Question 1

How to install TinySpline for Python?

Accepted Answer

You can install it via PyPI using 'python -m pip install tinyspline', as shown in the Installation section. This provides pre-built binaries for easy setup in Python projects.

Question 2

TinySpline vs libigl for spline calculations?

Accepted Answer

TinySpline is lighter and focuses solely on curves with multi-language support, while libigl is a larger C++ library with broader geometry processing including surfaces. Choose TinySpline for minimal dependencies or cross-language needs, and libigl for advanced 3D mesh operations.

Question 3

How to interpolate points with TinySpline in C++?

Accepted Answer

Use the BSpline::interpolate_cubic_natural method with a list of control points and dimensionality, as demonstrated in the Python example; similar APIs are available in C++ via the object-oriented wrapper.

Question 4

Does TinySpline support 3D curves?

Accepted Answer

Yes, it supports curves of any dimensionality, including 3D, through control points with specified dimensions, allowing for use in 3D graphics and CAD applications.

Question 5

How to serialize splines in TinySpline using JSON?

Accepted Answer

The library includes serialization via JSON, enabling saving and loading of spline data; refer to the Features list and documentation for specific functions like toJson and fromJson in the C++ interface.

Question 6

TinySpline performance on embedded systems?

Accepted Answer

Due to its ANSI C core and small footprint, it performs well on resource-constrained devices, but complex operations like reparametrization by arc length might be slower compared to optimized, hardware-specific libraries.

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