repair links

Author: AmberC0209

docs/practical_tutorials/anomaly_detection_tutorial.en.md

@@ -37,7 +37,7 @@ PaddleX provides 1 end-to-end anomaly detection models. For details, refer to th
 
 | Model List          | Avg (%) | GPU Inference Time (ms) | CPU Inference Time (ms) | Model Size (M) | yaml file |
 |-|-|-|-|-|-|
-|STFPM|96.2|-|-|21.5 M|[STFPM.yaml](../../paddlex/configs/image_anomaly_detection/STFPM.yaml)|
+|STFPM|96.2|-|-|21.5 M|[STFPM.yaml](../../paddlex/configs/modules/image_anomaly_detection/STFPM.yaml)|
 
 > **Note: The above accuracy metrics are measured on the [MVTec AD](https://www.mvtec.com/company/research/datasets/mvtec-ad) dataset.**
 

docs/practical_tutorials/anomaly_detection_tutorial.md

@@ -38,7 +38,7 @@ PaddleX 提供了 1 个端到端的高精度异常检测模型，具体可参考
 
 |模型名称|Avg（%）|GPU推理耗时（ms）|CPU推理耗时（ms）|模型存储大小|yaml 文件|
 |-|-|-|-|-|-|
-|STFPM|96.2|-|-|21.5 M|[STFPM.yaml](../../paddlex/configs/image_anomaly_detection/STFPM.yaml)|
+|STFPM|96.2|-|-|21.5 M|[STFPM.yaml](../../paddlex/configs/modules/image_anomaly_detection/STFPM.yaml)|
 
 **注：以上精度指标为 **[MVTec AD](https://www.mvtec.com/company/research/datasets/mvtec-ad)** 验证集 平均异常分数。**
 

docs/practical_tutorials/document_scene_information_extraction(seal_recognition)_tutorial.en.md

@@ -109,15 +109,15 @@ PaddleX provides 2 end-to-end seal text detection models, which can be reference
 <td>10.5878</td>
 <td>131.813</td>
 <td>4.7M</td>
-<td><a href="../../paddlex/configs/seal_text_detection/PP-OCRv4_mobile_seal_det.yaml">PP-OCRv4_mobile_seal_det.yaml</a></td>
+<td><a href="../../paddlex/configs/modules/seal_text_detection/PP-OCRv4_mobile_seal_det.yaml">PP-OCRv4_mobile_seal_det.yaml</a></td>
 </tr>
 <tr>
 <td>PP-OCRv4_server_seal_det</td>
 <td>98.21</td>
 <td>84.341</td>
 <td>2425.06</td>
 <td>108.3 M</td>
-<td><a href="../../paddlex/configs/seal_text_detection/PP-OCRv4_server_seal_det.yaml">PP-OCRv4_server_seal_det.yaml</a></td>
+<td><a href="../../paddlex/configs/modules/seal_text_detection/PP-OCRv4_server_seal_det.yaml">PP-OCRv4_server_seal_det.yaml</a></td>
 </tr>
 </tbody>
 </table>

docs/practical_tutorials/document_scene_information_extraction(seal_recognition)_tutorial.md

@@ -105,15 +105,15 @@ PaddleX 提供了 2 个端到端的印章文本检测模型，具体可参考 [
 <td>10.5878</td>
 <td>131.813</td>
 <td>4.7M</td>
-<td><a href="../../paddlex/configs/seal_text_detection/PP-OCRv4_mobile_seal_det.yaml">PP-OCRv4_mobile_seal_det.yaml</a></td>
+<td><a href="../../paddlex/configs/modules/seal_text_detection/PP-OCRv4_mobile_seal_det.yaml">PP-OCRv4_mobile_seal_det.yaml</a></td>
 </tr>
 <tr>
 <td>PP-OCRv4_server_seal_det</td>
 <td>98.21</td>
 <td>84.341</td>
 <td>2425.06</td>
 <td>108.3 M</td>
-<td><a href="../../paddlex/configs/seal_text_detection/PP-OCRv4_server_seal_det.yaml">PP-OCRv4_server_seal_det.yaml</a></td>
+<td><a href="../../paddlex/configs/modules/seal_text_detection/PP-OCRv4_server_seal_det.yaml">PP-OCRv4_server_seal_det.yaml</a></td>
 </tr>
 </tbody>
 </table>