Specific instructions for running each application are included in a README inside each app folder. A description of each application follows:
View a collection of audio samples organized via t-SNE on extracted audio features. Works both on a collection (folder) of individual files, or a single audio file which can is segmented by onsets or beats.
View a collection of audio samples organized via t-SNE on extracted audio features. Works both on a collection (folder) of individual files, or a single audio file which can is segmented by onsets or beats.
(to-do) The same as tSNE-images, but uses ofxCcv and ofxTSNE to do the analysis entirely within openFrameworks.
Send the fc7 activations of a trained convnet over OSC.
View the activations of a trained convnet. In the future, this may be merged with ConvnetOSC as a single application which enables viewing, encoding, sending OSC, and importing image sets.
Search for most similar images in an image collection, given a query image. Analyze it first, then save the results for real-time browsing.
Use the fc7 activations of a trained convnet to make your own classifier using ofxGrt.
Train a model and do real time classification with ofxGrt and ofxFaceTracker2.
Perform facial gestures over time and classify them using Dynamic Time Warping with ofxGrt and ofxFaceTracker2.
Train a model and do real time regression with ofxGrt and ofxFaceTracker2.
###SimpleRegression
Boiled down example showing how to train a model and do real time regression with ofxGrt with mouse position as the input.