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Update results v1 release
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{
"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",
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"nb_info": {
"method": "kplanes",
"num_iterations": 30001,
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"resources_utilization": {
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"gpu_name": " NVIDIA A100-SXM4-40GB",
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},
"datetime": "2024-06-17T18:11:38+0200",
"config_overrides": {
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},
"dataset_metadata": {
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"scene": "drums",
"color_space": "srgb",
"type": "object-centric",
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},
"evaluation_protocol": "nerf",
"hparams": {
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"concat_features_across_scales": true,
"contract": false,
"data_dirs": [
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],
"data_downsample": 1.0,
"density_activation": "trunc_exp",
"distortion_loss_weight": 0.001,
"grid_config": [
{
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"input_coordinate_dim": 3,
"output_coordinate_dim": 32,
"resolution": [
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}
],
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"lr": 0.01,
"multiscale_res": [
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"ndc": false,
"num_proposal_iterations": 2,
"num_proposal_samples": [
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],
"num_samples": 48,
"num_steps": 30001,
"optim_type": "adam",
"plane_tv_weight": 0.0001,
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"proposal_net_args_list": [
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"resolution": [
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},
{
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"resolution": [
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}
],
"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"
},
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"checkpoint_sha256": "3b0a8ec795ac52ce1bcd8e126f89635a1a6167527bea2f255f68d2900264d4b0"
},
"evaluate_datetime": "2024-06-20T10:38:56",
"evaluate_version": "0.0.16.dev63+g7840983.d20240612",
"metrics": {
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"ssim": 0.93796,
"mae": 0.01707,
"mse": 0.00287,
"lpips": 0.053,
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"metrics_raw": {
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"lpips": "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",
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},
"metrics_sha256": "2e7a42c0504ebdc4ff3d0e8d52d97c1bd8d988a6524467c0b9c7aa375872e4b6",
"predictions_sha256": "7df05b9a8047243ab7da4dc330bb5ee8fe0628fb09904ed721cc3f7a78333ea2",
"ground_truth_sha256": "3cdf260fe025b35d4ddc19b08aae2853be04aa28caa11a5af613e398a4a34fb5",
"evaluation_protocol": "nerf"
}