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.
This commit is contained in:
2026-09-15 00:40:24 +08:00
parent ab282e4fdf
commit 591e62085a
93 changed files with 1915 additions and 2851 deletions

View File

@@ -125,7 +125,17 @@ def test_effective_length_report_and_geometry_share_value():
patch.object(operators, "build_base_shape") as build, \
patch.object(operators, "create_shape_object") as create, \
patch.object(operators.bpy.ops.ed, "undo_push", return_value={"FINISHED"}):
operators.create_cutout_shape(context, object(), "FLAT", 10, np.ones((10, 10)), (0, 0, 10, 10), color_image=object(), report=report)
operators.create_cutout_shape(
context,
object(),
"FLAT",
10,
np.ones((10, 10)),
(0, 0, 10, 10),
boundary_padding=0.0,
color_image=object(),
report=report,
)
assert build.call_args.args[2] == 20
assert create.call_args.args[3] == 20
assert report.call_args.args[0] == {"INFO"}