Colour grading meets machine learning

Martin Tlaskal, Head of Development, FilmLight

In the ever-evolving landscape of film and TV post-production, machine learning (ML) has become a pivotal force with a magnitude of ML models for image processing released every single day.

At FilmLight, we're continuously monitoring the market and our customers' requirements; we work hard to update and improve our technology so it's always moving forward and providing a platform that fulfils the colourists' needs.

This is demonstrated in the latest version of our grading software, Baselight 6.0, which we launched at the end of last year. The platform benefits from several years of development which bring colourists major gains in productivity and creativity, including an improved and modernised timeline, a new primary grading tool, X Grade, and a unique new look development tool, Chromogen.

For the first time, the latest Baselight release also includes ground-breaking ML-based tools and features. Our main goal was to come up with a platform to allow us to do two things.

Firstly, where we felt it would be beneficial to our customers, we wanted to be able to train our own ML models and integrate them deeply inside Baselight. But we also wanted to create a platform which allows us to easily and quickly integrate external models into Baselight - allowing ourselves and our customers to stay on the cutting edge of the latest trends and technology in this field.

Face Track

Face Track is the first example of our own ML-based model which, following years of research and development (led by Patrice Lacour, Software Developer), has been deeply integrated inside Baselight 6.0.

Face Track was born out of a recognition of the significant amount of time colourists spend on tasks like facial match grading and digital beauty work. Our goal was to create a tool that streamlines and enhances this process, saving the colourist time and increasing productivity.

Face Track in Baselight 6.0

LINK:	https://www.filmlight.ltd.uk/store/press_releases/colour-grading-meets...
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