{ "render_datetime": "2024-06-20T09:02:25", "render_version": "0.0.16.dev63+g7840983.d20240612", "render_dataset_metadata": { "name": "blender", "scene": "chair", "color_space": "srgb", "type": "object-centric", "evaluation_protocol": "nerf", "expected_scene_scale": 4, "viewer_transform": [ [ 0.015238, -0.242023, 0.01308, -0.0 ], [ 0.242374, 0.01526, -1e-06, 0.0 ], [ -0.000821, 0.013054, 0.242502, 0.0 ] ], "viewer_initial_pose": [ [ -0.062744, -0.768168, 0.637166, -0.623771 ], [ -0.998024, 0.046129, -0.042665, 0.041768 ], [ 0.003382, -0.638584, -0.769544, 0.753366 ] ], "background_color": [ 255, 255, 255 ] }, "nb_info": { "method": "instant-ngp", "total_train_time": 168.46419, "resources_utilization": { "memory": 2953, "gpu_memory": 2630, "gpu_name": "NVIDIA A100-SXM4-40GB" }, "datetime": "2024-06-12T16:36:42", "nb_version": "0.0.11.dev4+g10f4f61", "num_iterations": 35000, "config_overrides": { "testbed.color_space": "SRGB", "testbed.nerf.cone_angle_constant": 0, "testbed.nerf.training.random_bg_color": false, "testbed.background_color": "1.0,1.0,1.0,1.0", "aabb_scale": null, "keep_coords": true }, "dataset_metadata": { "name": "blender", "scene": "chair", "color_space": "srgb", "type": "object-centric", "evaluation_protocol": "nerf", "expected_scene_scale": 4, "viewer_transform": [ [ 0.067291, 0.228436, -0.0098, -0.0 ], [ -0.2282, 0.066459, -0.017758, 0.0 ], [ -0.014287, 0.014397, 0.237478, 0.0 ] ], "viewer_initial_pose": [ [ -0.625298, 0.592226, -0.508203, 0.488276 ], [ 0.779709, 0.50124, -0.37525, 0.360536 ], [ 0.032499, -0.630894, -0.775188, 0.744793 ] ], "background_color": [ 255, 255, 255 ] }, "evaluation_protocol": "nerf", "hparams": { "loss.otype": "Huber", "optimizer.otype": "Ema", "optimizer.decay": 0.95, "optimizer.nested.otype": "ExponentialDecay", "optimizer.nested.decay_start": 20000, "optimizer.nested.decay_interval": 10000, "optimizer.nested.decay_base": 0.33, "optimizer.nested.nested.otype": "Adam", "optimizer.nested.nested.learning_rate": 0.01, "optimizer.nested.nested.beta1": 0.9, "optimizer.nested.nested.beta2": 0.99, "optimizer.nested.nested.epsilon": 1e-15, "optimizer.nested.nested.l2_reg": 1e-06, "encoding.otype": "HashGrid", "encoding.n_levels": 8, "encoding.n_features_per_level": 4, "encoding.log2_hashmap_size": 19, "encoding.base_resolution": 16, "network.otype": "FullyFusedMLP", "network.activation": "ReLU", "network.output_activation": "None", "network.n_neurons": 64, "network.n_hidden_layers": 1, "dir_encoding.otype": "Composite", "dir_encoding.nested": [ { "n_dims_to_encode": 3, "otype": "SphericalHarmonics", "degree": 4 }, { "otype": "Identity" } ], "rgb_network.otype": "FullyFusedMLP", "rgb_network.activation": "ReLU", "rgb_network.output_activation": "None", "rgb_network.n_neurons": 64, "rgb_network.n_hidden_layers": 2, "distortion_map.resolution": [ 32, 32 ], "distortion_map.optimizer.otype": "ExponentialDecay", "distortion_map.optimizer.decay_start": 10000, "distortion_map.optimizer.decay_interval": 5000, "distortion_map.optimizer.decay_end": 25000, "distortion_map.optimizer.decay_base": 0.33, "distortion_map.optimizer.nested.otype": "Adam", "distortion_map.optimizer.nested.learning_rate": 0.0001, "distortion_map.optimizer.nested.beta1": 0.9, "distortion_map.optimizer.nested.beta2": 0.99, "distortion_map.optimizer.nested.epsilon": 1e-08, "envmap.loss.otype": "RelativeL2", "envmap.optimizer.otype": "Ema", "envmap.optimizer.decay": 0.99, "envmap.optimizer.nested.otype": "ExponentialDecay", "envmap.optimizer.nested.decay_start": 10000, "envmap.optimizer.nested.decay_interval": 5000, "envmap.optimizer.nested.decay_base": 0.33, "envmap.optimizer.nested.nested.otype": "Adam", "envmap.optimizer.nested.nested.learning_rate": 0.01, "envmap.optimizer.nested.nested.beta1": 0.9, "envmap.optimizer.nested.nested.beta2": 0.99, "envmap.optimizer.nested.nested.beta3": 0.9, "envmap.optimizer.nested.nested.beta_shampoo": 0.0, "envmap.optimizer.nested.nested.epsilon": 1e-10, "envmap.optimizer.nested.nested.identity": 0.0001, "envmap.optimizer.nested.nested.cg_on_momentum": false, "envmap.optimizer.nested.nested.frobenius_normalization": true, "envmap.optimizer.nested.nested.l2_reg": 1e-10, "testbed.color_space": "SRGB", "testbed.nerf.cone_angle_constant": 0, "testbed.nerf.training.random_bg_color": false, "testbed.background_color": [ 1.0, 1.0, 1.0, 1.0 ], "aabb_scale": null, "keep_coords": true }, "checkpoint_sha256": "92cfe7b42f5d5264d0c7dda8cccf77a2d641bf8053b44dcb03be63980128f130" }, "evaluate_datetime": "2024-06-20T09:04:24", "evaluate_version": "0.0.16.dev63+g7840983.d20240612", "metrics": { "psnr": 35.07294, "ssim": 0.98439, "mae": 0.00766, "mse": 0.00033, "lpips": 0.01038, "lpips_vgg": 0.02303 }, "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": "37c1788b80a78cf7e868a4cec12ac7c7a0ec219fee49a16e25ab124f64f6f9b3", "predictions_sha256": "93e596ea82d65d15c5990d958e45921950e52f3aa6067a10bb3848212df16fd4", "ground_truth_sha256": "8221c00363e272e31473ba63f408f6e71bb0507f0b3edcfb3ce7dbecc5c6f4e2", "evaluation_protocol": "nerf" }