From 9a22ef0349ef6ffb3e549368cda7532e9a68e415 Mon Sep 17 00:00:00 2001 From: andyjpaddle Date: Thu, 28 Apr 2022 11:23:53 +0000 Subject: [PATCH] update doc --- doc/doc_ch/algorithm_rec_sar.md | 2 +- doc/doc_ch/algorithm_rec_srn.md | 2 +- doc/doc_en/algorithm_rec_sar_en.md | 2 +- doc/doc_en/algorithm_rec_srn_en.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/doc_ch/algorithm_rec_sar.md b/doc/doc_ch/algorithm_rec_sar.md index aedc1671..b8304313 100644 --- a/doc/doc_ch/algorithm_rec_sar.md +++ b/doc/doc_ch/algorithm_rec_sar.md @@ -24,7 +24,7 @@ 使用MJSynth和SynthText两个文字识别数据集训练，在IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE数据集上进行评估，算法复现效果如下： |模型|骨干网络|配置文件|Acc|下载链接| -| --- | --- | --- | --- | --- | --- | --- | +| --- | --- | --- | --- | --- | |SAR|ResNet31|[rec_r31_sar.yml](../../configs/rec/rec_r31_sar.yml)|87.20%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_r31_sar_train.tar)| 注：除了使用MJSynth和SynthText两个文字识别数据集外，还加入了[SynthAdd](https://pan.baidu.com/share/init?surl=uV0LtoNmcxbO-0YA7Ch4dg)数据（提取码：627x），和部分真实数据，具体数据细节可以参考论文。 diff --git a/doc/doc_ch/algorithm_rec_srn.md b/doc/doc_ch/algorithm_rec_srn.md index b1247907..ca796135 100644 --- a/doc/doc_ch/algorithm_rec_srn.md +++ b/doc/doc_ch/algorithm_rec_srn.md @@ -24,7 +24,7 @@ 使用MJSynth和SynthText两个文字识别数据集训练，在IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE数据集上进行评估，算法复现效果如下： |模型|骨干网络|配置文件|Acc|下载链接| -| --- | --- | --- | --- | --- | --- | --- | +| --- | --- | --- | --- | --- | |SRN|Resnet50_vd_fpn|[rec_r50_fpn_srn.yml](../../configs/rec/rec_r50_fpn_srn.yml)|86.31%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r50_vd_srn_train.tar)| diff --git a/doc/doc_en/algorithm_rec_sar_en.md b/doc/doc_en/algorithm_rec_sar_en.md index c8656f50..8c1e6dbb 100644 --- a/doc/doc_en/algorithm_rec_sar_en.md +++ b/doc/doc_en/algorithm_rec_sar_en.md @@ -24,7 +24,7 @@ Paper: Using MJSynth and SynthText two text recognition datasets for training, and evaluating on IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE datasets, the algorithm reproduction effect is as follows: |Model|Backbone|config|Acc|Download link| -| --- | --- | --- | --- | --- | --- | --- | +| --- | --- | --- | --- | --- | |SAR|ResNet31|[rec_r31_sar.yml](../../configs/rec/rec_r31_sar.yml)|87.20%|[train model](https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_r31_sar_train.tar)| Note:In addition to using the two text recognition datasets MJSynth and SynthText, [SynthAdd](https://pan.baidu.com/share/init?surl=uV0LtoNmcxbO-0YA7Ch4dg) data (extraction code: 627x), and some real data are used in training, the specific data details can refer to the paper. diff --git a/doc/doc_en/algorithm_rec_srn_en.md b/doc/doc_en/algorithm_rec_srn_en.md index ebc4a74f..c022a81f 100644 --- a/doc/doc_en/algorithm_rec_srn_en.md +++ b/doc/doc_en/algorithm_rec_srn_en.md @@ -24,7 +24,7 @@ Paper: Using MJSynth and SynthText two text recognition datasets for training, and evaluating on IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE datasets, the algorithm reproduction effect is as follows: |Model|Backbone|config|Acc|Download link| -| --- | --- | --- | --- | --- | --- | --- | +| --- | --- | --- | --- | --- | |SRN|Resnet50_vd_fpn|[rec_r50_fpn_srn.yml](../../configs/rec/rec_r50_fpn_srn.yml)|86.31%|[train model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r50_vd_srn_train.tar)| -- GitLab