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img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
train_pipeline = [
dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
dict(
type='LoadTextAnnotations',
with_bbox=True,
with_mask=True,
poly2mask=False),
dict(type='ColorJitter', brightness=32.0 / 255, saturation=0.5),
dict(type='Normalize', **img_norm_cfg),
dict(
type='RandomCropPolyInstances',
instance_key='gt_masks',
crop_ratio=0.65,
min_side_ratio=0.3),
dict(
type='RandomRotatePolyInstances',
rotate_ratio=0.5,
max_angle=20,
pad_with_fixed_color=False),
dict(
type='ScaleAspectJitter',
img_scale=[(3000, 736)], # unused
ratio_range=(0.7, 1.3),
aspect_ratio_range=(0.9, 1.1),
multiscale_mode='value',
long_size_bound=800,
short_size_bound=480,
resize_type='long_short_bound',
keep_ratio=False),
dict(type='SquareResizePad', target_size=800, pad_ratio=0.6),
dict(type='RandomFlip', flip_ratio=0.5, direction='horizontal'),
dict(type='TextSnakeTargets'),
dict(type='Pad', size_divisor=32),
dict(
type='CustomFormatBundle',
keys=[
'gt_text_mask', 'gt_center_region_mask', 'gt_mask',
'gt_radius_map', 'gt_sin_map', 'gt_cos_map'
],
visualize=dict(flag=False, boundary_key='gt_text_mask')),
dict(
type='Collect',
keys=[
'img', 'gt_text_mask', 'gt_center_region_mask', 'gt_mask',
'gt_radius_map', 'gt_sin_map', 'gt_cos_map'
])
]
test_pipeline = [
dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
dict(
type='MultiScaleFlipAug',
img_scale=(1333, 736),
flip=False,
transforms=[
dict(type='Resize', img_scale=(1333, 736), keep_ratio=True),
dict(type='Normalize', **img_norm_cfg),
dict(type='Pad', size_divisor=32),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img']),
])
]
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