In a previous session, we showed you how to train a CNN (Convolutional Neural Network) using TensorFlow to detect human emotions from facial expressions with great accuracy. In this workshop, we’ll take our deep learning model live by integrating it with OpenCV to process real-time video. We’ll capture expressions directly from the webcam and run them through our CNN to get a reading on mood and emotion instantly.
Detect Emotions in Real-Time with OpenCV
In a previous session, we showed you how to train a CNN (Convolutional Neural Network) using TensorFlow to detect human emotions from facial expressions with great accuracy. In this workshop, we’ll take our deep learning model live by integrating it with OpenCV to process real-time video. We’ll capture expressions directly from the webcam and run them through our CNN to get a reading on mood and emotion instantly.
Prerequisites:
—Python
—Visual Studio Code