Liangyu
add functions
c7f0cc1
raw
history blame
2.01 kB
# dataset settings
dataset_type = 'PanopticSceneGraphDataset'
ann_file = './data/psg/psg.json'
coco_root = './data/coco'
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'),
dict(
type='LoadPanopticSceneGraphAnnotations',
with_bbox=True,
with_mask=True,
with_seg=True,
),
dict(type='Resize', img_scale=(1333, 800), keep_ratio=True),
dict(type='RandomFlip', flip_ratio=0.5),
dict(type='Normalize', **img_norm_cfg),
dict(type='Pad', size_divisor=32),
dict(type='SegRescale', scale_factor=1 / 4),
dict(type='DefaultFormatBundle'),
dict(
type='Collect',
keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks', 'gt_semantic_seg'],
),
]
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='MultiScaleFlipAug',
img_scale=(1333, 800),
flip=False,
transforms=[
dict(type='Resize', keep_ratio=True),
dict(type='RandomFlip'),
dict(type='Normalize', **img_norm_cfg),
dict(type='Pad', size_divisor=32),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img']),
],
),
]
data = dict(
samples_per_gpu=2,
workers_per_gpu=2,
train=dict(
type=dataset_type,
ann_file=ann_file,
img_prefix=coco_root,
seg_prefix=coco_root,
pipeline=train_pipeline,
split='train',
),
val=dict(
type=dataset_type,
ann_file=ann_file,
img_prefix=coco_root,
seg_prefix=coco_root,
pipeline=test_pipeline,
split='test',
),
test=dict(
type=dataset_type,
ann_file=ann_file,
img_prefix=coco_root,
seg_prefix=coco_root,
pipeline=test_pipeline,
split='test',
),
)
evaluation = dict(interval=1, metric='PQ')