add PGNetA in table
@@ -25,8 +25,9 @@ The results of detection and recognition are as follows:
![](../imgs_results/e2e_res_img295_pgnet.png)
### Performance
####Test set: Total Text
+
####Test environment: NVIDIA Tesla V100-SXM2-16GB
-| |det_precision|det_recall|det_f_score|e2e_precision|e2e_recall|e2e_f_score|FPS|download|
+|PGNetA|det_precision|det_recall|det_f_score|e2e_precision|e2e_recall|e2e_f_score|FPS|download|
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
|Paper|85.30|86.80|86.1|-|-|61.7|38.20 (size=640)|-|
|Ours|87.03|82.48|84.69|61.71|58.43|60.03|48.73 (size=768)|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/pgnet/en_server_pgnetA.tar)|
