Machine Learning - Part 6 - Human Face Extraction - Flame 2021

The Flame Learning Channel

With the release of Flame 2021, the machine learning models have been enhanced yet again to give you more choice and flexibility When working on your productions.

So previously, the machine learning models were able to recognise and isolate the human body and human head for various finishing tasks.

With this new release of Flame, you can now segment various parts of the human face for any compositing, grading and beauty work.

So you can isolate the skin, eyes, the mouth, nose, ears and much more.

This is all achieved using the familiar Semantic Keyer workflow and the Human Face Segmentation is available in the timeline as well as Batch and BatchFX.

We’ll run through some examples to cover the features.

But as a usual reminder with Machine Learning, this is not a perfect solution.

Similar to all the previous videos, the Machine Learning Models are only as good as their training And depending on certain conditions They may or may not be successful.

As long as you try these tools on multiple shots, you’ll eventually understand Which situations may be successful.