Deep learning is a subfield of machine learning, based on traditional neural networks and convolutional neural networks. It's state-of-the-art pattern recognition. Deep learning is reaching the best accuracy in fields such as speech recognition, text recognition, and image classification. Actually, OpenCV adds the deep learning module as a basic module in its core algorithms and is making big efforts to increase its performance using CPUs and GPUs.
In this chapter of advanced features, we are going to cover how to enable Halide, a new language that OpenCV is using to improve the performance of deep learning inferences.
Finally, we are going to explore the new possibilities of using OpenCV in a web browser as a JavaScript library, which allows us to use computer vision in a web client without installing anything on the client computer.
In this chapter...
