JetsonHacks

Developing on NVIDIA® Jetson™ for AI on the Edge

Category: CUDA

OpenCV 4 on Jetson Nano
Building OpenCV 4 with CUDA support on the NVIDIA Jetson Nano Developer Kit can be a bit of a chore. Here’s some help. Looky here: Background In an earlier article, […]
In order to get access to cameras using OpenCV on the NVIDIA Jetson AGX Xavier, you need to build the library from source. Looky here: Background Using JetPack 4.1, you […]
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? […]
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: […]
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 […]
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 […]
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 […]
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 […]
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. […]
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 […]

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