Project Cena

Setup

• Install OpenCV

  • Full instructions here
  • Basically:
    • brew tap homebrew/science
    • brew install opencv3 --with-contrib --with-python3 --HEAD

• pip install -r requirements.txt

• need to install dlib

• need to install openface

  • git clone https://github.com/cmusatyalab/openface.git
  • cd openface
  • python setup.py install

• ./create_symlinks.sh to symlink data from dropbox to local

• install torch http://torch.ch/docs/getting-started.html

  • add torch to your path
  • luarocks install csvigo
  • luarocks install dpnn

• download openface model nn4.small2.v1 here: http://cmusatyalab.github.io/openface/models-and-accuracies/

• brew install findutils

• brew install coreutils

• generate data

  • https://gist.github.com/ageitgey/ddbae3b209b6344a458fa41a3cf75719
  • cd into openface then ./batch-represent/main.lua -outDir ../../datascope/cena/data/generated-embeddings/ -data ../../datascope/cena/data/training-images/

• install dlib on the rpi

  • http://www.pyimagesearch.com/2017/05/01/install-dlib-raspberry-pi/