Fixed - Fast & Furious with no men and no cars
The trailer of Fast & Furious with no men and no cars :)
The idea was to revise the original trailer by making only use of machine learning libraries and to not edit anything manually. I ended up using the following pipeline:
- detectron2: classification of humans / cars / undefined; mask creation of the areas of interest
- age-gender-estimation: gender estimation of areas of interest
- generative-inpainting: removing all men / cars; patching up these holes by "hallucinating" content from the remaining pixels
There is also related technical in depth tutorial how to get these machine learning libraries running:
The experiment was inspired by the Bechdel Test, which is a measure of the representation of women in fiction like movies and novels. "It asks whether a work features at least two women who talk to each other about something other than a man".
This experiment was an outcome of my creative residency at the Frank-Ratchye STUDIO for Creative Inquiry.
Inverse – men and cars only
Get ML Stuff Running, Using Docker – A Friendly Tutorial for Artist and Designers
Github tutorial/article, outcome of my residency at the Frank-Ratchye STUDIO for Creative Inquiry, Carnegie Mellon University, Pittsburgh, US
Creative Resident at the Frank-Ratchye STUDIO for Creative Inquiry / Visiting Faculty at the School of Design, Carnegie Mellon University
Creative Resident at the Frank-Ratchye STUDIO for Creative Inquiry and Visiting Faculty (for Data Viz) at the School of Design, Carnegie Mellon University, Pittsburgh, US