update basic framework

configs/train_config.yaml

@@ -1,73 +0,0 @@
-# Train config file
-
-settings:
-  general:
-    seed: 0
-    device: cuda
-    cuda_visible_devices: "0,1,2,3,4,5,6,7"
-    parallel: True
-    
-  experiment:
-    name: train_experiment
-    root_dir: "experiments"
-    use_checkpoint: True
-    epoch: -1 # -1 stands for last epoch
-    max_epochs: 5000
-    save_checkpoint_interval: 1
-    test_first: True       
-      
-  train:
-    optimizer:
-      type: adam
-      lr: 0.0001
-    losses: # loss type : weight
-      gf_loss: 1.0
-    dataset:
-      name: synthetic_train_train_dataset
-      source: nbv1
-      data_type: train
-      ratio: 0.1
-      batch_size: 128
-      num_workers: 96
-
-  test:
-    batch_size: 16
-    frequency: 3
-    dataset_list:
-      - name: synthetic_test_train_dataset
-        source: nbv1
-        data_type: train
-        eval_list:
-        ratio: 0.00001
-        batch_size: 16
-        num_workers: 16
-
-  pipeline:
-    pts_encoder: pointnet
-    view_finder: gradient_field
-
-datasets:
-  general:
-    data_dir: "../data"
-
-modules:
-  general:
-    pts_channels: 3
-    feature_dim: 1024
-    per_point_feature: False
-  pts_encoder:
-    pointnet:
-    pointnet++:
-      params_name: light
-    pointnet++rgb:
-      params_name: light
-      target_layer: 3
-      rgb_feat_dim: 384
-  view_finder:
-    gradient_field:
-      pose_mode: rot_matrix
-      regression_head: Rx_Ry
-      sample_mode: ode
-      sample_repeat: 50
-      sampling_steps: 500
-      sde_mode: ve