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from typing import List, Tuple
import h5py
import numpy as np
def loader(
hdf5_file: str, folds: List[int]
) -> Tuple[np.ndarray, np.ndarray, np.ndarray, List[str]]:
post = []
pre = []
masks = []
names = []
# Read hdf5 file and filter by fold
with h5py.File(hdf5_file, "r") as f:
for uuid, values in f.items():
if values.attrs["fold"] not in folds:
continue
if "pre_fire" not in values:
continue
post.append(values["post_fire"][...])
pre.append(values["pre_fire"][...])
masks.append(values["mask"][...])
names.append(uuid)
# Convert to numpy arrays
post = np.stack(post, axis=0, dtype=np.int32)
pre = np.stack(pre, axis=0, dtype=np.int32)
masks = np.stack(masks, axis=0, dtype=np.int32)
return post, pre, masks, names
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