Identifying Facial Expressions using Machine Learning

Instructions

Using Docker

1. make build: Ensure that you have the right docker image.

2. make: Run the container.

3. q: Quit the program.

Using Python and dependencies

1. Make sure all dependencies are installed (listed in ./res/docker/requirements.txt).

2. python ./src/run.py

Dataset

Challenges in Representation Learning: Facial Expression Recognition Challenge

Emotion	Code
Angry	0
Disgust	1
Fear	2
Happy	3
Sad	4
Surprise	5
Neutral	6

This dataset consists 48x48 pixel grayscale images of faces.

train.csv contains two columns, "emotion" and "pixels". The "emotion" column contains a numeric code ranging from 0 to 6, inclusive, for the emotion that is present in the image.

Total samples: 32,298

• Training: 28,709 samples.
• Testing: 3,589

Credit and Resources

• Face Recognition with Python, in Under 25 Lines of Code

• Face Detection in Python Using a Webcam

• Face Detection using Haar Cascades

• Emotion GitHub repository by petercunha

• Face classification GitHub repository by oarriaga