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Fix #422: Added --fold argument and 5-fold cross-validation logic #428

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Fix #422: Added --fold argument and 5-fold cross-validation logic #428

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694184c
Fix #422: Added --fold argument and 5-fold cross-validation logic
aman0311x Jul 12, 2026
248c80a
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jul 12, 2026
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2 changes: 1 addition & 1 deletion UNETR/BTCV/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -91,7 +91,7 @@
parser.add_argument("--resume_jit", action="store_true", help="resume training from pretrained torchscript checkpoint")
parser.add_argument("--smooth_dr", default=1e-6, type=float, help="constant added to dice denominator to avoid nan")
parser.add_argument("--smooth_nr", default=0.0, type=float, help="constant added to dice numerator to avoid zero")

parser.add_argument("--fold", default=0, type=int, help="fold number for 5-fold cross-validation (0-4)")
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def main():
args = parser.parse_args()
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16 changes: 12 additions & 4 deletions UNETR/BTCV/utils/data_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -131,12 +131,20 @@ def get_loader(args):
)
loader = test_loader
else:
datalist = load_decathlon_datalist(datalist_json, True, "training", base_dir=data_dir)
full_datalist = load_decathlon_datalist(datalist_json, True, "training", base_dir=data_dir)
folds = data.partition_dataset(data=full_datalist, num_partitions=5, shuffle=True, seed=42)
val_files = folds[args.fold]

train_files = []
for i in range(5):
if i != args.fold:
train_files.extend(folds[i])

if args.use_normal_dataset:
train_ds = data.Dataset(data=datalist, transform=train_transform)
train_ds = data.Dataset(data=train_files, transform=train_transform)
else:
train_ds = data.CacheDataset(
data=datalist, transform=train_transform, cache_num=24, cache_rate=1.0, num_workers=args.workers
data=train_files, transform=train_transform, cache_num=24, cache_rate=1.0, num_workers=args.workers
)
train_sampler = Sampler(train_ds) if args.distributed else None
train_loader = data.DataLoader(
Expand All @@ -148,7 +156,7 @@ def get_loader(args):
pin_memory=True,
persistent_workers=True,
)
val_files = load_decathlon_datalist(datalist_json, True, "validation", base_dir=data_dir)

val_ds = data.Dataset(data=val_files, transform=val_transform)
val_sampler = Sampler(val_ds, shuffle=False) if args.distributed else None
val_loader = data.DataLoader(
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