Jason Antic

In case anybody was wondering about how I monitor progress in DeOldify- I don’t pay a huge amount of attention to training/validation loss because they don’t actually capture a lot of the issues I wind up seeing (artifacts, uniformly black renders, etc).https://twitter.com/citnaj/status/1200854194002878464 …

And then I have both the Jupyter notebook “test” image suites and then a batch of 100s of more public domain images. It’s painful and tedious but using my eyes on these directly I’ve found is the only reliable way I have to measure progress. And even the you have to be extremely

careful about perception issues- you misremember stuff easily, and literally see things differently depending on context. So I don’t necessarily take a first go at it as the final say as to whether or not the model is great or not.