| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566 |
- dataset_type = 'CocoDataset'
- data_root = 'data/MOT17/'
- backend_args = None
- train_pipeline = [
- dict(type='LoadImageFromFile', backend_args=backend_args, to_float32=True),
- dict(type='LoadAnnotations', with_bbox=True),
- dict(
- type='RandomResize',
- scale=(1088, 1088),
- ratio_range=(0.8, 1.2),
- keep_ratio=True,
- clip_object_border=False),
- dict(type='PhotoMetricDistortion'),
- dict(type='RandomCrop', crop_size=(1088, 1088), bbox_clip_border=False),
- dict(type='RandomFlip', prob=0.5),
- dict(type='PackDetInputs')
- ]
- test_pipeline = [
- dict(type='LoadImageFromFile', backend_args=backend_args),
- dict(type='Resize', scale=(1088, 1088), keep_ratio=True),
- dict(type='LoadAnnotations', with_bbox=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=dataset_type,
- data_root=data_root,
- ann_file='annotations/half-train_cocoformat.json',
- data_prefix=dict(img='train/'),
- metainfo=dict(classes=('pedestrian', )),
- 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='annotations/half-val_cocoformat.json',
- data_prefix=dict(img='train/'),
- metainfo=dict(classes=('pedestrian', )),
- test_mode=True,
- pipeline=test_pipeline))
- test_dataloader = val_dataloader
- val_evaluator = dict(
- type='CocoMetric',
- ann_file=data_root + 'annotations/half-val_cocoformat.json',
- metric='bbox',
- format_only=False)
- test_evaluator = val_evaluator
|
