Webcam-Emotion-Detection

This is based entirely on atulapra's Emotion-detection-repo. Forked to this repo since for easier dependency management for use in FabLab projects.

Setup

Start off by cloning the repo:

git clone https://github.com/faaip/Emotion-detection
cd Emotion-detection

We need to have openCV installed, which has quite a few dependencies for the Raspberry Pi. You can install these using the supplied script:

sh install_opencv_dependencies.sh

If you later run into problems with the openCV installation, you can follow this guide instead.

Initialize the virtual environment:

virtualenv venv -p python3

Activate the virtual environment:

source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Download atulapra's pre-trained model. Using the download script:

sh download-model.sh

Run program:

python run.py

To run in full screen:

python run.py --fullscreen

There various options such as full screen, debug mode and flip the input image. To see these flags use the help-argument:

python run.py --help

atulapra's Emotion-detection-repo.
"Challenges in Representation Learning: A report on three machine learning contests." I Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, W Cukierski, Y Tang, DH Lee, Y Zhou, C Ramaiah, F Feng, R Li,
X Wang, D Athanasakis, J Shawe-Taylor, M Milakov, J Park, R Ionescu, M Popescu, C Grozea, J Bergstra, J Xie, L Romaszko, B Xu, Z Chuang, and Y. Bengio. arXiv 2013.