{
  "render_datetime": "2024-06-23T20:50:42",
  "render_version": "develop",
  "render_dataset_metadata": {
    "name": "blender",
    "scene": "materials",
    "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": "tetra-nerf",
    "total_train_time": 23010.89734,
    "resources_utilization": {
      "memory": 4842,
      "gpu_memory": 38890,
      "gpu_name": "NVIDIA A100-SXM4-40GB"
    },
    "datetime": "2024-06-12T16:14:22",
    "nb_version": "0.0.12.dev0+g6303cdb.d20231223",
    "num_iterations": 300000,
    "config_overrides": {
      "pipeline.datamanager.dataparser": "blender-data"
    },
    "dataset_metadata": {
      "name": "blender",
      "scene": "materials",
      "color_space": "srgb",
      "type": "object-centric",
      "evaluation_protocol": "nerf",
      "expected_scene_scale": 4,
      "viewer_transform": [
        [
          -0.191745,
          -0.12815,
          0.054467,
          -0.0
        ],
        [
          0.130883,
          -0.197508,
          -0.00394,
          -0.0
        ],
        [
          0.047528,
          0.026895,
          0.230593,
          -0.0
        ]
      ],
      "viewer_initial_pose": [
        [
          0.908305,
          0.066228,
          0.413032,
          -0.394553
        ],
        [
          -0.355399,
          0.642937,
          0.678471,
          -0.648117
        ],
        [
          -0.22062,
          -0.763051,
          0.60752,
          -0.58034
        ]
      ],
      "background_color": [
        255,
        255,
        255
      ]
    },
    "evaluation_protocol": "nerf",
    "hparams": {
      "_target": "nerfstudio.engine.trainer:Trainer",
      "method_name": "tetra-nerf-original",
      "machine.seed": 42,
      "machine.num_devices": 1,
      "machine.num_machines": 1,
      "machine.machine_rank": 0,
      "machine.dist_url": "auto",
      "machine.device_type": "cuda",
      "pipeline._target": "tetranerf.nerfstudio.pipeline:TetrahedraNerfPipeline",
      "pipeline.datamanager._target": "nerfbaselines.methods.tetranerf:DM",
      "pipeline.datamanager.camera_optimizer._target": "nerfstudio.cameras.camera_optimizers:CameraOptimizer",
      "pipeline.datamanager.camera_optimizer.mode": "off",
      "pipeline.datamanager.camera_optimizer.position_noise_std": 0.0,
      "pipeline.datamanager.camera_optimizer.orientation_noise_std": 0.0,
      "pipeline.datamanager.camera_optimizer.optimizer._target": "torch.optim.adam:Adam",
      "pipeline.datamanager.camera_optimizer.optimizer.lr": 0.0006,
      "pipeline.datamanager.camera_optimizer.optimizer.eps": 1e-15,
      "pipeline.datamanager.camera_optimizer.optimizer.max_norm": null,
      "pipeline.datamanager.camera_optimizer.optimizer.weight_decay": 0,
      "pipeline.datamanager.camera_optimizer.scheduler._target": "nerfstudio.engine.schedulers:ExponentialDecayScheduler",
      "pipeline.datamanager.camera_optimizer.scheduler.lr_pre_warmup": 1e-08,
      "pipeline.datamanager.camera_optimizer.scheduler.lr_final": null,
      "pipeline.datamanager.camera_optimizer.scheduler.warmup_steps": 0,
      "pipeline.datamanager.camera_optimizer.scheduler.max_steps": 10000,
      "pipeline.datamanager.camera_optimizer.scheduler.ramp": "cosine",
      "pipeline.datamanager.camera_optimizer.param_group": "camera_opt",
      "pipeline.datamanager.masks_on_gpu": false,
      "pipeline.datamanager.images_on_gpu": false,
      "pipeline.datamanager.dataparser.scale_factor": 1.0,
      "pipeline.datamanager.dataparser.alpha_color": "white",
      "pipeline.datamanager.train_num_rays_per_batch": 4096,
      "pipeline.datamanager.train_num_images_to_sample_from": -1,
      "pipeline.datamanager.train_num_times_to_repeat_images": -1,
      "pipeline.datamanager.eval_num_rays_per_batch": 4096,
      "pipeline.datamanager.eval_num_images_to_sample_from": -1,
      "pipeline.datamanager.eval_num_times_to_repeat_images": -1,
      "pipeline.datamanager.eval_image_indices": "0",
      "pipeline.datamanager.collate_fn": "nerfstudio.data.utils.nerfstudio_collate:nerfstudio_collate",
      "pipeline.datamanager.camera_res_scale_factor": 1.0,
      "pipeline.datamanager.patch_size": 1,
      "pipeline.datamanager.pixel_sampler._target": "nerfstudio.data.pixel_samplers:PixelSampler",
      "pipeline.datamanager.pixel_sampler.num_rays_per_batch": 4096,
      "pipeline.datamanager.pixel_sampler.keep_full_image": false,
      "pipeline.datamanager.pixel_sampler.is_equirectangular": false,
      "pipeline.model._target": "nerfbaselines.methods.tetranerf:M",
      "pipeline.model.enable_collider": true,
      "pipeline.model.collider_params.far_plane": 6.0,
      "pipeline.model.collider_params.near_plane": 2.0,
      "pipeline.model.loss_coefficients.rgb_loss_coarse": 1.0,
      "pipeline.model.loss_coefficients.rgb_loss_fine": 1.0,
      "pipeline.model.eval_num_rays_per_chunk": 4096,
      "pipeline.model.prompt": null,
      "pipeline.model.tetrahedra_path": null,
      "pipeline.model.num_tetrahedra_vertices": 160816,
      "pipeline.model.num_tetrahedra_cells": 1039419,
      "pipeline.model.max_intersected_triangles": 512,
      "pipeline.model.num_samples": 256,
      "pipeline.model.num_fine_samples": 256,
      "pipeline.model.use_biased_sampler": false,
      "pipeline.model.field_dim": 64,
      "pipeline.model.num_color_layers": 1,
      "pipeline.model.num_density_layers": 3,
      "pipeline.model.hidden_size": 128,
      "pipeline.model.input_fourier_frequencies": 0,
      "pipeline.model.initialize_colors": true,
      "pipeline.model.use_gradient_scaling": false,
      "pipeline.model.background_color": "white",
      "pipeline.model.appearance_embed_dim": 0,
      "pipeline.model.use_occupancy_field": false,
      "optimizers.fields.optimizer._target": "torch.optim.radam:RAdam",
      "optimizers.fields.optimizer.lr": 0.001,
      "optimizers.fields.optimizer.eps": 1e-08,
      "optimizers.fields.optimizer.max_norm": null,
      "optimizers.fields.optimizer.weight_decay": 0,
      "optimizers.fields.scheduler._target": "nerfstudio.engine.schedulers:ExponentialDecayScheduler",
      "optimizers.fields.scheduler.lr_pre_warmup": 1e-08,
      "optimizers.fields.scheduler.lr_final": 0.0001,
      "optimizers.fields.scheduler.warmup_steps": 0,
      "optimizers.fields.scheduler.max_steps": 300000,
      "optimizers.fields.scheduler.ramp": "cosine",
      "max_num_iterations": 300000,
      "mixed_precision": false,
      "use_grad_scaler": false,
      "gradient_accumulation_steps": 1
    },
    "checkpoint_sha256": "deb6b358e4b707c6404d600a05413b267f2276cab703e0e8fe46ea613c487143"
  },
  "evaluate_datetime": "2024-06-23T21:11:22",
  "evaluate_version": "develop",
  "metrics": {
    "psnr": 28.74799,
    "ssim": 0.94118,
    "mae": 0.0115,
    "mse": 0.00146,
    "lpips": 0.03764,
    "lpips_vgg": 0.07551
  },
  "metrics_raw": {
    "psnr": "ZojOQTw+y0HVFMpBxF3kQetZ4UGZDuBB8ELhQeaj5EHvcOZBZPzmQZep4kGuXuFBbpfhQbu+y0EipepBvVv0QUD760FwWOhBnC7gQQLi20EHL95BfBbjQezL4EFEfNhBL17NQSt600EGbtNBRBjUQYZM10F9Xd9BdA7lQeaP6EGQ9OZBEiLoQc8B7UECVs5BQYbyQbYv+0GCJgBCQLjxQapR6UF6BuVBYUTgQa2z20Fj+NlB9F7ZQUt7zkH4LNpByc/ZQXIE3EEjl99BdjjkQUdY60GdJ/NBoq77Qdaa/0FlvAFCYgvPQUAj/kHgqfVBK3bvQfuC6kGUdOZB6TvjQe6l4EHsaN1BbRzaQRhV2kHw889BIM3bQb4Y3kE4K+FB4KHkQXzG6UFib+9BWsDyQfYf80HBrvNBxIT2QRLY0kH66flBAWX9QXB3AEKn7wBCfsEBQu51BEKsYgRCwKD9Qf/Y9EG64+5B9LjXQWj660GkpepBVIDsQcR88EGczvVBplkAQsF9/EGtZ/hBgPP2QRt590HvQd1B8Hv3QUZB9kHmmfVBHXHvQQ0o6EFs6uFBzB/cQe7N1kFrNNNBzpDQQTa9x0Hm1uNBWhDsQZzB7kHzX+lB4hziQa3a3EFBk9pBeN3ZQdiV20GnF+FBRIrFQbZJ6EGyF+9BAC3tQVh450FOYONBjcfgQcVy30EOdeBB6krjQWwT50GVq8RBA3PpQSwb6kEI9uhBmynpQXSt6kGyHu5BIXH1QUPY/EF6wf5BNGsCQsHEw0HRAf9Bi971QXjo7kGHlOhBBqDkQSPe4EHIa91BPXvcQfIm20F/BNtB1uPDQYw120F5AdpB8VbZQcSY2UFJzdlBoFzcQakD4EGWM+NBbxHkQQoZ4UEDIcZBTjLgQQPH4EHJ1ORBjfvpQWMR9EEskvtBqCL/QciJ+0FaF/JBLF7tQV1mx0H0yuhBQsnnQf1d6kEMYO5B3yXwQQgc70Hep+xBnEHrQYjH6kGO++hBT0fIQQrh5kEosONBSMDgQfgW3EGLNdlBZtnXQYSl2kFrgeBBthnoQTuG7EE=",
    "ssim": "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",
    "mae": "6CCMPH2pkzxITJU8ZokXPGJ2GjxHbxs8WysXPJOFEDxspQ880OUPPOTQGjw18h08a7ciPPRQkTwR8RE8ng0APPKtDjwAmBc84vwnPBuZNzzd+DE8hlkpPHDvLjx20kU8ImWNPH43WDwKRFU8KdVPPNabQzxyMS08XGoePA5MGTwG+R48rPMfPCLFFjzErYk82EUPPFM3AjwDmfI7Wh4TPNinKDz1vDU8PqRCPI6JVTwyPF48pHRiPBDliDxoZ2A8iQNiPG/KWjxTZ0483ixAPGQFLTy1QRs8okILPGwoBTxcLfw7RKyGPO4CCTz+MRo8w+8pPBSUOTyu1UU8OE1QPPXJWjxlO2Q8tWZsPEdNcDzWWoU8pxZuPB93ZTyyDlk8xNpMPFLQPDwPFiw8Y74hPJZfHjxKCxs8/A0UPM8qgDw75g48hqAHPENaADxx/fs7xBP3O+dy5DtHCOQ7kkEGPFFuGTy1HSk81oFwPHovMDwIJzU8D9kwPMJMKDzcZRo8HRMCPNTaDDzQBhM8t9IXPHjmFjzb6lw8jMgWPA6aGjw4PRw8yE4rPOUMPzx9dFA8vC5jPP32djyHa4M839CIPC5zmzzvhUo8FJQzPDGcKzyA9zk8UwNLPPAzVjxrSVs8hPBdPDKQWzxVgks8NRKgPBXIOjxQnCs8QJcxPGzkPzzRsks8W5dTPMWEVzyGb1U8+/pMPAYHQjx6vaE8Ujk+PJ8jPDx2eT0873c8PC9ZNTzYvSo8P4MaPHjkDDxV0wg8WUH4O19TpDwU2AY8VxkaPMeVKzzhjz089pdJPByXVTzJnV88y95kPDqqazx4emw8jOekPHT8ajx1zWw86zRsPPmNaTzIH2c8LrdhPPLJVDxFQ0g8IjtBPGhHRzwRC6A8EdNEPDoHQTw0qjE8VSokPECoCjywuvc7pPjsO4ff8zvflQw8clwcPLfzmzypjio863gtPF1TJTyxCBo8kjEQPIuTDzxnHBI8LiwSPCOnEjxm6BU83HaZPM9nGDwx+SE828wpPKulNjwjUz0842o9PGPaMjzb1h88FeQOPP10Bzw=",
    "mse": "OLgrOwfGPDs5MUM72zO3Op3Pxzr8ZM8671PIOn/DtTr+lKw6qeWpOiRpwDo9tMc6EW/GOuUQOjv26Zg6ID1nOswkkzqWYKM6PKbOOq3e6TpC4to6wxG+OssGyzqH8gA7HpMxO+7wFDsGJRU7MFESO0htBTvHkNM6YZmzOptcojr9C6o6CWGkOhjdjjr8sSw7vsVzOin7PTrG+SM6BHx5OuTcnjqfwrM67iTOOmUX6zrmGvc6oWf7Ogv5KzsKpvU6UDz4Oln36DrjMtI69Pi3OmDdlTrKY286CUo7OjNLJzoqrBU6jzUpO2mCLjp8tl46dx6FOo6AmTrpgqw6cUW9OkjlyzpS0N86Gxv2OvKK9Dqm1yQ7b2vqOtdu2zro3Mg6G861Oj3KnDp6OIU6cS9yOo6Ybzqsx2s6fUxZOjKuFztOEUU6Q0gyOsMEITpouRw6RYAVOs7j/zkOgAA6thYxOkUBZDovVIc6a88DO2Qokzq355g6ZfWQOgc/gTp9y1061hkiOnP6Njq40E06MJxWOhRpUzoIzOA631dTOjT0WjoAHV860zGFOrxEpDpGl8Q6OUDoOutWBzsdHRY77vUhOxfOUDtsALo6h8uSOlbZhzqim546k3rDOgds4zr71vI6pdr3Opzh6zokTsk6unJeO+ClozpfioY65iuOOr+LpzqRf7w6XCDLOlwP0zroBM06xvO8OjV1qTpwFmQ7tESeOt1NmzoKgqA6eZSfOlvFmDo0XIo6ZCNgOjQgNTqwbis6QOcPOqUVajteMio63mVdOrhBhzr3RqI6yNe1OnScyjrtvd86GODlOjXX7jp7xO86mERpO+Zy7jpS2vY6pqH7OqjG+TozTvg6+KrmOk6mzzrScr06FMi4OhlGyTqztVo7PpDOOnsjyzpyxLQ6dtubOgguaTq44zs6xpEpOiARPDq61HY6QmONOp7aUjuPSaE6VgemOlAkmjrpWIk63oOCOpV5hjrJUJA6SD+WOtdSmDqKaKA6k5ZNO59rqjpO0Lo64ErLOkV76Dr8k/w6jVQDO3ZX8jr7u8w6mYikOsbckDo=",
    "lpips": "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",
    "lpips_vgg": "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"
  },
  "metrics_sha256": "a2b258908ed5db1b7fcd53cc6aef42978dbab79768fbacd599f55c50786935f9",
  "predictions_sha256": "b4e8be961f87e02a696776ea9340e5289a252335317e9a2458fba8374046dc39",
  "ground_truth_sha256": "0c03760970bed3c5aefb1d0623835947e99f0801c7ea3698863f5bbd9a37796d",
  "evaluation_protocol": "nerf"
}