Add new functionality for image rectification and depth metadata handling

- Implemented a preview tool for rectifying images with interactive aspect controls in `preview.py`.
- Added tests for depth metadata loading to ensure consistent schema usage in `test_depth_metadata.py`.
- Developed comprehensive tests for cutout calibration processes in `test_cutout_calibration.py`, including stability checks and depth calibration.
- Created tests for frame compositing operations in `test_frame_compositing.py`, ensuring correct handling of depth and transparency.
- Introduced material slot inheritance functionality in `material_slots.py` to manage geometry material assignments.
- Built shared shader nodes for material processing in `shader.py`, including roughness and bump mapping setups.

tests/anyimage/operators/test_ai_setup.py

@@ -2,11 +2,43 @@ import importlib
 import tempfile
 from pathlib import Path
 from types import SimpleNamespace
-from unittest.mock import patch
+from unittest.mock import Mock, patch
 from tests.support.blender import BlenderTestCase
 
 
 class AiSetupTest(BlenderTestCase):
+    def test_setup_dialog_uses_install_title_and_button(self):
+        show_dialog = Mock(return_value={"RUNNING_MODAL"})
+        context = SimpleNamespace(
+            window_manager=SimpleNamespace(invoke_props_dialog=show_dialog)
+        )
+        operator = self.ai_setup.SetupAIEnvironment()
+
+        self.assertEqual(operator.invoke(context, None), {"RUNNING_MODAL"})
+        show_dialog.assert_called_once_with(
+            operator, width=440, title="Set Up AI", confirm_text="Install"
+        )
+
+    def test_setup_dialog_shows_install_summary_and_mirror_option(self):
+        labels = []
+        properties = []
+        operator = self.ai_setup.SetupAIEnvironment()
+        operator.layout = SimpleNamespace(
+            label=lambda **kwargs: labels.append(kwargs["text"]),
+            separator=lambda **_kwargs: None,
+            prop=lambda _owner, name: properties.append(name),
+        )
+        with patch.object(
+            self.ai_setup, "ai_status", return_value={"environment_ready": False}
+        ):
+            operator.draw(None)
+
+        self.assertEqual(labels, [
+            "Set up AI features for depth, background removal and upscaling.",
+            "Downloads the runtime and required models (259 MB for models).",
+        ])
+        self.assertEqual(properties, ["use_mirror"])
+
     def test_runtime_exposes_declared_environment_and_post_install(self):
         runtime = self.anyimage.runtime
         self.assertEqual(runtime.environment["python"], "3.12")