NOTE ON UPDATES: we are working on improvements and extensions to this weekend hackathon project in a private repository for now. This code will likely be open-sourced at a later date. Planned features include data stucture/format conversions, facies boundary modeling, visualization utilities, and GPU acceleration of raw point cloud processing.

Outcrops, Gee Whiz!

3D digital outcrop models are cool. Gee Whiz is it fun to spin them around! Now let's do something interesting with them.

Dependencies

Base:

• numpy
• matplotlib
• sklearn

To do shapefile line projections:

• pyproj

To use mesh data instead of [XYZ,RGBA] point cloud:

• PyMesh (Fair Warning: install requires building a lot of C++ dependencies.)

Organization

data/: Input data, and slice frames directory (the latter not uploaded).

media/: Presentation slides, figures, movies, and simple ffmpeg movie generation script.

notebooks/: Jupyter notebooks. See README inside for more info.

models/: pickled sklearn.ensemble.AdaBoost model for (HSV color) --> (sand/shale/heterolithic) classification

mesh_process.py: Data loading + point cloud slicing + some convenience functions. Should add some things, rename, and have PyMesh functionality in a seperate module.