The v1.27 is Ready to Play Publicly with Reinforcement Learning ;-)

Hi, it has been some time since the last entry on this blog… ;-). I almost forget how nice it is to write a blog post in the middle of the night with AirPods music :P. Truth be told, I almost dropped this project once on the I could not make sufficient working self-learning of the chess. I do not want to use any books on chess, only, like they Continue ReadingThe v1.27 is Ready to Play Publicly with Reinforcement Learning 😉 Project Ready to Play

Hi, today I want to share the project I have been working on for some time. And invite you to play 😉 With AI with Graphics Card acceleration in short GPU acceleration to make each move at least 5 seconds by the game engine. It is a self-study solution that will be stronger after each game, but each game a bit :D. You may see the below video that shows almost Continue Project Ready to Play

Darknet on OpenCL on FreeBSD 13.1

Hi, recently I helped a bit for a GitHub user rajhlinux. I am not sure if you are familiar with this Operation System. I am only a bit. But the beauty of C and C++ is that it works on different OSes and works fast! Below cute daemon image is from Wikipedia, and you can click on it to learn more. This user, a fan of FreeBSD, was using version 13.1 and Continue ReadingDarknet on OpenCL on FreeBSD 13.1

Darknet on OpenCL on Windows 11 x64

Hi, there are many challenges on Windows 11 x64 with AMD Radeon RX 6900 XT. For the last few months, from time to time, I started to try to build on Windows 10 x64 first and later I updated to Windows 11 x64. There are the following open issues I faced: 1) Time spent on detection is a bit longer than on GNU/Linux or macOS. 2) Detections seem fine when I try Continue ReadingDarknet on OpenCL on Windows 11 x64

GPU-Computing macOS Big Sur vs iBuntu Lux Sur

Hello, Let’s test this beauty from the last post on… LuxMark ;-). The thing is that I wanted to compare OpenCL. I know that OpenCL in both systems is not working entirely right. I found on macOS that (multi-GPU case) clFinish(q) is slow down each time, on iBuntu -cl-fast-relaxed-math causes a black-scenes on Lux Ball… and on Darknet on OpenCL it is more things wrong, but maybe there are my bugs, so… Continue ReadingGPU-Computing macOS Big Sur vs iBuntu Lux Sur

Mac Moria Miner Project Failure

Hello, every failure is a lesson, so let me describe my experiment and the story behind it… I dream about the most robust possible GPU-computing macOS. Let’s start with hardware… design, the way it looks, is not a design, so let’s name it the look and feel ;-). I am sorry to Apple, please forgive me. This was only for tests and future, again try, Ph.D. studies. Do not look at it Continue ReadingMac Moria Miner Project Failure

GPU-Computing for Vision Recognition Platform as IoT

Hi, my dear readers. Today I would like to tell you three technical stories. It will be stories with a happy ending… and you know me..? I am unsure if that story happens precisely this way, but the story is true. IoT Idea Story ;-). First of all, you probably know my passion for IoT? And also, as a tool builder, sorry to say, I do not like to buy the software Continue ReadingGPU-Computing for Vision Recognition Platform as IoT

DarkNet-vNext on CUDA

Hello, I know that many people like my DarkNet on OpenCL. Recently I also made an improved version of the original DarkNet on CUDA, and I called it DarkNet-vNext, and it has all improvements that you were probably looking for. All Yolo models are supported from the 1st to the 4th version. It supports OpenCV 4 and, for example, benchmark possibility. The good news is it is high-speed. As you probably know, Continue ReadingDarkNet-vNext on CUDA

The Multi-GPU-SET Idea

Hello, I am a Ph.D. student in Poland at the Silesian University of Technology. And I wanted to start a general discussion on the classifier on the video stream improvement idea. I called it the “Multi-GPU & Multi-SET” or, in short, the “Multi-GPU-SET” idea. People use Multi-GPU and the “Syncing” for Convolutional Neural Networks. But nobody, in my opinion, tried multi-GPU to classify. So what is it about? Well, it is about Continue ReadingThe Multi-GPU-SET Idea