feat: Implement weight cutout boundary smoothing for image depth cutout

- Added a new proposal for boundary smoothing in the weight cutout process, differentiating between Split edges and Outline smoothing requirements.
- Introduced a new capability `cutout-boundary-smoothing` to control smoothing strength and default values.
- Updated specifications to define the behavior of boundary-specific smoothing strength and default settings.
- Created tasks to verify the implementation of boundary behavior and asset updates.
- Developed comprehensive tests for depth symmetry and normal scaling to ensure expected behavior and performance.
- Introduced new attributes for normal mapping to facilitate persistent face attributes sharing between depth symmetry and image materials.
- Built a new node group for O Image Depth Symmetry, integrating the new smoothing capabilities and ensuring compatibility with existing workflows.

src/anyimage/operators/cutout_tool/depth_calibration.py

@@ -1,4 +1,4 @@
-"""Calibrate metric reference depth and the Depth Balloon base plane."""
+"""Calibrate metric reference depth and the Depth Symmetry base plane."""
 
 PLANE_VARIANCE_FLOOR_RATIO = 0.025
 DEPTH_REFERENCE_PERCENTILE = 95.0
@@ -122,7 +122,7 @@ def _stable_plane(coordinates, values):
     return plane
 
 
-def depth_balloon_projection_parameters(
+def depth_symmetry_projection_parameters(
     vertices,
     vertex_uv,
     camera_depth,
@@ -135,15 +135,15 @@ def depth_balloon_projection_parameters(
     vertices = np.asarray(vertices, dtype=np.float32)
     uv = np.asarray(vertex_uv, dtype=np.float32)
     if vertices.ndim != 2 or vertices.shape[1] != 3:
-        raise ValueError("Depth Balloon vertices must have three components")
+        raise ValueError("Depth Symmetry vertices must have three components")
     if uv.shape != (len(vertices), 2):
-        raise ValueError("Depth Balloon UV coordinates do not match its vertices")
+        raise ValueError("Depth Symmetry UV coordinates do not match its vertices")
     camera_depth = np.asarray(camera_depth, dtype=np.float32)
     valid = np.asarray(valid, dtype=bool)
     if valid.shape != camera_depth.shape:
-        raise ValueError("Depth Balloon depth and mask dimensions do not match")
+        raise ValueError("Depth Symmetry depth and mask dimensions do not match")
     if not uniform_scale > 0.0:
-        raise ValueError("Depth Balloon Uniform Scale must be positive")
+        raise ValueError("Depth Symmetry Uniform Scale must be positive")
     height, width = camera_depth.shape
     sample_x = uv[:, 0] * max(width - 1, 0)
     sample_y = (1.0 - uv[:, 1]) * max(height - 1, 0)
@@ -155,7 +155,7 @@ def depth_balloon_projection_parameters(
         sample_y,
     )
     if not usable.any():
-        raise ValueError("MoGe-2 found no valid Depth Balloon samples")
+        raise ValueError("MoGe-2 found no valid Depth Symmetry samples")
     local_coordinates = vertices[:, :2]
     metric_depth = sampled[usable] * float(uniform_scale)
     plane = _stable_plane(local_coordinates[usable], metric_depth)