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.

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A (C++/Python) tutorial for OpenCV's multi-object tracking API (MultiTracker) implemented using the MultiTracker class.

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