Octree structure containing 3D triangular mesh model
Project description
Octree structure containing a 3D triangular mesh model. To be used for ray tracing / shadow casting.
Written in C++ for speed, but exposed to Python using Cython.
Details
Pyoctree uses an adaptive structure, so it will automatically divide branches to ensure that there are no more than 200 objects per leaf.
Intersection testing uses parallel processing via OpenMP. To use more than a single processor, set value of environment variable OMP_NUM_THREADS to number of desired processors.
Requirements
vtk >= v6.2.0 (optional, for outputting a vtk file for viewing octree structure in Paraview)
Cython >= v0.20 and a C++ compiler for building the extension module. The Microsoft C++ Compiler for Python 2.7 or Mingw32 can both be used.
Building from source
In a command prompt, browse to the base directory containing the setup.py file and type:
python setup.py installUsage
1. Creating the octree representation of a 3D triangular mesh model
from pyoctree import pyoctree as ot
tree = ot.PyOctree(pointCoords,connectivity)where:
pointCoords is a Nx3 numpy array of floats (dtype=float) representing the 3D coordinates of the mesh points
connectivity is a Nx3 numpy array of integers (dtype=np.int32) representing the point connectivity of each tri element in the mesh
2. Finding intersection between mesh object and ray
The octree can be used to quickly find intersections between the object and a ray. For example:
import numpy as np
startPoint = [0.0,0.0,0.0]
endPoint = [0.0,0.0,1.0]
rayList = np.array([[startPoint,endPoint]],dtype=np.float32)
intersectionFound = tree.rayIntersection(rayList)Examples
Some IPython notebooks are provided in the Examples directory on how to use pyoctree.
Help
If help is required, please create an issue on Github.
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Source Distribution
Built Distribution
Hashes for pyoctree-0.1.2-cp27-cp27m-win_amd64.whl
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