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3ed33a24
编写于
1月 17, 2022
作者:
Z
zhoujun
提交者:
GitHub
1月 17, 2022
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Merge pull request #5276 from WenmuZhou/fix_vqa
update metric
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doc/doc_ch/algorithm_overview.md
doc/doc_ch/algorithm_overview.md
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doc/doc_en/algorithm_overview_en.md
doc/doc_en/algorithm_overview_en.md
+14
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未找到文件。
doc/doc_ch/algorithm_overview.md
浏览文件 @
3ed33a24
...
...
@@ -61,18 +61,18 @@ PaddleOCR基于动态图开源的文本识别算法列表:
|模型|骨干网络|Avg Accuracy|模型存储命名|下载链接|
|---|---|---|---|---|
|Rosetta|Resnet34_vd|
80.9
%|rec_r34_vd_none_none_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_none_ctc_v2.0_train.tar
)
|
|Rosetta|MobileNetV3|7
8.05
%|rec_mv3_none_none_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_none_ctc_v2.0_train.tar
)
|
|CRNN|Resnet34_vd|8
2.76
%|rec_r34_vd_none_bilstm_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_bilstm_ctc_v2.0_train.tar
)
|
|CRNN|MobileNetV3|7
9.97
%|rec_mv3_none_bilstm_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_train.tar
)
|
|StarNet|Resnet34_vd|8
4.44
%|rec_r34_vd_tps_bilstm_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_ctc_v2.0_train.tar
)
|
|StarNet|MobileNetV3|
81.42
%|rec_mv3_tps_bilstm_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_ctc_v2.0_train.tar
)
|
|RARE|
MobileNetV3|82.5%|rec_mv3_tps_bilstm_att |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3
_tps_bilstm_att_v2.0_train.tar
)
|
|RARE|
Resnet34_vd|83.6%|rec_r34_vd_tps_bilstm_att |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd
_tps_bilstm_att_v2.0_train.tar
)
|
|SRN|Resnet50_vd_fpn| 8
8.52
% | rec_r50fpn_vd_none_srn |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r50_vd_srn_train.tar
)
|
|NRTR|NRTR_MTB| 84.
3
% | rec_mtb_nrtr |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mtb_nrtr_train.tar
)
|
|SAR|Resnet31| 87.2% | rec_r31_sar |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_r31_sar_train.tar
)
|
|SEED|Aster_Resnet| 85.
2
% | rec_resnet_stn_bilstm_att |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_resnet_stn_bilstm_att.tar
)
|
|Rosetta|Resnet34_vd|
79.11
%|rec_r34_vd_none_none_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_none_ctc_v2.0_train.tar
)
|
|Rosetta|MobileNetV3|7
5.80
%|rec_mv3_none_none_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_none_ctc_v2.0_train.tar
)
|
|CRNN|Resnet34_vd|8
1.04
%|rec_r34_vd_none_bilstm_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_bilstm_ctc_v2.0_train.tar
)
|
|CRNN|MobileNetV3|7
7.95
%|rec_mv3_none_bilstm_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_train.tar
)
|
|StarNet|Resnet34_vd|8
2.85
%|rec_r34_vd_tps_bilstm_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_ctc_v2.0_train.tar
)
|
|StarNet|MobileNetV3|
79.28
%|rec_mv3_tps_bilstm_ctc|
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_ctc_v2.0_train.tar
)
|
|RARE|
Resnet34_vd|83.98%|rec_r34_vd_tps_bilstm_att |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd
_tps_bilstm_att_v2.0_train.tar
)
|
|RARE|
MobileNetV3|81.76%|rec_mv3_tps_bilstm_att |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3
_tps_bilstm_att_v2.0_train.tar
)
|
|SRN|Resnet50_vd_fpn| 8
6.31
% | rec_r50fpn_vd_none_srn |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r50_vd_srn_train.tar
)
|
|NRTR|NRTR_MTB| 84.
21
% | rec_mtb_nrtr |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mtb_nrtr_train.tar
)
|
|SAR|Resnet31| 87.2
0
% | rec_r31_sar |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_r31_sar_train.tar
)
|
|SEED|Aster_Resnet| 85.
35
% | rec_resnet_stn_bilstm_att |
[
训练模型
](
https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_resnet_stn_bilstm_att.tar
)
|
<a
name=
"2"
></a>
...
...
doc/doc_en/algorithm_overview_en.md
浏览文件 @
3ed33a24
...
...
@@ -67,20 +67,20 @@ Refer to [DTRB](https://arxiv.org/abs/1904.01906), the training and evaluation r
|Model|Backbone|Avg Accuracy|Module combination|Download link|
|---|---|---|---|---|
|Rosetta|Resnet34_vd|
80.9
%|rec_r34_vd_none_none_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_none_ctc_v2.0_train.tar
)
|
|Rosetta|MobileNetV3|7
8.05
%|rec_mv3_none_none_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_none_ctc_v2.0_train.tar
)
|
|CRNN|Resnet34_vd|8
2.76
%|rec_r34_vd_none_bilstm_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_bilstm_ctc_v2.0_train.tar
)
|
|CRNN|MobileNetV3|7
9.97
%|rec_mv3_none_bilstm_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_train.tar
)
|
|StarNet|Resnet34_vd|8
4.44
%|rec_r34_vd_tps_bilstm_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_ctc_v2.0_train.tar
)
|
|StarNet|MobileNetV3|
81.42
%|rec_mv3_tps_bilstm_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_ctc_v2.0_train.tar
)
|
|RARE|
MobileNetV3|82.5%|rec_mv3_tps_bilstm_att |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3
_tps_bilstm_att_v2.0_train.tar
)
|
|RARE|
Resnet34_vd|83.6%|rec_r34_vd_tps_bilstm_att |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd
_tps_bilstm_att_v2.0_train.tar
)
|
|SRN|Resnet50_vd_fpn| 8
8.52
% | rec_r50fpn_vd_none_srn |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r50_vd_srn_train.tar
)
|
|NRTR|NRTR_MTB| 84.
3
% | rec_mtb_nrtr |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mtb_nrtr_train.tar
)
|
|SAR|Resnet31| 87.2% | rec_r31_sar |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_r31_sar_train.tar
)
|
|SEED|Aster_Resnet| 85.
2
% | rec_resnet_stn_bilstm_att |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_resnet_stn_bilstm_att.tar
)
|
Please refer to the document for training guide and use of PaddleOCR
|Rosetta|Resnet34_vd|
79.11
%|rec_r34_vd_none_none_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_none_ctc_v2.0_train.tar
)
|
|Rosetta|MobileNetV3|7
5.80
%|rec_mv3_none_none_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_none_ctc_v2.0_train.tar
)
|
|CRNN|Resnet34_vd|8
1.04
%|rec_r34_vd_none_bilstm_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_none_bilstm_ctc_v2.0_train.tar
)
|
|CRNN|MobileNetV3|7
7.95
%|rec_mv3_none_bilstm_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_none_bilstm_ctc_v2.0_train.tar
)
|
|StarNet|Resnet34_vd|8
2.85
%|rec_r34_vd_tps_bilstm_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd_tps_bilstm_ctc_v2.0_train.tar
)
|
|StarNet|MobileNetV3|
79.28
%|rec_mv3_tps_bilstm_ctc|
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3_tps_bilstm_ctc_v2.0_train.tar
)
|
|RARE|
Resnet34_vd|83.98%|rec_r34_vd_tps_bilstm_att |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r34_vd
_tps_bilstm_att_v2.0_train.tar
)
|
|RARE|
MobileNetV3|81.76%|rec_mv3_tps_bilstm_att |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mv3
_tps_bilstm_att_v2.0_train.tar
)
|
|SRN|Resnet50_vd_fpn| 8
6.31
% | rec_r50fpn_vd_none_srn |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_r50_vd_srn_train.tar
)
|
|NRTR|NRTR_MTB| 84.
21
% | rec_mtb_nrtr |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/rec_mtb_nrtr_train.tar
)
|
|SAR|Resnet31| 87.2
0
% | rec_r31_sar |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_r31_sar_train.tar
)
|
|SEED|Aster_Resnet| 85.
35
% | rec_resnet_stn_bilstm_att |
[
trained model
](
https://paddleocr.bj.bcebos.com/dygraph_v2.1/rec/rec_resnet_stn_bilstm_att.tar
)
|
Please refer to the document for training guide and use of PaddleOCR
## 2. Training
...
...
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