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# Copyright (c) OpenMMLab. All rights reserved.
default_hooks = dict(
runtime_info=dict(type='RuntimeInfoHook'),
timer=dict(type='IterTimerHook'),
logger=dict(type='LoggerHook', interval=20, ignore_last=False),
param_scheduler=dict(type='ParamSchedulerHook'),
checkpoint=dict(type='CheckpointHook', interval=4, save_best='auto'),
sampler_seed=dict(type='DistSamplerSeedHook'),
sync_buffers=dict(type='SyncBuffersHook'))
env_cfg = dict(
cudnn_benchmark=False,
mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),
dist_cfg=dict(backend='nccl'))
log_processor = dict(type='LogProcessor', window_size=20, by_epoch=True)
vis_backends = [dict(type='LocalVisBackend')]
visualizer = dict(
type='ActionVisualizer', vis_backends=[dict(type='LocalVisBackend')])
log_level = 'INFO'
model = dict(
type='Recognizer3D',
backbone=dict(
type='ResNet3dSlowOnly',
depth=50,
lateral=False,
conv1_kernel=(1, 7, 7),
conv1_stride_t=1,
pool1_stride_t=1,
inflate=(0, 0, 1, 1),
norm_eval=False),
cls_head=dict(
type='I3DHead',
in_channels=2048,
num_classes=700,
spatial_type='avg',
dropout_ratio=0.5,
average_clips=None),
data_preprocessor=dict(
type='ActionDataPreprocessor',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
format_shape='NCTHW'))
data_root = './data'
ann_file = 'hacs_data.txt'
test_pipeline = [
dict(type='DecordInit', io_backend='disk'),
dict(
type='SampleFrames',
clip_len=8,
frame_interval=8,
num_clips=100,
test_mode=True),
dict(type='DecordDecode'),
dict(type='Resize', scale=(-1, 256)),
dict(type='CenterCrop', crop_size=256),
dict(type='FormatShape', input_format='NCTHW'),
dict(type='PackActionInputs')
]
test_dataloader = dict(
batch_size=1,
num_workers=8,
persistent_workers=True,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=dict(
type='VideoDataset',
ann_file=ann_file,
data_prefix=dict(video=data_root),
pipeline=test_pipeline,
test_mode=True))
test_evaluator = dict(type='DumpResults', out_file_path='result.pkl')
test_cfg = dict(type='TestLoop')
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