Open dberga opened 8 months ago
Upon exporting with vanilla-nerf appears this error
Here is the config.yml:
config.yml
_target: !!python/name:nerfstudio.engine.trainer.Trainer '' data: &id002 !!python/object/apply:pathlib.PosixPath - data - nerfstudio - kitchen experiment_name: kitchen gradient_accumulation_steps: 1 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: 30000 method_name: vanilla-nerf mixed_precision: false optimizers: fields: optimizer: !!python/object:nerfstudio.engine.optimizers.RAdamOptimizerConfig _target: &id001 !!python/name:torch.optim.radam.RAdam '' eps: 1.0e-08 lr: 0.0005 max_norm: null weight_decay: 0 scheduler: null temporal_distortion: optimizer: !!python/object:nerfstudio.engine.optimizers.RAdamOptimizerConfig _target: *id001 eps: 1.0e-08 lr: 0.0005 max_norm: null weight_decay: 0 scheduler: null output_dir: !!python/object/apply:pathlib.PosixPath - outputs pipeline: !!python/object:nerfstudio.pipelines.base_pipeline.VanillaPipelineConfig _target: !!python/name:nerfstudio.pipelines.base_pipeline.VanillaPipeline '' datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager '' camera_optimizer: !!python/object:nerfstudio.cameras.camera_optimizers.CameraOptimizerConfig _target: !!python/name:nerfstudio.cameras.camera_optimizers.CameraOptimizer '' mode: 'off' optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig _target: !!python/name:torch.optim.adam.Adam '' eps: 1.0e-15 lr: 0.0006 max_norm: null weight_decay: 0 orientation_noise_std: 0.0 param_group: camera_opt position_noise_std: 0.0 scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig _target: !!python/name:nerfstudio.engine.schedulers.ExponentialDecayScheduler '' lr_final: null lr_pre_warmup: 1.0e-08 max_steps: 10000 ramp: cosine warmup_steps: 0 camera_res_scale_factor: 1.0 collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate '' data: *id002 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: 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: 1024 eval_num_times_to_repeat_images: -1 masks_on_gpu: null patch_size: 1 train_num_images_to_sample_from: -1 train_num_rays_per_batch: 1024 train_num_times_to_repeat_images: -1 model: !!python/object:nerfstudio.models.vanilla_nerf.VanillaModelConfig _target: !!python/name:nerfstudio.models.vanilla_nerf.NeRFModel '' collider_params: far_plane: 6.0 near_plane: 2.0 enable_collider: true enable_temporal_distortion: false eval_num_rays_per_chunk: 4096 loss_coefficients: rgb_loss_coarse: 1.0 rgb_loss_fine: 1.0 num_coarse_samples: 64 num_importance_samples: 128 prompt: null temporal_distortion_params: kind: !!python/object/apply:nerfstudio.field_components.temporal_distortions.TemporalDistortionKind - dnerf project_name: nerfstudio-project prompt: null 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: 1000 timestamp: 2023-08-01_170222 use_grad_scaler: false viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig image_format: jpeg jpeg_quality: 90 max_num_display_images: 512 num_rays_per_chunk: 32768 quit_on_train_completion: true relative_log_filename: viewer_log_filename.txt websocket_host: 0.0.0.0 websocket_port: null websocket_port_default: 7007 vis: viewer
For splatfacto here it crashes
not all models support point cloud exports.
Upon exporting with vanilla-nerf appears this error
Here is the
config.yml
: