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K-Nearest Neighbors Classification Using OpenCV

The OpenCV library comes with a module that implements the k-Nearest Neighbors algorithm for machine learning applications.  In this tutorial, you are going to learn how to apply OpenCV’s k-Nearest Neighbors algorithm for the task of classifying handwritten digits. After completing this tutorial, you will know: Several of the most important characteristics of the k-Nearest …

Fast and Cheap Fine-Tuned LLM Inference with LoRA Exchange (LoRAX)

Sponsored Content     By Travis Addair & Geoffrey Angus If you’d like to learn more about how to efficiently and cost-effectively fine-tune and serve open-source LLMs with LoRAX, join our November 7th webinar. Developers are realizing that smaller, specialized language models such as LLaMA-2-7b outperform larger general-purpose models like GPT-4 when fine-tuned with proprietary …

K-Means Clustering for Image Classification Using OpenCV

In a previous tutorial, we have explored the use of the k-means clustering algorithm as an unsupervised machine learning technique that seeks to group similar data into distinct clusters, to uncover patterns in the data.  We have, so far, seen how to apply the k-means clustering algorithm to a simple two-dimensional dataset containing distinct clusters, …

How to Transform Images and Create Video with OpenCV

When you work with OpenCV, you most often work with images. However, you may find it useful to create animation from multiple images. Chances are that showing images in rapid succession may give you different insight or it is easier to visualize your work by introducing a time axis. In this post, you will see …

K-Means Clustering in OpenCV and Application for Color Quantization

The k-means clustering algorithm is an unsupervised machine learning technique that seeks to group similar data into distinct clusters, with the aim of uncovering patterns in the data that may not be apparent to the naked eye.  It is possibly the most widely known algorithm for data clustering, and it comes implemented in the OpenCV …

How to Read and Display Videos Using OpenCV

Digital videos are close relatives of digital images because they are, indeed, made up of many digital images that are sequentially displayed in rapid succession to create the effect of moving visual data.  The OpenCV library provides several methods to work with videos, such as reading video data from different sources as well as accessing …

How to Read, Write, Display Images in OpenCV and Converting Color Spaces

When working with images, some of the most basic operations that are essential to get a grip on include reading the images from disk, displaying them, accessing their pixel values, and converting them from one color space to another. This tutorial explains these basic operations, starting first with a description of how a digital image …

A Gentle Introduction to OpenCV: An Open Source Library for Computer Vision and Machine Learning

If you are interested in working with images and video and would like to introduce machine learning into your computer vision applications, then OpenCV is a library that you will need to get hold of.  OpenCV is a huge open source library that can interface with various programming languages, including Python, and which is extensively …

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Goal Representations for Instruction Following

Goal Representations for Instruction Following A longstanding goal of the field of robot learning has been to create generalist agents that can perform tasks for humans. Natural language has the potential to be an easy-to-use interface for humans to specify arbitrary tasks, but it is difficult to train robots to follow language instructions. Approaches like …