Marching Cubes and Python NumPy: Introduction to Marching Cubes (with Blender!) скачать в хорошем качестве

Marching Cubes and Python NumPy: Introduction to Marching Cubes (with Blender!)

A detailed look at the basic marching cubes algorithm for isosurface generation from volume data with a complete coding walk-through and tutorial. Clear and comprehensive presentation with supporting animations. Presentation of the results in Blender. For the complete package and documentation, see: https://github.com/alistairboyer/Marc... https://marchingnumpy.readthedocs.io/... Video Content 0:00 Introduction to volume data 1:10 Exploring and Visualising example volume data 3:40 Marching cubes and isosurfaces 4:11 Loading the test volume 4:59 Defining the marching function 6:36 Comparing the volume to the level 7:24 Enumeration setup 8:36 Save vertexes at crossing points with linear interpolation 10:58 Calculating unique vertex ids for each vertex 14:27 Calculating volume type 17:24 Explaining how volume type relates to isosurface geometry 19:09 Opening the look up table and defining edge ids 21:45 Doing the geometry lookup 26:15 Converting vertex ids 27:53 Comparing results with sci-kit image 30:44 Fixing the error when the isosurface is bigger than the volume 32:54 Exporting the data 35:00 Visualising the data in Blender 41:27 Limitations and other approaches 42:20 Summary Setup: Ubuntu 22.04.2 LTS Visual Studio Code 1.78.2 Python 3.10.8 NumPy 1.23.5 Blender 3.5.1 Part 2 will move all of the calculations to NumPy methods resulting in significant speed-up of code execution. It will be a detailed look into advanced NumPy slicing and indexing. MarchingNumPy@boyer-research.com