data_root = 'data/icdar2013'
cache_path = 'data/cache'

train_preparer = dict(
    obtainer=dict(
        type='NaiveDataObtainer',
        cache_path=cache_path,
        files=[
            dict(
                url='https://rrc.cvc.uab.es/downloads/'
                'Challenge2_Training_Task12_Images.zip',
                save_name='ic13_textdet_train_img.zip',
                md5='a443b9649fda4229c9bc52751bad08fb',
                content=['image'],
                mapping=[['ic13_textdet_train_img', 'textdet_imgs/train']]),
            dict(
                url='https://rrc.cvc.uab.es/downloads/'
                'Challenge2_Training_Task1_GT.zip',
                save_name='ic13_textdet_train_gt.zip',
                md5='f3a425284a66cd67f455d389c972cce4',
                content=['annotation'],
                mapping=[['ic13_textdet_train_gt', 'annotations/train']]),
        ]),
    gatherer=dict(
        type='PairGatherer',
        img_suffixes=['.jpg'],
        rule=[r'(\w+)\.jpg', r'gt_\1.txt']),
    parser=dict(
        type='ICDARTxtTextDetAnnParser',
        remove_strs=[',', '"'],
        format='x1 y1 x2 y2 trans',
        separator=' ',
        mode='xyxy'),
    packer=dict(type='TextDetPacker'),
    dumper=dict(type='JsonDumper'),
)

test_preparer = dict(
    obtainer=dict(
        type='NaiveDataObtainer',
        cache_path=cache_path,
        files=[
            dict(
                url='https://rrc.cvc.uab.es/downloads/'
                'Challenge2_Test_Task12_Images.zip',
                save_name='ic13_textdet_test_img.zip',
                md5='af2e9f070c4c6a1c7bdb7b36bacf23e3',
                content=['image'],
                mapping=[['ic13_textdet_test_img', 'textdet_imgs/test']]),
            dict(
                url='https://rrc.cvc.uab.es/downloads/'
                'Challenge2_Test_Task1_GT.zip',
                save_name='ic13_textdet_test_gt.zip',
                md5='3191c34cd6ac28b60f5a7db7030190fb',
                content=['annotation'],
                mapping=[['ic13_textdet_test_gt', 'annotations/test']]),
        ]),
    gatherer=dict(
        type='PairGatherer',
        img_suffixes=['.jpg'],
        rule=[r'(\w+)\.jpg', r'gt_\1.txt']),
    parser=dict(
        type='ICDARTxtTextDetAnnParser',
        remove_strs=[',', '"'],
        format='x1 y1 x2 y2 trans',
        separator=' ',
        mode='xyxy'),
    packer=dict(type='TextDetPacker'),
    dumper=dict(type='JsonDumper'),
)
delete = [
    'annotations', 'ic13_textdet_train_img', 'ic13_textdet_train_gt',
    'ic13_textdet_test_img', 'ic13_textdet_test_gt'
]
config_generator = dict(type='TextDetConfigGenerator')