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* add sar, seg and other components

* [feature]: add textsnake_drrg

* documentation and dbnet related code

* [feature]: add code for kie and textsnake config

* [feature]: add CRNN and RobustScanner

* Revert "documentation and dbnet related code"

* [feature]: add textdet

* [feature]: dbnet and docs

* fix #9: [feature]: setting norms for contributing (#10)

* fix #9: [feature]: setting norms for contributing

* fix #9: [feature]: setting norms for contributing

* fix #9: [feature]: setting norms for contributing

* fix #9: [feature]: setting norms for contributing

* fix #11: update docs (#12)

* fix #11: update docs

* fix #11: update datasets.md for kie

* fix #13: update docs with toc

* fix #13: link pr to issue

* fix #13: rename section title

* fix #13: rename section title (#16)

* fix #17: update ckpt path of psenet (#18)

* Enhance/synthtext pretrain (#20)

* fix 19: add synthtext pretrained model

* fix 19: setup.cfg linting

* Format readme (#23)

* Format readme

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* try

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* Remove redudant config link

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* fix #21: refactor kie dataset & add show_results

* fix #21: update sdmgr readme and config

* fix #21: update readme of segocr

* f-str

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* format again

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* Mkae sort_vertex public api

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* fix #24: rm img_meta from inference (#25)

* Fix typos (#26)

* Fix typos

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* Ohh

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* [feature]: add nrtr (#28)

* [feature]: add nrtr

* Rename nrtr_top_dataset.py to nrtr_toy_dataset.py

Co-authored-by: Hongbin Sun <hongbin306@gmail.com>

* fix #29: update logo (#30)

* Feature/iss 33 (#34)

* fix #33: update dataset.md

* fix #33: pytest for transformer related

* Add Github CI

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* rm old ci

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* add contributing and code of conduct

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* Fix ci

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* fix

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* fix

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* Re-enable skipped test

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* good contributing link

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* Remove pytorch 1.3

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* Remove test dependency on tools

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* fix #31: pytest pass

* skip cuda

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* try

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* format

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* again

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* Revert "Remove pytorch 1.3"

This reverts commit b8d65afea82a9ba9a5ee3315aa6816d21c137c91.

* Revert me when rroi is moved to mmcv

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* Revert "Revert "Remove pytorch 1.3""

This reverts commit 1629a64b9e5aecc5536698d988e7151e04c4772d.

* Let it pass

* fix #35: add nrtr readme; update nrtr config (#36)

* fix #37: remove useless code (#38)

* np.int -> np.int32

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* out_size -> output_size

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* Add textdet unit tests (#43)

* Fix #41: test fpn_cat

* Fix #41: test fpn_cat

* Fix #41: test fpn_cat

* fix #40: add unit test for recog config, transforms, etc. (#44)

* fix #45: remove useless (#46)

* fix #47: add unit test for api (#48)

* add Dockerfile (#50)

* Textsnake tests (#51)

* add textsnake unit tests

* Remove usage of \ (#49)

* Remove usage of \

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* rebase

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* typos

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* Remove test dependency on tools/

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* Remove usage of \

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* rebase

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* typos

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* Remove test dependency on tools/

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* typo

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* KIE in keywords

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* some renames

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* kill isort skip

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* aggregation discrimination

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* aggregation discrimination

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* tiny

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* fix bug: model infer on cpu

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* fix #52: update readme (#53)

* fix #39: update crnn & robustscanner. (#54)

* fix #55: update nrtr readme (#56)

Co-authored-by: HolyCrap96 <theochan666@gmail.com>
Co-authored-by: quincylin1 <quincylin.333@gmail.com>
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2021-04-06 14:56:33 +00:00

README.md

version1.0 (#57 )

2021-04-06 14:56:33 +00:00

robust_scanner_toy_dataset.py

version1.0 (#57 )

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robustscanner_r31_academic.py

version1.0 (#57 )

2021-04-06 14:56:33 +00:00

README.md

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

Introduction

[ALGORITHM]

@inproceedings{yue2020robustscanner,
  title={RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition},
  author={Yue, Xiaoyu and Kuang, Zhanghui and Lin, Chenhao and Sun, Hongbin and Zhang, Wayne},
  booktitle={European Conference on Computer Vision},
  year={2020}
}

Dataset

Train Dataset

trainset	instance_num	repeat_num	source
icdar_2011	3567	20	real
icdar_2013	848	20	real
icdar2015	4468	20	real
coco_text	42142	20	real
IIIT5K	2000	20	real
SynthText	2400000	1	synth
SynthAdd	1216889	1	synth, 1.6m in [1]
Syn90k	2400000	1	synth

Test Dataset

testset	instance_num	type
IIIT5K	3000	regular
SVT	647	regular
IC13	1015	regular
IC15	2077	irregular
SVTP	645	irregular, 639 in [1]
CT80	288	irregular

Results and Models

Methods	GPUs		Regular Text				Irregular Text		download
		IIIT5K	SVT	IC13		IC15	SVTP	CT80
RobustScanner	16	95.1	89.2	93.1		77.8	80.3	90.3	model \| log

References

[1] Li, Hui and Wang, Peng and Shen, Chunhua and Zhang, Guyu. Show, attend and read: A simple and strong baseline for irregular text recognition. In AAAI 2019.