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# The transcription of NAF dataset is annotated from Tessaract OCR, which is
# not accurate. The test/valid set ones were hand corrected, but the train set
# was only hand corrected a little. They aren't very good results. Better
# not to use them for recognition and text spotting.
_base_ = ['textdet.py']
_base_.train_preparer.parser.update(dict(ignore=['¿', '§'], det=False))
_base_.test_preparer.parser.update(dict(ignore=['¿', '§'], det=False))
_base_.val_preparer.parser.update(dict(ignore=['¿', '§'], det=False))
_base_.train_preparer.packer.type = 'TextSpottingPacker'
_base_.test_preparer.packer.type = 'TextSpottingPacker'
_base_.val_preparer.packer.type = 'TextSpottingPacker'
_base_.train_preparer.gatherer.img_dir = 'textdet_imgs/train'
_base_.test_preparer.gatherer.img_dir = 'textdet_imgs/test'
_base_.val_preparer.gatherer.img_dir = 'textdet_imgs/val'
config_generator = dict(
type='TextSpottingConfigGenerator',
val_anns=[dict(ann_file='textspotting_val.json', dataset_postfix='')])
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