Description

Smile Recognition Using OpenCV and Python

In this project,First, we will use an existing dataset, called the “Oliivetti faces dataset” and classify the 400 faces seen there in one of two categories: smiling or not smiling. Then, we train a Support Vector Classifier on this dataset to predict if a face depicts a smiling person or not. We do this by using the awesome sklearn machine learning library for Python. Finally, we integrate this classifier into a live loop using OpenCV to capture a frame from our webcam, extract a face and annotate the image with the result of the machine learning prediction.