Struggling to get started with machine learning using Python? In this step-by-step, hands-on tutorial you will learn how to perform machine learning using Python on numerical data and image data. By the time you are finished reading this post, you will be able to get your start in machine learning. To launch your machine learning […]
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In today’s tutorial, we are going to discuss the Keras Conv2D class, including the most important parameters you need to tune when training your own Convolutional Neural Networks (CNNs). From there we are going to use the Keras Conv2D class to implement a simple CNN. We’ll then train and evaluate this CNN on the CALTECH-101 […]
This tutorial will teach you how to perform object tracking using dlib and Python. After reading today’s blog post you will be able to track objects in real-time video with dlib. A couple months ago we discussed centroid tracking, a simple, yet effective method to (1) assign unique IDs to each object in an image […]
In this tutorial, you will learn how to use OpenCV to perform face recognition. To build our face recognition system, we’ll first perform face detection, extract face embeddings from each face using deep learning, train a face recognition model on the embeddings, and then finally recognize faces in both images and video streams with OpenCV. […]
In last week’s blog post, you learned how to train a Convolutional Neural Network (CNN) with Keras. Today, we’re going to take this trained Keras model and deploy it to an iPhone and iOS app using what Apple has dubbed “CoreML”, an easy-to-use machine learning framework for Apple applications: To recap, thus far in this three-part series, […]
A few weeks ago I demonstrated how to perform real-time object detection using deep learning and OpenCV on a standard laptop/desktop. After the post was published I received a number of emails from PyImageSearch readers who were curious if the Raspberry Pi could also be used for real-time object detection. The short answer is “kind […]
In today’s blog post, I interview Davis King, the creator and chief maintainer of dlib — a toolkit for real-world machine learning, computer vision, and data analysis in C++ (with Python bindings included, when appropriate). I’ve personally used dlib in a number of projects (especially for object detection), so it’s quite the honor to be interviewing […]