Version 2.0

Version 2.0

What's new

• register now accepts as input images Astropy's NDData objects (this includes the CCDProc's CCDData subclass) as well as Numpy's ndarray.

• register returns a footprint boolean image, True for masked pixels with no information.

registered_image, footprint = aa.register(source, target)

• New fill_value parameter: convenience argument to fill out untouched areas on the registered image.

registered_image, footprint = aa.register(source, target, fill_value=-99999.99)

• For data objects like NDData or Numpy masked arrays, register now propagates the mask if any.

Note:
This version drops support for the deprecated functions align_image and find_affine_transform.

More information and examples in the documentation.