tomwer.core.process.drac.processeddataset.DracReconstructedVolumeDataset#
- class tomwer.core.process.drac.processeddataset.DracReconstructedVolumeDataset(tomo_obj, source_scan)#
Class to associate reconstructed volume(s) to an drac (processed) dataset
- property bliss_raw_datasets: tuple[str]#
- build_gallery()#
callback to build the drac-dataset gallery
- property dataset_name: str#
name to give to the drac (processed) dataset.
- static get_output_file_name(output_dir, axis, slice_index, volume)#
- Return type:
str
- get_slices_to_extract()#
Compute the slices to be retrieve along each dimension according to ‘n_slices_per_axis’
return tuple (A) is a two elements tuple. First element if the axis (B). Second is the tuple of indices to extract along the axis (B) indices are equally spaced in each dimensions
- static make_serializable(obj)#
Recursively convert numpy arrays to lists and replace string “None” with None in a given object.
- property metadata: dict#
- property n_slices_per_axis: int#
number of slices to sample per axis
- property source_scan: TomwerScanBase#