92 lines
2.2 KiB
YAML
92 lines
2.2 KiB
YAML
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runner:
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general:
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seed: 0
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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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experiment:
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name: train_ab_global_only_p++_wp
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root_dir: "experiments"
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epoch: 922 # -1 stands for last epoch
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test:
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dataset_list:
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- OmniObject3d_test
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blender_script_path: "/media/hofee/data/project/python/nbv_reconstruction/blender/data_renderer.py"
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output_dir: "/media/hofee/data/data/p++_wp_temp_cluster"
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pipeline: nbv_reconstruction_pipeline
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voxel_size: 0.003
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min_new_area: 1.0
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dataset:
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# OmniObject3d_train:
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# root_dir: "C:\\Document\\Datasets\\inference_test1"
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# model_dir: "C:\\Document\\Datasets\\scaled_object_meshes"
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# source: seq_reconstruction_dataset_preprocessed
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# split_file: "C:\\Document\\Datasets\\data_list\\sample.txt"
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# type: test
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# filter_degree: 75
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# ratio: 1
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# batch_size: 1
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# num_workers: 12
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# pts_num: 8192
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# load_from_preprocess: True
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OmniObject3d_test:
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root_dir: "/media/hofee/data/data/new_testset_output"
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model_dir: "/media/hofee/data/data/scaled_object_meshes"
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source: seq_reconstruction_dataset_preprocessed
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# split_file: "C:\\Document\\Datasets\\data_list\\OmniObject3d_test.txt"
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type: test
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filter_degree: 75
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eval_list:
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- pose_diff
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- coverage_rate_increase
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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: 8192
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load_from_preprocess: True
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pipeline:
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nbv_reconstruction_pipeline:
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modules:
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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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eps: 1e-5
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global_scanned_feat: True
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module:
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pointnet++_encoder:
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in_dim: 3
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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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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: 1024
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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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pts_num_encoder:
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out_dim: 64 |