| wandb: | |
| project: gs_pred | |
| cam_embd: | |
| embedding: null | |
| encode_embedding: null | |
| dimension: 0 | |
| method: null | |
| general: | |
| device: 0 | |
| random_seed: 0 | |
| data: | |
| training_resolution: 128 | |
| fov: 51.98948897809546 | |
| subset: -1 | |
| input_images: 1 | |
| origin_distances: true | |
| znear: -2.0 | |
| zfar: 2.0 | |
| category: hydrants | |
| white_background: false | |
| opt: | |
| iterations: 900001 | |
| base_lr: 5.0e-05 | |
| batch_size: 8 | |
| betas: | |
| - 0.9 | |
| - 0.999 | |
| loss: l2 | |
| imgs_per_obj: 4 | |
| ema: | |
| use: true | |
| update_every: 10 | |
| update_after_step: 100 | |
| beta: 0.9999 | |
| lambda_lpips: 0.01 | |
| start_lpips_after: 800001 | |
| pretrained_ckpt: null | |
| step_lr_at: 800001 | |
| model: | |
| max_sh_degree: 1 | |
| inverted_x: false | |
| inverted_y: true | |
| name: SingleUNet | |
| opacity_scale: 1.0 | |
| opacity_bias: -2.0 | |
| scale_bias: 0.02 | |
| scale_scale: 0.003 | |
| xyz_scale: 0.1 | |
| xyz_bias: 0.0 | |
| depth_scale: 1.0 | |
| depth_bias: 0.0 | |
| network_without_offset: false | |
| network_with_offset: true | |
| attention_resolutions: | |
| - 16 | |
| num_blocks: 4 | |
| cross_view_attention: true | |
| base_dim: 128 | |
| isotropic: false | |
| logging: | |
| ckpt_iterations: 1000 | |
| val_log: 10000 | |
| loss_log: 10 | |
| loop_log: 10000 | |
| render_log: 10000 | |