nbv_reconstruction/configs/train_config.yaml

77 lines
1.6 KiB
YAML

runner:
general:
seed: 0
device: cpu
cuda_visible_devices: "0,1,2,3,4,5,6,7"
experiment:
name: debug
root_dir: "experiments"
use_checkpoint: False
epoch: -1 # -1 stands for last epoch
max_epochs: 5
save_checkpoint_interval: 1
test_first: False
train:
optimizer:
type: Adam
lr: 0.0001
losses:
- mse_loss
dataset: OmniObject3d_train
test:
frequency: 3 # test frequency
dataset_list:
- OmniObject3d_train
pipeline: nbv_reconstruction_pipeline
datasets:
OmniObject3d_train:
root_dir: "C:\\Document\\Local Project\\nbv_rec\\data\\sample"
split_file: "C:\\Document\\Local Project\\nbv_rec\\data\\OmniObject3d_train.txt"
ratio: 1.0
batch_size: 1
num_workers: 12
pts_num: 2048
OmniObject3d_test:
root_dir: "C:\\Document\\Local Project\\nbv_rec\\data\\sample"
split_file: "C:\\Document\\Local Project\\nbv_rec\\data\\OmniObject3d_test.txt"
eval_list:
- pose_diff
ratio: 1.0
batch_size: 1
num_workers: 1
pts_num: 2048
module:
pointnet_encoder:
in_dim: 3
out_dim: 1024
global_feat: True
feature_transform: False
transformer_seq_encoder:
pts_embed_dim: 1024
pose_embed_dim: 256
num_heads: 4
ffn_dim: 256
num_layers: 3
max_seq_len: 30
output_dim: 2048
gf_view_finder:
regression_head: Rx_Ry_and_T
pose_mode: rot_matrix
per_point_feature: False
sample_mode: ode
sampling_steps: 500
sde_mode: ve
pose_encoder:
pose_dim: 9
output_dim: 256