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Chroma Keying Part 2: Using the machine learning Magic Mask with Fusion’s Delta Keyer for more refined chroma keys
Learn how to use the machine-learning (ML) Magic Mask tool with Fusion’s Delta Keyer for your green screen projects. I’ll show you how ML can generate quick previews for your compositing. Later, the same ML solutions can support the Delta Keyer through Garbage Mattes and Solid Mattes.
Magic Mask: Advantages and limitations
ML keying solutions like the Magic Mask are becoming more powerful but still have limitations. Chroma keying scenarios generally require good contrast between foreground and background elements, which is an ideal starting point for the Magic Mask. However, the Magic Mask still struggles with semitransparent areas, especially around loose hair.
But even a rough keying solution can still help a lot. Often, you can erode the magic mask to use it as a solid matte, or you can dilate and invert it to use it as a garbage matte. This can save a lot of rotoscoping work traditionally associated with chroma keying. It also helps you focus the delta keyer on the most difficult areas: soft edge detail and hair detail.
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