golamSaroar / facial-expression-detection

A sentiment analysis tool to detect the six basic expressions: happiness, sadness, anger, surprise, fear, and disgust from images and videos.

Facial Expression Recognition App

This is a sentiment analysis tool to detect the six basic expressions: happiness, sadness, anger, surprise, fear, and disgust. Such an application can be used in Market Research, for example, to observe user's reaction while interacting with a brand or a product.

There are many ways a user can use this app for emotion recognition:

• Preloaded Images and Videos: User can select an image or a video from a number of choices in a dropdown. These are NOT already annotated, but will only be annotated after a user selects them.
• Upload Image: User can also upload their image and it will be annotated with the facial expression in less than a second.
• Enter YouTube URL: A user can also enter a YouTube URL, and each frame that contains one or more humans will be annotated. The URL has to be a valid YouTube URL.

Future Scope:

Webcam feed will be added to the mix. Also, there's room for improvement on the model itself.

How do I get set up?

Easiest Way -> Docker

From the project root, run:
sudo bash start.sh

The app should be running at http://127.0.0.1:5000

Run without Docker

Create a virualenv:
conda create -n myenv python=3.6

Activate:
conda activate myenv

Install Requirements:
pip install -r requirements.txt

Run:
python main.py