This video will assume that you have a general understanding of Dolby Vision™. So in the Flame products, you can master Dolby Vision™ As well as edit the Dolby Vision metadata with a sophisticated, yet flexible, suite of tools. And in order to view the content, Dolby Vision™ has also been added across a range of displays including the latest UHD viewing hardware. Dolby Vision™ has become one of the deliverable standards and it has been implemented with various content streaming providers such as Netflix, Amazon, etc. So its main purpose is to provide the content producer with some control over how HDR masters will play back on displays that have less dynamic range or colour gamut. Now Dolby Laboratories developed this HDR format to make the most of High Dynamic Range and wide colour gamut technology. There is support for Dolby Vision™ 2.9 and Dolby Visio™n 4.0 and this is available in the timeline as well as Batch enabling you to have HDR workflows ranging from simple mastering tasks all the way up to complex conform workflows. In this series, we are going to cover how to master Dolby Vision™ deliverables which has been introduced in the Flame 2021 products. As long as you try these tools on multiple shots, you’ll eventually understand Which situations may be successful. 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. But as a usual reminder with Machine Learning, this is not a perfect solution. We’ll run through some examples to cover the features. 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. So you can isolate the skin, eyes, the mouth, nose, ears and much more. With this new release of Flame, you can now segment various parts of the human face for any compositing, grading and beauty work. So previously, the machine learning models were able to recognise and isolate the human body and human head for various finishing tasks.
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.
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