siibra.volumes.providers.neuroglancer
Module Contents
Classes
A surface mesh provided as neuroglancer precomputed mesh. |
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Helper class that provides a standard way to create an ABC using |
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One scale of a NeuroglancerVolume. |
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Only shadows NeuroglancerMesh for the special surface srctype, |
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- class siibra.volumes.providers.neuroglancer.NeuroglancerMesh(resource: str | dict, volume=None)
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A surface mesh provided as neuroglancer precomputed mesh.
- fetch(label: int, fragment: str)
Fetches a particular mesh. Each mesh is a dictionary with keys:
- Parameters:
label (int) – Label of the volume
fragment (str, default: None) –
A fragment name can be specified to choose from multiple fragments.
Note
If not specified, multiple fragments will be merged into one mesh. In such a case, the verts and faces arrays of different fragments are appended to one another.
- Returns:
‘verts’: An Nx3 array of vertex coordinates (in nanometer)
’faces’: an MX3 array containing connection data of vertices
’name’: Name of the of the mesh variant
- Return type:
- abstract get_boundingbox(clip=False, background=0.0, **fetch_kwargs) siibra.locations.boundingbox.BoundingBox
Bounding box calculation is not yet implemented for meshes.
- class siibra.volumes.providers.neuroglancer.NeuroglancerProvider(url: str | Dict[str, str])
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Helper class that provides a standard way to create an ABC using inheritance.
- fetch(fragment: str = None, resolution_mm: float = None, voi: siibra.locations.boundingbox.BoundingBox = None, **kwargs) nibabel.Nifti1Image
Fetch 3D image data from neuroglancer volume.
- Parameters:
fragment (str, optional) – The name of a fragment volume to fetch, if any. For example, some volumes are split into left and right hemisphere fragments. See
fragments()
resolution_mm (float, default: None (i.e, lowest)) – Desired resolution in millimeters. .. tip:: Set to -1 to get the highest resolution. (might need to set max_bytes)
voi (BoundingBox) – optional specification of a volume of interest to fetch.
max_bytes (float: Default: NeuroglancerVolume.MAX_BYTES) – Maximum allowable size (in bytes) for downloading the image. siibra will attempt to find the highest resolution image with a size less than this value.
- get_boundingbox(clip=False, background=0, **fetch_kwargs) siibra.locations.boundingbox.BoundingBox
Return the bounding box in physical coordinates of the union of fragments in this neuroglancer volume.
- class siibra.volumes.providers.neuroglancer.NeuroglancerScale(volume: NeuroglancerProvider, scaleinfo: dict)
One scale of a NeuroglancerVolume.
- property affine
- property res_mm
- color_warning_issued = False
- __lt__(other)
Sort scales by resolution.
- __repr__()
Return repr(self).
- __str__()
Return str(self).
- fetch(voi: siibra.locations.boundingbox.BoundingBox = None, **kwargs)
- next()
Returns the next scale in this volume, of None if this is the last.
- prev()
Returns the previous scale in this volume, or None if this is the first.
- resolves(resolution_mm)
Test wether the resolution of this scale is sufficient to provide the given resolution.
- class siibra.volumes.providers.neuroglancer.NeuroglancerSurfaceMesh(spec: str, **kwargs)
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Only shadows NeuroglancerMesh for the special surface srctype, which provides a mesh urls plus a mesh index for identifying the surface. Behaves like NeuroglancerMesh otherwise.
TODO this class might be replaced by implementing a default label index for the parent class.
- property fragments
Returns the set of fragment names available for the mesh with the given index.
- fetch(**kwargs)
Fetches a particular mesh. Each mesh is a dictionary with keys:
- Parameters:
label (int) – Label of the volume
fragment (str, default: None) –
A fragment name can be specified to choose from multiple fragments.
Note
If not specified, multiple fragments will be merged into one mesh. In such a case, the verts and faces arrays of different fragments are appended to one another.
- Returns:
‘verts’: An Nx3 array of vertex coordinates (in nanometer)
’faces’: an MX3 array containing connection data of vertices
’name’: Name of the of the mesh variant
- Return type:
- class siibra.volumes.providers.neuroglancer.NeuroglancerVolume(url: str)
- property affine
- property dtype
- property io
- property map_type
- property scales
- property shape
- property transform_nm
- MAX_BYTES
- USE_CACHE = False
- fetch(resolution_mm: float = None, voi: siibra.locations.boundingbox.BoundingBox = None, max_bytes: float = MAX_BYTES, **kwargs)
- get_shape(resolution_mm=None, max_bytes: float = MAX_BYTES)
- is_float()