Image transformations
From the active environment
python setup.py install
or
pip install .
or if you want to be able to edit & develop (requires reloading the package)
pip install -e .
Shifts 10 pixels on both axes, rotates 20° around pixel (50, 50) and scale by 1.5:
from rectify import Rectifier, EuclidianTransform
import numpy as np
image = np.ones((100, 100))
transform = EuclidianTransform(10, 10, 20, 1.5, pivot=(50, 50))
rectifier = Rectifier(transform)
transformed = rectifier(image, (100, 100), (0, 100), (0, 100))
Composition of a CarringtonTransform with a EuclidianTransform, assuming header is a WCS compatible FITS header:
euclidian_transform = EuclidianTransform(0, 0, 20, 1.0, pivot=(50, 50))
carrington_transform = CarringtonTransform(header)
transform = euclidian_transform + carrington_transform
transformed = Rectifier(transform, (100, 100), (45, 90), (10, 55), order=2)
The image is remapped on a 100x100 grid between Carrington longitudes (45°, 90°) and latitudes (10°, 55°). The composition of transformations with the + operator creates a CompositeTransform object. This allows a single interpolation stage to be used for complex transforms.