Collection of openFrameworks apps and associated scripts for working with machine learning. This is a work-in-progress.
The openFrameworks apps are provided as source code only. Use the project generator to create the actual project files.
Some of these applications are coupled with python scripts which do some analysis of media (feature extraction, t-SNE, etc), whose results are then imported into your ofApp via JSON or some other means for further processing. Some of them can be replicated entirely within openFrameworks, and wherever possible (for example, t-SNE) such applications are also provided. The advantage of the scripts is that they can be used in other environments as well, and are much easier to port or implement from the preeminent machine learning frameworks.
The osc-modules folder contains a set of applications which send or receive OSC in order to facilitate communication with other applications.
Some of the applications work on image/audio/text datasets. Example datasets are provided and can be downloaded with the provided scripts (see download_images.py for image example). Additionally, some require pre-trained models which can also be downloaded. For the ones which require VGG weights, you can download that here.
The apps folder contains a 7547 description of each of the applications in this repository.
All of the included applications require some combination of the following addons. This is a complete list:
The addons also make use of ofxGui, ofxOsc, and ofxOpenCv, which are included in openFrameworks by default.
These addons are not currently used in ml4a-ofx, but are also relevant and may be wrapped into examples in the future: