| { |
| "model": "nrr_upscaler_trained", |
| "parameters": 112907, |
| "inputs": [ |
| "color", |
| "depth", |
| "motion" |
| ], |
| "channels": 32, |
| "ratio": 2.0, |
| "ratio_phases": [ |
| 2, |
| 1 |
| ], |
| "depth_channels": 8, |
| "motion_channels": 8, |
| "naive_channels": 8, |
| "epochs": 3, |
| "batch_size": 2, |
| "learning_rate": 0.002, |
| "seed": 20260930, |
| "loss": "l1", |
| "ssim_weight": 0.1, |
| "lr_schedule": "linear-warmup", |
| "detail_weight": 0.0, |
| "deterministic": false, |
| "zeroed_input": null, |
| "input_source": "noisy", |
| "task": "upscale", |
| "loading": "eager", |
| "augmentation": null, |
| "device": { |
| "used": "cpu", |
| "requested": "auto", |
| "cuda_available": false, |
| "torch": "2.3.1+cpu", |
| "cuda_build": null |
| }, |
| "gpu": { |
| "samples": 0, |
| "note": "not a CUDA run, so utilization was not sampled" |
| }, |
| "gpu_torch_peak_memory_mb": null, |
| "train_seconds": 6.91, |
| "dataset": { |
| "dir": "G:\\NRR-capture\\rect-pairs-final", |
| "manifest_sha256": "01873ea74429a798d2576530dccf6c1bca5f3a32abb33f8e7f6b2b382c2e85be", |
| "generator": "pack_godot_pairs.py", |
| "seed": 20261001, |
| "count": 18, |
| "sizes": { |
| "train": 12, |
| "val": 6 |
| } |
| }, |
| "measured_history": null, |
| "measured": { |
| "val_l1": 0.011708776466548443, |
| "val_baseline_l1": 0.011637873016297817, |
| "drift": 0.0007237495156005025, |
| "depth_ablation": 0.0018122837645933032, |
| "motion_ablation": 2.0015180268728727e-07, |
| "history_ablation": 0.0, |
| "jitter_ablation": 0.0, |
| "validity_ablation": 0.0, |
| "history_jitter_ablation": 0.0, |
| "naive_ablation": 0.0, |
| "ssim": 0.8894231792048303, |
| "psnr_db": 28.324633147051152, |
| "ms_ssim": 0.9528655988366382, |
| "baseline_ssim": 0.8898413370399213, |
| "baseline_psnr_db": 28.330424100574476, |
| "baseline_ms_ssim": 0.9529814801078552, |
| "train_first_loss": 0.021273157248894375, |
| "train_last_loss": 0.01608101837337017, |
| "train_first_l1": 0.021273157248894375, |
| "train_last_l1": 0.01608101837337017, |
| "train_progress": 0.24406997112730194, |
| "objective_progress": 0.24406997112730194, |
| "improvement": -0.006092474986737928 |
| }, |
| "gates": { |
| "min_improvement": 0.05, |
| "baseline_floor": 0.001, |
| "conditioning_floor": 0.0001, |
| "failures": [ |
| "does not beat the baseline: val L1 0.01171 against the baseline's 0.01164, which is not at least 5% lower", |
| "is the baseline: its output differs from the plane it corrects by only 0.000724 (needs > 0.0010), so nothing was learned", |
| "ignores motion: zeroing it changes the output by only 0.000000 (needs > 0.0001)" |
| ] |
| }, |
| "unqualified": { |
| "failures": [ |
| "does not beat the baseline: val L1 0.01171 against the baseline's 0.01164, which is not at least 5% lower", |
| "is the baseline: its output differs from the plane it corrects by only 0.000724 (needs > 0.0010), so nothing was learned", |
| "ignores motion: zeroing it changes the output by only 0.000000 (needs > 0.0001)" |
| ], |
| "exported_by": "--export-unqualified", |
| "note": "this artifact does NOT pass the release gates. It is exported to serve as a baseline or a candidate, and every number measured with it carries that qualification." |
| }, |
| "export": { |
| "path": "G:\\NRR-capture\\rect-model.onnx", |
| "opset": 17, |
| "verify": { |
| "checked": true, |
| "onnxruntime": "1.20.1", |
| "max_abs_difference": 1.1920928955078125e-07 |
| }, |
| "dynamic_size_check": { |
| "input_size": 96, |
| "output_shape": [ |
| 1, |
| 3, |
| 192, |
| 192 |
| ], |
| "expected": [ |
| 1, |
| 3, |
| 192, |
| 192 |
| ], |
| "ratio": 2.0 |
| }, |
| "sha256": "eb45a248078d5a2f46af489e846ed30b352bec4600dec7937e6e1bc8689fdea8" |
| } |
| } |
|
|
