A lean C++ library for working with point cloud data
clustering
point-cloud
registration
pca
segmentation
convex-hull
k-means
reconstruction
mds
ransac
rgbd
3d
3d-visualization
icp
spectral-clustering
convex
mean-shift
model-fitting
iterative-closest-point
non-rigid-registration
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Updated
Jul 1, 2021 - C++
PyVistaQt has been slowly transitioning from PyQt5 to a Qt-backend agnostic interface but now the transition is over so the documentation (
usage.rstandREADME.md) needs to be updated. A contribution to make clear that there is no default Qt backend is welcome.Suggestion
Context
Discussion about allowing different Qt bindings started sligh