55 lines
1.1 KiB
YAML
55 lines
1.1 KiB
YAML
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data:
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class: null
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data_type: psr_full
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input_type: pointcloud
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path: data/shapenet_psr
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num_gt_points: 10000
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num_offset: 5
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pointcloud_n: 3000
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pointcloud_noise: 0.005
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pointcloud_outlier_ratio: 0.5
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model:
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grid_res: 128 # poisson grid resolution
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psr_sigma: 2
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psr_tanh: True
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normal_normalize: False
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predict_normal: True
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predict_offset: True
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c_dim: 32
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s_offset: 0.001
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encoder: local_pool_pointnet
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encoder_kwargs:
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hidden_dim: 32
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plane_type: ['xz', 'xy', 'yz']
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plane_resolution: 64
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unet: True
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unet_kwargs:
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depth: 4
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merge_mode: concat
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start_filts: 32
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decoder: simple_local
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decoder_kwargs:
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sample_mode: bilinear # bilinear / nearest
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hidden_size: 32
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train:
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batch_size: 32
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lr: 5e-4
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out_dir: out/shapenet/outlier_ours_3plane
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w_psr: 1
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model_selection_metric: psr_l2
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print_every: 100
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checkpoint_every: 200
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validate_every: 5000
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backup_every: 10000
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total_epochs: 400000
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visualize_every: 5000
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exp_pcl: True
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exp_mesh: True
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n_workers: 8
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n_workers_val: 0
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generation:
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exp_gt: False
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exp_input: True
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psr_resolution: 128
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psr_sigma: 2
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