A C++ openFrameworks wrapper for Google’s graph based machine intelligence / deep learning library TensorFlow. Includes many examples for training (in python) and then loading pretrained models in C++ for running inference (or generation) on images (e.g. pix2pix, style transfer, classification) and sequences with RNNs/LSTMs (e.g. text, handwriting).
https://github.com/memo/ofxMSATensorFlow
Examples
Realtime pix2pix
Realtime pix2pix on webcam
Handwriting generation with LSTM/RNNs
Text generation with LSTM/RNN
Image classification
Acknowledgements
Created during my PhD at Goldsmiths, funded by the EPSRC UK.