"""Load a single Bricker sample. python scripts/load_sample.py Example: python scripts/load_sample.py ../data/real/Test/scene_0000/000000_game Works for both subsets (`real/` and `syn/`); only numpy is required. """ from __future__ import annotations import argparse import os import numpy as np FRAME_KEYS = ("I1", "I2", "I3", "I4", "I5") EXPOSURE = {"I1": "1/16x", "I2": "1/4x", "I3": "1x (reference)", "I4": "4x", "I5": "16x"} WHITE_LEVEL = 1023.0 # frames are stored as uint16 scaled to 2**10 - 1 def load_sample(sample_dir: str, normalize: bool = True) -> dict: """Read one sample directory. Returns a dict with: frames -- {key: uint16 array of shape (Hp, Wp, 4)} for I1..I5 gt -- float32 array of shape (Hp, Wp, 4), 1.0 = white level meta -- metadata dict (see README) raw -- optional uint16 stack of the five frames, shape (5, Hp, Wp, 4) """ frames = {k: np.load(os.path.join(sample_dir, f"raw_{k}.npy")) for k in FRAME_KEYS} gt = np.load(os.path.join(sample_dir, "raw_gt.npy")) meta = np.load(os.path.join(sample_dir, "metadata.npy"), allow_pickle=True).item() out = {"frames": frames, "gt": gt, "meta": meta} if normalize: out["raw"] = np.stack([frames[k].astype(np.float32) / WHITE_LEVEL for k in FRAME_KEYS]) return out def main() -> None: ap = argparse.ArgumentParser(description=__doc__) ap.add_argument("sample_dir") args = ap.parse_args() s = load_sample(args.sample_dir) print(f"sample: {args.sample_dir}") for k in FRAME_KEYS: a = s["frames"][k] print(f" raw_{k}.npy {str(a.dtype):7s} {a.shape} exposure={EXPOSURE[k]:14s} " f"min={a.min():5d} max={a.max():5d} mean={a.mean():8.1f}") print(f" raw_gt.npy {str(s['gt'].dtype):7s} {s['gt'].shape} " f"min={s['gt'].min():.3f} max={s['gt'].max():.3f}") print(f" metadata keys: {sorted(s['meta'].keys())}") print(f" CFA pattern: {s['meta']['CFAPattern']} (packing: R, G1, G2, B)") print(f" stacked frames: {s['raw'].shape} float32 in [0, 1]") if __name__ == "__main__": main()