{
  "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": 34.56,
  "scene_id": "scene06",
  "sha256": {
    "ground_truth.npz": "d2b6c8f3738f31913c71b0270ce780ed71f4d56cef7cc79c72b6d686ef1b349a",
    "snapshot.npz": "a86ab5a6643d9dfdc24c56219c94f660c4026d5195880ef30391b4f00bf0fdb4",
    "solution.npz": "d4bbf113cc6465437c7e2a330a2119e933ffdc138456221c3753ea7c30e056c5"
  },
  "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": 18.4,
  "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
}