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

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Manage episode 259011656 series 1272072
Inhoud geleverd door Grant Kay. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Grant Kay of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

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.

  continue reading

447 afleveringen

Artwork
iconDelen
 
Manage episode 259011656 series 1272072
Inhoud geleverd door Grant Kay. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Grant Kay of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

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.

  continue reading

447 afleveringen

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