JetsonHacks

Developing on NVIDIA® Jetson™ for AI on the Edge

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Racecar/J GTC
Okay, it’s on. As of this writing, you have 118 days to amaze your friends, and confuse your enemies. The prize pool? Currently $42,800 USD. Big ideas, big money. Here’s […]
In this quick tip, we install a package so that we can read SD Cards that are formatted for cameras and Windows machines. Looky here: When you insert a SD […]
Recently Peter Moran wrote an article titled CSI Cameras on the TX2 (The Easy Way) Money Quote: We’re going to look at utilizing the Jetson’s image processing powers and capturing […]
At a recent MIT/Lincoln Labs 2017 Beaver Works Summer Institute Seminar, Mike Boulet gave a lecture on localization with regards to mobile robot navigation. Looky here: Background There are many […]
Ever wonder which L4T version is running on your NVIDIA Jetson Development Kit? There’s a script for that! Looky here: Background If you are a newcomer to the Jetson, some […]
Ok, maybe you were busy flossing the cat, or assembling a dog from a kit and didn’t have time to check out the lectures for CS231n from Stanford, Spring 2017. […]
Using a SSD as the root directory for development on a Jetson Development Kit provides many advantages, including faster disk times and much more storage. It’s easy to do! Looky […]
One of the big changes in the new JetPack 3.1 release is that the NVIDIA Jetson TX1 now runs L4T 28.1, an Ubuntu 16.04 variant. The reason that this is […]
Note: This article has been superseded. Please see: Build Kernel and Modules – NVIDIA Jetson TX2 In this article, we cover building the kernel and modules for the NVIDIA Jetson […]
Today NVIDIA released JetPack 3.1 which introduces L4T 28.1 with production support for both the NVIDIA Jetson TX1 and Jetson TX2 Development Kits. Also new is TensorRT 2.1, cuDNN 6.0 […]

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