mirror of https://github.com/open-mmlab/mmocr.git
119 lines
3.9 KiB
Python
119 lines
3.9 KiB
Python
img_norm_cfg = dict(
|
|
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
|
|
|
|
# for icdar2015
|
|
leval_prop_range_icdar2015 = ((0, 0.4), (0.3, 0.7), (0.6, 1.0))
|
|
train_pipeline_icdar2015 = [
|
|
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,
|
|
contrast=0.5),
|
|
dict(type='Normalize', **img_norm_cfg),
|
|
dict(type='RandomScaling', size=800, scale=(3. / 4, 5. / 2)),
|
|
dict(
|
|
type='RandomCropFlip', crop_ratio=0.5, iter_num=1, min_area_ratio=0.2),
|
|
dict(
|
|
type='RandomCropPolyInstances',
|
|
instance_key='gt_masks',
|
|
crop_ratio=0.8,
|
|
min_side_ratio=0.3),
|
|
dict(
|
|
type='RandomRotatePolyInstances',
|
|
rotate_ratio=0.5,
|
|
max_angle=30,
|
|
pad_with_fixed_color=False),
|
|
dict(type='SquareResizePad', target_size=800, pad_ratio=0.6),
|
|
dict(type='RandomFlip', flip_ratio=0.5, direction='horizontal'),
|
|
dict(type='Pad', size_divisor=32),
|
|
dict(
|
|
type='FCENetTargets',
|
|
fourier_degree=5,
|
|
level_proportion_range=leval_prop_range_icdar2015),
|
|
dict(
|
|
type='CustomFormatBundle',
|
|
keys=['p3_maps', 'p4_maps', 'p5_maps'],
|
|
visualize=dict(flag=False, boundary_key=None)),
|
|
dict(type='Collect', keys=['img', 'p3_maps', 'p4_maps', 'p5_maps'])
|
|
]
|
|
|
|
img_scale_icdar2015 = (2260, 2260)
|
|
test_pipeline_icdar2015 = [
|
|
dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
|
|
dict(
|
|
type='MultiScaleFlipAug',
|
|
img_scale=img_scale_icdar2015,
|
|
flip=False,
|
|
transforms=[
|
|
dict(type='Resize', img_scale=(1280, 800), 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']),
|
|
])
|
|
]
|
|
|
|
# for ctw1500
|
|
leval_prop_range_ctw1500 = ((0, 0.25), (0.2, 0.65), (0.55, 1.0))
|
|
train_pipeline_ctw1500 = [
|
|
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,
|
|
contrast=0.5),
|
|
dict(type='Normalize', **img_norm_cfg),
|
|
dict(type='RandomScaling', size=800, scale=(3. / 4, 5. / 2)),
|
|
dict(
|
|
type='RandomCropFlip', crop_ratio=0.5, iter_num=1, min_area_ratio=0.2),
|
|
dict(
|
|
type='RandomCropPolyInstances',
|
|
instance_key='gt_masks',
|
|
crop_ratio=0.8,
|
|
min_side_ratio=0.3),
|
|
dict(
|
|
type='RandomRotatePolyInstances',
|
|
rotate_ratio=0.5,
|
|
max_angle=30,
|
|
pad_with_fixed_color=False),
|
|
dict(type='SquareResizePad', target_size=800, pad_ratio=0.6),
|
|
dict(type='RandomFlip', flip_ratio=0.5, direction='horizontal'),
|
|
dict(type='Pad', size_divisor=32),
|
|
dict(
|
|
type='FCENetTargets',
|
|
fourier_degree=5,
|
|
level_proportion_range=leval_prop_range_ctw1500),
|
|
dict(
|
|
type='CustomFormatBundle',
|
|
keys=['p3_maps', 'p4_maps', 'p5_maps'],
|
|
visualize=dict(flag=False, boundary_key=None)),
|
|
dict(type='Collect', keys=['img', 'p3_maps', 'p4_maps', 'p5_maps'])
|
|
]
|
|
|
|
img_scale_ctw1500 = (1080, 736)
|
|
test_pipeline_ctw1500 = [
|
|
dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
|
|
dict(
|
|
type='MultiScaleFlipAug',
|
|
img_scale=img_scale_ctw1500,
|
|
flip=False,
|
|
transforms=[
|
|
dict(type='Resize', img_scale=(1280, 800), 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']),
|
|
])
|
|
]
|