Theoretically, if you want to use it mainly for the vision and machine learning part, you can implement HALTALK stack on it and have the actual Machinekit-HAL running on something else (BBB for example).
Cern. Dne středa 20. března 2019 3:57:18 UTC+1 Daren Schwenke napsal(a): > > I guess unless some of you work for Nvidia, someone having one already is > pretty unlikely. > Arrow shows 16 weeks. Sparkfun doesn't have a date. SeedStudio shows Apr > 12th! > Here's hoping... > Anyone figured out what monumental tasks would have to take place to run > on Ubuntu 18.04/LTS kernel 4.9 anyway? > > On Tuesday, March 19, 2019 at 10:08:40 PM UTC-4, Daren Schwenke wrote: >> >> I just got a little bit excited as a powerful machine vision platform in >> a small and relatively inexpensive form factor just happened. >> 128 Cuda cores... >> It even has a Pi camera slot onboard. >> Ok... a lot excited.. >> >> >> https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/ >> >> This would be *absolutely perfect* for running OpenCV with the P1 >> <https://hackaday.io/project/45404>. >> >> Now the question becomes... how would one go about getting Machinekit >> running on this? >> I know it has 40 pins of gpio and onboard ethernet. >> I will design a daughterboard for it. >> >> Anyone got one already to try it out? >> Supposedly it runs a variant of Ubuntu 18.04 LTS with LTS kernel 4.9. >> >> >> -- website: http://www.machinekit.io blog: http://blog.machinekit.io github: https://github.com/machinekit --- You received this message because you are subscribed to the Google Groups "Machinekit" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. Visit this group at https://groups.google.com/group/machinekit. For more options, visit https://groups.google.com/d/optout.
