nabu.stitching.alignment module

class nabu.stitching.alignment.AlignmentAxis2(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]

Bases: Enum

CENTER = 'center'
LEFT = 'left'
RIGTH = 'right'
class nabu.stitching.alignment.AlignmentAxis1(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]

Bases: Enum

FRONT = 'front'
CENTER = 'center'
BACK = 'back'
nabu.stitching.alignment.align_horizontally(data: ndarray, alignment: AlignmentAxis2, new_width: int, pad_mode='constant')[source]

Align data horizontally to make sure new data width will ne new_width.

Parameters:

  • data (numpy.ndarray) – data to align

  • alignment (HAlignment) – alignment strategy

  • new_width (int) – output data width

class nabu.stitching.alignment.PaddedRawData(data: ndarray | Dataset, axis_1_pad_width: tuple)[source]

Bases: object

Util class to extend a data when necessary Must to aplpy to a volume and to an hdf5dataset - array The idea behind is to avoid loading all the data in memory

static get_empty_frame(shape, dtype)[source]
property empty_frame
property shape
property raw_data
property raw_data_start
property raw_data_end
property dtype