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ntu120_xsub/b_1/20231130_230525.log ADDED
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ntu120_xsub/b_1/20231130_230525.log.json ADDED
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ntu120_xsub/b_1/b_1.py ADDED
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+ modality = 'b'
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+ graph = 'nturgb+d'
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+ work_dir = './work_dirs/test_prototype/ntu120_xsub/b_1'
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+ model = dict(
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+ type='RecognizerGCN_7_1_1',
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+ backbone=dict(
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+ type='GCN_7_1_1',
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+ tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'],
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+ graph_cfg=dict(
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+ layout='nturgb+d',
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+ mode='random',
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+ num_filter=8,
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+ init_off=0.04,
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+ init_std=0.02)),
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+ cls_head=dict(type='SimpleHead_7_4_3', num_classes=120, in_channels=384))
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+ dataset_type = 'PoseDataset'
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+ ann_file = '/data/lhd/pyskl_data/nturgbd/ntu120_3danno.pkl'
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+ train_pipeline = [
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+ dict(type='PreNormalize3D', align_spine=False),
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+ dict(type='RandomRot', theta=0.2),
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+ dict(type='Spatial_Flip', dataset='nturgb+d', p=0.5),
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+ dict(type='GenSkeFeat', feats=['b']),
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+ dict(type='UniformSampleDecode', clip_len=100),
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+ dict(type='FormatGCNInput'),
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+ dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
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+ dict(type='ToTensor', keys=['keypoint'])
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+ ]
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+ val_pipeline = [
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+ dict(type='PreNormalize3D', align_spine=False),
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+ dict(type='GenSkeFeat', feats=['b']),
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+ dict(type='UniformSampleDecode', clip_len=100, num_clips=1),
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+ dict(type='FormatGCNInput'),
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+ dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
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+ dict(type='ToTensor', keys=['keypoint'])
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+ ]
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+ test_pipeline = [
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+ dict(type='PreNormalize3D', align_spine=False),
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+ dict(type='GenSkeFeat', feats=['b']),
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+ dict(type='UniformSampleDecode', clip_len=100, num_clips=10),
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+ dict(type='FormatGCNInput'),
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+ dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
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+ dict(type='ToTensor', keys=['keypoint'])
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+ ]
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+ data = dict(
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+ videos_per_gpu=16,
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+ workers_per_gpu=4,
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+ test_dataloader=dict(videos_per_gpu=1),
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+ train=dict(
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+ type='PoseDataset',
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+ ann_file='/data/lhd/pyskl_data/nturgbd/ntu120_3danno.pkl',
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+ pipeline=[
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+ dict(type='PreNormalize3D', align_spine=False),
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+ dict(type='RandomRot', theta=0.2),
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+ dict(type='Spatial_Flip', dataset='nturgb+d', p=0.5),
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+ dict(type='GenSkeFeat', feats=['b']),
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+ dict(type='UniformSampleDecode', clip_len=100),
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+ dict(type='FormatGCNInput'),
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+ dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
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+ dict(type='ToTensor', keys=['keypoint'])
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+ ],
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+ split='xsub_train'),
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+ val=dict(
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+ type='PoseDataset',
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+ ann_file='/data/lhd/pyskl_data/nturgbd/ntu120_3danno.pkl',
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+ pipeline=[
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+ dict(type='PreNormalize3D', align_spine=False),
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+ dict(type='GenSkeFeat', feats=['b']),
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+ dict(type='UniformSampleDecode', clip_len=100, num_clips=1),
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+ dict(type='FormatGCNInput'),
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+ dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
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+ dict(type='ToTensor', keys=['keypoint'])
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+ ],
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+ split='xsub_val'),
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+ test=dict(
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+ type='PoseDataset',
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+ ann_file='/data/lhd/pyskl_data/nturgbd/ntu120_3danno.pkl',
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+ pipeline=[
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+ dict(type='PreNormalize3D', align_spine=False),
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+ dict(type='GenSkeFeat', feats=['b']),
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+ dict(type='UniformSampleDecode', clip_len=100, num_clips=10),
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+ dict(type='FormatGCNInput'),
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+ dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]),
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+ dict(type='ToTensor', keys=['keypoint'])
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+ ],
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+ split='xsub_val'))
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+ optimizer = dict(
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+ type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True)
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+ optimizer_config = dict(grad_clip=None)
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+ lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False)
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+ total_epochs = 150
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+ checkpoint_config = dict(interval=1)
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+ evaluation = dict(interval=1, metrics=['top_k_accuracy'])
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+ log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')])
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+ dist_params = dict(backend='nccl')
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+ gpu_ids = range(0, 1)
ntu120_xsub/b_1/best_pred.pkl ADDED
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+ size 37306643
ntu120_xsub/b_1/best_top1_acc_epoch_150.pth ADDED
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