Tag Archives | dlib

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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Tuning dlib shape predictor hyperparameters to balance speed, accuracy, and model size

In this tutorial, you will learn how to optimally tune dlib’s shape predictor hyperparameters and options to obtain a shape predictor that balances speed, accuracy, and model size. Today is part two in our two-part series on training custom shape predictors with dlib: Part #1: Training custom dlib shape predictors (last week’s tutorial) Part #2: Tuning […]

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Object tracking with dlib

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 […]

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Install dlib (the easy, complete guide)

The latest release of dlib is special. It completely removes the boost.python dependency, making it significantly easier to install across the board on macOS, Ubuntu, and Raspbian. Thanks to the work of Davis King (the creator and maintainer of the dlib library) and Mischan Toos-Haus (who is responsible for removing the boost.python dependency), we can […]

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