Spaces:
Runtime error
Runtime error
File size: 1,204 Bytes
f1dd031 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 |
# dataset settings
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
test_dataset_tpye = 'BDDVideoDataset'
test_pipeline = [
dict(
type='TransformBroadcaster',
transforms=[
dict(type='LoadImageFromFile'),
dict(type='Resize', scale=(1333, 800), keep_ratio=True),
dict(type='LoadTrackAnnotations')
]),
dict(type='PackTrackInputs')
]
val_dataloader = dict(
batch_size=1,
num_workers=2,
persistent_workers=True,
sampler=dict(type='TrackImgSampler'),
dataset=dict(
type=test_dataset_tpye,
ann_file='data/bdd/annotations/box_track_20/box_track_val_cocofmt.json',
data_prefix=dict(img_path='data/bdd/bdd100k/images/track/val/'),
test_mode=True,
pipeline=test_pipeline
))
test_dataloader = val_dataloader
# evaluator
val_evaluator = dict(
type='BDDTETAMetric',
dataset_type=test_dataset_tpye,
format_only=False,
ann_file='data/bdd/annotations/box_track_20/box_track_val_cocofmt.json',
scalabel_gt='data/bdd/annotations/scalabel_gt/box_track_20/val/',
metric=['TETA'])
test_evaluator = val_evaluator
|