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CodeProject - Professional Profile


The CodeProject team have been writing software, building communities, and hosting for over 20 years. We are passionate about helping developers share knowledge, learn new skills, and connect. We believe everyone can code, and every contribution, no matter how small, helps.

The CodeProject team is currently focussing on CodeProject.AI Server, a stand-alone, self-hosted server that provides AI inferencing services on any platform for any language. Learn AI by jumping in the deep end with us:


Below is the list of members of this group

Software Developer (Senior) CodeProject
Canada Canada
As Senior Architect, Matthew is responsible for the Architecture, Design, and Coding of the CodeProject software as well as Manager of the Infrastructure that runs the web site.

Matthew works on improving the performance and experience of the Code Project site for users, clients, and administrators.

Matthew has more years of software development, QA and architecture experience under his belt than he likes to admit. He graduated from the University of Waterloo with a B.Sc. in Electrical Engineering. He started out developing micro-processor based hardware and software including compilers and operating systems.
His current focus is on .NET web development including jQuery, Webforms, MVC, AJAX, and patterns and practices for creating better websites.
He is the author of the Munq IOC, the fastest ASP.NET focused IOC Container.
His non-programming passions include golf, pool, curling, reading and building stuff for the house.
Technical Writer CodeProject
Canada Canada
Sean Ewington is the Content Manager for CodeProject.

His background in programming is primarily C++ and HTML, but has experience in other, "unsavoury" languages.

He loves movies, and likes to say inconceivable often, even if it does not mean what he thinks it means.
Founder CodeProject
Canada Canada
I started photo-etching circuit boards when I was 8, and at 11 was haunting the halls and computer science labs at the local university so much that I was invited by Professor Wayne Ayott to audit his software and hardware design courses.

Over my career I have used C# , C++, Win32, MFC, Assembler, Basic, and Clipper, on applications for the military, commercial ventures, medical research and the labour movement. Through my medical informatics work I came to know what real-time and mission-critical really mean… just try being part of the critical path when a woman goes into labor.

I have been honoured to receive many business, industry and leadership awards including being named an Exceptional Young Entrepreneur (Profit Magazine) and to the list of Who's Who in Canadian Business. The companies I started have been recognized as the Fastest Growing companies in Canada (Profit Magazine), as the Fastest Growing North American Technology Companies (Deloitte & Touché) and named as a Top 100 Innovator and Leader by SDTimes 6 years in a row. I serve on the boards of the Ontario Center for Innovation, and Umbra a leading international home goods company.

Here's my professional profile on LinkedIn:

In 2007 Microsoft acquired the technology assets, IP and development team of my company Dundas Software and rolled it into SQL Server. After the Microsoft deal we recapitalized Dundas and grew it again into Dundas Data Visualization a leading Embedded BI company which was acquired by insightsoftware in 2022.

I live in Toronto and enjoy photography, scuba, food, and motorcycle riding.
Founder CodeProject
Canada Canada
Chris Maunder is the co-founder of and has been a prominent figure in the software development community for nearly 30 years. Hailing from Australia, Chris has a background in Mathematics, Astrophysics, Environmental Engineering and Defence Research. His programming endeavours span everything from FORTRAN on Super Computers, C++/MFC on Windows, through to to high-load .NET web applications and Python AI applications on everything from macOS to a Raspberry Pi. Chris is a full-stack developer who is as comfortable with SQL as he is with CSS.

In the late 1990s, he and his business partner David Cunningham recognized the need for a platform that would facilitate knowledge-sharing among developers, leading to the establishment of in 1999. Chris's expertise in programming and his passion for fostering a collaborative environment have played a pivotal role in the success of Over the years, the website has grown into a vibrant community where programmers worldwide can connect, exchange ideas, and find solutions to coding challenges. Chris is a prolific contributor to the developer community through his articles and tutorials, and his latest passion project, CodeProject.AI.

In addition to his work with, Chris co-founded ContentLab and DeveloperMedia, two projects focussed on helping companies make their Software Projects a success. Chris's roles included Product Development, Content Creation, Client Satisfaction and Systems Automation.


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Actions with a green tick can be performed by this member.

GeneralCodeProject.AI Server Mesh Pin
Chris Maunder29-Nov-23 11:15
cofounderChris Maunder29-Nov-23 11:15 
NewsPaddlePaddle and OCR on a Raspberry Pi Pin
Chris Maunder26-Sep-23 10:52
cofounderChris Maunder26-Sep-23 10:52 
GeneralVersion 2.2.0 and the Case of the Quantum Tunnelling, Time Travelling Script Pin
Chris Maunder16-Sep-23 13:20
cofounderChris Maunder16-Sep-23 13:20 
GeneralNative macOS installer. Of sorts. Update: Ubuntu too. Pin
Chris Maunder1-Sep-23 8:53
cofounderChris Maunder1-Sep-23 8:53 
GeneralCoral Edge TPU accelerator does actually work on a Mac! [Update: Ubuntu too] Pin
Chris Maunder11-Aug-23 5:01
cofounderChris Maunder11-Aug-23 5:01 
GeneralRe: Coral Edge TPU accelerator does actually work on a Mac! [Update: Ubuntu too] Pin
seashellz5916-Aug-23 12:38
seashellz5916-Aug-23 12:38 
GeneralRe: Coral Edge TPU accelerator does actually work on a Mac! [Update: Ubuntu too] Pin
Chris Maunder16-Aug-23 12:41
cofounderChris Maunder16-Aug-23 12:41 
GeneralRe: Coral Edge TPU accelerator does actually work on a Mac! [Update: Ubuntu too] Pin
seashellz5916-Aug-23 13:37
seashellz5916-Aug-23 13:37 
GeneralRe: Coral Edge TPU accelerator does actually work on a Mac! [Update: Ubuntu too] Pin
seashellz5918-Aug-23 9:49
seashellz5918-Aug-23 9:49 
GeneralRe: Coral Edge TPU accelerator does actually work on a Mac! [Update: Ubuntu too] Pin
seashellz5925-Oct-23 9:33
seashellz5925-Oct-23 9:33 
GeneralCodeProject.AI Server Introduces Model Training Pin
Sean Ewington4-Aug-23 5:36
staffSean Ewington4-Aug-23 5:36 
GeneralCodeProject.AI Server 2.1.8 is out! Pin
Sean Ewington4-May-23 11:24
staffSean Ewington4-May-23 11:24 
GeneralCodeProject.AI Server is on Home Assistant OS! Pin
Sean Ewington1-May-23 7:32
staffSean Ewington1-May-23 7:32 
GeneralCodeProject.AI Server 2.1 is Released! Pin
Sean Ewington21-Apr-23 7:25
staffSean Ewington21-Apr-23 7:25 
NewsCartooniser: What you can do with barely any lines of code Pin
Chris Maunder29-Mar-23 5:23
cofounderChris Maunder29-Mar-23 5:23 
GeneralCodeProject.AI Server is now integrated with Home Assistant! Pin
Sean Ewington17-Mar-23 12:52
staffSean Ewington17-Mar-23 12:52 
GeneralObject Detection on a Raspberry Pi using a Coral.AI TPU Pin
Chris Maunder21-Feb-23 4:49
cofounderChris Maunder21-Feb-23 4:49 
GeneralPersistant Processes Issue Fixed! Pin
Sean Ewington18-Feb-23 4:40
staffSean Ewington18-Feb-23 4:40 
GeneralThe New CodeProject.AI Server Module Registry Pin
Sean Ewington10-Feb-23 5:02
staffSean Ewington10-Feb-23 5:02 
GeneralCodeProject.AI Server 2.05 is now available! Pin
Sean Ewington16-Jan-23 9:13
staffSean Ewington16-Jan-23 9:13 
GeneralRaspberry Pi support Pin
Chris Maunder14-Dec-22 13:35
cofounderChris Maunder14-Dec-22 13:35 
GeneralCodeProject.AI Server API is now on .NET 7 Pin
Matthew Dennis6-Dec-22 5:19
sysadminMatthew Dennis6-Dec-22 5:19 
GeneralBlue Iris Not Detecting Motion at Night Pin
Sean Ewington28-Nov-22 6:02
staffSean Ewington28-Nov-22 6:02 
GeneralCodeProject.AI Server hits 50,000 downloads! Pin
Sean Ewington10-Nov-22 12:39
staffSean Ewington10-Nov-22 12:39 
GeneralDisabling Half Precision Processing for Older GPUs in CodeProject AI Server Pin
Matthew Dennis4-Nov-22 8:08
sysadminMatthew Dennis4-Nov-22 8:08 
A number of people are using CodeProject.AI Server with Blue Iris, a video security software package. Our server supplies the AI smarts to detect things like vehicles, people, and custom objects from the video feeds.

Last month we got an error from a Blue Iris user who was using GPU processing. The error Blue Iris gave them was "AI: not responding."

In their error report, the user indicated they were using an NVIDIA GeForce GTX 1070 Ti which, we discovered, is not able to use half precision in its image processing for AI.

When doing a prediction (or inference) of an image to determine what's in it, this prediction process uses a model. Within the model there is a set of weights that are basically the coefficients that are assigned to various points in the model. When you download a model, you are downloading (among other things) a series of weights that have been trained for a particular process or AI task such as detecting raccoons. The weights assist in considering the input, like an image, to help determine the values of a set of outputs, one of which could be whether a raccoon was detected in the image.

This training process uses a set of inputs with known outputs. It runs the detection process and measures the error of the output to the expected known output. The training process tries to minimize the error by backwards propagating and adjusting all the weights all the way back, then doing it over and over again until it converges to an acceptable error rate. This process takes a lot of time and processing power.

The detection process uses the trained model’s weights to take an input - in this case an image - and calculates the probability that an object was trained to detect is in the image, and where it is located.

Part of this processing time has to do with your graphics card. Some graphics cards use half precision floating-point format, or FP16. If the card does not support half precision, or the processing is being done on the CPU, 32-bit floating point (FP32) is used. These are the number formats that are used in image processing.

For image processing, FP16 is preferred. Newer NVIDIA GPUs have specialized cores called Tensor Cores which can process FP16.

But for those with graphics cards that do not have Tensor Cores and are trying to use Blue Iris with CodeProject.AI Server, they would get an error message that read "AI: not responding."

In order to address this, we determined which models of the NVIDIA GPUs actually supported FP16 and created a table which says, "these graphics cards don't support FP16 and so don't try and use FP16 for those GPUs anymore." Hopefully we've got a comprehensive list. We may not and we'll have to adjust it if we find any more, but for now, here is our list:
  • TU102
  • TU104
  • TU106
  • TU116
  • TU117
  • GeoForce GT 1030
  • GeForce GTX 1050
  • GeForce GTX 1060
  • GeForce GTX 1060
  • GeForce GTX 1070
  • GeForce GTX 1080
  • GeForce RTX 2060
  • GeForce RTX 2070
  • GeForce RTX 2080
  • GeForce GTX 1650
  • GeForce GTX 1660
  • MX550
  • MX450
  • Quadro RTX 8000
  • Quadro RTX 6000
  • Quadro RTX 5000
  • Quadro RTX 4000
  • Quadro P620
  • Quadro P400
  • T1000
  • T600
  • T400
  • T1200
  • T500
  • T2000
  • Tesla T4
"Time flies like an arrow. Fruit flies like a banana."

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