This is the third of a planned occasional series of posts on playing with some of the current AI specific boards for Intenet of Things (IoT). In the series, it is planned that will be some experiments with the Google Coral accelerator adapter and the Development Board; as well the NVIDIA Jetson Nano. In previous posts I started playing the Coral Accelerator adapter kit and the Coral Development Board.
This post looks a starting with the NVIDIA Jetson Nano Development Kit which like the Coral Development Board is a small computer designed for running combined embedded and neural network applications. The processing power comes from a quad-core 64-bit ARM CPU and a 128-core integrated NVIDIA GPU (for more details see here)
So before we all get spooked; getting going is relatively easy, basically, follow https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit#intro. Following these instructions I would suggest if you are able to set-up a Raspberry Pi from a download Raspbian image this is not that different
What I wanted to do was attach a camera and grab an image. The board has a MIPI CSI-2 interface which means it should work with a Pi Camera Module V2, here I am using a Leopard Imaging 145FOV wide angle camera & ribbon cable because I had one nearby. A great site, and the one I am using here, for how to use Jetson Nanao and a camera is Jetson Nano + Raspberry Pi Camera which takes you through setting it and testing including the code below to test it.
$ gst-launch-1.0 nvarguscamerasrc ! 'video/x-raw(memory:NVMM),width=3820, height=2464, framerate=21/1, format=NV12' ! nvvidconv flip-method=0 ! 'video/x-raw,width=960, height=616' ! nvvidconv ! nvegltransform ! nveglglessink -eThe image below was grabbed using the Jetson and camera
I found it easier to get going with this board then the Coral development board (though I do like that as well) and I am looking forward to playing with this board more.
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All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with. Twitter @scottturneruon
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