{
  "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": 34.37,
  "scene_id": "scene09",
  "sha256": {
    "ground_truth.npz": "760cd8cff9ba4a5467a738ccc5c76f5d7f9e6e74e12a1801614e427b6c92d919",
    "snapshot.npz": "9d636fad71781a976f5117b08f464883f28d05ea4002f65f47616bcad6c46c4f",
    "solution.npz": "0fec9ede1f5f3e0a667f61edf66576db1faaf3b7af829df8518116ae32273879"
  },
  "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": 3.5,
  "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
}