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mmocr/projects/SPTS/config/_base_/datasets/mlt-spts.py

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[SPTS] train (#1756) * [Feature] Add RepeatAugSampler * initial commit * spts inference done * merge repeat_aug (bug in multi-node?) * fix inference * train done * rm readme * Revert "merge repeat_aug (bug in multi-node?)" This reverts commit 393506a97cbe6d75ad1f28611ea10eba6b8fa4b3. * Revert "[Feature] Add RepeatAugSampler" This reverts commit 2089b02b4844157670033766f257b5d1bca452ce. * remove utils * readme & conversion script * update readme * fix * optimize * rename cfg & del compose * fix * fix * tmp commit * update training setting * update cfg * update readme * e2e metric * update cfg * fix * update readme * fix * update
2023-03-07 14:18:01 +08:00
mlt_textspotting_data_root = 'spts-data/mlt2017'
[Model] SPTS (#1696) * [Feature] Add RepeatAugSampler * initial commit * spts inference done * merge repeat_aug (bug in multi-node?) * fix inference * train done * rm readme * Revert "merge repeat_aug (bug in multi-node?)" This reverts commit 393506a97cbe6d75ad1f28611ea10eba6b8fa4b3. * Revert "[Feature] Add RepeatAugSampler" This reverts commit 2089b02b4844157670033766f257b5d1bca452ce. * remove utils * readme & conversion script * update readme * fix * optimize * rename cfg & del compose * fix * fix
2023-02-01 11:58:03 +08:00
mlt_textspotting_train = dict(
type='AdelDataset',
data_root=mlt_textspotting_data_root,
ann_file='train.json',
data_prefix=dict(img_path='MLT_train_images/'),
filter_cfg=dict(filter_empty_gt=True, min_size=32),
pipeline=None)