Use OpenCV to track objects in video using OpenCV's 8 object tracking algorithms, including CSRT, KCF, Boosting, MIL, TLD, MedianFlow, MOSSE, and GOTURN. Python + OpenCV object tracking code included.

In this in-depth tutorial, you'll learn how to build a socket server and client with Python. By the end of this tutorial, you'll understand how to use the main functions and methods in Python's socket module to write your own networked client-server applications.

9 Steps to Building a Deep Convolutional Neural Net in Excel for Normal Humans.

The Most Complete List of Best AI Cheat Sheets

In this post, we will cover how to use OpenCV’s multi-object tracking API implemented using the MultiTracker class. We will share code in both C++ and Python. Before we dive into the details, please check previous posts listed below on Object Tracking to…

By Raymond Yuan, Software Engineering Intern

Implementation of Decision Trees

Deep learning uses multilayered artificial neural networks to learn digitally from large datasets. It then performs advanced identification and classification tasks. To date, these multilayered neural networks have been implemented on a computer. Lin et al.…

The open-source program is designed for security researchers

Moore’s Law, one of the fundamental laws indicating the exponential progress in the tech industry, especially electronic engineering, has…