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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=128,
max_width=128,
keep_aspect_ratio=False,
width_downsample_ratio=0.25),
dict(
type='RandomWrapper',
p=0.5,
transforms=[
dict(
type='OneOfWrapper',
transforms=[
dict(
type='RandomRotateTextDet',
max_angle=15,
),
dict(
type='TorchVisionWrapper',
op='RandomAffine',
degrees=15,
translate=(0.3, 0.3),
scale=(0.5, 2.),
shear=(-45, 45),
),
dict(
type='TorchVisionWrapper',
op='RandomPerspective',
distortion_scale=0.5,
p=1,
),
])
],
),
dict(
type='RandomWrapper',
p=0.25,
transforms=[
dict(type='PyramidRescale'),
dict(
type='Albu',
transforms=[
dict(type='GaussNoise', var_limit=(20, 20), p=0.5),
dict(type='MotionBlur', blur_limit=6, p=0.5),
]),
]),
dict(
type='RandomWrapper',
p=0.25,
transforms=[
dict(
type='TorchVisionWrapper',
op='ColorJitter',
brightness=0.5,
saturation=0.5,
contrast=0.5,
hue=0.1),
]),
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=128,
max_width=128,
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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