For my 40th birthday I got from my friends a very special present, an USB Accelerator that brings machine learning inferencing to existing systems:
From its website:
The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. See more performance benchmarks.
So I am going to connect this through the USB port to my NAS system:
Then, using the container station:
I will install this container:
So that I will have a jupyter notebook available to run on the TPU this Machine Learning algorithm:
From its webpage:
Simply put, the mission of this project is to colorize and restore old images and film footage.
And finally, I have some old photos from "la Selva del Camp" that I would like to colorify.
Sounds fun, doesn't it?
Looking for hackers with the skills:
This project is part of:
Hack Week 19
[comment]: # (Please use the project descriptio...
Dashboard to aggregat...