curvey.blend¤
blend
¤
Curve blending and shape interpolation
CurvatureShapeBlending
¤
Curvature-based shape blending
Based on
Parameters:
Name | Type | Description | Default |
---|---|---|---|
processed0 |
Processed
|
|
required |
processed1 |
Processed
|
The processed pair storing the original curves and processed curves. Curvature flow interpolation requires the processed curves to have
|
required |
initial |
Curve
|
The initial curve to start targeted curvature flow from. If not supplied this
defaults to |
required |
flow |
WillmoreFlow | None
|
The |
None
|
Examples:
import numpy as np
from curvey import Curve
from curvey.blend import CurvatureShapeBlending
n = 128
src = Curve.circle(n=n)
tgt = Curve.star(6, r0=1, r1=2).interpolate_n(n).scale(1.5)
csb = CurvatureShapeBlending.preprocess(src, tgt)
t_interp = np.linspace(0, 1, 5)
curves = csb.interpolate(t=t_interp, stop_tol=1e-3, interp_size='area')
curves.subplots()
Source code in src\curvey\blend.py
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|
original: tuple[Curve, Curve]
property
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The pair of original Curve
s
processed: tuple[Curve, Curve]
property
¤
The pair of processed Curve
s
interpolate(t: ndarray, path_dependent: bool = False, realign: bool = True, interp_size: Literal['length', 'area'] | None = 'length', interp_pos: Literal['center', 'centroid'] | None = 'center', reregister: bool = False, exact_endpoints: tuple[bool, bool] = (False, False), post_process: Callable[[Curve], Curve] | None = None, history: bool = False, **kwargs) -> Curves
¤
Interpolate shape at the supplied time-points
Parameters:
Name | Type | Description | Default |
---|---|---|---|
t |
ndarray
|
Vector of interpolation parameter values in [0, 1] |
required |
path_dependent |
bool
|
If True, the resulting interpolated curve from each timepoint is used as the starting
point for the next interpolation. Otherwise, each timepoint's flow is independently
started from the |
False
|
realign |
bool
|
If True, the curve after each interpolation step is aligned to the preceeding step. This can account for changes in position and orientation. Realignment is performed before transforming by the interpolated size or position. |
True
|
interp_size |
Literal['length', 'area'] | None
|
If not None, scale each interpolated curve to the area or length obtained by
interpolating the |
'length'
|
interp_pos |
Literal['center', 'centroid'] | None
|
If not None, translate the interpolated curves' center or centroid to the position
interpolated between the |
'center'
|
reregister |
bool
|
If True, perform a final post-processing step as follows: register the final
interpolated curve against the original curve using the |
False
|
exact_endpoints |
tuple[bool, bool]
|
By default, the curves at t=0 and t=1 are found by the same targeted curvature flow
as for the interior time points. This skips that step and simply uses
|
(False, False)
|
history |
bool
|
If true, the history of each interpolating flow is stored in |
False
|
post_process |
Callable[[Curve], Curve] | None
|
An option function |
None
|
**kwargs |
Additional kwargs passed to |
{}
|
Returns:
Type | Description |
---|---|
Curves
|
A |
Source code in src\curvey\blend.py
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preprocess(c0: Curve, c1: Curve, flow: WillmoreFlow | None = None, circle_stop_tol=0.001) -> CurvatureShapeBlending
staticmethod
¤
Preprocess a pair of curves for curvature shape blending
Scales both curves to a common length and optimizes their edge length distributions.
Also flows the first curve to a circle for use as the initial
curve for flow-based
interpolation.
Source code in src\curvey\blend.py
LinearBlending
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Linear vertex position interpolation
Source and target curves must have the same number of vertices.
Source code in src\curvey\blend.py
interpolate(t: ndarray) -> Curves
¤
Interpolate curves at the requested times
Parameters:
Name | Type | Description | Default |
---|---|---|---|
t |
ndarray
|
Vector of length |
required |
Returns:
Type | Description |
---|---|
curves
|
A |
Source code in src\curvey\blend.py
Processed
dataclass
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Convenience class to store a curve in both its original and processed version