<itemvalue="{@template auto_size_text.stepGranularity} The step size in which the font size is being adapted to constraints. The Text scales uniformly in a range between [minFontSize] and [maxFontSize]. Each increment occurs as per the step size set in stepGranularity. Most of the time you don't want a stepGranularity below 1.0. Is being ignored if [presetFontSizes] is set. {@endtemplate}"/>
<itemvalue="MinFontSize must be a multiple of stepGranularity"/>
<itemvalue="type RESUME AND SKIP CUR ACTION"/>
<itemvalue="type RESUME AND SKIP CUR ACTION"/>
<itemvalue="fog"/>
<itemvalue="fog"/>
<itemvalue="wireframe linejoin"/>
<itemvalue="wireframe linejoin"/>
@ -70,8 +72,6 @@
<itemvalue="The [imageBytes] parameter should contain encoded image data (JPEG, PNG, etc.)."/>
<itemvalue="The [imageBytes] parameter should contain encoded image data (JPEG, PNG, etc.)."/>
<itemvalue="Specifies which face detection model variant to use. Different models are optimized for different use cases: - [frontCamera]: Optimized for selfiefront-facing camera (128x128 input) - [backCamera]: Optimized for rear camera with higher resolution (256x256 input) - [shortRange]: Optimized for close-up faces (128x128 input) - [full]: Full-range detection (192x192 input) - [fullSparse]: Full-range with sparse anchors (192x192 input)"/>
<itemvalue="Specifies which face detection model variant to use. Different models are optimized for different use cases: - [frontCamera]: Optimized for selfiefront-facing camera (128x128 input) - [backCamera]: Optimized for rear camera with higher resolution (256x256 input) - [shortRange]: Optimized for close-up faces (128x128 input) - [full]: Full-range detection (192x192 input) - [fullSparse]: Full-range with sparse anchors (192x192 input)"/>