fepegar / torchio

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transforms/augmentation/intensity/random_labels_to_image.py transforms/augmentation/intensity/random_motion.py transforms/augmentation/intensity/random_ghosting.py transforms/augmentation/intensity/random_swap.py transforms/augmentation/intensity/random_bias_field.py transforms/augmentation/intensity/random_spike.py transforms/augmentation/intensity/random_gamma.py transforms/augmentation/intensity/random_blur.py transforms/augmentation/intensity/random_noise.py transforms/augmentation/intensity/__init__.py transforms/augmentation/spatial/random_affine.py transforms/augmentation/spatial/random_elastic_deformation.py transforms/augmentation/spatial/random_flip.py transforms/augmentation/spatial/random_anisotropy.py transforms/augmentation/spatial/__init__.py transforms/augmentation/composition.py transforms/augmentation/random_transform.py transforms/augmentation/__init__.py transforms/preprocessing/spatial/resample.py transforms/preprocessing/spatial/crop_or_pad.py transforms/preprocessing/spatial/pad.py transforms/preprocessing/spatial/resize.py transforms/preprocessing/spatial/crop.py transforms/preprocessing/spatial/ensure_shape_multiple.py transforms/preprocessing/spatial/to_canonical.py transforms/preprocessing/spatial/copy_affine.py transforms/preprocessing/spatial/bounds_transform.py transforms/preprocessing/intensity/histogram_standardization.py transforms/preprocessing/intensity/rescale.py transforms/preprocessing/intensity/mask.py transforms/preprocessing/intensity/z_normalization.py transforms/preprocessing/intensity/clamp.py transforms/preprocessing/intensity/normalization_transform.py transforms/preprocessing/intensity/__init__.py transforms/preprocessing/label/remap_labels.py transforms/preprocessing/label/one_hot.py transforms/preprocessing/label/keep_largest_component.py transforms/preprocessing/label/sequential_labels.py transforms/preprocessing/label/contour.py transforms/preprocessing/label/remove_labels.py transforms/preprocessing/label/label_transform.py transforms/preprocessing/__init__.py transforms/transform.py transforms/data_parser.py transforms/__init__.py transforms/lambda_transform.py transforms/interpolation.py transforms/intensity_transform.py transforms/fourier.py transforms/spatial_transform.py data/image.py data/sampler/weighted.py data/sampler/grid.py data/sampler/label.py data/sampler/sampler.py data/sampler/uniform.py data/sampler/__init__.py data/io.py data/subject.py data/queue.py data/inference/aggregator.py data/inference/__init__.py data/dataset.py data/__init__.py utils.py visualization.py cli/apply_transform.py cli/print_info.py typing.py constants.py __init__.py reference.py

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@@ -310,7 +310,7 @@
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        except RuntimeError as e:
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            message = (
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                'As described above, some images in the subject are not in the'
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                ' same space. You probably can use the tranforms ToCanonical'
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                ' same space. You probably can use the transforms ToCanonical'
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                ' and Resample to fix this, as explained at'
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                ' https://github.com/fepegar/torchio/issues/647#issuecomment-913025695'
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            )

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Files Coverage
torchio 95.51%
Project Totals (72 files) 95.51%
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