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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='ScaleAspectJitter', | |
img_scale=[(3000, 736)], | |
ratio_range=(0.5, 3), | |
aspect_ratio_range=(1, 1), | |
multiscale_mode='value', | |
long_size_bound=1280, | |
short_size_bound=640, | |
resize_type='long_short_bound', | |
keep_ratio=False), | |
dict(type='PSENetTargets'), | |
dict(type='RandomFlip', flip_ratio=0.5, direction='horizontal'), | |
dict(type='RandomRotateTextDet'), | |
dict( | |
type='RandomCropInstances', | |
target_size=(640, 640), | |
instance_key='gt_kernels'), | |
dict(type='Pad', size_divisor=32), | |
dict( | |
type='CustomFormatBundle', | |
keys=['gt_kernels', 'gt_mask'], | |
visualize=dict(flag=False, boundary_key='gt_kernels')), | |
dict(type='Collect', keys=['img', 'gt_kernels', 'gt_mask']) | |
] | |
# for ctw1500 | |
img_scale_test_ctw1500 = (1280, 1280) | |
test_pipeline_ctw1500 = [ | |
dict(type='LoadImageFromFile', color_type='color_ignore_orientation'), | |
dict( | |
type='MultiScaleFlipAug', | |
img_scale=img_scale_test_ctw1500, | |
flip=False, | |
transforms=[ | |
dict(type='Resize', img_scale=(1280, 1280), 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 icdar2015 | |
img_scale_test_icdar2015 = (2240, 2240) | |
test_pipeline_icdar2015 = [ | |
dict(type='LoadImageFromFile', color_type='color_ignore_orientation'), | |
dict( | |
type='MultiScaleFlipAug', | |
img_scale=img_scale_test_icdar2015, | |
flip=False, | |
transforms=[ | |
dict(type='Resize', img_scale=(1280, 1280), 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']), | |
]) | |
] | |