{
  "benchmark": "L3-003 (CASSI) \u2014 InverseNet KAIST-10 benchmark",
  "citation": "Cai et al. 2022 MST CVPR + KAIST dataset; used in MST/HDNet/CST/DAUHST benchmarks",
  "dispersion_step_px": 2,
  "generated_by": "scripts/regen_demos_mst_l.py",
  "how_to_run": "python3 scripts/regen_demos_mst_l.py  (uses pwm_core.recon.mst.mst_recon_cassi with mst_l weights)",
  "psnr_convention": "InverseNet paper compute_psnr: clip both to [0,1], peak=1",
  "reference_solver": "pwm_core.recon.mst.mst_recon_cassi",
  "reference_solver_psnr_db": 40.05,
  "scene_id": "scene04",
  "sha256": {
    "ground_truth.npz": "22f5b558354936cfb35af27affd18f87e9bcdcb6ac95751337c1223c3df4c4e9",
    "snapshot.npz": "0b82147e4fcb1d8800316f4923b5743d1db7ff4ed0d280d920dd3aba48df2b17",
    "solution.npz": "6a24d151b52346d73f84506b26a1d0e12c34e9077a4388b7b40ccb65e919e6e3"
  },
  "shape_ground_truth": [
    256,
    256,
    28
  ],
  "shape_snapshot": [
    256,
    310
  ],
  "shape_solution": [
    256,
    256,
    28
  ],
  "solver": "pwm_core.recon.mst.mst_recon_cassi",
  "solver_elapsed_sec": 9.9,
  "solver_iterations": 100,
  "solver_variant": "mst_l",
  "source_dataset": "KAIST-10 hyperspectral CASSI scenes; InverseNet paper KAIST split",
  "tier_approx": "T1_nominal",
  "tv_lambda": 0.1
}