Current articles

• ../
• How not to detect virtualization
  • A brief look into several different methods of detecting virtualization software, and the reasons why you shouldn't try to use any of them.
• How to get started with libxml2
  • As a 3rd-party library, libxml2 is quite valuable, but the learning curve is quite steep unless you have a good example. Here is one such example of how to open an XML file, read a value, change a value, and write the file back out.
• How to get started with Valgrind
  • How to get started with the Linux tool that detects memory corruption and resource leaks.
• The problem with POSIX semaphores
  • Why I cannot use POSIX named semaphores in my applications.
• How to use backtrace and demangle C++ names
  • How to log a proper call stack.
• How I use regular expressions
  • Making use of <regex.h>.
• How to use std::thread (C++0x)
  • Information on how to use the new C++0x std::thread.
• How to install and use GCC g++ v4.7 and C++11 on Ubuntu 12.04
  • GCC v4.7 supports nearly all of C++11, but it doesn't come standard with Ubuntu.
• C++0x and C++11
  • A short slideshow with information on the state of C++ in 2011.
• How to use boost::date_time
  • Replacing time_t with boost::date_time::ptime.
• Setting up a Ubuntu Development VM
  • A list of things I do when setting up a Ubuntu-based development VM.
• std::this_thread::sleep_for()
  • What is the shortest amount of time a thread can sleep.
• How to install Munin
  • How to install and configure Munin.
• Valgrind script
  • Convenient script used to start Valgrind.
• How to create new irc channels
  • Notes on how I create and configure support channels on irc.
• How to use boost::regex
  • Regular expressions using boost::regex (and std::regex).
• How to do bandwidth control
  • Rate control sounds complicated, but can be done in a few lines of code.
• How to build OpenSSL in Windows
  • Building 32-bit and 64-bit versions of OpenSSL for Windows.
• How to use Code39
  • Generating Code39 barcodes.
• BeagleBone Black, BeagleBone Green, and Ubuntu
  • Installing and configuring Ubuntu on the Beagle Bone Black and Beagle Bone Green ARM7.
• Lines of code
  • Using CLOC to get an accurate count of lines of code.
• BeagleBone Black, BeagleBone Green, and Grove
  • How to get started with BeagleBone Black, BeagleBone Green, and Grove.
• How to cross compile
  • Cross compiling for BeagbleBone Black and BeagleBone Green.
• How to install ccache
  • GNU gcc and g++ compiler cache.
• How to setup a BeagleBone Green Wireless
  • Setting up a BBGW for the first time.
• How to access 5" LCD cape for BeagleBone
  • How to use Seeed Studio's 5" LCD on a BeagleBone.
• How to build and use GoAccess
  • Building GoAccess from source and running it to monitor a web server.
• How to revive a BeagleBone with a bad eMMC
  • Bringing back to life a BeagleBone that wont boot anymore.
• Setting up a Ubuntu development VM (2016-10 edition)
  • An update to an earlier post on setting up a Ubuntu development VM.
• How to setup a honeypot
  • Setting up a SSH/Telnet honeypot is simple with Cowrie.
• How to setup a BeagleBone Black Wireless
  • Setting up a BBBW for the first time.
• BeagleBone images
  • Differences between BeagleBone images.
• Anatomy of a JPEG
  • Understanding the internals of JPEG files.
• Size of common types
  • Byte size of common variable types.
• PostgreSQL, timestamps, and time zones
  • How to use timestamps and time zones in PostgreSQL.
• Parallax's Boe Bot
  • Using Parallax's Boe Bot in Ubuntu.
• Introduction To OpenCV
  • Part 1 -- how to build your first OpenCV project.
• Colours In OpenCV
  • Part 2 -- manipulating colours in OpenCV.
• Edges And Contours In OpenCV
  • Part 3 -- finding edges and contours in OpenCV.
• Java And Ubuntu
  • Installing Oracle Java in Ubuntu.
• Building OpenCV v4.1.0
  • Building OpenCV v4.1.0 on Ubuntu 16.04 and Ubuntu 18.10.
• Generating barcodes with the Zint C API
  • Building and Using Zint's C API to generate barcodes and access them from OpenCV.
• Darknet Summary
  • Darknet post #1 of 5 -- Summary.
• Creating training images
  • Darknet post #2 of 5 -- Creating the training images.
• Installing and building Darknet
  • Darknet post #3 of 5 -- Installing and building Darknet.
• Training a neural network
  • Darknet post #4 of 5 -- Using Darknet to train a new neural network.
• Accessing Darknet in C and C++
  • Darknet post #5 of 5 -- Using the Darknet C API and DarkHelp C++ API.
• Neural Network: Dogs and Cats
  • Training a neural network to recognize dogs and cats.
• Artificial Neural Networks
  • Various artificial neural networks including some sample images.
• YOLO Neural Network Training with Darknet
  • Several observations and test results related to training a YOLOv3 neural network.
• How to get started with Darknet
  • Start a new computer vision neural network with Darknet and YOLO.
• Darknet FAQ
  • Some important questions and answers related to Darknet and YOLO.
• Cost of cv::imwrite()
  • How expensive are calls to cv::imwrite()?
• CUDA and OpenCV
  • How to use CUDA and OpenCV.
• Darknet, OpenCV, and FPS
  • What kind of throughput can be expected when working with Darknet, OpenCV, and various IoT devices.
• Tesseract and Image Quality
  • How does image quality impact tesseract results?
• Tesseract and Image Dimensions
  • How does image dimensions impact tesseract results?
• Tesseract and Image Rotation
  • How does image rotation impact tesseract results?
• Granada Dataset
  • Documents to use when learning Darknet/YOLO object detection and Tesseract OCR.
• Project Nayuki's QR Code Generator and OpenCV
  • How to combine qrcodegen.hpp and OpenCV.
• ZInt revisited
  • Generating barcodes from within C++ using the ZInt library.
• Rolodex Dataset
  • Yet another text dataset to use with Darknet/YOLO annotation format.
• Darknet/YOLO and Image Rotation
  • How to use YOLO results to rotate an image and get better results.
• Lego Gears Dataset
  • An extremely simple dataset to use with Darknet/YOLO.
• Darknet/YOLO Keypoints
  • Keypoints & Skeletons in Darknet V3.
• Darknet/YOLO People-R-People
  • Detecting people in images and videos using the Darknet/YOLO People-R-People weights.
• Darknet/YOLO Training Output
  • Description of the output fields shown when training a neural network using Darknet/YOLO.
• Doxygen output of several projects
  • camcap
  • cvui
  • darkhelp
  • darknet
  • darknet_java
  • darknet-ng
  • dpp
  • eps
  • fc++
  • fcpp
  • geolite2++
  • hoops_visualize_hps
  • hw
  • jpegwrap
  • juce
  • juce_6
  • juce_8
  • movedetect
  • mpv
  • nocl
  • opencv
  • opencv_3.2.0
  • opencv_4
  • sg++
  • sgpp
  • smk
  • tesseract
  • tinyaes++
  • tinyaespp
  • vzic
  • vz_imagination
  • ws++
  • wspp
  • zbar