set_contour_transform

Synopsis

Sets transform, then applies it to a contour

apply_contour_transform([id], transform)

Description

• id - an optional ChipsId structure containing values to modify the currency state for the command, or a string to specify the id of the contour to operate on.
• transform - the Transform structure containing tranform parameters that should be applied to the contour

The set_contour_transform function applies a transform to a contour. Setting the contour transform also associates the transform to the contour for subsequent transform functions to work on. This command is part of the advanced ChIPS module; refer to "ahelp chips" for information. To load the module:

from pychips.advanced import *

The input transform must be a valid Transform structure ("ahelp transform"). Passing None to instead of a transform will remove from the contour the transform currently associated with the it, causing the contour to be redisplayed without any transformations. At most one transform can be associated with a contour at a given time.

Example

chips> from pychips.all import *
chips> add_contour('image.fits')
chips> image = read_file ('image2.fits')
chips> t = get_transform (image, 'params')
chips> set_contour_transform (t)

Create a contour from one image. Load a second image into a crate. Extract the params transform from that image and apply it to the contour of the original image.

Bugs

See the bugs pages on the ChIPS website for an up-to-date listing of known bugs.

See Also

contours

add_contour, apply_contour_transform, apply_contour_transform_inverse, current_contour, delete_contour, display_contour, get_contour, get_contour_transform, hide_contour, set_contour, shuffle_contour