pphuman doc add reid data; test=document_fix

deploy/pphuman/README.md

@@ -44,7 +44,7 @@ PP-Human提供了目标检测、属性识别、行为识别、ReID预训练模
 | 属性识别    | 图片/视频输入 属性识别  | mA: 94.86 |  单人2ms     | [下载链接](https://bj.bcebos.com/v1/paddledet/models/pipeline/strongbaseline_r50_30e_pa100k.zip) |
 | 关键点检测    | 视频输入 行为识别 | AP: 87.1 | 单人2.9ms        | [下载链接](https://bj.bcebos.com/v1/paddledet/models/pipeline/dark_hrnet_w32_256x192.zip)
 | 行为识别   |  视频输入 行为识别  | 准确率: 96.43 |  单人2.7ms      | [下载链接](https://bj.bcebos.com/v1/paddledet/models/pipeline/STGCN.zip) |
-| ReID         | 视频输入 跨镜跟踪   | mAP: 99.7 | -        | [下载链接](https://bj.bcebos.com/v1/paddledet/models/pipeline/reid_model.zip) |
+| ReID         | 视频输入 跨镜跟踪   | mAP: 98.8 | 单人1.5ms        | [下载链接](https://bj.bcebos.com/v1/paddledet/models/pipeline/reid_model.zip) |
 
 下载模型后，解压至`./output_inference`文件夹
 

deploy/pphuman/README_en.md

@@ -42,7 +42,7 @@ To make users have access to models of different scenarios, PP-Human provides pr
 | Attribute Recognition    | Image/Video Input  Attribute Recognition | MOTA: 72.0 |  33.1ms       | [Link](https://bj.bcebos.com/v1/paddledet/models/pipeline/strongbaseline_r50_30e_pa100k.zip) |
 | Keypoint Detection    | Video Input  Action Recognition | mA: 94.86 | 2ms per person        | [Link](https://bj.bcebos.com/v1/paddledet/models/pipeline/dark_hrnet_w32_256x192.zip)
 | Behavior Recognition   |  Video Input  Bheavior Recognition  | Precision 96.43 |  2.7ms per person          | [Link](https://bj.bcebos.com/v1/paddledet/models/pipeline/STGCN.zip) |
-| ReID         | Multi-Target Multi-Camera Tracking   | mAP: 99.7 | -        | [Link](https://bj.bcebos.com/v1/paddledet/models/pipeline/reid_model.zip) |
+| ReID         | Multi-Target Multi-Camera Tracking   | mAP: 98.8 | 1.5ms per person    | [Link](https://bj.bcebos.com/v1/paddledet/models/pipeline/reid_model.zip) |
 
 Then, unzip the downloaded model to the folder `./output_inference`.