104 lines
2.2 KiB
YAML
104 lines
2.2 KiB
YAML
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runner:
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general:
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seed: 1
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device: cuda
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cuda_visible_devices: "0,1,2,3,4,5,6,7"
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parallel: False
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experiment:
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name: new_test_overfit_2
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root_dir: "experiments"
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use_checkpoint: False
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epoch: -1 # -1 stands for last epoch
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max_epochs: 5000
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save_checkpoint_interval: 3
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test_first: False
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train:
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optimizer:
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type: Adam
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lr: 0.0001
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losses:
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- gf_loss
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dataset: OmniObject3d_train
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test:
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frequency: 3 # test frequency
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dataset_list:
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- OmniObject3d_test
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pipeline: nbv_reconstruction_pipeline
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dataset:
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OmniObject3d_train:
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root_dir: "../data/sample_for_training/scenes"
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model_dir: "../data/scaled_object_meshes"
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source: nbv_reconstruction_dataset
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split_file: "../data/sample_for_training/OmniObject3d_train.txt"
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type: train
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cache: True
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ratio: 1
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batch_size: 128
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num_workers: 12
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pts_num: 4096
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OmniObject3d_test:
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root_dir: "../data/sample_for_training/scenes"
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model_dir: "../data/scaled_object_meshes"
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source: nbv_reconstruction_dataset
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split_file: "../data/sample_for_training/OmniObject3d_train.txt"
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type: test
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cache: True
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filter_degree: 75
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eval_list:
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- pose_diff
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ratio: 0.1
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batch_size: 1
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num_workers: 12
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pts_num: 4096
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pipeline:
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nbv_reconstruction_pipeline:
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pts_encoder: pointnet_encoder
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seq_encoder: transformer_seq_encoder
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pose_encoder: pose_encoder
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view_finder: gf_view_finder
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module:
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pointnet_encoder:
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in_dim: 3
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out_dim: 1024
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global_feat: True
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feature_transform: False
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transformer_seq_encoder:
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pts_embed_dim: 1024
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pose_embed_dim: 256
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num_heads: 4
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ffn_dim: 256
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num_layers: 3
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output_dim: 2048
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gf_view_finder:
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t_feat_dim: 128
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pose_feat_dim: 256
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main_feat_dim: 2048
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regression_head: Rx_Ry_and_T
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pose_mode: rot_matrix
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per_point_feature: False
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sample_mode: ode
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sampling_steps: 500
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sde_mode: ve
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pose_encoder:
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pose_dim: 9
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out_dim: 256
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loss_function:
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gf_loss:
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evaluation_method:
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pose_diff:
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coverage_rate_increase:
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renderer_path: "../blender/data_renderer.py" |