data: dataset: Shapes3D path: data/ShapeNet class: null data_type: img input_type: pointcloud dim: 3 num_points: 1000 num_gt_points: 1000 num_offset: 1 img_size: null n_views_input: 20 n_views_per_iter: 2 pointcloud_noise: 0 pointcloud_file: pointcloud.npz pointcloud_outlier_ratio: 0 fixed_scale: 0 train_split: train val_split: val test_split: test points_file: null points_iou_file: points.npz points_unpackbits: true padding: 0.1 multi_files: null gt_mesh: null zero_level: 0 only_single: False sample_only_floor: False model: apply_sigmoid: True grid_res: 128 # poisson grid resolution psr_sigma: 0 psr_tanh: False normal_normalize: False raster: {} renderer: {} encoder: null predict_normal: True predict_offset: True s_offset: 0.001 local_coord: True encoder_kwargs: {} unet3d: False unet3d_kwargs: {} multi_gpu: false rotate_matrix: false c_dim: 512 sphere_radius: 0.2 train: lr: 1e-3 lr_pcl: 2e-2 input_mesh: '' out_dir: out/default subsample_vertex: False batch_size: 1 n_grow_points: 0 resample_every: 0 l_weight: {} w_reg_point: 0 w_psr: 0 w_raw: 0 # train with raw point cloud gauss_weight: 0 n_sup_point: 0 w_normals: 0 total_epochs: 1000 print_every: 20 visualize_every: 1000 save_every: 1000 vis_vert_color: True o3d_show: False o3d_vis_pcl: True o3d_window_size: 540 vis_rendering: False vis_psr: False save_video: False exp_mesh: True exp_pcl: True checkpoint_every: 1000 validate_every: 2000000 backup_every: 100000 timestamp: False # add timestamp to out_dir name model_selection_metric: loss model_selection_mode: minimize n_workers: 0 n_workers_val: 0 test: threshold: 0.5 eval_mesh: true eval_pointcloud: false model_file: model_best.pt generation: batch_size: 100000 exp_gt: False exp_oracle: false exp_input: False vis_n_outputs: 10 generate_mesh: true generate_pointcloud: true generation_dir: generation copy_input: true use_sampling: false psr_resolution: 0 psr_sigma: 0