Refactor geometry generation to standardize Blender object coordinates
- Unified the canonical local frame for generated geometries (Plane, Depth Plane, Relief Plane, Cutout, Depth Cutout) to align with Blender's object coordinate system, setting X as horizontal, Z as up, and +Y as depth. - Removed the `Depth Axis` parameter from `O Image Cutout` and `O Image Depth Cutout`, simplifying the geometry generation process. - Updated the depth direction defaults to use +Y instead of -Z for `O Image Relief Plane` and Depth Symmetry. - Adjusted the geometry nodes to ensure thickness, projection, and shell displacements operate along the Y-axis. - Implemented new capabilities for handling object space normals to align with the new canonical frame. - Enhanced the Depth Symmetry functionality to mirror across the canonical Y-axis and perform a final rotation to maintain the correct orientation. - Added tests to validate the new coordinate system and ensure compatibility with existing assets.
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@@ -48,7 +48,7 @@ def test_mesh_density_survives_resolution_and_canvas_changes(fine_outline):
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assert max(counts) / min(counts) < 1.05
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for mesh in meshes:
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assert np.isfinite(mesh.vertices).all()
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np.testing.assert_allclose(np.ptp(mesh.vertices[:, :2], axis=0), (1, 1), atol=0.03)
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np.testing.assert_allclose(np.ptp(mesh.vertices[:, [0, 2]], axis=0), (1, 1), atol=0.03)
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@pytest.mark.parametrize("fine_outline", (False, True))
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@@ -60,7 +60,7 @@ def test_world_scaling_adds_samples_and_rotation_preserves_density(fine_outline)
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source = source_plane(matrix=matrix)
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mesh = g.build_base_shape(bpy.context, source, 0.1, alpha, (0, 0, 100, 100), fine_outline=fine_outline)
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counts.append(len(mesh.vertices))
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planar = mesh.vertices[:, :2] @ g.metric_transform(g.world_plane_metric(matrix)[0])
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planar = mesh.vertices[:, [0, 2]] @ g.metric_transform(g.world_plane_metric(matrix)[0])
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edges = np.unique(np.sort(np.concatenate([mesh.faces[:, [0, 1]], mesh.faces[:, [1, 2]], mesh.faces[:, [2, 0]]]), axis=1), axis=0)
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lengths = np.linalg.norm(planar[edges[:, 0]] - planar[edges[:, 1]], axis=1)
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assert 0.06 < np.median(lengths) < 0.14
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