fix tinypose model link (#6045)

configs/keypoint/README.md

@@ -37,7 +37,7 @@ PaddleDetection 关键点检测能力紧跟业内最新最优算法方案，包
 | 检测模型                                                     | 关键点模型                            |             输入尺寸             |         COCO数据集精度          |          平均推理耗时 (FP16)           | 参数量 （M）                |          Flops (G)          |                           模型权重                           |                  Paddle-Lite部署模型（FP16)                  |
 | :----------------------------------------------------------- | :------------------------------------ | :------------------------------: | :-----------------------------: | :------------------------------------: | --------------------------- | :-------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: |
 | [PicoDet-S-Pedestrian](../picodet/legacy_model/application/pedestrian_detection/picodet_s_192_pedestrian.yml) | [PP-TinyPose](./tinypose_128x96.yml)  | 检测：192x192<br>关键点：128x96  | 检测mAP：29.0<br>关键点AP：58.1 | 检测耗时：2.37ms<br>关键点耗时：3.27ms | 检测：1.18<br/>关键点：1.36 | 检测：0.35<br/>关键点：0.08 | [检测](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian.pdparams)<br>[关键点](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96.pdparams) | [检测](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian_fp16.nb)<br>[关键点](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96_fp16.nb) |
-| [PicoDet-S-Pedestrian](../picodet/legacy_model/application/pedestrian_detection/picodet_s_320_pedestrian.yml) | [PP-TinyPose](./tinypose_256x192.yml) | 检测：320x320<br>关键点：256x192 | 检测mAP：38.5<br>关键点AP：68.8 | 检测耗时：6.30ms<br>关键点耗时：8.33ms | 检测：1.18<br/>关键点：1.36 | 检测：0.97<br/>关键点：0.32 | [检测](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian.pdparams)<br>[关键点](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96.pdparams) | [检测](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian_fp16.nb)<br>[关键点](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_256x192_fp16.nb) |
+| [PicoDet-S-Pedestrian](../picodet/legacy_model/application/pedestrian_detection/picodet_s_320_pedestrian.yml) | [PP-TinyPose](./tinypose_256x192.yml) | 检测：320x320<br>关键点：256x192 | 检测mAP：38.5<br>关键点AP：68.8 | 检测耗时：6.30ms<br>关键点耗时：8.33ms | 检测：1.18<br/>关键点：1.36 | 检测：0.97<br/>关键点：0.32 | [检测](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian.pdparams)<br>[关键点](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_256x192.pdparams) | [检测](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian_fp16.nb)<br>[关键点](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_256x192_fp16.nb) |
 
 
 *详细关于PP-TinyPose的使用请参考[文档]((./tiny_pose/README.md))。

configs/keypoint/README_en.md

@@ -41,7 +41,7 @@ At the same time, PaddleDetection provides [PP-TinyPose](./tiny_pose/README.md)
 | Detection Model                                              | Keypoint Model                        |               Input Size                |             Accuracy of COCO             |     Average Inference Time (FP16)     |             Params (M)             |             Flops (G)              |                         Model Weight                         |              Paddle-Lite Inference Model（FP16)              |
 | :----------------------------------------------------------- | :------------------------------------ | :-------------------------------------: | :--------------------------------------: | :-----------------------------------: | :--------------------------------: | :--------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: |
 | [PicoDet-S-Pedestrian](../../picodet/legacy_model/application/pedestrian_detection/picodet_s_192_pedestrian.yml) | [PP-TinyPose](./tinypose_128x96.yml)  | Detection：192x192<br>Keypoint：128x96  | Detection mAP：29.0<br>Keypoint AP：58.1 | Detection：2.37ms<br>Keypoint：3.27ms | Detection：1.18<br/>Keypoint：1.36 | Detection：0.35<br/>Keypoint：0.08 | [Detection](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian.pdparams)<br>[Keypoint](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96.pdparams) | [Detection](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_192_pedestrian_fp16.nb)<br>[Keypoint](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96_fp16.nb) |
-| [PicoDet-S-Pedestrian](../../picodet/legacy_model/application/pedestrian_detection/picodet_s_320_pedestrian.yml) | [PP-TinyPose](./tinypose_256x192.yml) | Detection：320x320<br>Keypoint：256x192 | Detection mAP：38.5<br>Keypoint AP：68.8 | Detection：6.30ms<br>Keypoint：8.33ms | Detection：1.18<br/>Keypoint：1.36 | Detection：0.97<br/>Keypoint：0.32 | [Detection](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian.pdparams)<br>[Keypoint](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_128x96.pdparams) | [Detection](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian_fp16.nb)<br>[Keypoint](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_256x192_fp16.nb) |
+| [PicoDet-S-Pedestrian](../../picodet/legacy_model/application/pedestrian_detection/picodet_s_320_pedestrian.yml) | [PP-TinyPose](./tinypose_256x192.yml) | Detection：320x320<br>Keypoint：256x192 | Detection mAP：38.5<br>Keypoint AP：68.8 | Detection：6.30ms<br>Keypoint：8.33ms | Detection：1.18<br/>Keypoint：1.36 | Detection：0.97<br/>Keypoint：0.32 | [Detection](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian.pdparams)<br>[Keypoint](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_256x192.pdparams) | [Detection](https://bj.bcebos.com/v1/paddledet/models/keypoint/picodet_s_320_pedestrian_fp16.nb)<br>[Keypoint](https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_256x192_fp16.nb) |
 
 
 *Specific documents of PP-TinyPose, please refer to [Document]((./tiny_pose/README.md))。