jonbruner
Joined 11 years ago
Karma
401
Submissions
23
Member since
Sep 22
Recent submissions
Comment · 1 year ago
Comment · 3 years ago
Ha! I'm with Lumafield--we've actually done the same thing, scanning bags of Doritos, Cheetos, and Ruffles: https://www.lumafield.com/article/bite-into-doritos-ruffles-...
To answer the question about whether these are cleaned up, these scans aren't processed beyond what our software does automatically during the reconstruction. Industrial CT scanners are designed to scan a wider range of material densities than medical scanners. We use some copper filtration to scan parts with lots of dense materials, but no extra processing is required once we've reconstructed the model.
Comment · 3 years ago
Also, the difference between a full cartridge and an empty cartridge is minimal; about 20% of the toner reservoir is filled in a new cartridge, dropping to 15% when the printer says the cartridge is empty.
Comment · 9 years ago
Thanks! Hope it's helpful.
This is on /r/machinelearning, but I'll post it on /r/learnmachinelearning as well.
https://www.reddit.com/r/MachineLearning/comments/6fxbcr/int...
Comment · 9 years ago
Code from the tutorial, including the notebook itself, is available on GitHub here: https://github.com/jonbruner/generative-adversarial-networks
Comment · 9 years ago
In 2013 I wrote an article called "Tweets Loud and Quiet" (https://www.oreilly.com/ideas/tweets-loud-and-quiet) based on a surprising realization: the median Twitter account has one follower, and the median active account has 61 followers.
In order to write the article, I compiled metadata from a random sample of roughly 400,000 Twitter accounts. The entire sample is now available in this GitHub repo.
Although it's almost four years old now, I get requests for access to the dataset on an almost weekly basis. It's no longer a contemporary snapshot of Twitter usage patterns, but it supports interesting research on social dynamics.
Battery scans are very fast; the scans in the report took less than a second. Total cycle time on a Triton CT scanner is under 5 seconds when you account for part handling.