Report from the Field #41
Playing with FFmpeg, OpenVINO and TensorFlow

Show the available FFmpeg options in Homebrew:
brew options avpres/formulae/ffmpeg

What and how

Some lessons we learned over eight years of deep machine learning, applied to moving image restoration, focused on the new possibilities open-source offers today. A presentation by Michal Cohen and Reto Kromer, followed by an informal Q&A session and light refreshments. This is a kind of sequel of our last year’s Working with multispectral moving images and Deep machine learning applied to moving image restoration sessions.

When and where

In-person at the Park Innovaare in Villigen on Friday 28 March 2025 with webcast, starting at 11 o’clock sharp in Switzerland (that’s 10:00 UTC). We will use a Jitsi-based platform and the link will be provided in proper time.

As usual, the admission to our Reports from the Field is free, but a registration is required, as the seats are limited to about two dozen, in order to enable in-depth technical discussions and the exchange of information.

Note

• We are very unhappy that our generosity is often betrayed, as many of our materials are distributed without naming their origin. Increasingly, others are even shamelessly claiming authorship of our work, which is just disgusting behaviour. And that’s the very reason why some resources are no longer freely available, but have been moved to password-protected parts of our website.

2025-03-26