mirror of https://github.com/open-mmlab/mmocr.git
46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
_base_ = [
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'_base_dbnet_resnet18_fpnc.py',
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'../_base_/datasets/synthtext.py',
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'../_base_/pretrain_runtime.py',
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'../_base_/schedules/schedule_sgd_100k.py',
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]
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train_pipeline = [
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dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
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dict(
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type='LoadOCRAnnotations',
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with_polygon=True,
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with_bbox=True,
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with_label=True,
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),
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dict(type='FixInvalidPolygon'),
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dict(
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type='TorchVisionWrapper',
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op='ColorJitter',
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brightness=32.0 / 255,
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saturation=0.5),
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dict(
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type='ImgAugWrapper',
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args=[['Fliplr', 0.5],
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dict(cls='Affine', rotate=[-10, 10]), ['Resize', [0.5, 3.0]]]),
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dict(type='RandomCrop', min_side_ratio=0.1),
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dict(type='Resize', scale=(640, 640), keep_ratio=True),
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dict(type='Pad', size=(640, 640)),
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dict(
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type='PackTextDetInputs',
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meta_keys=('img_path', 'ori_shape', 'img_shape'))
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]
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# dataset settings
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synthtext_textdet_train = _base_.synthtext_textdet_train
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synthtext_textdet_train.pipeline = train_pipeline
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train_dataloader = dict(
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batch_size=16,
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num_workers=8,
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persistent_workers=True,
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sampler=dict(type='DefaultSampler', shuffle=True),
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dataset=synthtext_textdet_train)
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auto_scale_lr = dict(base_batch_size=16)
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