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check if orig_size is list of tensors #3422

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check if orig_size is list of tensors #3422

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6 changes: 5 additions & 1 deletion monai/transforms/croppad/dictionary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@
from typing import Any, Callable, Dict, Hashable, List, Mapping, Optional, Sequence, Tuple, Union

import numpy as np
import torch

from monai.config import IndexSelection, KeysCollection
from monai.config.type_definitions import NdarrayOrTensor
Expand Down Expand Up @@ -315,7 +316,10 @@ def inverse(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Dict[Hashable, Nd
for key in self.key_iterator(d):
transform = self.get_most_recent_transform(d, key)
# Create inverse transform
orig_size = np.array(transform[TraceKeys.ORIG_SIZE])
orig_size = transform[TraceKeys.ORIG_SIZE]
if isinstance(orig_size[0], torch.Tensor):
orig_size = torch.as_tensor(orig_size)
orig_size = np.asarray(orig_size)

@Nic-Ma Nic-Ma Dec 1, 2021 •
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Hi @rijobro ,

I think maybe you can simply use the convert_data_type utility here to convert to numpy array with wrap_sequence arg?

Thanks.

current_size = np.array(d[key].shape[1:])
roi_start = np.floor((current_size - orig_size) / 2)
roi_end = orig_size + roi_start
Expand Down