3D Tracking with Camera Analysis - P3 - Excluding with Masks and Machine Learning - Flame 2022

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The Flame Learning Channel

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We're trying something different this week: a full post-show breakdown of every episode in the latest season of Black Mirror! Ari Romero is joined by Tudum's Black Mirror expert, Keisha Hatchett, to give you all the nuance, the insider commentary, and the details you might have missed in this incredible new season. Plus commentary from creator & showrunner Charlie Brooker! SPOILER ALERT: We're talking about the new season in detail and revealing key plot points. If you haven't watched yet, and you don't want to know what happens, turn back now! You can watch all seven seasons of Black Mirror now in your personalized virtual theater . Follow Netflix Podcasts and read more about Black Mirror on Tudum.com .…

4年之前 7:08

M4V•单集首页

In this video on 3D tracking with Camera Analysis, you’ll learn how to exclude certain parts of your image when performing a 3D track.

This becomes a necessity when there is any unwanted movement in the shot.

For example, moving people, animals, cars or even flowing water.

So the best approach is to predict the unwanted movement before the analysis takes place.

You’ll first learn the workflow of excluding areas with a mask and then you’ll learn the second workflow of excluding areas with Machine Learning.

These are very power tools and both options are worth exploring.

447集单集

3D Tracking with Camera Analysis - P3 - Excluding with Masks and Machine Learning - Flame 2022

published 4年之前

M4V•单集首页

In this video on 3D tracking with Camera Analysis, you’ll learn how to exclude certain parts of your image when performing a 3D track.

This becomes a necessity when there is any unwanted movement in the shot.

For example, moving people, animals, cars or even flowing water.

So the best approach is to predict the unwanted movement before the analysis takes place.

You’ll first learn the workflow of excluding areas with a mask and then you’ll learn the second workflow of excluding areas with Machine Learning.

These are very power tools and both options are worth exploring.

447集单集

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