DCCR

These pages serve as the official documentation for the DCCR (Deep Clustering Context Recognition) project.

The DCCR project is a development workspace for experiments targeting the clustering of deep features extracted from multi-object classifiers on simulated AirSim imagery. Due to the open-ended nature of the research, many tools and types of experiments are involved. As a result, please see the relevant documentation sections about the various programming languages, tools, and experiments involved throughout the repository.

This repository is developed and maintained by Sasha Petrenko <petrenkos@mst.edu> on behalf of the Missouri University of Science and Technology (MS&T) Applied Computational Intelligence Laboratory (ACIL).

Manual Outline

This documentation is split into the following sections:

• Package Guide
• Contributing
• Index
• Developer Index

The Package Guide provides a tutorial to the full usage of the package, while Examples gives sample workflows with the various experiments of the project.

The Contributing section outlines how to contribute to the project. The Index enumerates all public types, functions, and other components with docstrings, whereas internals are listed in the Developer's Index.

About These Docs

Though several different programming languages are used throughout the project, these docs are built around the Julia component of the project using the Documenter.jl package.

Documentation Build

This documentation was built using Documenter.jl with the following version and OS:

DCCR v0.1.0 docs built 2024-09-05T17:06:30.494 with Julia 1.9.4 on Linux