defaults: - dataset: re10k - optional dataset/view_sampler_dataset_specific_config: ${dataset/view_sampler}_${dataset} - model/encoder: codecsplat - model/decoder: splatting_gsplat - loss: [mse] - _self_ wandb: project: codecsplat entity: null name: placeholder mode: online id: null mode: train dataset: overfit_to_scene: null data_loader: train: num_workers: 10 persistent_workers: true batch_size: 4 seed: 1234 test: num_workers: 4 persistent_workers: false batch_size: 1 seed: 2345 val: num_workers: 1 persistent_workers: true batch_size: 1 seed: 3456 optimizer: lr: 2.e-4 lr_monodepth: 2.e-6 warm_up_steps: 2000 weight_decay: 0.01 div_factor: 25. final_div_factor: 1.e4 checkpointing: load: null every_n_train_steps: 5000 save_top_k: 5 pretrained_model: null pretrained_monodepth: null pretrained_mvdepth: null pretrained_depth: null no_strict_load: false resume: false train: depth_mode: null extended_visualization: false print_log_every_n_steps: 100 eval_model_every_n_val: 2 # quantitative evaluation every n val eval_data_length: 999999 eval_time_skip_steps: 3 eval_save_model: true l1_loss: false intermediate_loss_weight: 0.9 no_viz_video: false train_ignore_large_loss: 0. test: compute_scores: true eval_time_skip_steps: 0 save_image: false save_video: false save_gt_image: false save_input_images: false save_depth: false save_depth_npy: false save_depth_concat_img: false save_gaussian: false save_bitstream: false render_chunk_size: null stabilize_camera: false stab_camera_kernel: 50 gaussian_export_all_points: true gaussian_export_align_to_view: false seed: 111123 trainer: max_steps: -1 val_check_interval: 0.5 gradient_clip_val: 0.5 accumulate_grad_batches: 1 precision: 32-true num_sanity_val_steps: 2 num_nodes: 1 output_dir: checkpoints/tmp use_plugins: false hydra: run: dir: ${output_dir}/hydra/${now:%Y-%m-%d-%H-%M-%S} job: chdir: false output_subdir: . job_logging: handlers: file: filename: /dev/null root: handlers: - console