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

The Flame Learning Channel

Grant Kay에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Grant Kay 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

5+ y ago 15:02

M4V•에피소드 홈

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.

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