EPFL-Center-for-Imaging splinebox issues

EPFL-Center-for-Imaging / splinebox

A python package for fitting splines.

BSD 3-Clause "New" or "Revised" License

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issues

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Difference between `spline.fit(x)` and `spline.knots = x`

#32 faymanns opened 1 month ago
0
Distance example

#31 faymanns closed 1 month ago
1
Implement second derivative for Hermite splines

#30 faymanns closed 1 month ago
1
Save load splines

#29 faymanns closed 1 month ago
2
Numpy arrays without a shape cause an IndexError

#28 faymanns opened 1 month ago
0
Str and repr for classes

#27 faymanns closed 1 month ago
1
Make objects printable

#26 faymanns closed 1 month ago
2
Question: Vectorized implementation of spline sampling

#25 jjerphan opened 1 month ago
4
how to save/load splines?

#24 kevinyamauchi closed 1 month ago
7
Measure distances between two splines

#23 constantinpape closed 1 month ago
8
Pyvista read the docs

#22 faymanns closed 2 months ago
1
Logger

#21 faymanns opened 2 months ago
0
Protect spline attributes

#20 faymanns opened 2 months ago
0
Add some convenience function to the Spline class

#19 faymanns closed 2 months ago
1
Add scipy example to home page

#18 faymanns closed 2 months ago
1
Find long test and try to make it faster

#17 faymanns opened 5 months ago
0
Rename `x` to `t`

#16 faymanns closed 5 months ago
1
Rename `coeffs` to `control_points`

#15 faymanns closed 5 months ago
1
Should we squeeze the dimensions if eval is called with a single value?

#14 faymanns closed 5 months ago
2
Slow arc_length_to_parameter

#13 faymanns closed 5 months ago
1
Remove alpha from ExponentialHermite spline

#12 faymanns closed 5 months ago
2
How should we handle padding?

#11 faymanns closed 5 months ago
9
Is the centroid implemented correctly?

#10 faymanns closed 7 months ago
4
translate does not work for Exponential, CubicHermit, and ExponentialHermite splines

#9 faymanns closed 6 months ago
4
Defaults for arc_length function

#8 faymanns closed 7 months ago
3
memory usage

#7 edwardando closed 7 months ago
1
`SplineCurve.getCoefsFromDenseContour()` → `Spline.fit_dense_contour()` ← Do you agree??

#6 vuhlmann closed 7 months ago
2
`SplineCurve.getCoefsFromKnots()` → `Spline.fit()` ← Do you agree??

#5 vuhlmann closed 7 months ago
6
`SplineCurve.parameterToWorld()` → `Spline.eval(X, dervitave=0,1,2)` ← and this will likely accept a numpy array and thus might replace `.sample()`

#4 vuhlmann closed 8 months ago
2
H3 → CubicHermite

#3 vuhlmann closed 8 months ago
0
Name and architecture changes to handed-over version

#2 edwardando closed 7 months ago
3
Gradient for a B1 basis spline is badly behaved at the knots

#1 edwardando closed 8 months ago
1