Tag Archives | optimization

Optimizing dlib shape predictor accuracy with find_min_global

In this tutorial you will learn how to use dlib’s find_min_global function to optimize the options and hyperparameters to dlib’s shape predictor, yielding a more accurate model. A few weeks ago I published a two-part series on using dlib to train custom shape predictors: Part one: Training a custom dlib shape predictor Part two: Tuning […]

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Raspberry Pi: Deep learning object detection with OpenCV

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 […]

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macOS for deep learning with Python, TensorFlow, and Keras

In today’s tutorial, I’ll demonstrate how you can configure your macOS system for deep learning using Python, TensorFlow, and Keras. This tutorial is the final part of a series on configuring your development environment for deep learning. I created these tutorials to accompany my new book, Deep Learning for Computer Vision with Python; however, you […]

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