I often use the bspline node as a way to resample a set of values.
When doing this the input (control) values are assumed to be equally spaced along the spline (and can then be ‘sampled’ using a normalised value into the ‘input’ pin).
How can I achieve the same effect if the control values are not meant to be equally spaced along the spline? Ie they are not equally spread along the spline?
Note that I do not actually need spline interpolation for this, though it would be useful
edit: to explain further, what I need is possible (without the spline interpolation) for a single input ‘sample’ using map (value interval advanced). The problem is I need to sample multiple input points and the number of these does not correspond to the number of control points. Don’t think I can use binsizes for this, but I may be wrong
It would be helpful if you post a patch with a generic example of what you get VS. what you need - because, as I understand your issue, it is already solved within the B-Spline (Value) helppatch.
In the helppatch, furthermore, its Input is fed with a LinearSpread and its Control is fed with random values: the opposite of the scenario you describe