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| data_root = 'data/mjsynth' | |
| cache_path = 'data/cache' | |
| train_preparer = dict( | |
| obtainer=dict( | |
| type='NaiveDataObtainer', | |
| cache_path=cache_path, | |
| files=[ | |
| dict( | |
| url='https://thor.robots.ox.ac.uk/~vgg/data/text/' | |
| 'mjsynth.tar.gz', | |
| save_name='mjsynth.tar.gz', | |
| md5='7bf2b60ad935eaf64e5b606f782d68e5', | |
| split=['train'], | |
| content=['image', 'annotation'], | |
| mapping=[ | |
| [ | |
| 'mjsynth/mnt/ramdisk/max/90kDICT32px/*/', | |
| 'textrecog_imgs/train/' | |
| ], | |
| [ | |
| 'mjsynth/mnt/ramdisk/max/90kDICT32px/annotation.txt', | |
| 'annotations/annotation.txt' | |
| ] | |
| ]), | |
| dict( | |
| url='https://download.openmmlab.com/mmocr/data/1.x/recog/' | |
| 'Syn90k/subset_textrecog_train.json', | |
| save_name='subset_textrecog_train.json', | |
| md5='ba958d87bb170980f39e194180c15b9e', | |
| split=['train'], | |
| content=['annotation']) | |
| ]), | |
| gatherer=dict(type='MonoGatherer', ann_name='annotation.txt'), | |
| parser=dict( | |
| type='MJSynthAnnParser', | |
| separator=' ', | |
| format='img num', | |
| remove_strs=None), | |
| packer=dict(type='TextRecogPacker'), | |
| dumper=dict(type='JsonDumper'), | |
| ) | |
| delete = ['mjsynth', 'annotations'] | |
| config_generator = dict( | |
| type='TextRecogConfigGenerator', | |
| data_root=data_root, | |
| train_anns=[ | |
| dict(ann_file='textrecog_train.json', dataset_postfix=''), | |
| dict(ann_file='subset_textrecog_train.json', dataset_postfix='sub'), | |
| ], | |
| test_anns=None) | |