{
  "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": 35.3,
  "scene_id": "scene01",
  "sha256": {
    "ground_truth.npz": "fc17d8ff5930a47f436953acdb270265380ace799e13d1015d247ce6d07eff6e",
    "snapshot.npz": "34ace23eec7926b3d5066c8ccb03f898629985b725da615dbf4fd41407f8fb53",
    "solution.npz": "a74e89943170be3e71898da47593b9ab16a32acff345d14716368d71b509312a"
  },
  "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": 3.6,
  "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
}