diff --git a/doc/doc_ch/pgnet.md b/doc/doc_ch/pgnet.md
index f91d4ce5288bc4d1bf7e347730bad03a241217a9..89255d8ae1ce40eec91ddd3bbd9c7116fd35820d 100644
--- a/doc/doc_ch/pgnet.md
+++ b/doc/doc_ch/pgnet.md
@@ -26,6 +26,14 @@ PGNet算法细节详见[论文](https://www.aaai.org/AAAI21Papers/AAAI-2885.Wang
+### 性能指标
+| |det_precision|det_recall|det_f_score|e2e_precision|e2e_recall|e2e_f_score|FPS (size=640)|下载链接|
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+|Paper|85.30|86.80|86.1|-|-|61.7|38.20|-|
+|Ours|87.03|82.48|84.69|61.71|58.43|60.03|62.61|[下载链接](https://paddleocr.bj.bcebos.com/dygraph_v2.0/pgnet/en_server_pgnetA.tar)|
+
+*note：PaddleOCR里的PGNet实现针对预测速度做了优化，在精度下降可接受范围内，可以显著提升端对端预测速度*
+
## 二、环境配置
请先参考[快速安装](./installation.md)配置PaddleOCR运行环境。
@@ -170,10 +178,3 @@ python3 tools/infer/predict_e2e.py --e2e_algorithm="PGNet" --image_dir="./doc/im
可视化文本端到端结果默认保存到`./inference_results`文件夹里面，结果文件的名称前缀为'e2e_res'。结果示例如下：
-
-#### (3). 性能指标
-| |det_precision|det_recall|det_f_score|e2e_precision|e2e_recall|e2e_f_score|FPS (size=640)|
-| --- | --- | --- | --- | --- | --- | --- | --- |
-|Paper|85.30|86.80|86.1|-|-|61.7|38.20|
-|Ours|87.03|82.48|84.69|61.71|58.43|60.03|62.61|
-*note：PaddleOCR里的PGNet实现针对预测速度做了优化，在精度下降可接受范围内，可以显著提升端对端预测速度*
diff --git a/doc/doc_en/pgnet_en.md b/doc/doc_en/pgnet_en.md
index 10d318c4b16364489dcaa93319d9a4ee34c081d5..868764afc74a14637e1214ef91298b054d416c96 100644
--- a/doc/doc_en/pgnet_en.md
+++ b/doc/doc_en/pgnet_en.md
@@ -23,6 +23,13 @@ The output of TBO and TCL can get text detection results after post-processing,
The results of detection and recognition are as follows:
+### Performance
+| |det_precision|det_recall|det_f_score|e2e_precision|e2e_recall|e2e_f_score|FPS (size=640)|download|
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+|Paper|85.30|86.80|86.1|-|-|61.7|38.20|-|
+|Ours|87.03|82.48|84.69|61.71|58.43|60.03|62.61|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/pgnet/en_server_pgnetA.tar)|
+
+*note：PGNet in PaddleOCR optimizes the prediction speed, and can significantly improve the end-to-end prediction speed within the acceptable range of accuracy reduction*
## 2. Environment Configuration
@@ -173,9 +180,3 @@ python3 tools/infer/predict_e2e.py --e2e_algorithm="PGNet" --image_dir="./doc/im
The visualized text detection results are saved to the `./inference_results` folder by default, and the name of the result file is prefixed with 'e2e_res'. Examples of results are as follows:
-#### (3). Performance
-| |det_precision|det_recall|det_f_score|e2e_precision|e2e_recall|e2e_f_score|FPS (size=640)|
-| --- | --- | --- | --- | --- | --- | --- | --- |
-|Paper|85.30|86.80|86.1|-|-|61.7|38.20|
-|Ours|87.03|82.48|84.69|61.71|58.43|60.03|62.61|
-*note：PGNet in PaddleOCR optimizes the prediction speed, and can significantly improve the end-to-end prediction speed within the acceptable range of accuracy reduction*