warp_coords(coord_map, shape, dtype=<class 'numpy.float64'>)
This is a lower-level routine that produces the source coordinates for 2-D images used by :None:None:`warp()`.
It is provided separately from warp
to give additional flexibility to users who would like, for example, to re-use a particular coordinate mapping, to use specific dtypes at various points along the the image-warping process, or to implement different post-processing logic than warp
performs after the call to :None:None:`ndi.map_coordinates`.
Return input coordinates for given output coordinates. Coordinates are in the shape (P, 2), where P is the number of coordinates and each element is a (row, col)
pair.
Shape of output image (rows, cols[, bands])
.
dtype for return value (sane choices: float32 or float64).
Coordinates for scipy.ndimage.map_coordinates
, that will yield an image of shape (orows, ocols, bands) by drawing from source points according to the :None:None:`coord_transform_fn`.
Build the source coordinates for the output of a 2-D image warp.
Produce a coordinate map that shifts an image up and to the right:
This example is valid syntax, but we were not able to check execution>>> from skimage import dataThis example is valid syntax, but we were not able to check execution
... from scipy.ndimage import map_coordinates >>>
>>> def shift_up10_left20(xy):This example is valid syntax, but we were not able to check execution
... return xy - np.array([-20, 10])[None, :] >>>
>>> image = data.astronaut().astype(np.float32)See :
... coords = warp_coords(shift_up10_left20, image.shape)
... warped_image = map_coordinates(image, coords)
The following pages refer to to this document either explicitly or contain code examples using this.
skimage.transform._warps.warp_coords
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