nan
4035f5c9e4
- 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.
112 lines
3.4 KiB
Python
112 lines
3.4 KiB
Python
"""Behavior checks for face separation and connected Depth Surface shells."""
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from collections import Counter
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import bpy
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import numpy as np
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from tests.support.nodes import CUTOUT_BUILDERS
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def surface(*, step=6.0, size=1.0, resolution=2, wrapper=False):
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bpy.ops.wm.read_factory_settings(use_empty=True)
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group = CUTOUT_BUILDERS["DEPTH_SOLID"]()
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# Two columns with a complete depth jump along their common boundary.
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points = [
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(x * size / resolution, 0, y * size / resolution)
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for y in range(resolution + 1)
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for x in range(2 * resolution + 1)
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]
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stride = 2 * resolution + 1
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faces = [
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(
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y * stride + x,
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y * stride + x + 1,
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(y + 1) * stride + x + 1,
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(y + 1) * stride + x,
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)
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for y in range(resolution)
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for x in range(2 * resolution)
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]
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mesh = bpy.data.meshes.new("Step")
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mesh.from_pydata(points, [], faces)
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uv = mesh.uv_layers.new(name="UVMap")
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for loop in mesh.loops:
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x, _y, z = points[loop.vertex_index]
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uv.data[loop.index].uv = (x / (2 * size), z / size)
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obj = bpy.data.objects.new("Step", mesh)
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bpy.context.collection.objects.link(obj)
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image = bpy.data.images.new("Camera", width=64, height=32, float_buffer=True)
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image.colorspace_settings.name = "Non-Color"
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image.alpha_mode = "CHANNEL_PACKED"
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yy, xx = np.mgrid[:32, :64]
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pixels = np.ones((32, 64, 4), np.float32)
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pixels[..., 0] = (xx + 0.5) / 32
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pixels[..., 1] = -(yy + 0.5) / 32
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pixels[..., 2] = 1 + (xx >= 32) * step
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image.pixels.foreach_set(pixels.ravel())
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modifier = obj.modifiers.new("Depth Surface", "NODES")
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modifier.node_group = group
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inputs = {
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s.name: s.identifier
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for s in group.interface.items_tree
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if s.item_type == "SOCKET" and s.in_out == "INPUT"
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}
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def set_value(name, value):
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modifier[inputs[name]] = value
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obj.update_tag(refresh={"DATA"})
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bpy.context.view_layer.update()
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for name, value in (
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("Depth Image", image),
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("Uniform Scale", size),
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("Reference Depth", size * (1 + step / 2)),
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("Depth Scale", 1.0),
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("Thickness", 0.0),
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("Front Inflation", 0.0),
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("Depth Split", 0.0),
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("Mode", 1),
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("Boundary Smooth", 0),
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):
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set_value(name, value)
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if wrapper:
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set_value("Cleanup Threshold", 0.0)
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return obj, set_value
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def evaluated(obj):
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result = obj.evaluated_get(bpy.context.evaluated_depsgraph_get())
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mesh = result.to_mesh()
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try:
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return np.array([v.co[:] for v in mesh.vertices]), [
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tuple(p.vertices) for p in mesh.polygons
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]
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finally:
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result.to_mesh_clear()
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def assert_closed(faces):
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edges = Counter(
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tuple(sorted((a, b))) for f in faces for a, b in zip(f, (*f[1:], f[0]))
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)
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assert edges and set(edges.values()) == {2}, Counter(edges.values())
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def component_count(faces):
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adjacency = {}
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for face in faces:
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for a, b in zip(face, (*face[1:], face[0])):
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adjacency.setdefault(a, set()).add(b)
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adjacency.setdefault(b, set()).add(a)
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remaining = set(adjacency)
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count = 0
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while remaining:
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count += 1
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pending = [remaining.pop()]
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while pending:
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for neighbor in adjacency[pending.pop()] & remaining:
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remaining.remove(neighbor)
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pending.append(neighbor)
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return count
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