未验证 提交 5a78b68e 编写于 作者: J JYChen 提交者: GitHub

fix doc link of pphuman (#5736)

上级 d2eb33da
...@@ -29,7 +29,7 @@ cd PaddleDetection ...@@ -29,7 +29,7 @@ cd PaddleDetection
pip install -r requirements.txt pip install -r requirements.txt
``` ```
详细安装文档参考[文档](docs/tutorials/INSTALL_cn.md) 详细安装文档参考[文档](../../docs/tutorials/INSTALL_cn.md)
## 二、快速开始 ## 二、快速开始
......
...@@ -28,7 +28,7 @@ cd PaddleDetection ...@@ -28,7 +28,7 @@ cd PaddleDetection
pip install -r requirements.txt pip install -r requirements.txt
``` ```
For details of the installation, please refer to this [document](docs/tutorials/INSTALL_cn.md) For details of the installation, please refer to this [document](../../docs/tutorials/INSTALL.md)
## II. Quick Start ## II. Quick Start
...@@ -144,19 +144,19 @@ The overall solution of PP-Human is as follows: ...@@ -144,19 +144,19 @@ The overall solution of PP-Human is as follows:
### 1. Object Detection ### 1. Object Detection
- Use PP-YOLOE L as the model of object detection - Use PP-YOLOE L as the model of object detection
- For details, please refer to [PP-YOLOE](../../configs/ppyoloe/) and [Detection and Tracking](docs/mot_en.md) - For details, please refer to [PP-YOLOE](../../configs/ppyoloe/) and [Detection and Tracking](docs/mot.md)
### 2. Multi-Object Tracking ### 2. Multi-Object Tracking
- Conduct multi-object tracking with the SDE solution - Conduct multi-object tracking with the SDE solution
- Use PP-YOLOE L as the detection model - Use PP-YOLOE L as the detection model
- Use the Bytetrack solution to track modules - Use the Bytetrack solution to track modules
- For details, refer to [Bytetrack](configs/mot/bytetrack) and [Detection and Tracking](docs/mot_en.md) - For details, refer to [Bytetrack](configs/mot/bytetrack) and [Detection and Tracking](docs/mot.md)
### 3. Multi-Camera Tracking ### 3. Multi-Camera Tracking
- Use PP-YOLOE + Bytetrack to obtain the tracks of single-camera multi-object tracking - Use PP-YOLOE + Bytetrack to obtain the tracks of single-camera multi-object tracking
- Use ReID(centroid network)to extract features of the detection result of each frame - Use ReID(centroid network)to extract features of the detection result of each frame
- Match the features of multi-camera tracks to get the cross-camera tracking result - Match the features of multi-camera tracks to get the cross-camera tracking result
- For details, please refer to [Multi-Camera Tracking](docs/mtmct_en.md) - For details, please refer to [Multi-Camera Tracking](docs/mtmct.md)
### 4. Attribute Recognition ### 4. Attribute Recognition
- Use PP-YOLOE + Bytetrack to track humans - Use PP-YOLOE + Bytetrack to track humans
...@@ -167,4 +167,4 @@ The overall solution of PP-Human is as follows: ...@@ -167,4 +167,4 @@ The overall solution of PP-Human is as follows:
- Use PP-YOLOE + Bytetrack to track humans - Use PP-YOLOE + Bytetrack to track humans
- Use HRNet for keypoint detection and get the information of the 17 key points in the human body - Use HRNet for keypoint detection and get the information of the 17 key points in the human body
- According to the changes of the key points of the same person within 50 frames, judge whether the action made by the person within 50 frames is a fall with the help of ST-GCN - According to the changes of the key points of the same person within 50 frames, judge whether the action made by the person within 50 frames is a fall with the help of ST-GCN
- For details, please refer to [Action Recognition](docs/action_en.md) - For details, please refer to [Action Recognition](docs/action.md)
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