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img_norm_cfg = dict(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='ResizeOCR',
height=32,
min_width=100,
max_width=100,
keep_aspect_ratio=False,
width_downsample_ratio=0.25),
dict(type='ToTensorOCR'),
dict(type='NormalizeOCR', **img_norm_cfg),
dict(
type='Collect',
keys=['img'],
meta_keys=[
'filename', 'ori_shape', 'img_shape', 'text', 'valid_ratio',
'resize_shape'
]),
]
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='MultiRotateAugOCR',
rotate_degrees=[0, 90, 270],
transforms=[
dict(
type='ResizeOCR',
height=32,
min_width=100,
max_width=100,
keep_aspect_ratio=False,
width_downsample_ratio=0.25),
dict(type='ToTensorOCR'),
dict(type='NormalizeOCR', **img_norm_cfg),
dict(
type='Collect',
keys=['img'],
meta_keys=[
'filename', 'ori_shape', 'img_shape', 'valid_ratio',
'resize_shape', 'img_norm_cfg', 'ori_filename'
]),
])
]
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