Datasets:
Download data/tables_1_7.json from AWSM01/AWSM: direct link, hf CLI and curl.
- Browser
- Download file 12.7 kB
-
https://huggingface.co/datasets/AWSM01/AWSM/resolve/main/data/tables_1_7.json
- Command line
-
hf download hf://datasets/AWSM01/AWSM/data/tables_1_7.json
-
curl -L -o tables_1_7.json https://huggingface.co/datasets/AWSM01/AWSM/resolve/main/data/tables_1_7.json
12.7 kB
| { | |
| "schema_version": 2, | |
| "status": "COMPLETE", | |
| "scope": "Only frozen models under astra_blender/models/M1..M4", | |
| "reference": "https://wentingw.github.io/astra-world-model-blog/#_5", | |
| "m1_notice": "M1 model-space metrics use one frozen GT-assisted Sim(3) from five manual camera associations. They are diagnostic and do not represent native metric recovery.", | |
| "protocols": { | |
| "table2": "180 fixed views × 19,200 pixels; optical-Z; GT-valid domain; no per-view fitting", | |
| "table3": { | |
| "model_surface_samples": 100000, | |
| "model_surface_seed": 20260923, | |
| "observed_gt_samples": 100000, | |
| "observed_gt_seed": 20260925, | |
| "distance": "exact nearest triangle", | |
| "bidirectional_mean": "arithmetic mean of model→GT and observed GT→model mean distances" | |
| }, | |
| "table4": { | |
| "views": [ | |
| 0, | |
| 36, | |
| 72, | |
| 108, | |
| 144 | |
| ], | |
| "resolution": [ | |
| 640, | |
| 480 | |
| ], | |
| "gt_resize": "Lanczos 1280x960 to 640x480", | |
| "metrics": "full-image PSNR, SSIM, LPIPS AlexNet v0.1; no crop/mask/fitting" | |
| }, | |
| "table5": { | |
| "scope": "100 seeded views drawn without replacement from the 175 modeling frames remaining after excluding fixed views; these are not unseen modeling inputs", | |
| "seed": 20260930, | |
| "excluded_fixed_views": [ | |
| 0, | |
| 36, | |
| 72, | |
| 108, | |
| 144 | |
| ], | |
| "selected_indices": [ | |
| 1, | |
| 2, | |
| 3, | |
| 5, | |
| 9, | |
| 12, | |
| 13, | |
| 14, | |
| 16, | |
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| 25, | |
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| 34, | |
| 38, | |
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| 42, | |
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| 46, | |
| 50, | |
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| 167, | |
| 168, | |
| 169, | |
| 170, | |
| 172, | |
| 177, | |
| 179 | |
| ], | |
| "resolution": [ | |
| 640, | |
| 480 | |
| ], | |
| "preprocessing": "GT RGB Lanczos 1280x960 to 640x480; RGB float32 [0,1]; no crop, mask, or color/exposure fitting", | |
| "metrics": "full-image PSNR, SSIM, LPIPS AlexNet v0.1", | |
| "aggregation": "arithmetic mean over the same frozen 100 views" | |
| }, | |
| "table6": { | |
| "views": [ | |
| 0, | |
| 36, | |
| 72, | |
| 108, | |
| 144 | |
| ], | |
| "depth": { | |
| "depth": "optical Z in metres", | |
| "domain": "GT valid_domain and finite GT in [0.1, 30] m", | |
| "prediction_valid": "finite prediction in [0.1, 30] m", | |
| "aggregation": "pixel-weighted over all selected frames", | |
| "missing_penalty": "30 m absolute error for each missing prediction" | |
| } | |
| }, | |
| "table7": { | |
| "scope": "the exact same 100 modeling-frame indices as Table 5; held out only from the fixed-five check", | |
| "seed": 20260930, | |
| "selected_indices": [ | |
| 1, | |
| 2, | |
| 3, | |
| 5, | |
| 9, | |
| 12, | |
| 13, | |
| 14, | |
| 16, | |
| 18, | |
| 19, | |
| 21, | |
| 22, | |
| 25, | |
| 26, | |
| 27, | |
| 28, | |
| 29, | |
| 30, | |
| 31, | |
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| 33, | |
| 34, | |
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| 46, | |
| 50, | |
| 52, | |
| 55, | |
| 56, | |
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| 142, | |
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| 155, | |
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| 160, | |
| 164, | |
| 166, | |
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| 168, | |
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| 170, | |
| 172, | |
| 177, | |
| 179 | |
| ], | |
| "depth": { | |
| "depth": "optical Z in metres", | |
| "domain": "GT valid_domain and finite GT in [0.1, 30] m", | |
| "prediction_valid": "finite prediction in [0.1, 30] m", | |
| "aggregation": "pixel-weighted over all selected frames", | |
| "missing_penalty": "30 m absolute error for each missing prediction" | |
| } | |
| } | |
| }, | |
| "tables": { | |
| "table1": [ | |
| { | |
| "method": "M1", | |
| "allowed_inputs": "180 张采样 RGB", | |
| "geometry_source": "视觉推断,无测量尺度", | |
| "modeling_role": "推断布局,编写对象与材质" | |
| }, | |
| { | |
| "method": "M2", | |
| "allowed_inputs": "完整 RGB 视频;选取 180 帧建模", | |
| "geometry_source": "ViPE RGB-only 位姿 → pose-conditioned DA3 深度", | |
| "modeling_role": "将位姿与深度测量组织为对象化场景" | |
| }, | |
| { | |
| "method": "M3", | |
| "allowed_inputs": "视频、IMU、相机–IMU 标定", | |
| "geometry_source": "ORB-SLAM3 单目惯性位姿 → pose-conditioned DA3 深度", | |
| "modeling_role": "结合图像、位姿、深度建模" | |
| }, | |
| { | |
| "method": "M4", | |
| "allowed_inputs": "视频及 GT camera pose", | |
| "geometry_source": "GT 位姿 → pose-conditioned DA3 深度", | |
| "modeling_role": "与 M3 相同类型的建模流程" | |
| } | |
| ], | |
| "table2": [ | |
| { | |
| "method": "M1", | |
| "ate_m": null, | |
| "rotation_deg": null, | |
| "native_depth_absrel": null, | |
| "model_depth_absrel": 0.16439823806285858, | |
| "alignment": "GT-assisted Sim(3), diagnostic only" | |
| }, | |
| { | |
| "method": "M2", | |
| "ate_m": 0.1668, | |
| "rotation_deg": 0.3065, | |
| "native_depth_absrel": 0.19056472003176061, | |
| "model_depth_absrel": 0.09286404401063919, | |
| "alignment": "one global SE(3), scale=1" | |
| }, | |
| { | |
| "method": "M3", | |
| "ate_m": 0.1205, | |
| "rotation_deg": 0.1943, | |
| "native_depth_absrel": 0.20379653842953233, | |
| "model_depth_absrel": 0.08371810615062714, | |
| "alignment": "one global SE(3), scale=1" | |
| }, | |
| { | |
| "method": "M4", | |
| "ate_m": "-", | |
| "rotation_deg": "-", | |
| "native_depth_absrel": 0.1886706026379072, | |
| "model_depth_absrel": 0.07600006461143494, | |
| "alignment": "GT coordinates" | |
| } | |
| ], | |
| "table3": [ | |
| { | |
| "method": "M1", | |
| "model_to_gt_mean_m": 0.34486243741226075, | |
| "observed_gt_to_model_mean_m": 0.40664686199496186, | |
| "model_sha256": "80f985ad09591bdb227e99e71f6bacaa0b9e8c8b565c27da64ad4ac4ceb8910e", | |
| "alignment": "GT-assisted Sim3 from frozen manual-view camera associations; shape/display diagnostic only; not metric recovery; no mesh ICP", | |
| "bidirectional_mean_m": 0.3757546497036113 | |
| }, | |
| { | |
| "method": "M2", | |
| "model_to_gt_mean_m": 0.13236121125603983, | |
| "observed_gt_to_model_mean_m": 0.10298419313248852, | |
| "model_sha256": "c19f33ec434bbcf89137e67d81c283b9adfd48f42e993d8b29d63e08318f79a6", | |
| "alignment": "one SE3 from 180 input camera correspondences; no scale fit", | |
| "bidirectional_mean_m": 0.11767270219426418 | |
| }, | |
| { | |
| "method": "M3", | |
| "model_to_gt_mean_m": 0.06935983382743138, | |
| "observed_gt_to_model_mean_m": 0.09502824761255278, | |
| "model_sha256": "00cd43eef3b4a6b2b2b169e8a7eda787dc57222dc501a3a9be09f39af5f46a9b", | |
| "alignment": "one SE3 from 180 input camera correspondences; no scale fit", | |
| "bidirectional_mean_m": 0.08219404071999209 | |
| }, | |
| { | |
| "method": "M4", | |
| "model_to_gt_mean_m": 0.06866006729939131, | |
| "observed_gt_to_model_mean_m": 0.07449522976921306, | |
| "model_sha256": "cc6cb605246a255d94e36b9dc3f8b91d5a292b047470bc0ff75b8a5c404b0cfe", | |
| "alignment": "permitted GT input coordinate frame; astra_blender/models/M4 T_input_model is identity", | |
| "bidirectional_mean_m": 0.07157764853430218 | |
| } | |
| ], | |
| "table4": [ | |
| { | |
| "method": "M1", | |
| "psnr_db": 10.260909193969148, | |
| "ssim": 0.3091735512018204, | |
| "lpips_alex_v01": 0.6575803160667419 | |
| }, | |
| { | |
| "method": "M2", | |
| "psnr_db": 12.95293150317823, | |
| "ssim": 0.3896766543388367, | |
| "lpips_alex_v01": 0.5310081720352173 | |
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| { | |
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| "psnr_db": 12.052547333787004, | |
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| "lpips_alex_v01": 0.5791207671165466 | |
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| "psnr_db": 12.294263798590851, | |
| "ssim": 0.34136943221092225, | |
| "lpips_alex_v01": 0.531274390220642 | |
| } | |
| ], | |
| "table5": [ | |
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| "method": "M1", | |
| "psnr_db": 11.691789500467046, | |
| "ssim": 0.31951158225536347, | |
| "lpips_alex_v01": 0.6073989069461823 | |
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| { | |
| "method": "M2", | |
| "psnr_db": 13.207560508419194, | |
| "ssim": 0.3776748192310333, | |
| "lpips_alex_v01": 0.5329300162196159 | |
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| "table6": [ | |
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| "rmse_m": 3.049535036087036, | |
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| "penalized_mae_m": 1.88661527633667 | |
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| "coverage": 0.9985833333333334, | |
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| "table7": [ | |
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| "penalized_mae_m": 1.2859067916870117 | |
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| { | |
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| "coverage": 0.9977067708333334, | |
| "penalized_mae_m": 0.6155765056610107 | |
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| "penalized_mae_m": 0.4945947229862213 | |
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| { | |
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| "rmse_m": 1.1474982500076294, | |
| "coverage": 0.998678125, | |
| "penalized_mae_m": 0.47199496626853943 | |
| } | |
| ] | |
| }, | |
| "source_files": { | |
| "base_tables_1_5": { | |
| "path": "astra_blender2/report/space/results/blog_tables_1_5/tables_1_5.json", | |
| "sha256": "35379c83f758cacad2b9a07c1d1159f332bf109e94cf3cddd7e6ccde0d0b8270" | |
| }, | |
| "view_subset_manifest": { | |
| "path": "astra_blender2/evaluation/blog_extended_100_20260930/view_subset_manifest.json", | |
| "sha256": "f03f7561b01fe1132dcbc16890e9abb10af73b5c4589f75b38aa698a3819feca" | |
| }, | |
| "appearance_metrics": { | |
| "path": "astra_blender2/evaluation/blog_extended_100_20260930/appearance_metrics.json", | |
| "sha256": "bd8a3e4cd06ef42030a1e49008b321b4ee51f134059c681d2a709bf5e39874fd" | |
| }, | |
| "depth_metrics": { | |
| "path": "astra_blender2/evaluation/blog_extended_100_20260930/depth_metrics.json", | |
| "sha256": "709809701db36c49ab848d665da330a7cb213cf26675212dbcf214d7e4cd5b24" | |
| } | |
| } | |
| } | |