nan
4c902ed7db
- Implemented `image_plane.py` to build the Image Plane Geometry Nodes group with customizable parameters for geometry, subdivide, and thickness. - Created `image_plane_validation.py` to validate the functionality of the image plane, ensuring correct geometry generation and material assignment. - Developed `material_layers.py` to construct shader node groups for image materials, including depth and normal handling. - Authored `plane_layouts.py` to define node arrangements for image geometry assets. - Introduced `shadeless.py` to create a shadeless shader node group that displays color without scene lighting while preserving shadows and reflections.
122 lines
3.6 KiB
Python
122 lines
3.6 KiB
Python
"""Behavior checks for face separation and connected Depth Surface shells."""
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import sys
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from pathlib import Path
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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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ROOT = Path(__file__).parents[1]
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sys.path.insert(0, str(ROOT / "src"))
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sys.path.insert(0, str(ROOT / "tools" / "node_assets"))
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from cutout import build_cutout_group
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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 = build_cutout_group("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, y * size / resolution, 0)
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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, _ = points[loop.vertex_index]
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uv.data[loop.index].uv = (x / (2 * size), y / 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),
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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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("Split Threshold", 0.0),
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("Mode", 1),
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("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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set_value("Inward Axis", 0)
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set_value("Smooth", 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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