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Hongbin Sun 2021-05-14 00:17:33 +08:00 committed by GitHub
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12 changed files with 80 additions and 88 deletions
configs

1
configs/kie/sdmgr/metafile.yml
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@ -7,6 +7,7 @@ Collections:
Training Resources: 1x GeForce GTX 1080 Ti
Architecture:
- UNet
- SDMGRHead
Paper: https://arxiv.org/abs/2103.14470.pdf
README: configs/kie/sdmgr/README.md

5
configs/textdet/dbnet/metafile.yml
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@ -4,6 +4,7 @@ Collections:
Training Data: ICDAR2015
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x GeForce GTX 1080 Ti
Architecture:
- ResNet
@ -18,7 +19,7 @@ Models:
Metadata:
Training Data: ICDAR2015
Results:
- Task: Instance Segmentation
- Task: Text Detection
Dataset: ICDAR2015
Metrics:
hmean-iou: 0.795
@ -30,7 +31,7 @@ Models:
Metadata:
Training Data: ICDAR2015
Results:
- Task: Instance Segmentation
- Task: Text Detection
Dataset: ICDAR2015
Metrics:
hmean-iou: 0.830

12
configs/textdet/maskrcnn/metafile.yml
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@ -1,12 +1,14 @@
Collections:
- Name: Mask R-CNN
Metadata:
Training Data: ICDARDataset
Training Data: ICDAR SCUT-CTW1500
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x GeForce GTX 1080 Ti
Architecture:
- RoI Align
- ResNet
- FPN
- RPN
Paper: https://arxiv.org/pdf/1703.06870.pdf
README: configs/textdet/maskrcnn/README.md
@ -18,7 +20,7 @@ Models:
Metadata:
Training Data: CTW1500
Results:
- Task: Instance Segmentation
- Task: Text Detection
Dataset: CTW1500
Metrics:
hmean: 0.732
@ -30,7 +32,7 @@ Models:
Metadata:
Training Data: ICDAR2015
Results:
- Task: Instance Segmentation
- Task: Text Detection
Dataset: ICDAR2015
Metrics:
hmean: 0.825
@ -42,7 +44,7 @@ Models:
Metadata:
Training Data: ICDAR2017
Results:
- Task: Instance Segmentation
- Task: Text Detection
Dataset: ICDAR2017
Metrics:
hmean: 0.789

18
configs/textdet/panet/metafile.yml
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@ -1,7 +1,7 @@
Collections:
- Name: PANet
Metadata:
Training Data: ICDARDataset
Training Data: ICDAR SCUT-CTW1500
Training Techniques:
- Adam
Training Resources: 8x GeForce GTX 1080 Ti
@ -18,7 +18,7 @@ Models:
Metadata:
Training Data: CTW1500
Results:
- Task: Instance Segmentation
- Task: Text Detection
Dataset: CTW1500
Metrics:
hmean-iou: 0.806
@ -30,20 +30,8 @@ Models:
Metadata:
Training Data: ICDAR2015
Results:
- Task: Instance Segmentation
- Task: Text Detection
Dataset: ICDAR2015
Metrics:
hmean-iou: 0.791
Weights: https://download.openmmlab.com/mmocr/textdet/panet/panet_r18_fpem_ffm_sbn_600e_icdar2015_20210219-42dbe46a.pth
- Name: panet_r50_fpem_ffm_600e_icdar2017
In Collection: PANet
Config: configs/textdet/panet/panet_r50_fpem_ffm_600e_icdar2017.py
Metadata:
Training Data: ICDAR2017
Results:
- Task: Instance Segmentation
Dataset: ICDAR2017
Metrics:
hmean-iou:
Weights:

12
configs/textdet/psenet/metafile.yml
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@ -1,7 +1,7 @@
Collections:
- Name: PSENet
Metadata:
Training Data: ICDARDataset
Training Data: ICDAR SCUT-CTW1500
Training Techniques:
- Adam
Training Resources: 8x GeForce GTX 1080 Ti
@ -18,7 +18,7 @@ Models:
Metadata:
Training Data: CTW1500
Results:
- Task: Instance Segmentation
- Task: Text Detection
Dataset: CTW1500
Metrics:
hmean-iou: 0.784
@ -30,7 +30,7 @@ Models:
Metadata:
Training Data: ICDAR2015
Results:
- Task: Instance Segmentation
- Task: Text Detection
Dataset: ICDAR2015
Metrics:
hmean-iou: 0.807
@ -40,10 +40,10 @@ Models:
In Collection: PSENet
Config: configs/textdet/psenet/psenet_r50_fpnf_600e_icdar2015.py
Metadata:
Training Data: ICDAR2017
Training Data: ICDAR2017 ICDAR2015
Results:
- Task: Instance Segmentation
Dataset: ICDAR2017
- Task: Text Detection
Dataset: ICDAR2017 ICDAR2015
Metrics:
hmean-iou: 0.847
Weights: https://download.openmmlab.com/mmocr/textdet/psenet/psenet_r50_fpnf_600e_icdar2015_pretrain-eefd8fe6.pth

4
configs/textdet/textsnake/metafile.yml
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@ -1,7 +1,7 @@
Collections:
- Name: TextSnake
Metadata:
Training Data: ICDARDataset
Training Data: SCUT-CTW1500
Training Techniques:
- SGD with Momentum
Training Resources: 8x GeForce GTX 1080 Ti
@ -18,7 +18,7 @@ Models:
Metadata:
Training Data: CTW1500
Results:
- Task: Instance Segmentation
- Task: Text Detection
Dataset: CTW1500
Metrics:
hmean-iou: 0.817

8
configs/textrecog/crnn/metafile.yml
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@ -4,6 +4,8 @@ Collections:
Training Data: OCRDataset
Training Techniques:
- Adadelta
Epochs: 5
Batch Size: 256
Training Resources: 4x GeForce GTX 1080 Ti
Architecture:
- VeryDeepVgg
@ -21,13 +23,13 @@ Models:
- Task: Regular Text Recognition
Dataset: IIIT5K
Metrics:
acc: 80.5
word_acc: 80.5
- Task: Regular Text Recognition
Dataset: SVT
Metrics:
acc: 81.5
word_acc: 81.5
- Task: Regular Text Recognition
Dataset: ICDAR2013
Metrics:
acc: 86.5
word_acc: 86.5
Weights: https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_academic-a723a1c5.pth

26
configs/textrecog/nrtr/metafile.yml
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@ -4,6 +4,8 @@ Collections:
Training Data: OCRDataset
Training Techniques:
- Adam
Epochs: 5
Batch Size: 8192
Training Resources: 64x GeForce GTX 1080 Ti
Architecture:
- ResNet31OCR
@ -24,27 +26,27 @@ Models:
- Task: Regular Text Recognition
Dataset: IIIT5K
Metrics:
acc: 93.9
word_acc: 93.9
- Task: Regular Text Recognition
Dataset: SVT
Metrics:
acc: 80.0
word_acc: 80.0
- Task: Regular Text Recognition
Dataset: ICDAR2013
Metrics:
acc: 93.5
word_acc: 93.5
- Task: Irregular Text Recognition
Dataset: ICDAR2015
Metrics:
acc: 74.5
word_acc: 74.5
- Task: Irregular Text Recognition
Dataset: SVTP
Metrics:
acc: 78.5
word_acc: 78.5
- Task: Irregular Text Recognition
Dataset: CT80
Metrics:
acc: 86.5
word_acc: 86.5
Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_r31_academic_20210406-954db95e.pth
- Name: nrtr_r31_1by8_1by4_academic
@ -58,25 +60,25 @@ Models:
- Task: Regular Text Recognition
Dataset: IIIT5K
Metrics:
acc: 94.7
word_acc: 94.7
- Task: Regular Text Recognition
Dataset: SVT
Metrics:
acc: 87.5
word_acc: 87.5
- Task: Regular Text Recognition
Dataset: ICDAR2013
Metrics:
acc: 93.3
word_acc: 93.3
- Task: Irregular Text Recognition
Dataset: ICDAR2015
Metrics:
acc: 75.1
word_acc: 75.1
- Task: Irregular Text Recognition
Dataset: SVTP
Metrics:
acc: 78.9
word_acc: 78.9
- Task: Irregular Text Recognition
Dataset: CT80
Metrics:
acc: 87.9
word_acc: 87.9
Weights: https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_r31_1by8_1by4_academic_20210406-ce16e7cc.pth

14
configs/textrecog/robust_scanner/metafile.yml
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@ -4,6 +4,8 @@ Collections:
Training Data: OCRDataset
Training Techniques:
- Adam
Epochs: 5
Batch Size: 1024
Training Resources: 16x GeForce GTX 1080 Ti
Architecture:
- ResNet31OCR
@ -30,25 +32,25 @@ Models:
- Task: Regular Text Recognition
Dataset: IIIT5K
Metrics:
acc: 95.1
word_acc: 95.1
- Task: Regular Text Recognition
Dataset: SVT
Metrics:
acc: 89.2
word_acc: 89.2
- Task: Regular Text Recognition
Dataset: ICDAR2013
Metrics:
acc: 93.1
word_acc: 93.1
- Task: Irregular Text Recognition
Dataset: ICDAR2015
Metrics:
acc: 77.8
word_acc: 77.8
- Task: Irregular Text Recognition
Dataset: SVTP
Metrics:
acc: 80.3
word_acc: 80.3
- Task: Irregular Text Recognition
Dataset: CT80
Metrics:
acc: 90.3
word_acc: 90.3
Weights: https://download.openmmlab.com/mmocr/textrecog/robustscanner/robustscanner_r31_academic-5f05874f.pth

38
configs/textrecog/sar/metafile.yml
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@ -5,6 +5,8 @@ Collections:
Training Techniques:
- Adam
Training Resources: 48x GeForce GTX 1080 Ti
Epochs: 5
Batch Size: 3072
Architecture:
- ResNet31OCR
- SAREncoder
@ -30,27 +32,27 @@ Models:
- Task: Regular Text Recognition
Dataset: IIIT5K
Metrics:
acc: 95.0
word_acc: 95.0
- Task: Regular Text Recognition
Dataset: SVT
Metrics:
acc: 89.6
word_acc: 89.6
- Task: Regular Text Recognition
Dataset: ICDAR2013
Metrics:
acc: 93.7
word_acc: 93.7
- Task: Irregular Text Recognition
Dataset: ICDAR2015
Metrics:
acc: 79.0
word_acc: 79.0
- Task: Irregular Text Recognition
Dataset: SVTP
Metrics:
acc: 82.2
word_acc: 82.2
- Task: Irregular Text Recognition
Dataset: CT80
Metrics:
acc: 88.9
word_acc: 88.9
Weights: https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_academic-a723a1c5.pth
- Name: sar_r31_sequential_decoder_academic
@ -70,37 +72,25 @@ Models:
- Task: Regular Text Recognition
Dataset: IIIT5K
Metrics:
acc: 95.2
word_acc: 95.2
- Task: Regular Text Recognition
Dataset: SVT
Metrics:
acc: 88.7
word_acc: 88.7
- Task: Regular Text Recognition
Dataset: ICDAR2013
Metrics:
acc: 92.4
word_acc: 92.4
- Task: Irregular Text Recognition
Dataset: ICDAR2015
Metrics:
acc: 78.2
word_acc: 78.2
- Task: Irregular Text Recognition
Dataset: SVTP
Metrics:
acc: 81.9
word_acc: 81.9
- Task: Irregular Text Recognition
Dataset: CT80
Metrics:
acc: 89.6
word_acc: 89.6
Weights: https://download.openmmlab.com/mmocr/textrecog/sar/sar_r31_sequential_decoder_academic-d06c9a8e.pth
- Name: sar_r31_parallel_decoder_chinese
In Collection: SAR
Config: configs/textrecog/sar/sar_r31_parallel_decoder_chinese.py
Metadata:
Training Data:
Results:
- Task:
Dataset:
Metrics:
acc:
Weights: https://download.openmmlab.com/mmocr/textrecog/sar/sar_r31_parallel_decoder_chineseocr_20210507-b4be8214.pth

14
configs/textrecog/seg/metafile.yml
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@ -1,9 +1,11 @@
Collections:
- Name: SEG
- Name: SegOCR
Metadata:
Training Data: mixture
Training Techniques:
- Adam
Epochs: 5
Batch Size: 64
Training Resources: 4x GeForce GTX 1080 Ti
Architecture:
- ResNet31OCR
@ -13,7 +15,7 @@ Collections:
Models:
- Name: seg_r31_1by16_fpnocr_academic
In Collection: SEG
In Collection: SegOCR
Config: configs/textrecog/seg/seg_r31_1by16_fpnocr_academic.py
Metadata:
Training Data: SynthText
@ -21,17 +23,17 @@ Models:
- Task: Regular Text Recognition
Dataset: IIIT5K
Metrics:
acc: 90.9
word_acc: 90.9
- Task: Regular Text Recognition
Dataset: SVT
Metrics:
acc: 81.8
word_acc: 81.8
- Task: Regular Text Recognition
Dataset: ICDAR2013
Metrics:
acc: 90.7
word_acc: 90.7
- Task: Irregular Text Recognition
Dataset: CT80
Metrics:
acc: 80.9
word_acc: 80.9
Weights: https://download.openmmlab.com/mmocr/textrecog/seg/seg_r31_1by16_fpnocr_academic-72235b11.pth

16
configs/textrecog/tps/metafile.yml
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@ -1,9 +1,11 @@
Collections:
- Name: TPS
- Name: TPS-CRNN
Metadata:
Training Data: OCRDataset
Training Techniques:
- Adadelta
Epochs: 5
Batch Size: 256
Training Resources: 4x GeForce GTX 1080 Ti
Architecture:
- TPSPreprocessor
@ -25,25 +27,25 @@ Models:
- Task: Regular Text Recognition
Dataset: IIIT5K
Metrics:
acc: 80.8
word_acc: 80.8
- Task: Regular Text Recognition
Dataset: SVT
Metrics:
acc: 81.3
word_acc: 81.3
- Task: Regular Text Recognition
Dataset: ICDAR2013
Metrics:
acc: 85.0
word_acc: 85.0
- Task: Irregular Text Recognition
Dataset: ICDAR2015
Metrics:
acc: 59.6
word_acc: 59.6
- Task: Irregular Text Recognition
Dataset: SVTP
Metrics:
acc: 68.1
word_acc: 68.1
- Task: Irregular Text Recognition
Dataset: CT80
Metrics:
acc: 53.8
word_acc: 53.8
Weights: https://download.openmmlab.com/mmocr/textrecog/tps/crnn_tps_academic_dataset_20210510-d221a905.pth