feat(cutout): implement boundary padding for cutout textures

- Introduced a new `Boundary Padding` preference in the Cutout Tool with a default of 2 px and a configurable range of 1-4 px.
- Updated the Cutout client to establish inward mapping from the final Mask, sampling in a fixed direction and processing independent material RGBA and Depth.
- Enhanced the handling of RGBA and Depth during cutout operations, ensuring proper mapping and preservation of source data.
- Added tests to validate the new boundary padding functionality and its integration with existing cutout processes.

feat(geometry): remove overall mesh smoothing from geometry nodes

- Removed the `Smooth` input from several geometry node groups to eliminate unnecessary overall mesh smoothing.
- Retained `Smooth Weight` for depth nodes while removing it from Cutout and Relief Plane nodes.
- Ensured that boundary, normal, and fill smoothing behaviors remain intact and consistent.
- Updated tests and documentation to reflect the changes in node interfaces and behaviors.

feat(normals): scale tangent normals with depth

- Reused the existing `o_normal_reduction` attribute to adjust Tangent Normal strength based on the geometry's `Depth Scale`.
- Ensured that Tangent Normal strength is consistent with the geometry depth, preserving full strength for materials that do not provide the attribute.
- Updated tests to verify the correct behavior of normal strength adjustments in both Tangent and Object Space.

tests/anyimage/operators/test_cutout_calibration.py

@@ -3,7 +3,7 @@ from types import SimpleNamespace
 import numpy as np
 
 from anyimage.common.selection import SelectionMask
-from anyimage.common.depth import depth_uniform_scale
+from anyimage.common.depth import depth_uniform_scale, fit_depth_direction
 from anyimage.operators.cutout_tool import geometry as cutout_geometry
 from anyimage.operators.cutout_tool import depth_calibration
 
@@ -19,10 +19,16 @@ def test_base_plane_fit_is_stable_for_a_slender_diagonal_domain():
     )
     values = 0.4 * along + np.sign(across) * 0.05
 
-    plane = depth_calibration._stable_plane(coordinates, values)
-    selected_plane = coordinates @ plane[:2] + plane[2]
+    direction = fit_depth_direction(
+        coordinates,
+        values + 2.0,
+        np.ones(len(values), dtype=bool),
+        1.0,
+    )
+    slopes = np.asarray(direction[:2]) / direction[2]
+    selected_plane = coordinates @ slopes
     corners = np.asarray(((-1.0, -1.0), (-1.0, 1.0), (1.0, -1.0), (1.0, 1.0)))
-    corner_plane = corners @ plane[:2] + plane[2]
+    corner_plane = corners @ slopes
 
     assert np.ptp(corner_plane) <= np.ptp(selected_plane) * 1.25
     assert np.corrcoef(selected_plane, along)[0, 1] > 0.99