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.

src/anyimage/menu.py

@@ -1,6 +1,7 @@
 import bpy
 
-from .operators.common.image import is_image_empty
+from .operators.common.image_data import is_image_empty
+from .operators.upscale import upscale_output_size
 
 
 class AnyImageImageMenu(bpy.types.Menu):
@@ -53,11 +54,10 @@ def upscale_menu_label(context):
     source_object = getattr(context, "object", None)
     if not is_image_empty(source_object):
         return "Upscale"
-    width, height = (
-        int(value) for value in getattr(source_object.data, "size", (0, 0))
-    )
-    if width <= 0 or height <= 0:
+    output_size = upscale_output_size(source_object.data)
+    if output_size is None:
         return "Upscale"
+    width, height = output_size
     return f"Upscale ({width} × {height})"