feat: Implement cutout tool and depth generation features

- Added a new cutout tool for selecting regions in images, allowing users to choose mesh shapes based on selected areas.
- Introduced depth generation capabilities for rasterized images, including normal data extraction.
- Created jobs for generating depth planes and region data, enhancing the AI data generation workflow.
- Developed a selection refinement process for cutout regions, improving accuracy in generated outputs.
- Established a new region module for handling rasterized image regions and their associated AI generation tasks.
- Enhanced node graph builders for asset generation, facilitating smoother integration of new features.

docs/internals/operators/remove-background.md

@@ -8,7 +8,7 @@
 src/anyimage/
 ├── operators/
 │   ├── remove_background.py       # Blender 入口、任务参数与结果替换
-│   └── common/image.py            # 媒体输入准备与结果 Image 创建
+│   └── common/image_data.py            # 媒体输入准备与结果 Image 创建
 └── server/
     ├── jobs/remove_background.py  # 单图与多帧任务编排
     └── models/ben2.py             # BEN2 前景适配
@@ -28,4 +28,4 @@ flowchart TD
 
 Packed 图片或内存中修改过的单图会先导出为临时输入；文件图片、视频和序列则沿用可读取的源路径。多帧输入由统一媒体层展开，结果保持连续帧命名，导入后继续沿用源 Image User 的帧起点、偏移与循环设置。
 
-BEN2 推理前使用输入 Alpha 屏蔽透明区域，模型输出的前景 Alpha 再与源 Alpha 合成，RGB 保持为源图内容。响应阶段只替换当前 Empty 的 Image 数据；当旧 Image 没有其他用户和 Fake User 时，旧数据块会被清理并由结果继承名称。
+BEN2 推理前使用输入 Alpha 屏蔽透明区域，模型输出的前景 Alpha 再与源 Alpha 合成，RGB 保持为源图内容。响应阶段通过公共 Image Empty 替换入口导入结果；当旧 Image 没有其他用户和 Fake User 时，旧数据块会被清理并由结果继承名称。