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# dataset settings
dataset_type = 'DeepFashionDataset'
data_root = 'data/DeepFashion/In-shop/'
# file_client_args = dict(
# backend='petrel',
# path_mapping=dict({
# './data/': 's3://openmmlab/datasets/detection/',
# 'data/': 's3://openmmlab/datasets/detection/'
# }))
file_client_args = dict(backend='disk')
train_pipeline = [
dict(type='LoadImageFromFile', file_client_args=file_client_args),
dict(type='LoadAnnotations', with_bbox=True, with_mask=True),
dict(type='Resize', scale=(750, 1101), keep_ratio=True),
dict(type='RandomFlip', prob=0.5),
dict(type='PackDetInputs')
]
test_pipeline = [
dict(type='LoadImageFromFile', file_client_args=file_client_args),
dict(type='Resize', scale=(750, 1101), keep_ratio=True),
dict(type='LoadAnnotations', with_bbox=True, with_mask=True),
dict(
type='PackDetInputs',
meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape',
'scale_factor'))
]
train_dataloader = dict(
batch_size=2,
num_workers=2,
persistent_workers=True,
sampler=dict(type='DefaultSampler', shuffle=True),
batch_sampler=dict(type='AspectRatioBatchSampler'),
dataset=dict(
type='RepeatDataset',
times=2,
dataset=dict(
type=dataset_type,
data_root=data_root,
ann_file='Anno/segmentation/DeepFashion_segmentation_train.json',
data_prefix=dict(img='Img/'),
filter_cfg=dict(filter_empty_gt=True, min_size=32),
pipeline=train_pipeline)))
val_dataloader = dict(
batch_size=1,
num_workers=2,
persistent_workers=True,
drop_last=False,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=dict(
type=dataset_type,
data_root=data_root,
ann_file='Anno/segmentation/DeepFashion_segmentation_query.json',
data_prefix=dict(img='Img/'),
test_mode=True,
pipeline=test_pipeline))
test_dataloader = dict(
batch_size=1,
num_workers=2,
persistent_workers=True,
drop_last=False,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=dict(
type=dataset_type,
data_root=data_root,
ann_file='Anno/segmentation/DeepFashion_segmentation_gallery.json',
data_prefix=dict(img='Img/'),
test_mode=True,
pipeline=test_pipeline))
val_evaluator = dict(
type='CocoMetric',
ann_file=data_root +
'Anno/segmentation/DeepFashion_segmentation_query.json',
metric=['bbox', 'segm'],
format_only=False)
test_evaluator = dict(
type='CocoMetric',
ann_file=data_root +
'Anno/segmentation/DeepFashion_segmentation_gallery.json',
metric=['bbox', 'segm'],
format_only=False)
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