Several years ago, the Sony PlayStation 3 Eye webcam was the staple of DIY Computer Vision projects. I happened to have several of them lying about from past projects. Here’s a video on how to install the driver and get them running on the Jetson. Looky here: Installation This installation Read more …
NVIDIA’s cuDNN is a GPU-accelelerated library of primitives for deep neural networks, which is designed to be integrated into higher-level machine learning frameworks, such as UC Berkeley’s Caffe deep learning framework software. In an earlier blog post, we installed Caffe on a Jetson TK1. Here’s a short video on how Read more …
Back in October 2014, Google’s Pete Warden wrote an interesting article: How to run the Caffe deep learning vision library on Nvidia’s Jetson mobile GPU board. At the time, I thought, “What fun!”. However, I noticed in the article that at the time there were issues with running Caffe on Read more …
Facebook AI Research (FAIR) has open sourced Deep Learning CUDA extensions. The extensions are for Torch, a scientific computing framework with wide support for machine learning algorithms. In the Facebook blog announcement, researchers claim a speedup of over 20x compared to the fastest publicly available code when used to train Read more …
Computación y Sistemas has published an interesting paper: Simulating and Visualizing Real-Time Crowds on GPU Clusters. Here’s the source of the paper: Computación y Sistemas. Several different NVIDIA GPUs were tested, including the Jetson TK1 and Titan. While the Jetson was not quite able to run the single test in Read more …
Walter Lucetti has step by step instructions on how to install OpenNI2 on the Jetson: http://myzharbot.robot-home.it/blog/software/configuration-nvidia-jetson-tk1/asus-xtion-pro-live-openni2-compilation-install-instructions/. These instructions are derived from this Jetsonhacks post: Building OpenNI2 for the Structure Sensor from several months back. Enjoy!
Copyright @ JetsonHacks 2014-2020