Next step is to convert it to TensorFlow Lite format. After that I'll attach it to my #game engine.
Last step would be to train something more advanced, imagine a 3D #ragdoll running around realistically by his own.
I had for a long time dreamt of an #ARM64 #SBC #Desktop with a competent #GPU
Too many hashtags to have it a reality? Well, I thought. I am now happily running an #Ubuntu 18.04 #ARM64 Desktop with an extremely fast onboard #Nvidia GPU and 32 GB of soldered LPDDR4x RAM. All in the size similar to that of a Mac mini or Intel NUC.
I give you the Nvidia Jetson AGX Xavier Developer Kit: https://developer.nvidia.com/embedded/jetson-agx-xavier-developer-kit
Branded as an A.I. Developer Board. I don't care. This is my new desktop. Not going back.
Ordered a #pinephone Linux-based device a week ago. Looking forward to getting out from the whole app hysteria we have gotten ourselves into.
The current batch of PinePhone is still in stock (including the desktop convergence version with more RAM)
and yes, I realize how dark this image is when viewed outside on a small screen. haha
now with special FX 😆 lightning effect, through tentacles of the bad guys that gets shot dead
video 🍿 (compressed from phone record utility)
The "Jenkinsfile" that is featured in the video: https://code.stjerndorff.org/robin/pedantica/blob/master/Jenkinsfile
Test script with functionality that does the hard work:
more tests and devices will be added. 😀 will save me time and improve scenario coverage.
video 📽️ of the new #jenkins GUI called #blueocean with a pipeline that uses my devices (an unlocked Chromebook with #coreboot, a macbook used for iOS builds and testing Android phones over USB: Samsung Galaxy S9, Samsung Galaxy XCover4)