|
|
| _base_ = [
|
| 'mmaction::_base_/models/tsn_r50.py', 'mmaction::_base_/default_runtime.py'
|
| ]
|
|
|
|
|
| dataset_type = 'VideoDataset'
|
| data_root_val = 'data/kinetics400/videos_val'
|
| ann_file_val = 'data/kinetics400/kinetics400_val_list_videos.txt'
|
|
|
| file_client_args = dict(io_backend='disk')
|
|
|
| test_pipeline = [
|
| dict(type='DecordInit', **file_client_args),
|
| dict(type='UntrimmedSampleFrames', clip_len=1, clip_interval=16),
|
| dict(type='DecordDecode'),
|
| dict(type='Resize', scale=(-1, 256)),
|
| dict(type='CenterCrop', crop_size=256),
|
| dict(type='FormatShape', input_format='NCHW'),
|
| dict(type='PackActionInputs')
|
| ]
|
|
|
| test_dataloader = dict(
|
| batch_size=1,
|
| num_workers=8,
|
| persistent_workers=True,
|
| sampler=dict(type='DefaultSampler', shuffle=False),
|
| dataset=dict(
|
| type=dataset_type,
|
| ann_file=ann_file_val,
|
| data_prefix=dict(video=data_root_val),
|
| pipeline=test_pipeline,
|
| test_mode=True))
|
|
|
| test_evaluator = []
|
|
|
| test_cfg = dict(type='TestLoop')
|
|
|
