neu_vol.ops.create¶
Create an empty multiscale volume, from explicit specs or a reference.
For several small pieces that belong at known positions in one frame: create the frame
first, then write each piece into it (neu_vol.ops.write). No chunk is written, so
an empty pyramid is a few JSON documents.
like copies a reference volume’s geometry (level shapes, per-level voxel sizes and
chunking, dtype, origin, axes), so a voxel index means the same in both; explicit
arguments override it. The reference’s level shapes are mirrored verbatim unless
shape or factors is overridden: shapes are ceil-divided, so a recomputed schedule
can land a voxel off.
Either format, zarr v3 (+ OME-NGFF metadata) or precomputed, chosen by the storage profile
as in convert; with no profile, the reference’s own.
Attributes¶
Functions¶
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Create an empty multiscale volume at |
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Resolve the geometry of the volume |
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The storage profile implied by a target format, a reference, and a destination. |
Module Contents¶
- neu_vol.ops.create.create_volume(dst: str, *, overwrite: bool = False, validate: bool = True, **kw: Any) dict¶
Create an empty multiscale volume at
dst. Seeplan_volume().Every level is created and none holds data.
- neu_vol.ops.create.plan_volume(dst: str, *, like: str | None = None, shape: Sequence[int] | None = None, dtype: str | None = None, voxel_size: Sequence[float] | None = None, offset: Sequence[float] | None = None, units: str | None = None, axes: Sequence[str] | None = None, has_channels: bool | None = None, format: str | None = None, profile: str | neu_vol.profiles.StorageProfile | None = None, chunk: Sequence[int] | None = None, shard: Sequence[int] | None = None, levels: int | None = None, factors: Sequence[Sequence[int]] | None = None, max_levels: int | None = None, min_dim: int = 128, kind: str | None = None, name: str = 'image', encoding: str | None = None, compressed_segmentation_block_size: Sequence[int] = (8, 8, 8)) dict¶
Resolve the geometry of the volume
create_volumewould build. Writes nothing.What
--dry-runreports.formatis"zarr"or"precomputed", defaulting to the reference’s own (seeprofile_for());profileoverrides it with a named storage profile and its chunk/compressor defaults.encodingandcompressed_segmentation_block_sizeapply to precomputed only.
- neu_vol.ops.create.profile_for(format: str | None, ref: dict | None, dst: str) str¶
The storage profile implied by a target format, a reference, and a destination.
With no format given it follows the reference’s own format; with neither, zarr v3. A reference in a format this cannot write (an HDF5 file, an image stack) falls back to zarr; only an explicit unwritable
formatis an error. Shared with the CLI.
- neu_vol.ops.create.DEFAULT_MAX_LEVELS = 8¶
- neu_vol.ops.create.logger¶