{
  "render_datetime": "2024-06-20T11:13:50",
  "render_version": "0.0.16.dev63+g7840983.d20240612",
  "render_dataset_metadata": {
    "name": "blender",
    "scene": "ship",
    "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": 1447.44263,
    "resources_utilization": {
      "memory": 33271,
      "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": "ship",
      "color_space": "srgb",
      "type": "object-centric",
      "evaluation_protocol": "nerf",
      "expected_scene_scale": 4,
      "viewer_transform": [
        [
          0.238465,
          -0.056711,
          0.023961,
          -0.0
        ],
        [
          0.055637,
          0.239551,
          0.01326,
          0.0
        ],
        [
          -0.02636,
          -0.007426,
          0.244757,
          0.0
        ]
      ],
      "viewer_initial_pose": [
        [
          0.184904,
          -0.267396,
          0.94568,
          -0.938875
        ],
        [
          -0.982129,
          -0.084653,
          0.168094,
          -0.166885
        ],
        [
          0.035107,
          -0.959861,
          -0.27827,
          0.276267
        ]
      ],
      "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": "ca01d6e912e58c23beff82c8aa1601e44a74b7fba12de9148ab05f5fc387d9e8"
  },
  "evaluate_datetime": "2024-06-20T11:18:45",
  "evaluate_version": "0.0.16.dev63+g7840983.d20240612",
  "metrics": {
    "psnr": 30.72339,
    "ssim": 0.89702,
    "mae": 0.01406,
    "mse": 0.00088,
    "lpips": 0.09564,
    "lpips_vgg": 0.14101
  },
  "metrics_raw": {
    "psnr": "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",
    "ssim": "Q29dP6hlXT+WMV4/cgNrP8JEaz+Odms/pZprP3u2az8GZWw/4+dsP39zbT8y4W0/FXFuPw78Xj9YU28/4BlwP/JBcT/Y0HI/HR50P7RCdD920nQ/LDx1P00ndD+2B3M/kchgP9HMcj9I+nI/4KVzPw5Ycz+vEHI/FjNwP/zUbj+OE24/NxFuPweObj+K0mI/lL5uP0pBbj+ZLG0/DFZsP4B7az/IP2o/Ao9pP7dqaT8vN2k/sfloPxlwYj9GiWg/lfVnPyZiZz8KiWY/9hJmPw7WZT/Fk2U/QEFlP+f+ZD9372Q/7CxjP+DDZD+SmWQ/WWZkP5VIZD+nSGQ/rJNkP9T/ZD+Fi2U/xAxmP4NhZj9WMmU/ic9lP74rZT/GRWQ/V5NjP88HYz+JtmI/wYNiP1iOYj9OqWI/Lv5iP7h3ZD85I2M/FnljP1/eYj9ab2I/DmhiP7ADYz9xGGM/tN9iP4uOYj/qVGI/ZClgP9w3Yj9pL2I/M8ZhPzw9YT+gz18/poVeP8qiXT+2IV0/tx9dP73wXD8b2lw/+mJcP6aMWz/W11o/vC1aP2D4WT+eP1o/PI9aP2OyWz9qnV0/nK5ePxnlXT9t8Vo/+plZP+PeWD8G1Vc/nTFXP1RWVz9bcFc/E8NXP5BlWD9m41g/FuBdP2PIWT+bC1s/7wpcP9AwXT/ehF4/7V1gP2xSYj/g6GM/TrdkP+t6ZD8JWV0/+gxkP10QZD/VJ2Q/DThkP8Y/ZD8fgmQ/JK5kP2zCZD/3vWQ/D8FkP5BTXT8fvGQ/tZhkP02PZD+kgmQ/V91kP3M/ZT+Mg2U/PcllP3+wZT9cqWU/2hJePwjKZT8l2WU/aiFmP+Z/Zj8jCWc/riJnP37vZj9p1GY/LAFnPx6dZz+MLF8//lloP7zmaD8LJmk/VsxpPzCVaj/qOWs/XJxrP761az8OBWw/pkFsP14KXz/8ymw/mkJtPyvWbT9Wlm0/3dRsPxcQbD9oQ2s/WcxqP+Keaj/7Xmo/3ndePwgwaj9YL2o/lDZqP14faj8gBmo/XfhpP3w3aj/gLGo/dllqP9jdaj8=",
    "mae": "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",
    "mse": "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",
    "lpips": "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",
    "lpips_vgg": "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"
  },
  "metrics_sha256": "d3650f9742e248a445a9cf569cac798f18936e6d3db4fa4365780659f46ede92",
  "predictions_sha256": "8461e1986da46f402d72ba44d5d48cf104787450d598e1781d04b4d4a4fbcf63",
  "ground_truth_sha256": "945340a8f78f4eb571d2fa237f242ed76a2cf863f947eb407092e5b9497dfa77",
  "evaluation_protocol": "nerf"
}