Wouldn’t it be nice to be able to package OpenCV into an installable after a build such as in our previous article, Build OpenCV 3.4 with CUDA on Jetson TX2? Well you can! In fact, the OpenCV build system makes this pretty simple. Note: There’s also an article for the Read more …
In order for OpenCV to get access to CUDA acceleration on the NVIDIA Jetson TX2 running L4T 28.2 (JetPack 3.2), you need to build the library from source. Looky here: Background With the latest release of L4T, 28.2, OpenCV version 3.3 may be installed through the JetPack installer. At the Read more …
In our previous article, Intel RealSense D400 librealsense2, we began work on making the the RealSense SDK work more smoothly on the NVIDIA Jetson TX Development kits. We now add CUDA support! Looky here: Background As you may recall, there are a few issues with running the RealSense SDK, librealsense Read more …
Note: This article has been updated for L4T 28.2. Please see Build OpenCV 3.4 with CUDA on NVIDIA Jetson TX2 As a developer, sometimes you need to build OpenCV from source to get the configuration desired. There is a script on the JetsonHacks Github account to help in the process. Read more …
Laszlo Agocs over on the Qt blog has a write up on how to run Qt and CUDA on the NVIDIA Jetson TK1. Check it out! Qt Weekly #28: Qt and CUDA on the Jetson TK1
A great article over at the NVIDIA Parallel FORALL blog: BIDMach: Machine Learning at the Limit with GPUs by John Canny over at Berkeley. Introduction: Deep learning has made enormous leaps forward thanks to GPU hardware. But much Big Data analysis is still done with classical methods on sparse data. Read more …
Install CUDA 6.5 on a freshly flashed Linux for Tegra (L4T) 21.1. Also, the samples from the CUDA package are built, and a few of the graphics demos are shown. Before starting your own install, you should be familiar with NVIDIA CUDA Getting Started Guide for Linux Looky here: Here’s Read more …
Filmed a couple of NVIDIA Jetson TK1 Demos. These demos are supplied with the board from the NVIDIA support website. Both show the performance of using hardware acceleration with the 192 CUDA cores. Jetson CUDA nbody Jetson CUDA Particle Simulation Enjoy!
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