A Computer Vision Project for the course of EBC6300 Affective and Persuasive Computing (Winter 2019).
What is affective computing?
Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. https://en.wikipedia.org/wiki/Affective_computing
For this project, the goal is to develop a binary image classifier using only 400 images (200 smiling and 200 neutral images). Here is a quick look at six images:
Part of the requirements for this project was to use 10-fold cross-valdiation.
Create a new conda environment smile
:
conda env create -f environment.yml
To update the environment (after modifying environment.yml
):
conda env update -f environment.yml
Project based on the cookiecutter data science project template. #cookiecutterdatascience