{
  "benchmark": "L3-004 (CACTI) \u2014 InverseNet SCI Video Benchmark",
  "citation": "Yuan et al. CACTI; Yang et al. SCI Video Benchmark",
  "data_range": "[0, 1] for both ground_truth and solution (normalized from raw .mat)",
  "generated_by": "scripts/regenerate_demos_inversenet.py",
  "how_to_run": "python3 scripts/regenerate_demos_inversenet.py --only cacti (uses pwm_core.recon.cacti_solvers.gap_tv_cacti)",
  "psnr_convention": "InverseNet paper compute_psnr: clip both to [0,1], peak=1",
  "reference_solver_psnr_db": 27.99,
  "scene_id": "kobe",
  "sha256": {
    "ground_truth.npz": "e60b87e3d41d46562d6c7ca4c3adb47ee12e44f8e1a1b8452e2921097b5da313",
    "snapshot.npz": "bb65f99748e00d89c41fac317c68e28d637a85ebbf287e36d8e076a3250ce6c3",
    "solution.npz": "31dfb237ffb1f304eb082b3acee61e310b61844df655292a0945631b828436a5"
  },
  "shape_ground_truth": [
    8,
    256,
    256
  ],
  "shape_snapshot": [
    256,
    256
  ],
  "shape_solution": [
    8,
    256,
    256
  ],
  "solver": "pwm_core.recon.cacti_solvers.gap_tv_cacti",
  "solver_elapsed_sec": 3.4,
  "solver_iterations": 100,
  "source_dataset": "SCI Video Benchmark (Kobe/Traffic/Runner/Drop/Crash/Aerial); Liu et al. 2019 + Yuan et al. Bell Labs",
  "source_mat": "kobe_cacti.mat",
  "tier_approx": "T1_nominal",
  "tv_weight": 0.1
}