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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_r18 = [
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='ImgAug',
args=[['Fliplr', 0.5],
dict(cls='Affine', rotate=[-10, 10]), ['Resize', [0.5, 3.0]]]),
dict(type='EastRandomCrop', target_size=(640, 640)),
dict(type='DBNetTargets', shrink_ratio=0.4),
dict(type='Pad', size_divisor=32),
dict(
type='CustomFormatBundle',
keys=['gt_shrink', 'gt_shrink_mask', 'gt_thr', 'gt_thr_mask'],
visualize=dict(flag=False, boundary_key='gt_shrink')),
dict(
type='Collect',
keys=['img', 'gt_shrink', 'gt_shrink_mask', 'gt_thr', 'gt_thr_mask'])
]
test_pipeline_1333_736 = [
dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
dict(
type='MultiScaleFlipAug',
img_scale=(1333, 736), # used by Resize
flip=False,
transforms=[
dict(type='Resize', 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 dbnet_r50dcnv2_fpnc
img_norm_cfg_r50dcnv2 = dict(
mean=[122.67891434, 116.66876762, 104.00698793],
std=[58.395, 57.12, 57.375],
to_rgb=True)
train_pipeline_r50dcnv2 = [
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_r50dcnv2),
dict(
type='ImgAug',
args=[['Fliplr', 0.5],
dict(cls='Affine', rotate=[-10, 10]), ['Resize', [0.5, 3.0]]]),
dict(type='EastRandomCrop', target_size=(640, 640)),
dict(type='DBNetTargets', shrink_ratio=0.4),
dict(type='Pad', size_divisor=32),
dict(
type='CustomFormatBundle',
keys=['gt_shrink', 'gt_shrink_mask', 'gt_thr', 'gt_thr_mask'],
visualize=dict(flag=False, boundary_key='gt_shrink')),
dict(
type='Collect',
keys=['img', 'gt_shrink', 'gt_shrink_mask', 'gt_thr', 'gt_thr_mask'])
]
test_pipeline_4068_1024 = [
dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
dict(
type='MultiScaleFlipAug',
img_scale=(4068, 1024), # used by Resize
flip=False,
transforms=[
dict(type='Resize', keep_ratio=True),
dict(type='Normalize', **img_norm_cfg_r50dcnv2),
dict(type='Pad', size_divisor=32),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img']),
])
]
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