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58 lines
1.8 KiB
Python
58 lines
1.8 KiB
Python
# Text Recognition Testing set, including:
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# Regular Datasets: IIIT5K, SVT, IC13
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# Irregular Datasets: IC15, SVTP, CT80
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test_root = 'data/mixture'
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test_img_prefix1 = f'{test_root}/IIIT5K/'
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test_img_prefix2 = f'{test_root}/svt/'
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test_img_prefix3 = f'{test_root}/icdar_2013/'
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test_img_prefix4 = f'{test_root}/icdar_2015/'
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test_img_prefix5 = f'{test_root}/svtp/'
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test_img_prefix6 = f'{test_root}/ct80/'
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test_ann_file1 = f'{test_root}/IIIT5K/test_label.txt'
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test_ann_file2 = f'{test_root}/svt/test_label.txt'
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test_ann_file3 = f'{test_root}/icdar_2013/test_label_1015.txt'
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test_ann_file4 = f'{test_root}/icdar_2015/test_label.txt'
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test_ann_file5 = f'{test_root}/svtp/test_label.txt'
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test_ann_file6 = f'{test_root}/ct80/test_label.txt'
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test1 = dict(
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type='OCRDataset',
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img_prefix=test_img_prefix1,
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ann_file=test_ann_file1,
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loader=dict(
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type='AnnFileLoader',
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repeat=1,
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file_format='txt',
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parser=dict(
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type='LineStrParser',
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keys=['filename', 'text'],
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keys_idx=[0, 1],
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separator=' ')),
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pipeline=None,
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test_mode=True)
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test2 = {key: value for key, value in test1.items()}
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test2['img_prefix'] = test_img_prefix2
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test2['ann_file'] = test_ann_file2
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test3 = {key: value for key, value in test1.items()}
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test3['img_prefix'] = test_img_prefix3
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test3['ann_file'] = test_ann_file3
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test4 = {key: value for key, value in test1.items()}
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test4['img_prefix'] = test_img_prefix4
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test4['ann_file'] = test_ann_file4
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test5 = {key: value for key, value in test1.items()}
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test5['img_prefix'] = test_img_prefix5
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test5['ann_file'] = test_ann_file5
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test6 = {key: value for key, value in test1.items()}
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test6['img_prefix'] = test_img_prefix6
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test6['ann_file'] = test_ann_file6
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test_list = [test1, test2, test3, test4, test5, test6]
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