/mot/fairmot/README_cn.md)
@@ -270,6 +273,7 @@ PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件，提
 ## 应用案例

 - [人像圣诞特效自动生成工具](static/application/christmas)
+- [安卓健身APP](https://github.com/zhiboniu/pose_demo_android)

 ## 第三方教程推荐


--- a/README_en.md
+++ b/README_en.md
@@ -3,7 +3,7 @@ English | [简体中文](README_cn.md)

 # Product news

- 2021.11.03: Release [release/2.3](https://github.com/PaddlePaddle/Paddleetection/tree/release/2.3) version. Release mobile object detection model ⚡[PP-PicoDet](configs/picodet), mobile keypoint detection model ⚡[PP-TinyPose](configs/keypoint/tiny_pose). Release object detection models, including [Swin-Transformer](configs/faster_rcnn), [TOOD](configs/tood), [GFL](configs/gfl), release [Sniper](configs/sniper) tiny object detection models and optimized [PP-YOLO-EB](configs/ppyolo) model for EdgeBoard. Release mobile keypoint detection model [Lite HRNet](configs/keypoint).
+- 2021.11.03: Release [release/2.3](https://github.com/PaddlePaddle/Paddleetection/tree/release/2.3) version. Release mobile object detection model ⚡[PP-PicoDet](configs/picodet), mobile keypoint detection model ⚡[PP-TinyPose](configs/keypoint/tiny_pose)，Real-time tracking system [PP-Tracking](deploy/pptracking). Release object detection models, including [Swin-Transformer](configs/faster_rcnn), [TOOD](configs/tood), [GFL](configs/gfl), release [Sniper](configs/sniper) tiny object detection models and optimized [PP-YOLO-EB](configs/ppyolo) model for EdgeBoard. Release mobile keypoint detection model [Lite HRNet](configs/keypoint).
 - 2021.08.10: Release [release/2.2](https://github.com/PaddlePaddle/Paddleetection/tree/release/2.2) version. Release Transformer object detection models, including [DETR](configs/detr), [Deformable DETR](configs/deformable_detr), [Sparse RCNN](configs/sparse_rcnn). Release [keypoint detection](configs/keypoint) models, including DarkHRNet and model trained on MPII dataset. Release [head-tracking](configs/mot/headtracking21) and [vehicle-tracking](configs/mot/vehicle) multi-object tracking models.
 - 2021.05.20: Release [release/2.1]((https://github.com/PaddlePaddle/Paddleetection/tree/release/2.1) version. Release [Keypoint Detection](configs/keypoint), including HigherHRNet and HRNet, [Multi-Object Tracking](configs/mot), including DeepSORT，JDE and FairMOT. Release model compression for PPYOLO series models.Update documents such as [EXPORT ONNX MODEL](deploy/EXPORT_ONNX_MODEL.md).

@@ -256,6 +256,7 @@ The relationship between COCO mAP and FPS on Qualcomm Snapdragon 865 of represen
 - Universal object detection
  - [Model library and baselines](docs/MODEL_ZOO_cn.md)
  - [PP-YOLO](configs/ppyolo/README.md)
+  - [PP-PicoDet](configs/picodet/README.md)
  - [Enhanced Anchor Free model--TTFNet](configs/ttfnet/README_en.md)
  - [Mobile models](static/configs/mobile/README_en.md)
  - [676 classes of object detection](static/docs/featured_model/LARGE_SCALE_DET_MODEL_en.md)
@@ -266,10 +267,12 @@ The relationship between COCO mAP and FPS on Qualcomm Snapdragon 865 of represen
 - Rotation object detection
  - [S2ANet](configs/dota/README_en.md)
 - [Keypoint detection](configs/keypoint)
+  - [PP-TinyPose](configs/keypoint/tiny_pose)
  - HigherHRNet
  - HRNet
  - LiteHRNet
 - [Multi-Object Tracking](configs/mot/README.md)
+  - [PP-Tracking](deploy/pptracking/README.md)
  - [DeepSORT](configs/mot/deepsort/README.md)
  - [JDE](configs/mot/jde/README.md)
  - [FairMOT](configs/mot/fairmot/README.md)
@@ -284,6 +287,7 @@ The relationship between COCO mAP and FPS on Qualcomm Snapdragon 865 of represen
 ## Applications

 - [Christmas portrait automatic generation tool](static/application/christmas)
+- [Android Fitness Demo](https://github.com/zhiboniu/pose_demo_android)

 ## Updates


--- a/deploy/pptracking/README.md
+++ b/deploy/pptracking/README.md
@@ -14,7 +14,7 @@ PP-Tracking是基于飞桨深度学习框架的业界首个开源实时跟踪系

 ### 一、快速开始

-PP-Tracking提供了简洁的可视化界面，无需开发即可实现多种跟踪功能，可以参考[PP-Tracking可视化界面使用文档]()快速上手体验
+PP-Tracking提供了简洁的可视化界面，无需开发即可实现多种跟踪功能，可以参考[PP-Tracking可视化界面使用文档](https://github.com/yangyudong2020/PP-Tracking_GUi)快速上手体验

 ### 二、算法介绍


--- a/docs/CHANGELOG.md
+++ b/docs/CHANGELOG.md
@@ -19,6 +19,7 @@
    - 发布针对EdgeBoard优化的PP-YOLO-EB模型

  - 跟踪
+    - 发布实时跟踪系统PP-Tracking
    - 发布FairMot高精度模型、小尺度模型和轻量级模型
    - 发布行人、人头和车辆实跟踪垂类模型库，覆盖航拍监控、自动驾驶、密集人群、极小目标等场景
    - DeepSORT模型适配PP-YOLO, PP-PicoDet等更多检测器

--- a/docs/CHANGELOG_en.md
+++ b/docs/CHANGELOG_en.md
@@ -18,6 +18,7 @@ English | [简体中文](./CHANGELOG.md)
        - Publish Sniper optimization method for tiny object detection, supporting Faster RCNN and PP-YOLO series models
        - Publish PP-YOLO optimized model PP-YOLO-EB for EdgeBoard
    - Multi-object tracking:
+        - Publish Real-time tracking system PP-Tracking
        - Publish high-precision, small-scale and lightweight model based on FairMot
        - Publish real-time tracking model zoo for pedestrian, head and vehicle tracking, including scenarios such as aerial surveillance, autonomous driving, dense crowds, and tiny object tracking
        - DeepSort support PP-YOLO, PP-PicoDet as object detector

--- a/docs/MODEL_ZOO_cn.md
+++ b/docs/MODEL_ZOO_cn.md
@@ -93,3 +93,31 @@ Paddle提供基于ImageNet的骨架网络预训练模型。所有预训练模型
 ### S2ANet

 请参考[S2ANet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dota/)
+
+## 关键点检测
+
+### PP-TinyPose
+
+请参考[PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/tiny_pose)
+
+## HRNet
+
+请参考[HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/hrnet)
+
+## HigherHRNet
+
+请参考[HigherHRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/higherhrnet)
+
+## 多目标跟踪
+
+### DeepSort
+
+请参考[DeepSort](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort)
+
+### JDE
+
+请参考[JDE](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde)
+
+### FairMOT
+
+请参考[FairMOT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot)
--- a/docs/MODEL_ZOO_en.md
+++ b/docs/MODEL_ZOO_en.md
@@ -92,3 +92,31 @@ Please refer to[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/de
 ### S2ANet

 Please refer to[S2ANet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dota/)
+
+## KeyPoint Detection
+
+### PP-TinyPose
+
+Please refer to [PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/tiny_pose)
+
+## HRNet
+
+Please refer to [HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/hrnet)
+
+## HigherHRNet
+
+Please refer to [HigherHRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/higherhrnet)
+
+## Multi-Object Tracking
+
+### DeepSort
+
+Please refer to [DeepSort](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort)
+
+### JDE
+
+Please refer to [JDE](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde)
+
+### FairMOT
+
+Please refer to [FairMOT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot)