Why the data shape are different through transform "spacingd.

[xxsxxsxxs666]

val_transforms = Compose(
    [
        LoadImaged(keys=["image", "label"]),
        EnsureChannelFirstd(keys=["image", "label"]),
        ScaleIntensityRanged(
            keys=["image"], a_min=-57, a_max=400,
            b_min=0.0, b_max=1.0, clip=True,
        ),
        CropForegroundd(keys=["image", "label"], source_key="image"),  # default: value>0
        Orientationd(keys=["image", "label"], axcodes="RAI"),
        Spacingd(keys=["image", "label"], pixdim=(
            0.35, 0.35, 0.5), mode=("bilinear", "nearest")),  # Now only Sequential_str, How to add spline
    ]
)

The shape and metadata are the same between image and label

this problem only happen when I use cachedataset. Nothing went wrong when I use normal dataset.

[wyli]

that looks like a bug and at the moment please consider using EnsureSameShaped as a workaround:

MONAI/monai/apps/auto3dseg/transforms.py

Lines 25 to 28 in a77de4a

	class EnsureSameShaped(MapTransform):
	"""
	Checks if segmentation label images (in keys) have the same spatial shape as the main image (in source_key),
	and raise an error if the shapes are significantly different.