I had to use recovery mode to install macOS on a 5 year old MacBook Air. This included an upgrade to Sonoma (14.2.1).
Then I used the terminal to build and test a series of familiar libraries and software tools from the unix command line
This repository is a snap-shot (aka "note-to-future-self") on the specifics of these examples. Likewise this code might be helpful for others experimenting with these libraries and tools.
| Example | Description | Result |
|---|---|---|
| mc_01_hello_world | An obligatory ᚺƏᒹᒹ◉ ש◉ℜᒹ₫ using g++ (clang 15.0.0) and make (3.81). |  |
| mc_02_opencv | Distance transform of a Fibonacci fractal using OpenCV (4.8.0) and CMake (3.28.0). |  |
| mc_03_eigen | Apply 2D rotation to Rose sinusoid XY data using Eigen (3.4.0). |  |
| mc_04_libigl | Blue noise sample a mesh surface using libigl (2.5.0). |  |
| mc_05_libsvm | Train a support vector machine as an orange color classifier using libsvm (3.32). |  |
| mc_06_bvh_v1 | Implement a single view virtual 3D scanner using BVH (v1) and happly (v2). |  |
| mc_07_pip3 | Generate simplex noise using the opensimplex (0.4.5) Python package installed with Pip3 (21.2.4). |  |
| mc_08_virtualenv | Draw random lobster graphs with virtualenv (20.25.0) and networkx (3.2.1). |  |
| mc_09_brew | Use brew (4.1.24) to install wget (1.21.4) and download an iceberg image. |  |
| mc_10_boost | Create phase of moon toned calendar using Boost (1.83.0) and MoonPhase. |  |
| mc_11_armadillo | Fit a sphere to 3D points using Armadillo (12.6.6) and a variant of the Thiel-Sen estimator. |  |
| mc_12_ceres | Fit a non-linear model to measured display luminances using the Ceres Solver (2.2.0_1). |  |
| mc 13 ffmpeg | Create boomerang gifs using FFmpeg (6.0). |  |
| mc 14 mlpack | The mlpack (4.3.0) library is used to autoencode the spectra of a Munsell Book of Color. |  |
| mc 15 ensmallen | Align two 2D contours using ensmallen's (2.21.0) particle swarm optimization. |  |
| mc 16 cgal | Compute 3D convex hull of mesh vertices using CGAL (5.6). |  |
| mc 17 ranger | Train another orange classifer using Ranger's (0.16.0) random forests. |  |
| mc 18 tesseract | Apply optical character recognition to an input image using Tesseract (5.3.3). |  |
| mc 19 pytorch midas | Derive depth estimates for an input image using the pre-trained MiDaS (DPT large) PyTorch (1.11.0) model. |  |
| mc 20 matplotlib | Contour plot simplex noise using matplotlib (3.8.2) and automatically create a PNG from input TSV. |  |
| mc 21 stable diffusion cpp | Use stable-diffusion.cpp with version 1.4 of the weights and integrate with depth estimation and FFmpge. |  |
| mc 22 pcl | Filter outliers in a point cloud with the Point Cloud Library (1.13.1). |  |
| mc 23 pcl_viewer | A PCL (1.13.1) viewer is used to visualize a color point cloud (and generate a depth gif). |  |
| mc 24 vcglib | Generate a 3D torus using VCGLib (2023.12) and save the result as a PLY file. |  |
| mc 25 vtk | VTK (9.2.6_5) render the Z-Anatomy model of the cardiovascular system. |  |
| mc 26 qt6 | Create an interactive RGB color picker using Qt (6.6.0_1). |  |