mirror of https://github.com/open-mmlab/mmocr.git
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dataset_zoo/svtp
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Name: 'Street View Text Perspective (SVT-P)'
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Paper:
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Title: Recognizing Text with Perspective Distortion in Natural Scenes
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URL: https://openaccess.thecvf.com/content_iccv_2013/papers/Phan_Recognizing_Text_with_2013_ICCV_paper.pdf
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Venue: ICCV
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Year: '2013'
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BibTeX: '@inproceedings{phan2013recognizing,
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title={Recognizing text with perspective distortion in natural scenes},
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author={Phan, Trung Quy and Shivakumara, Palaiahnakote and Tian, Shangxuan and Tan, Chew Lim},
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booktitle={Proceedings of the IEEE International Conference on Computer Vision},
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pages={569--576},
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year={2013}}'
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Data:
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Website: http://www.comp.nus.edu.sg/~phanquyt/
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Language:
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- English
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Scene:
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- Natural Scene
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Granularity:
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- Word
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Tasks:
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- textrecog
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License:
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Type: N/A
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Link: N/A
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Format: .txt
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**Text Recognition**
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```txt
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13_15_0_par.jpg WYNDHAM
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13_15_1_par.jpg HOTEL
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12_16_0_par.jpg UNITED
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```
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data_root = 'data/svtp'
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cache_path = 'data/cache'
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data_obtainer = dict(
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type='NaiveDataObtainer',
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cache_path=cache_path,
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data_root=data_root,
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files=[
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dict(
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url='https://download.openmmlab.com/mmocr/data/svtp.zip',
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save_name='svtp.zip',
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md5='4232b46c81ba99eea6d057dcb06b8f75',
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split=['test'],
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content=['image', 'annotation'],
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mapping=[['svtp/par1', 'textrecog_imgs/test'],
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['svtp/gt.txt', 'annotations/test.txt']]),
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])
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data_converter = dict(
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type='TextRecogDataConverter',
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splits=['test'],
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data_root=data_root,
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gatherer=dict(type='mono_gather', mapping="f'{split}.txt'"),
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parser=dict(
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type='ICDARTxtTextRecogAnnParser', separator=' ', format='img text'),
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dumper=dict(type='JsonDumper'),
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delete=['svtp', 'annotations'])
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