Open jdmanton opened 10 years ago
There is a difference between the conversion in WeightedNNBasedLinesetMatching
and converting using e.g. dotprops(,resample=T)
. In the first case the direction vector is the vector from each point to its head point, without resampling. In the second case it is based on k nearest neighbours. It would probably be best to stick to pre-conversion to dotprops in most cases. I haven't profiled in ages, but I am not sure that the conversion part of WeightedNNBasedLinesetMatching.neuron
is that slow since there is no nearest neighbour calculation or eigenvector decomposition.
I meant the conversion I added in d55c544 to allow it to handle the situation where query
and target
are not of the same class. I tried doing this higher up, in nblast()
, but this messed a few things up — it looks like it is worth me retrying this and attempting to fix the problems.
As the conversion happens in
WeightedNNBasedLinesetMatching()
, this means that the objects are converted for every comparison, not just once at the start, making everything much slower than it needs to be.