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[Fix] Test svtr_small instead of svtr_tiny (#1786)

pull/1787/head
Tong Gao 2023-03-20 11:09:53 +08:00 committed by GitHub
parent 9caacc76ee
commit 506f7d296e
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3 changed files with 4 additions and 4 deletions
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2
.dev_scripts/benchmark_full_models.txt
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@ -15,4 +15,4 @@ textrecog/sar/sar_resnet31_parallel-decoder_5e_st-sub_mj-sub_sa_real.py
textrecog/satrn/satrn_shallow-small_5e_st_mj.py
textrecog/satrn/satrn_shallow-small_5e_st_mj.py
textrecog/aster/aster_resnet45_6e_st_mj.py
textrecog/svtr/svtr-tiny_20e_st_mj.py
textrecog/svtr/svtr-small_20e_st_mj.py

2
.dev_scripts/benchmark_train_models.txt
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@ -6,4 +6,4 @@ textrecog/crnn/crnn_mini-vgg_5e_mj.py
textrecog/aster/aster_resnet45_6e_st_mj.py
textrecog/nrtr/nrtr_resnet31-1by16-1by8_6e_st_mj.py
textrecog/sar/sar_resnet31_parallel-decoder_5e_st-sub_mj-sub_sa_real.py
textrecog/svtr/svtr-tiny_20e_st_mj.py
textrecog/svtr/svtr-small_20e_st_mj.py

4
configs/textrecog/svtr/README.md
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@ -37,12 +37,12 @@ Dominant scene text recognition models commonly contain two building blocks, a v
| Methods | | Regular Text | | | | Irregular Text | | download |
| :---------------------------------------------------------------: | :----: | :----------: | :-------: | :-: | :-------: | :------------: | :----: | :--------------------------------------------------------------------------: |
| | IIIT5K | SVT | IC13-1015 | | IC15-2077 | SVTP | CT80 | |
| [SVTR-tiny](/configs/textrecog/svtr/svtr-tiny_20e_st_mj.py) | - | - | - | | - | - | - | [model](<>) \| [log](<>) |
| [SVTR-tiny](/configs/textrecog/svtr/svtr-tiny_20e_st_mj.py) | - | - | - | | - | - | - | - |
| [SVTR-small](/configs/textrecog/svtr/svtr-small_20e_st_mj.py) | 0.8553 | 0.9026 | 0.9448 | | 0.7496 | 0.8496 | 0.8854 | [model](https://download.openmmlab.com/mmocr/textrecog/svtr/svtr-small_20e_st_mj/svtr-small_20e_st_mj-35d800d6.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/svtr/svtr-small_20e_st_mj/20230105_184454.log) |
| [SVTR-small-TTA](/configs/textrecog/svtr/svtr-small_20e_st_mj.py) | 0.8397 | 0.8964 | 0.9241 | | 0.7597 | 0.8124 | 0.8646 | |
| [SVTR-base](/configs/textrecog/svtr/svtr-base_20e_st_mj.py) | 0.8570 | 0.9181 | 0.9438 | | 0.7448 | 0.8388 | 0.9028 | [model](https://download.openmmlab.com/mmocr/textrecog/svtr/svtr-base_20e_st_mj/svtr-base_20e_st_mj-ea500101.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/svtr/svtr-base_20e_st_mj/20221227_175415.log) |
| [SVTR-base-TTA](/configs/textrecog/svtr/svtr-base_20e_st_mj.py) | 0.8517 | 0.9011 | 0.9379 | | 0.7569 | 0.8279 | 0.8819 | |
| [SVTR-large](/configs/textrecog/svtr/svtr-large_20e_st_mj.py) | - | - | - | | - | - | - | [model](<>) \| [log](<>) |
| [SVTR-large](/configs/textrecog/svtr/svtr-large_20e_st_mj.py) | - | - | - | | - | - | - | - |
```{note}
The implementation and configuration follow the original code and paper, but there is still a gap between the reproduced results and the official ones. We appreciate any suggestions to improve its performance.