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[Enchance] batch size information in readme #1778
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Codecov ReportPatch coverage:
Additional details and impacted files@@ Coverage Diff @@
## dev-1.x #1778 +/- ##
===========================================
- Coverage 90.13% 89.89% -0.25%
===========================================
Files 190 191 +1
Lines 11128 11197 +69
Branches 1567 1578 +11
===========================================
+ Hits 10030 10065 +35
- Misses 790 821 +31
- Partials 308 311 +3
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Missing SVTR
| [DBNet_r18](/configs/textdet/dbnet/dbnet_resnet18_fpnc_100k_synthtext.py) | ResNet18 | SynthText | 100,000 | [model](https://download.openmmlab.com/mmocr/textdet/dbnet/dbnet_resnet18_fpnc_100k_synthtext/dbnet_resnet18_fpnc_100k_synthtext-2e9bf392.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/dbnet/dbnet_resnet18_fpnc_100k_synthtext/20221214_150351.log) | | ||
| Method | Backbone | Training set | #iters | Download | Batch Size | | ||
| :-----------------------------------------------------------------------: | :------: | :----------: | :-----: | :----------------------------------------------------------------------------------------: | :--------: | | ||
| [DBNet_r18](/configs/textdet/dbnet/dbnet_resnet18_fpnc_100k_synthtext.py) | ResNet18 | SynthText | 100,000 | [model](https://download.openmmlab.com/mmocr/textdet/dbnet/dbnet_resnet18_fpnc_100k_synthtext/dbnet_resnet18_fpnc_100k_synthtext-2e9bf392.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/dbnet/dbnet_resnet18_fpnc_100k_synthtext/20221214_150351.log) | 1xb16 | |
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Need to change the batch size format to avoid confusion for beginners:
1xb16
-> 1 x 16
.
Same for others.
| [FCENet_r50](/configs/textdet/fcenet/fcenet_resnet50_fpn_1500e_totaltext.py) | ResNet50 | - | Totaltext Train | Totaltext Test | 1500 | (1280, 960) | 0.8485 | 0.7810 | 0.8134 | [model](https://download.openmmlab.com/mmocr/textdet/fcenet/fcenet_resnet50_fpn_1500e_totaltext/fcenet_resnet50_fpn_1500e_totaltext-91bd37af.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/fcenet/fcenet_resnet50_fpn_1500e_totaltext/20221219_201107.log) | | ||
| Method | Backbone | Pretrained Model | Training set | Test set | #epochs | Test size | Precision | Recall | Hmean | Download | Batch Size | | ||
| :----------------------------------------------: | :------: | :--------------: | :-------------: | :------------: | :-----: | :---------: | :-------: | :----: | :----: | :------------------------------------------------: | :--------: | | ||
| [FCENet_r50](/configs/textdet/fcenet/fcenet_resnet50_fpn_1500e_totaltext.py) | ResNet50 | - | Totaltext Train | Totaltext Test | 1500 | (1280, 960) | 0.8485 | 0.7810 | 0.8134 | [model](https://download.openmmlab.com/mmocr/textdet/fcenet/fcenet_resnet50_fpn_1500e_totaltext/fcenet_resnet50_fpn_1500e_totaltext-91bd37af.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/fcenet/fcenet_resnet50_fpn_1500e_totaltext/20221219_201107.log) | 1xb8 | |
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4 x 4
| [PANet](/configs/textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015.py) | ImageNet | ICDAR2015 Train | ICDAR2015 Test | 600 | 736 | 0.8455 | 0.7323 | 0.7848 | [model](https://download.openmmlab.com/mmocr/textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015/panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817-be2acdb4.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015/20220826_144817.log) | | ||
| Method | Pretrained Model | Training set | Test set | #epochs | Test size | Precision | Recall | Hmean | Download | Batch Size | | ||
| :---------------------------------------------------: | :--------------: | :-------------: | :------------: | :-----: | :-------: | :-------: | :----: | :----: | :-----------------------------------------------------: | :--------: | | ||
| [PANet](/configs/textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015.py) | ImageNet | ICDAR2015 Train | ICDAR2015 Test | 600 | 736 | 0.8455 | 0.7323 | 0.7848 | [model](https://download.openmmlab.com/mmocr/textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015/panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817-be2acdb4.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015/20220826_144817.log) | 1xb16 | |
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1 x 64
| [PSENet](/configs/textdet/psenet/psenet_resnet50_fpnf_600e_ctw1500.py) | ResNet50 | - | CTW1500 Train | CTW1500 Test | 600 | 1280 | 0.7705 | 0.7883 | 0.7793 | [model](https://download.openmmlab.com/mmocr/textdet/psenet/psenet_resnet50_fpnf_600e_ctw1500/psenet_resnet50_fpnf_600e_ctw1500_20220825_221459-7f974ac8.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/psenet/psenet_resnet50_fpnf_600e_ctw1500/20220825_221459.log) | 16xb16 | | ||
| [PSENet_r50-oclip](/configs/textdet/psenet/psenet_resnet50-oclip_fpnf_600e_ctw1500.py) | [ResNet50-oCLIP](https://download.openmmlab.com/mmocr/backbone/resnet50-oclip-7ba0c533.pth) | - | CTW1500 Train | CTW1500 Test | 600 | 1280 | 0.8483 | 0.7636 | 0.8037 | [model](https://download.openmmlab.com/mmocr/textdet/psenet/psenet_resnet50-oclip_fpnf_600e_ctw1500/psenet_resnet50-oclip_fpnf_600e_ctw1500_20221101_140406-d431710d.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/psenet/psenet_resnet50-oclip_fpnf_600e_ctw1500/20221101_140406.log) | 16xb16 | |
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1 x 16
| [PSENet](/configs/textdet/psenet/psenet_resnet50_fpnf_600e_icdar2015.py) | ResNet50 | - | IC15 Train | IC15 Test | 600 | 2240 | 0.8396 | 0.7636 | 0.7998 | [model](https://download.openmmlab.com/mmocr/textdet/psenet/psenet_resnet50_fpnf_600e_icdar2015/psenet_resnet50_fpnf_600e_icdar2015_20220825_222709-b6741ec3.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/psenet/psenet_resnet50_fpnf_600e_icdar2015/20220825_222709.log) | 16xb16 | | ||
| [PSENet_r50-oclip](/configs/textdet/psenet/psenet_resnet50-oclip_fpnf_600e_icdar2015.py) | [ResNet50-oCLIP](https://download.openmmlab.com/mmocr/backbone/resnet50-oclip-7ba0c533.pth) | - | IC15 Train | IC15 Test | 600 | 2240 | 0.8895 | 0.8098 | 0.8478 | [model](https://download.openmmlab.com/mmocr/textdet/psenet/psenet_resnet50-oclip_fpnf_600e_icdar2015/psenet_resnet50-oclip_fpnf_600e_icdar2015_20221101_131357-2bdca389.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/psenet/psenet_resnet50-oclip_fpnf_600e_icdar2015/20221101_131357.log) | 16xb16 | |
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1 x 16
| :-----------------------------------------------------------: | :------: | :----: | :----------: | :-------: | :-: | :-------: | :------------: | :----: | :------------------------------------------------------------: | :--------: | | ||
| | | IIIT5K | SVT | IC13-1015 | | IC15-2077 | SVTP | CT80 | | | | ||
| [ASTER](/configs/textrecog/aster/aster_resnet45_6e_st_mj.py) | ResNet45 | 0.9357 | 0.8949 | 0.9281 | | 0.7665 | 0.8062 | 0.8507 | [model](https://download.openmmlab.com/mmocr/textrecog/aster/aster_resnet45_6e_st_mj/aster_resnet45_6e_st_mj-cc56eca4.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/aster/aster_resnet45_6e_st_mj/20221214_232605.log) | | | ||
| [ASTER-TTA](/configs/textrecog/aster/aster_resnet45_6e_st_mj.py) | ResNet45 | 0.9337 | 0.8949 | 0.9251 | | 0.7925 | 0.8109 | 0.8507 | | 1xb1024 | |
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4 x 1024; and it should be placed to [ASTER]
| :--------------------------------------------------------: | :----: | :----------: | :-------: | :-: | :-------: | :------------: | :----: | :-----------------------------------------------------------------------: | :--------: | | ||
| methods | IIIT5K | SVT | IC13-1015 | | IC15-2077 | SVTP | CT80 | | | | ||
| [CRNN](/configs/textrecog/crnn/crnn_mini-vgg_5e_mj.py) | 0.8053 | 0.7991 | 0.8739 | | 0.5571 | 0.6093 | 0.5694 | [model](https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_mini-vgg_5e_mj/crnn_mini-vgg_5e_mj_20220826_224120-8afbedbb.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_mini-vgg_5e_mj/20220826_224120.log) | | | ||
| [CRNN-TTA](/configs/textrecog/crnn/crnn_mini-vgg_5e_mj.py) | 0.8013 | 0.7975 | 0.8631 | | 0.5763 | 0.6093 | 0.5764 | [model](https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_mini-vgg_5e_mj/crnn_mini-vgg_5e_mj_20220826_224120-8afbedbb.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_mini-vgg_5e_mj/20220826_224120.log) | 4xb64 | |
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1 x 64, wrong place
| :--------------------------------------------------------: | :-----------: | :----: | :----------: | :-------: | :-: | :-------: | :------------: | :----: | :----------------------------------------------------------: | :--------: | | ||
| | | IIIT5K | SVT | IC13-1015 | | IC15-2077 | SVTP | CT80 | | | | ||
| [MASTER](/configs/textrecog/master/master_resnet31_12e_st_mj_sa.py) | R31-GCAModule | 0.9490 | 0.8887 | 0.9517 | | 0.7650 | 0.8465 | 0.8889 | [model](https://download.openmmlab.com/mmocr/textrecog/master/master_resnet31_12e_st_mj_sa/master_resnet31_12e_st_mj_sa_20220915_152443-f4a5cabc.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/master/master_resnet31_12e_st_mj_sa/20220915_152443.log) | | | ||
| [MASTER-TTA](/configs/textrecog/master/master_resnet31_12e_st_mj_sa.py) | R31-GCAModule | 0.9450 | 0.8887 | 0.9478 | | 0.7906 | 0.8481 | 0.8958 | | 4xb512 | |
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wrong plac
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