TIPA Opensource Project

Before starting…

Created: August 2019 (very initial stage) 
Author(s): Dr. Youngjun Cho (Assistant Professor, Department of Computer Science, University College London, UCL) 

This project is to support the ACII 2019‘s tutorial on Thermal Imaging-based Physiological and Affective computing

  • Tutorial Part I [pdf]
  • Tutorial Part II and III [pdf]

Full source code: https://github.com/deepneuroscience/TIPA 
Language and Working Environment: Python and Jupyter Notebook (Anaconda distribution)

  1. Download Anaconda (latest version) – Python 3.7 (recommended) https://www.anaconda.com/distribution/
  2. Install basic libraries on the Conda console
    • conda install -c conda-forge opencv
    • conda install scikit-learn
    • pip install –upgrade numpy
    • pip install –upgrade matplotlib
    • conda install -c anaconda scipy
  3. Run “TIPA_basic_run.ipynb” on the Jupyter notebook

Example dataset: Link

Open the TIPA project