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PaddlePaddle · Aug 15, 2024 · 22bd1c3 · 22bd1c3
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diff --git a/docs/algorithm/table_recognition/algorithm_table_slanet.md b/docs/algorithm/table_recognition/algorithm_table_slanet.md
@@ -18,7 +18,7 @@ comments: true
 
 |模型|骨干网络|配置文件|acc|下载链接|
 | --- | --- | --- | --- | --- |
-|SLANet|LCNetV2|[configs/table/SLANet_lcnetv2.yml](../../configs/table/SLANet_lcnetv2.yml)|76.67%| [训练模型](https://paddleocr.bj.bcebos.com/openatom/ch_ppstructure_openatom_SLANetv2_train.tar) /[推理模型](https://paddleocr.bj.bcebos.com/openatom/ch_ppstructure_openatom_SLANetv2_infer.tar) |
+|SLANet|LCNetV2|[configs/table/SLANet_lcnetv2.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/table/SLANet_lcnetv2.yml)|76.67%| [训练模型](https://paddleocr.bj.bcebos.com/openatom/ch_ppstructure_openatom_SLANetv2_train.tar) /[推理模型](https://paddleocr.bj.bcebos.com/openatom/ch_ppstructure_openatom_SLANetv2_infer.tar) |
 
 ## 2. 环境配置
 

diff --git a/docs/algorithm/text_recognition/algorithm_rec_svtrv2.md b/docs/algorithm/text_recognition/algorithm_rec_svtrv2.md
@@ -12,11 +12,11 @@ comments: true
 
 |模型|配置文件|端到端|下载链接|
 | --- | --- | --- | --- |
-|PP-OCRv4| |A榜 62.77% <br> B榜 62.51%| [Model List](../../doc/doc_ch/models_list.md) |
-|SVTRv2(Rec Sever)|[configs/rec/SVTRv2/rec_svtrv2_ch.yml](../../configs/rec/SVTRv2/rec_svtrv2_ch.yml)|A榜 68.81% (使用PP-OCRv4检测模型)| [训练模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_svtrv2_ch_train.tar) / [推理模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_svtrv2_ch_infer.tar) |
-|RepSVTR(Mobile)|[识别](../../configs/rec/SVTRv2/rec_repsvtr_ch.yml) <br> [识别蒸馏](../../configs/rec/SVTRv2/rec_svtrv2_ch_distillation.yml) <br> [检测](../../configs/det/det_repsvtr_db.yml)|B榜 65.07%| 识别: [训练模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_repsvtr_ch_train.tar) / [推理模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_repsvtr_ch_infer.tar) <br> 识别蒸馏: [训练模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_svtrv2_distill_ch_train.tar) / [推理模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_svtrv2_distill_ch_infer.tar) <br> 检测: [训练模型](https://paddleocr.bj.bcebos.com/openatom/openatom_det_repsvtr_ch_train.tar) / [推理模型](https://paddleocr.bj.bcebos.com/openatom/openatom_det_repsvtr_ch_infer.tar) |
+|PP-OCRv4| |A榜 62.77% <br> B榜 62.51%| [Model List](../../ppocr/model_list.md) |
+|SVTRv2(Rec Sever)|[configs/rec/SVTRv2/rec_svtrv2_ch.yml](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/SVTRv2/rec_svtrv2_ch.yml)|A榜 68.81% (使用PP-OCRv4检测模型)| [训练模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_svtrv2_ch_train.tar) / [推理模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_svtrv2_ch_infer.tar) |
+|RepSVTR(Mobile)|[识别](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/SVTRv2/rec_repsvtr_ch.yml) <br> [识别蒸馏](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/rec/SVTRv2/rec_svtrv2_ch_distillation.yml) <br> [检测](https://github.com/PaddlePaddle/PaddleOCR/tree/main/configs/det/det_repsvtr_db.yml)|B榜 65.07%| 识别: [训练模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_repsvtr_ch_train.tar) / [推理模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_repsvtr_ch_infer.tar) <br> 识别蒸馏: [训练模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_svtrv2_distill_ch_train.tar) / [推理模型](https://paddleocr.bj.bcebos.com/openatom/openatom_rec_svtrv2_distill_ch_infer.tar) <br> 检测: [训练模型](https://paddleocr.bj.bcebos.com/openatom/openatom_det_repsvtr_ch_train.tar) / [推理模型](https://paddleocr.bj.bcebos.com/openatom/openatom_det_repsvtr_ch_infer.tar) |
 
-🚀 快速使用：参考PP-OCR推理[说明文档](../../doc/doc_ch/inference_ppocr.md)，将检测和识别模型替换为上表中对应的RepSVTR或SVTRv2推理模型即可使用。
+🚀 快速使用：参考PP-OCR推理[说明文档](https://github.com/PaddlePaddle/PaddleOCR/blob/main/doc/doc_ch/inference_ppocr.md)，将检测和识别模型替换为上表中对应的RepSVTR或SVTRv2推理模型即可使用。
 
 ## 2. 环境配置
 
@@ -87,7 +87,7 @@ python3 tools/infer/predict_rec.py --image_dir='./doc/imgs_words_en/word_10.png'
 # 预测文件夹下所有图像时，可修改image_dir为文件夹，如 --image_dir='./doc/imgs_words_en/'。
 ```
 
-![](../imgs_words_en/word_10.png)
+![](../../ppocr/infer_deploy/images/word_10.png)
 
 执行命令后，上面图像的预测结果（识别的文本和得分）会打印到屏幕上，示例如下：
 结果如下：