config_train_finetune.yaml

gpu: "0"
multi_gpu: null #"0, 1"

model_name: PointConv

full: True

arch: PointConv
last_relu: False
allow_less_points: False

# general args
batch_size: 24
epochs: 800
learning_rate: 0.001

optimizer: Adam
pretrain: null #example format: ./experiment/PointConvPointConvFlyingthings3d-2020-11-15_15-23/checkpoints/PointConv_431_0.0644.pth
weight_decay: 0.0001

dim: 3
num_points: 8192

DEVICE: cuda

evaluate: False

dataset: FlyingThings3DSubset 
data_root: ./flyingthings3d

data_process:
  DEPTH_THRESHOLD: 35.
  NO_CORR: True

# data augmentation
aug_together:
  degree_range: 0.1745329252
  shift_range: 1.
  scale_low: 0.95
  scale_high: 1.05
  jitter_sigma: 0.01
  jitter_clip: 0.00

aug_pc2:
  degree_range: 0.
  shift_range: 0.3
  jitter_sigma: 0.01
  jitter_clip: 0.00

# miscalleneous
workers: 16