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 probably you were looking for. All Yolo models are supported from the 1st to 4th version, it supports OpenCV 4 and, for example, benchmark possibility. The good news it is high-speed. As you probably may know, CUDA Continue ReadingDarkNet-vNext on CUDA
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 “Multi-GPU-SET” idea. Basically, people use Multi-GPU and the “Syncing” for Convolutional Neural Networks. But nobody in my opinion tried multi GPU to classification. So what it is about? Well, it is Continue ReadingThe Multi-GPU-SET Idea
This is the status update of my private “after work” progress on Ph.D. studies at the Silesian University in Gliwice Poland. I think it may interest all AI/ML researchers around the world. Basically, I covered in 30 minutes Conventional Neural Network (CNN) engine usage to classified on the objects on video frames. I cover also my implementation of the Darknet on OpenCL that you can find at https://github.com/sowson/darknet including the goal, idea, Continue ReadingPhD Progress from March 8th 2020 Update Keynote
Hi, there is no short answer to that question. I found that only and the best implementation of OpenCL is on macOS and I compared Nvidia Titan RTX 24GB GDDRX VRAM ($3000) on GNU/Linux, on CUDA, on OpenCL… and to beat it I chose AMD Radeon VII 16GB HBM2 VRAM ($700), but on GNU/Linux is slow, very slow. However, on the installed by me macOS on Hania PC, this AMD GPU computation Continue ReadingIs OpenCL beats CUDA?