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.

tests/test_worker.py

@@ -927,6 +927,13 @@ class WorkerTest(unittest.TestCase):
                 self.assertEqual(result.mode, "RGBA")
                 self.assertEqual(result.size, (20, 12))
                 alpha = np.asarray(result.getchannel("A"))
+                expected_alpha = np.asarray(
+                    Image.fromarray(pixels[:, :, 3], mode="L").resize(
+                        result.size,
+                        Image.Resampling.LANCZOS,
+                    )
+                )
+                np.testing.assert_array_equal(alpha, expected_alpha)
                 self.assertLess(
                     int(alpha[:, 0].max()),
                     int(alpha[:, -1].min()),