From fe0b44f091533682766c1906669cf3c85af2846c Mon Sep 17 00:00:00 2001 From: Jethong <1147925384@qq.com> Date: Mon, 12 Apr 2021 15:43:53 +0800 Subject: [PATCH] fix performance --- doc/doc_ch/pgnet.md | 14 +++++++------- doc/doc_en/pgnet_en.md | 13 +++++++------ 2 files changed, 14 insertions(+), 13 deletions(-) diff --git a/doc/doc_ch/pgnet.md b/doc/doc_ch/pgnet.md index 7e759afa..6b5f62dd 100644 --- a/doc/doc_ch/pgnet.md +++ b/doc/doc_ch/pgnet.md @@ -25,6 +25,13 @@ PGNet算法细节详见[论文](https://www.aaai.org/AAAI21Papers/AAAI-2885.Wang ![](../imgs_results/e2e_res_img293_pgnet.png) ![](../imgs_results/e2e_res_img295_pgnet.png) +### 性能指标 +| |det_precision|det_recall|det_f_score|e2e_precision|e2e_recall|e2e_f_score|FPS (size=640)|下载| +| --- | --- | --- | --- | --- | --- | --- | --- | --- | +|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 @@ -170,10 +177,3 @@ 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： ![](../imgs_results/e2e_res_img623_pgnet.jpg) - -#### (3). 性能指标 -| |det_precision|det_recall|det_f_score|e2e_precision|e2e_recall|e2e_f_score|FPS (size=640)| -| --- | --- | --- | --- | --- | --- | --- | --- | -|Ours|87.03|82.48|84.69|61.71|58.43|60.03|62.61| -|Paper|85.30|86.80|86.1|-|-|61.7|38.20| -*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 8855206a..868764af 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: ![](../imgs_results/e2e_res_img293_pgnet.png) ![](../imgs_results/e2e_res_img295_pgnet.png) +### 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: ![](../imgs_results/e2e_res_img623_pgnet.jpg) -#### (3). Performance -| |det_precision|det_recall|det_f_score|e2e_precision|e2e_recall|e2e_f_score|FPS (size=640)| -| --- | --- | --- | --- | --- | --- | --- | --- | -|Ours|87.03|82.48|84.69|61.71|58.43|60.03|62.61| -|Paper|85.30|86.80|86.1|-|-|61.7|38.20| -*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* -- GitLab