{
  "render_datetime": "2024-06-20T10:30:27",
  "render_version": "0.0.16.dev63+g7840983.d20240612",
  "render_dataset_metadata": {
    "name": "blender",
    "scene": "drums",
    "color_space": "srgb",
    "type": "object-centric",
    "evaluation_protocol": "nerf",
    "expected_scene_scale": 4,
    "viewer_transform": [
      [
        0.015239,
        -0.242022,
        0.01308,
        -0.0
      ],
      [
        0.242374,
        0.015261,
        -1e-06,
        0.0
      ],
      [
        -0.000821,
        0.013054,
        0.242502,
        -0.0
      ]
    ],
    "viewer_initial_pose": [
      [
        -0.062749,
        -0.768168,
        0.637166,
        -0.623771
      ],
      [
        -0.998024,
        0.046133,
        -0.042669,
        0.041772
      ],
      [
        0.003382,
        -0.638584,
        -0.769544,
        0.753366
      ]
    ],
    "background_color": [
      255,
      255,
      255
    ]
  },
  "nb_info": {
    "method": "kplanes",
    "num_iterations": 30001,
    "total_train_time": 1449.74984,
    "resources_utilization": {
      "memory": 33441,
      "gpu_name": " NVIDIA A100-SXM4-40GB",
      "gpu_memory": 4748
    },
    "datetime": "2024-06-17T18:11:38+0200",
    "config_overrides": {
      "base_config": "NeRF/nerf_hybrid.py"
    },
    "dataset_metadata": {
      "name": "blender",
      "scene": "drums",
      "color_space": "srgb",
      "type": "object-centric",
      "evaluation_protocol": "nerf",
      "expected_scene_scale": 4,
      "viewer_transform": [
        [
          0.233781,
          0.041763,
          -0.005102,
          0.0
        ],
        [
          -0.041899,
          0.233714,
          -0.006771,
          0.0
        ],
        [
          0.003829,
          0.007564,
          0.237385,
          0.0
        ]
      ],
      "viewer_initial_pose": [
        [
          0.046754,
          -0.851644,
          0.522031,
          -0.499865
        ],
        [
          -0.998529,
          -0.025471,
          0.047876,
          -0.045843
        ],
        [
          -0.027476,
          -0.523501,
          -0.851582,
          0.815423
        ]
      ],
      "background_color": [
        255,
        255,
        255
      ]
    },
    "evaluation_protocol": "nerf",
    "hparams": {
      "batch_size": 4096,
      "concat_features_across_scales": true,
      "contract": false,
      "data_dirs": [
        "data/nerf_synthetic/lego"
      ],
      "data_downsample": 1.0,
      "density_activation": "trunc_exp",
      "distortion_loss_weight": 0.001,
      "grid_config": [
        {
          "grid_dimensions": 2,
          "input_coordinate_dim": 3,
          "output_coordinate_dim": 32,
          "resolution": [
            128,
            128,
            128
          ]
        }
      ],
      "histogram_loss_weight": 1.0,
      "linear_decoder": false,
      "lr": 0.01,
      "multiscale_res": [
        1,
        2,
        4
      ],
      "ndc": false,
      "num_proposal_iterations": 2,
      "num_proposal_samples": [
        256,
        128
      ],
      "num_samples": 48,
      "num_steps": 30001,
      "optim_type": "adam",
      "plane_tv_weight": 0.0001,
      "plane_tv_weight_proposal_net": 0.0001,
      "proposal_net_args_list": [
        {
          "num_input_coords": 3,
          "num_output_coords": 8,
          "resolution": [
            64,
            64,
            64
          ]
        },
        {
          "num_input_coords": 3,
          "num_output_coords": 8,
          "resolution": [
            128,
            128,
            128
          ]
        }
      ],
      "save_outputs": true,
      "scheduler_type": "warmup_cosine",
      "single_jitter": false,
      "train_fp16": true,
      "use_proposal_weight_anneal": true,
      "use_same_proposal_network": false,
      "base_config": "NeRF/nerf_hybrid.py"
    },
    "nb_version": "0.0.16.dev63+g7840983.d20240612",
    "checkpoint_sha256": "3b0a8ec795ac52ce1bcd8e126f89635a1a6167527bea2f255f68d2900264d4b0"
  },
  "evaluate_datetime": "2024-06-20T10:38:56",
  "evaluate_version": "0.0.16.dev63+g7840983.d20240612",
  "metrics": {
    "psnr": 25.67807,
    "ssim": 0.93796,
    "mae": 0.01707,
    "mse": 0.00287,
    "lpips": 0.053,
    "lpips_vgg": 0.09617
  },
  "metrics_raw": {
    "psnr": "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",
    "ssim": "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",
    "mae": "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",
    "mse": "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",
    "lpips": "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",
    "lpips_vgg": "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"
  },
  "metrics_sha256": "2e7a42c0504ebdc4ff3d0e8d52d97c1bd8d988a6524467c0b9c7aa375872e4b6",
  "predictions_sha256": "7df05b9a8047243ab7da4dc330bb5ee8fe0628fb09904ed721cc3f7a78333ea2",
  "ground_truth_sha256": "3cdf260fe025b35d4ddc19b08aae2853be04aa28caa11a5af613e398a4a34fb5",
  "evaluation_protocol": "nerf"
}