Multimodal-Feature-Collaboration-and-Fusion-for-Fine-grained-Action-Recognition/joint.yaml at main · PRIS-CV/Multimodal-Feature-Collaboration-and-Fusion-for-Fine-grained-Action-Recognition · GitHub

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work_dir: ./work_dir/ntu60/xsub/ctrgcn_joint

# feeder
feeder: feeders.feeder_ntu.Feeder
train_feeder_args:
  data_path: data/ntu/NTU60_CS.npz
  split: train
  debug: False
  random_choose: False
  random_shift: False
  random_move: False
  window_size: 64
  normalization: False
  random_rot: True
  p_interval: [0.5, 1]
  vel: False
  bone: False

test_feeder_args:
  data_path: data/ntu/NTU60_CS.npz
  split: test
  window_size: 64
  p_interval: [0.95]
  vel: False
  bone: False
  debug: False

# model
model: model.ctrgcn.Model
model_args:
  num_class: 60
  num_point: 25
  num_person: 2
  graph: graph.ntu_rgb_d.Graph
  graph_args:
    labeling_mode: 'spatial'

#optim
weight_decay: 0.0004
base_lr: 0.1
lr_decay_rate: 0.1
step: [35, 55]
warm_up_epoch: 5

# training
#device: 0
batch_size: 512
test_batch_size: 512
num_epoch: 65
nesterov: True