한글문장 OCR

메인 논문

parksunwoo/ocr_kor: 딥러닝을 활용한 한글문장 OCR 연구 (github.com) 박선우

parksunwoo/ocr_kor

HCLT2019_deeplearningOCR.pdf

1.23MB

 

핵심: ocr_kor/deep-text-recognition-benchmark/modules/

변환	추출	시퀀스	예측모델
TPS	VGG	BiLSTM	Attn

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1. 변환 (TPS)

CRNN-with-STN/spatial_transformer.py at master · sbillburg/CRNN-with-STN (github.com)

Spatial Transformer Networks(STN) and its implementation | by Shanlin Sun | Medium

transformation.py

0.01MB

 

RARE(2016).pdf

1.07MB

 

 

The TPS transformation is configured by a set of fiducial points, whose coordinates are regressed by a convolutional neural network.

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2. 추출 (VGG)

feature_extraction.py

0.01MB

 

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3. 시퀀스 (BiLSTM)

 

sequence_modeling.py

0.00MB

 

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4. 예측 (Attn)

prediction.py

0.00MB

 

 

pytorch:Spatial Transformer Networks Tutorial : 네이버 블로그 (naver.com)

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What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis (ICCV 2019 Oral) – Clova AI Research Blog (clova-ai.blog)