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# 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') | |