Ubuntu for machine learning with NVIDIA RAPIDS in 10 min
10 minutes tutorial on how to set up Ubuntu for machine learning, data science and data analytics using NVIDIA RAPIDS, NGC Containers and Anaconda.
Categoría: Tutorial
How to use the Raspberry Pi High Quality camera on Ubuntu Core
The new High Quality (HQ) camera from the people over at Raspberry Pi is now available. And as they say, it is really rather good. It has the option for interchangeable lenses, a 12 MP sensor, a distinct improvement from the previous 8MP V2 camera, and a tripod screw mount. In this post, I’ll walk […]
How to install Ubuntu with the new Raspberry Pi Imager
The Raspberry Pi Foundation recently released their new “Raspberry Pi Imager” and we love it. It’s a new tool that makes getting going with the Raspberry Pi easier than ever. All it takes is a simple install and three clicks before you have an SDcard ready for Pi. In this article, I’m going to talk […]
ROS 2 CI with GitHub Actions
The ROS 2 Tooling Working Group (chaired by AWS RoboMaker) has been hard at work producing a neat set of GitHub Actions for building and testing ROS packages on a variety of different systems. They work great on Ubuntu targets and preliminary support is already present for MacOS and Windows, making them a great option […]
How to build ROS 2 Eloquent Snaps
The end of 2019 brings about the latest ROS 2 release – Eloquent Elusor. Despite an ever growing set of features and some changes throughout the ecosystem, packaging with snaps is as easy as always. Let’s go through a quick example! Prerequisites You’ll need two tools: “snapcraft,” the program that builds snaps, and “multipass,” the […]
How to add a linter to ROS 2
A well configured linter can catch common errors before code is even run or compiled. ROS 2 makes it easy to add linters of your choice and make them part of your package’s testing pipeline. We’ll step through the process, from start to finish, of adding a linter to ament so it can be used […]
Linting ROS 2 Packages with mypy
One of the most common complaints from developers moving into large Python codebases is the difficulty in figuring out type information, and the ease by which type mismatch errors can appear at runtime. Python 3.5 added support for a type annotation system, described in PEP 484. Python 3.6+ expands this with individual variable annotations (PEP […]
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