From d182c752d4625dd3be4606fd8ce8a03911ed28ac Mon Sep 17 00:00:00 2001
From: debuggerx <debuggerx@localhost>
Date: Fri, 16 Jan 2026 14:01:37 +0800
Subject: [PATCH] AI-Otter 2 Feature Drop | 2025.2.2 Patch 1
 <debuggerx@debuggerx-PC Update yiiguxing.translation.xml

---
 yiiguxing.translation.xml | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/yiiguxing.translation.xml b/yiiguxing.translation.xml
index ac2e054..e286930 100644
--- a/yiiguxing.translation.xml
+++ b/yiiguxing.translation.xml
@@ -22,6 +22,10 @@
     <option name="translationDialogLocationY" value="567" />
     <option name="translationDialogWidth" value="1381" />
     <histories>
+      <item value="The bytes represent encoded image bytes and can be encoded in any of the following supported image formats: {@macro dart.ui.imageFormats}" />
+      <item value="The image to display. Since a [RawImage] is stateless, it does not ever dispose this image. Creators of a [RawImage] are expected to call [dart:ui.Image.dispose] on this image handle when the [RawImage] will no longer be needed." />
+      <item value="When running Flutter on the web, only the CanvasKit renderer supports image resizing capabilities (not the HTML renderer). So if image resizing is critical to your use case, and you're deploying to the web, you should build using the CanvasKit renderer." />
+      <item value="The [getTargetSize] parameter, when specified, will be invoked and passed the image's intrinsic size to determine the size to decode the image to. The width and the height of the size it returns must be positive values greater than or equal to 1, or null. It is valid to return a [TargetImageSize] that specifies only one of `width` and `height` with the other remaining null, in which case the omitted dimension will be scaled to maintain the aspect ratio of the original dimensions. When both are null or omitted, the image will be decoded at its native resolution (as will be the case if the [getTargetSize] parameter is omitted)." />
       <item value="{@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}" />
       <item value="MinFontSize must be a multiple of stepGranularity" />
       <item value="type RESUME AND SKIP CUR ACTION" />
@@ -68,10 +72,6 @@
       <item value="Raw straight RGBA format. Unencoded bytes, in RGBA row-primary form with straight alpha, 8 bits per channel." />
       <item value="Raw RGBA format. Unencoded bytes, in RGBA row-primary form with premultiplied alpha, 8 bits per channel." />
       <item value="This combines [decodeImage] and [registerFrame] into a single operation that avoids transferring RGB data back to the main isolate. The image is decoded and stored in the worker, returning only the frameId and dimensions." />
-      <item value="Decodes and registers an image in one operation (optimized fast-path)." />
-      <item value="The [imageBytes] parameter should contain encoded image data (JPEG, PNG, etc.)." />
-      <item value="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)" />
-      <item value="judge motion and emoticon" />
     </histories>
     <option name="languageScores">
       <map>