I am trying to capture WIFI CSI (Channel State Information) for my research project using a Raspberry Pi 4.
uname -a Linux raspberrypi 5.15.84-v8+ #1613 SMP PREEMPT Thu Jan 5 12:03:08 GMT 2023 aarch64 GNU/Linux
Can someone please point me to the right direction for getting the CSI data from a raspberry pi 4?
I think nexmon https://github.com/seemoo-lab/nexmon_csi/ is only for raspberry Pi 3.
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Just wondered if we had a date for tier 1 support on Ubuntu 20.04?
Also - any word on any support for Raspberry Pi 'Buster' OS version.
I want to set up a cluster of edge-computing, therefore, I need to install the flink on the raspberry-pi.
I am using the raspberry 4b and the system is raspbian. Version is:
Distributor ID: Raspbian
Description: Raspbian GNU/Linux 10 (buster)
Release: 10
Codename: buster
When I just type the docker pull flink, there is an error called:
ERROR: no matching manifest for linux/arm/v7 in the manifest list entries
How could I install it correctly? Thanks a lot!
I also had the same problem, and then searched for an ARMv7 compatible image and found this tag: 1.8-scala_2.12-alpine. It is a few versions behind, but works on my k3s cluster on raspberry pi.
Does anyone have experience of using DDA to passthrough an NVIDIA Tesla into a linux guest on Hyper-V? This setup works perfectly when the guest is Windows 10 and according to what I have read, this should be perfectly supported when using Ubuntu 18.04 LTS or Centos 7/8 as the guest operating system. However the driver fails to detect the presence of the Tesla at install time despite it appearing on the virtual PCI bus.
Thanks
A combination of installing the latest kernel (5.0.0-1028-azure or 5.3.0-26-generic) on Ubuntu 18.04.03 LTS then shuting down the guest. Increasing the high MIMO to 33Gb with:
Set-VM -HighMemoryMappedIoSpace 33GB -VMName vm-name
And then restarting, fixed the issue.
I am trying to build an imaging system and I want to use Tensorflow with Orange pi 4G. Does anyone know if there are limitations, is this possible?
As I can see Orange PI 4g iot is still not compatible with Ubuntu but I hope it will be in the near future. Any information you could give me i will be happy.
Official CI server for Tensorflow has some nightly builds with python wheels for raspberry pi armv7l, it is not officially supported by tensorflow yet, they officially support only 64-bit architectures so far, but I managed to get yolo-keras working on "orange pi pc plus" using their nightly build wheel file.
You can also find the scripts they used for building the wheel (actually it's cross-built using a docker container) in directory tensorflow/tensorflow/tools/ci_build inside source code.
Some people also provided guides for native building, but it generally requires more effort to get it to work.
I suggest you start by trying the python wheel file for tensorflow v1.8.0 for raspberry pi armv7l architecture, found here.
My PC using Microsoft Windows [Version 6.1.7601] but my server using Linux 4.4.11-23.53.amzn1.x86_64 #1 SMP Wed Jun 1 22:22:50 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux
I am using same query at my neo4j server
MATCH (n:Lah)
WHERE n.name = TRIM(' new LAH ')
RETURN n LIMIT 25
This is what I got from running on server using OS Linux :
And this is what I got from running on my PC, using OS Windows :
The question is, Why I got different result when I have same Query? Because I have Java Project that I develop from Windows and I build it on Linux Server.
What I need to do to make my query work?
UPDATE
After check on my co-worker PC, he has same OS with me, and running same Query, the result somehow is empty too. Any idea what is the problem and how to fix this?