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.
This commit is contained in:
2026-09-14 12:44:20 +08:00
parent 09778c4b48
commit dc000e50b1
53 changed files with 1350 additions and 364 deletions

View File

@@ -28,7 +28,7 @@ def test_base_plane_fit_is_stable_for_a_slender_diagonal_domain():
assert np.corrcoef(selected_plane, along)[0, 1] > 0.99
def test_depth_balloon_plane_calibration_matches_cutout_axes():
def test_depth_symmetry_plane_calibration_matches_cutout_axes():
vertices = []
uv = []
camera_depth = np.empty((3, 3), dtype=np.float32)
@@ -40,7 +40,7 @@ def test_depth_balloon_plane_calibration_matches_cutout_axes():
uv.append((column * 0.5, 1.0 - row * 0.5))
camera_depth[row, column] = 2.0 + 0.2 * local_x + 0.1 * local_y
reference, direction = depth_calibration.depth_balloon_projection_parameters(
reference, direction = depth_calibration.depth_symmetry_projection_parameters(
vertices,
uv,
camera_depth,
@@ -58,7 +58,7 @@ def test_depth_balloon_plane_calibration_matches_cutout_axes():
assert np.allclose(direction, expected_direction, atol=1e-6)
def test_depth_balloon_reference_uses_the_shared_upper_depth_percentile():
def test_depth_symmetry_reference_uses_the_shared_upper_depth_percentile():
size = 10
row, column = np.indices((size, size))
camera_depth = np.full((size, size), 2.0, dtype=np.float32)
@@ -70,7 +70,7 @@ def test_depth_balloon_reference_uses_the_shared_upper_depth_percentile():
vertices.append((float(x), float(size - 1 - y), 0.0))
uv.append((x / (size - 1), 1.0 - y / (size - 1)))
reference, direction = depth_calibration.depth_balloon_projection_parameters(
reference, direction = depth_calibration.depth_symmetry_projection_parameters(
vertices,
uv,
camera_depth,