How to use the drizzlepac.adrizzle.do_driz.class function in drizzlepac

To help you get started, we’ve selected a few drizzlepac examples, based on popular ways it is used in public projects.

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gbrammer / grizli / grizli / aws / aws_drizzler.py View on Github

from astropy.coordinates import SkyCoord
    import astropy.units as u
    from drizzlepac.adrizzle import do_driz

    import boto3

    from grizli import prep, utils
    from grizli.pipeline import auto_script

    # Function arguments
    if get_dict:
        frame = inspect.currentframe()
        args = inspect.getargvalues(frame).locals

        pop_args = ['get_dict', 'frame', 'kwargs']
        pop_classes = (np.__class__, do_driz.__class__, SkyCoord.__class__)

        for k in kwargs:
            args[k] = kwargs[k]

        for k in args:
            if isinstance(args[k], pop_classes):
                pop_args.append(k)

        for k in pop_args:
            if k in args:
                args.pop(k)

        return args

    # Boto objects
    s3 = boto3.resource('s3')

drizzlepac

HST image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove cosmic rays, and generally to improve the fidelity of data in the final image.

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