!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig _target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer '' data: &id004 !!python/object/apply:pathlib.PosixPath - data - 360_v2 - stump denisification_interval: 100 densification_start_step: 100 densification_stop_step: 10000 experiment_name: stump freeze_means_step: 10000 gradient_accumulation_steps: {} load_checkpoint: null load_config: null load_dir: null load_scheduler: true load_step: null log_gradients: false logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig _target: !!python/name:nerfstudio.utils.writer.LocalWriter '' enable: true max_log_size: 10 stats_to_track: !!python/tuple - !!python/object/apply:nerfstudio.utils.writer.EventName - Train Iter (time) - !!python/object/apply:nerfstudio.utils.writer.EventName - Train Rays / Sec - !!python/object/apply:nerfstudio.utils.writer.EventName - Test PSNR - !!python/object/apply:nerfstudio.utils.writer.EventName - Vis Rays / Sec - !!python/object/apply:nerfstudio.utils.writer.EventName - Test Rays / Sec - !!python/object/apply:nerfstudio.utils.writer.EventName - ETA (time) max_buffer_size: 20 profiler: basic relative_log_dir: !!python/object/apply:pathlib.PosixPath [] steps_per_log: 10 machine: !!python/object:nerfstudio.configs.base_config.MachineConfig device_type: cuda dist_url: auto machine_rank: 0 num_devices: 1 num_machines: 1 seed: 42 max_num_iterations: 20000 method_name: gnerf mixed_precision: false optimizers: fields: optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig _target: &id001 !!python/name:torch.optim.adam.Adam '' eps: 1.0e-15 lr: 0.01 max_norm: null weight_decay: 1.0e-06 scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler '' gamma: 0.33 max_steps: 20000 milestones: &id003 !!python/tuple - 0.5 - 0.75 - 0.9 log_covs: optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig _target: *id001 eps: 1.0e-15 lr: 0.001 max_norm: null weight_decay: 0 scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig _target: *id002 gamma: 0.33 max_steps: 20000 milestones: *id003 means: optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig _target: *id001 eps: 1.0e-15 lr: 1.0e-05 max_norm: null weight_decay: 0 scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig _target: *id002 gamma: 0.33 max_steps: 20000 milestones: *id003 output_dir: !!python/object/apply:pathlib.PosixPath - outputs pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline '' datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager '' camera_optimizer: null camera_res_scale_factor: 1.0 collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate '' data: *id004 dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio '' auto_scale_poses: true center_method: poses data: !!python/object/apply:pathlib.PosixPath [] depth_unit_scale_factor: 0.001 downscale_factor: 4 eval_interval: 8 eval_mode: fraction load_3D_points: true mask_color: null orientation_method: up scale_factor: 1.0 scene_scale: 1.0 train_split_fraction: 0.9 eval_image_indices: !!python/tuple - 0 eval_num_images_to_sample_from: -1 eval_num_rays_per_batch: 4096 eval_num_times_to_repeat_images: -1 images_on_gpu: false masks_on_gpu: false patch_size: 1 pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler '' fisheye_crop_radius: null ignore_mask: false is_equirectangular: false keep_full_image: false max_num_iterations: 100 num_rays_per_batch: 4096 rejection_sample_mask: false train_num_images_to_sample_from: -1 train_num_rays_per_batch: 4096 train_num_times_to_repeat_images: -1 max_num_samples_per_ray: 1024 model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig _target: !!python/name:gnerf.gnerf_model.GNeRFModel '' alpha_thre: 0.0 appearance_embedding_dim: 32 background_color: random collider_params: null cone_angle: 0.00390625 densify: true disable_scene_contraction: false enable_collider: false eval_num_rays_per_chunk: 8192 far_plane: 1000.0 grid_resolution: 128 knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN '' chi_squared_radius: 2.0 device: cuda n_neighbours: 16 loss_coefficients: rgb_loss_coarse: 1.0 rgb_loss_fine: 1.0 max_gb: 20 near_plane: 0.0 prompt: null prune: true render_step_size: 0.005 unfreeze_means: true use_appearance_embedding: false use_gradient_scaling: true target_num_samples: 262144 project_name: nerfstudio-project prompt: null pruning_interval: 1000 pruning_start_step: 1000 pruning_stop_step: 15000 relative_model_dir: !!python/object/apply:pathlib.PosixPath - nerfstudio_models save_only_latest_checkpoint: true steps_per_eval_all_images: 25000 steps_per_eval_batch: 500 steps_per_eval_image: 500 steps_per_save: 100 timestamp: open_scenes_baseline unfreeze_means_step: 500 use_grad_scaler: false viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig camera_frustum_scale: 0.1 default_composite_depth: true image_format: jpeg jpeg_quality: 75 make_share_url: false max_num_display_images: 512 num_rays_per_chunk: 4096 quit_on_train_completion: false relative_log_filename: viewer_log_filename.txt websocket_host: 0.0.0.0 websocket_port: null websocket_port_default: 7007 vis: viewer