Demitasse is the fast Deep Neural Network Library for mobile devices(non GPGPU). You can check the detail of Demitasse from this white paper.

• for macOS
• for Linux(ubuntu)
• for macOS(日本語)

• for macOS
• for Linux

It is very boring to make DNN's model data yourself. Demitasse supports to import pre-trained model data from Caffe Model Zoo. At this moment, we tested VGG-16 and VGG-CNN-F pre-trained model data for Demitasse. Demitasse import tool places at ./tools/. You have to build Demitasse binaries in order to convert pre-trained datas from the other libraries' models into Demitasse's one. How to use the tools is here.

Please cite Caffe in your publications if it helps your research:

@inproceedings{kondo2016,
author = {Satoshi Kondo},
booktitle = {ML Systems Workshop NIPS 2016},
title = {{Demitasse: SPMD Programing Implementation of Deep Neural Network Library for Mobile Devices}},
year = {2016}
}

• This software is released under the License, see LICENSE.txt.
• The sample query image is created from a public domain content.