deepmr.patches2tensor#
- deepmr.patches2tensor(patches, shape, patch_shape, patch_stride=None)[source]#
Accumulate patches into a tensor.
Adapted from [1] using [2].
- Parameters:
patches (torch.Tensor) –
Tensor of (overlapping) patches of shapes:
1D: (..., npatches_z, patch_size_x)
2D: (..., npatches_z, npatches_y, patch_size_y, patch_size_x)
3D: (..., npatches_z, npatches_y, npatches_x, patch_size_z, patch_size_y, patch_size_x)
shape (Iterable[int]) – Output shape of length
ndim
. If scalar, assume isotropic matrix of shapendim * [shape]
.patch_shape (Iterable[int]) – Shape of the patch of length
ndim
.patch_stride (Iterable[int], optional) – Stride of the windows of length
ndim
. The default it is the patch size (i.e., non overlapping).
- Returns:
image – N-dimensional image tensor, with the last
ndim
dimensions being the image dimensions.- Return type:
References