nan
5b2dc59f79
- Introduced `frames.py` to manage field complex calculations and their arrangement within node groups. - Added functionality to create and remove field frames based on node arrangements. - Developed `passages.py` to find unobstructed paths for connections around calculation frames. - Implemented `references.py` to route shared results on peripheral tracks, ensuring efficient distribution of outputs. - Created `sections.py` to reserve space for field calculations adjacent to geometry consumers. - Added `sources.py` to position shared calculation sources effectively beside their distribution channels. - Enhanced outline smoothing with `outline_smoothing.py` to adapt camera depth along original outlines.
339 lines
15 KiB
Python
339 lines
15 KiB
Python
"""Verify pinned-boundary smoothing stays within its fixed edge band."""
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from collections import Counter
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import bpy
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import bmesh
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import numpy as np
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import pytest
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from tests.support.depth_surface import surface, evaluated, assert_closed, component_count
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def diagonal_surface(triangles=False):
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obj, set_value = surface(resolution=16)
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if triangles:
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mesh = bmesh.new()
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mesh.from_mesh(obj.data)
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bmesh.ops.triangulate(mesh, faces=list(mesh.faces))
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mesh.to_mesh(obj.data)
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mesh.free()
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image = bpy.data.images["Camera"]
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pixels = np.array(image.pixels[:], np.float32).reshape(32, 64, 4)
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yy, xx = np.mgrid[:32, :64]
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pixels[..., 2] = 1 + (xx > 18 + yy * 0.7) * 6
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image.pixels.foreach_set(pixels.ravel())
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image.update()
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set_value("Split Threshold", 0.5)
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set_value("Depth Scale", 0)
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return obj, set_value
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def boundary_neighbors(faces):
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edges = Counter(tuple(sorted((a, b))) for face in faces for a, b in zip(face, (*face[1:], face[0])))
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neighbors = {}
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for (a, b), count in edges.items():
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if count == 1:
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neighbors.setdefault(a, []).append(b)
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neighbors.setdefault(b, []).append(a)
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return neighbors
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def edge_band(faces, seeds, rings=2):
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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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selected = set(seeds)
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for _ in range(rings):
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selected |= {neighbor for vertex in selected for neighbor in adjacency[vertex]}
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return selected
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@pytest.mark.parametrize("triangles", [False, True])
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def test_smoothing_reduces_stairs_without_leaving_two_ring_band(triangles):
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obj, set_value = diagonal_surface(triangles)
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original, faces = evaluated(obj)
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boundary = boundary_neighbors(faces)
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outer = np.isclose(original[:, 0], 0) | np.isclose(original[:, 0], 2)
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outer |= np.isclose(original[:, 1], 0) | np.isclose(original[:, 1], 1)
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cut = {i for i in boundary if not outer[i]}
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band = edge_band(faces, boundary)
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movable = np.array([i in band for i in range(len(original))])
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assert movable.any() and (~movable).any()
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set_value("Boundary Smooth", 20)
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smoothed, result_faces = evaluated(obj)
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assert result_faces == faces
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np.testing.assert_array_equal(smoothed[~movable], original[~movable])
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assert np.max(np.linalg.norm(smoothed - original, axis=1)) > 0.005
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nearby = [i for i in band if i not in boundary and not outer[i]]
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assert np.max(np.linalg.norm(smoothed[nearby] - original[nearby], axis=1)) > 1e-4
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before, after = [], []
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for i in cut:
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adjacent = boundary[i]
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if len(adjacent) != 2:
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continue
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before.append(np.linalg.norm(original[adjacent].mean(axis=0) - original[i]))
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after.append(np.linalg.norm(smoothed[adjacent].mean(axis=0) - smoothed[i]))
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assert sum(after) < 0.8 * sum(before)
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np.testing.assert_array_equal(smoothed[:, 2], original[:, 2])
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set_value("Smooth Weight", 0)
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np.testing.assert_array_equal(evaluated(obj)[0], original)
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set_value("Smooth Weight", 1)
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set_value("Boundary Smooth", 0)
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np.testing.assert_array_equal(evaluated(obj)[0], original)
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@pytest.mark.parametrize("source", ["definition", "asset"])
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def test_smoothing_without_split_moves_original_boundary_only_within_band(source):
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obj, set_value = diagonal_surface()
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if source == "asset":
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from anyimage.common.node import node_asset_path
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with bpy.data.libraries.load(str(node_asset_path())) as (_, target):
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target.node_groups = ["O Image Depth Cutout"]
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obj.modifiers[0].node_group = target.node_groups[0]
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set_value("Split Threshold", 0)
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original, faces = evaluated(obj)
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set_value("Boundary Smooth", 20)
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result, result_faces = evaluated(obj)
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boundary = boundary_neighbors(faces)
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band = edge_band(faces, boundary)
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outside = [i for i in range(len(original)) if i not in band]
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assert np.max(np.linalg.norm(result[list(boundary)] - original[list(boundary)], axis=1)) > 1e-4
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np.testing.assert_array_equal(result[outside], original[outside])
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assert result_faces == faces
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@pytest.mark.parametrize("mode", [0, 1])
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def test_smoothed_cut_shells_stay_closed_and_separate(mode):
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from anyimage.common.object import modifier_input_identifier, set_modifier_input
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obj, set_value = diagonal_surface()
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obj.data.attributes.new("o_balloon", "FLOAT", "POINT").data.foreach_set(
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"value", np.full(len(obj.data.vertices), 0.3, dtype=np.float32)
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)
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set_value("Depth Scale", 1)
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set_value("Boundary Smooth", 4)
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original, faces = evaluated(obj)
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count = component_count(faces)
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set_value("Mode", mode)
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modifier = obj.modifiers[0]
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identifier = modifier_input_identifier(modifier.node_group, "Thickness", subtype="NONE" if mode == 0 else "DISTANCE")
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set_modifier_input(modifier, identifier, 0.05)
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obj.update_tag(refresh={"DATA"})
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bpy.context.view_layer.update()
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result, shell_faces = evaluated(obj)
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assert np.isfinite(result).all()
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assert_closed(shell_faces)
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assert component_count(shell_faces) == count
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def test_panorama_smoothing_preserves_interior_and_uvs():
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from tests.tools.nodes.test_image_depth_panorama import panorama, evaluated as panorama_mesh
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yy, xx = np.mgrid[:64, :128]
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depth = np.where(xx > 35 + yy * 0.6, 8.0, 2.0)
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obj, set_value = panorama(depth, subdivide=4)
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set_value("Split Threshold", 0.5)
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original, faces, uv = panorama_mesh(obj)
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rim = boundary_neighbors(faces)
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band = edge_band(faces, rim)
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interior = [i for i in range(len(original)) if i not in band]
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set_value("Boundary Smooth", 4)
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result, result_faces, result_uv = panorama_mesh(obj)
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assert np.isfinite(result).all()
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assert result_faces == faces
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np.testing.assert_array_equal(result[interior], original[interior])
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np.testing.assert_array_equal(result_uv, uv)
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assert np.max(np.linalg.norm(result-original, axis=1)) > 1e-4
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@pytest.mark.parametrize("source", ["definition", "asset"])
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def test_plane_edge_smoothing_preserves_uvs_and_closes_thickness(source):
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from tests.support.planes import create_surface, evaluated as plane_mesh
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obj, set_value, _, inputs, image = create_surface(source, "DEPTH")
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assert inputs["Boundary Smooth"].default_value == 2
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assert inputs["Boundary Smooth"].parent.name == "Options"
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pixels = np.array(image.pixels[:], np.float32).reshape(8, 16, 4)
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yy, xx = np.mgrid[:8, :16]
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pixels[..., 2] = 1 + (xx > 5 + yy * 0.7) * 6
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image.pixels.foreach_set(pixels.ravel())
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image.update()
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set_value("Subdivide", 5)
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set_value("Depth Scale", 1)
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set_value("Split Threshold", 0.5)
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original, faces, uv, *_ = plane_mesh(obj)
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set_value("Boundary Smooth", 4)
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result, result_faces, result_uv, *_ = plane_mesh(obj)
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assert result_faces == faces
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np.testing.assert_array_equal(result_uv, uv)
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assert np.max(np.linalg.norm(result-original, axis=1)) > 1e-4
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set_value("Thickness", 0.03)
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assert_closed(plane_mesh(obj)[1])
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def test_edge_iterations_reuse_boundary_topology_and_mapping():
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from tools.nodes.arrangement.flow import origin_socket
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from tools.nodes.arrangement.zones import node_zones
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obj, _ = diagonal_surface()
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group = obj.modifiers[0].node_group
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entry, _, members = next(
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zone for zone in node_zones(group)
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if origin_socket(zone[0].inputs["Iterations"].links[0].from_socket).name == "Boundary Smooth"
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)
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nearest = next(node for node in group.nodes if node.bl_idname == "GeometryNodeSampleNearest"
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and any(link.to_node in members for link in node.outputs["Index"].links))
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fixed_position = origin_socket(nearest.inputs["Sample Position"].links[0].from_socket).node
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assert fixed_position.bl_idname == "GeometryNodeSampleIndex"
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source = origin_socket(entry.inputs["Geometry"].links[0].from_socket)
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assert origin_socket(fixed_position.inputs["Geometry"].links[0].from_socket) == source
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assert fixed_position.domain == "POINT"
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assert any(node.bl_idname == "GeometryNodeSeparateGeometry" for node in members)
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@pytest.mark.parametrize("source", ["definition", "asset"])
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def test_every_split_node_enables_boundary_smoothing_by_default(source):
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from tools.nodes.build import OUTPUT_PATH, build_node_groups
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from tools.nodes.arrangement.flow import origin_socket
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bpy.ops.wm.read_factory_settings(use_empty=True)
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if source == "definition":
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groups = build_node_groups()
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else:
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with bpy.data.libraries.load(str(OUTPUT_PATH)) as (library, target):
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target.node_groups = list(library.node_groups)
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groups = target.node_groups
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split_groups = []
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for group in groups:
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inputs = {item.name: item for item in group.interface.items_tree
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if item.item_type == "SOCKET" and item.in_out == "INPUT"}
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assert "Edge Smooth" not in inputs
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if "Split Threshold" not in inputs:
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continue
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split_groups.append(group.name)
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smooth = inputs["Boundary Smooth"]
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assert smooth.default_value == (5 if group.name == "O Image Depth Panorama" else 2)
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assert (smooth.min_value, smooth.max_value) == (1 if "Outline Depth Fix" in inputs else 0, 20)
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assert smooth.parent.name == "Options"
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assert not {"Depth Blur Iterations", "Depth Band Rings", "Depth Blur Strength", "Skip Inactive Geometry"} & inputs.keys()
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depth_blurs = [n for n in group.nodes if n.bl_idname == "GeometryNodeBlurAttribute"
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and n.data_type == "FLOAT" and n.inputs["Iterations"].is_linked
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and origin_socket(n.inputs["Iterations"].links[0].from_socket).name == "Boundary Smooth"]
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assert len(depth_blurs) == 1
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if "Outline Depth Fix" in inputs:
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assert inputs["Outline Depth Fix"].default_value == 16
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assert origin_socket(depth_blurs[0].inputs["Weight"].links[0].from_socket).node.bl_idname == "GeometryNodeSampleIndex"
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continue
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depth_bypass = [n for n in group.nodes if n.bl_idname == "GeometryNodeSwitch"
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and n.input_type == "FLOAT" and n.inputs["Switch"].is_linked
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and origin_socket(n.inputs["Switch"].links[0].from_socket).name == "Boundary Smooth"]
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assert len(depth_bypass) == 1
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assert set(split_groups) == {
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"O Image Depth Plane", "O Image Depth Cutout", "O Image Depth Panorama",
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}
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@pytest.mark.parametrize("source", ["definition", "asset"])
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def test_validity_cut_smoothing_preserves_original_outline_and_interior(source):
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from tests.support.planes import create_surface, evaluated as plane_mesh
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obj, set_value, _, _, image = create_surface(source, "DEPTH")
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set_value("Subdivide", 5)
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set_value("Split Threshold", 0)
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set_value("Valid Only", False)
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whole = plane_mesh(obj)[0]
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low, high = whole.min(axis=0), whole.max(axis=0)
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pixels = np.array(image.pixels[:], np.float32).reshape(8, 16, 4)
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yy, xx = np.mgrid[:8, :16]
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pixels[..., 3] = xx < 5 + yy * 0.7
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image.pixels.foreach_set(pixels.ravel())
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image.update()
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set_value("Valid Only", True)
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before, faces, uv, *_ = plane_mesh(obj)
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boundary = boundary_neighbors(faces)
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outer = np.any(np.isclose(before[:, :2], low[:2]) | np.isclose(before[:, :2], high[:2]), axis=1)
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cut = {i for i in boundary if not outer[i]}
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band = edge_band(faces, cut)
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fixed = np.array([i not in band or outer[i] for i in range(len(before))])
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set_value("Boundary Smooth", 5)
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after, result_faces, result_uv, *_ = plane_mesh(obj)
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assert result_faces == faces
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np.testing.assert_array_equal(result_uv, uv)
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np.testing.assert_array_equal(after[fixed], before[fixed])
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assert np.max(np.linalg.norm(after-before, axis=1)) > 1e-4
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before_bends, after_bends = [], []
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for i in cut:
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if len(boundary[i]) == 2:
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before_bends.append(np.linalg.norm(before[boundary[i]].mean(axis=0)-before[i]))
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after_bends.append(np.linalg.norm(after[boundary[i]].mean(axis=0)-after[i]))
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assert sum(after_bends) < sum(before_bends) * 0.8
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set_value("Thickness", 0.03)
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assert_closed(plane_mesh(obj)[1])
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set_value("Thickness", 0)
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set_value("Valid Only", False)
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np.testing.assert_array_equal(plane_mesh(obj)[0], whole)
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def test_panorama_validity_cut_smoothing_stays_in_two_ring_band():
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from tests.tools.nodes.test_image_depth_panorama import panorama, evaluated as panorama_mesh
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yy, xx = np.mgrid[:64, :128]
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alpha = ((xx-64)**2 + (yy-32)**2 > 15**2).astype(np.float32)
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obj, set_value = panorama(np.full((64, 128), 3), alpha, subdivide=4)
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set_value("Split Threshold", 0)
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before, faces, uv = panorama_mesh(obj)
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band = edge_band(faces, boundary_neighbors(faces))
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outside = [i for i in range(len(before)) if i not in band]
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set_value("Boundary Smooth", 5)
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after, result_faces, result_uv = panorama_mesh(obj)
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assert result_faces == faces
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np.testing.assert_array_equal(result_uv, uv)
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np.testing.assert_array_equal(after[outside], before[outside])
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assert np.max(np.linalg.norm(after-before, axis=1)) > 1e-4
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@pytest.mark.parametrize("source", ["definition", "asset"])
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@pytest.mark.parametrize("kind", ["cutout", "plane", "panorama"])
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@pytest.mark.parametrize("iterations,weight", [(0, 1.0), (8, 1.0), (8, 0.0)])
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def test_boundary_loop_bypass_uses_iterations_only(source, kind, iterations, weight):
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from anyimage.common.node import node_asset_path
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from tests.support.planes import create_surface
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from tests.tools.nodes.test_image_depth_panorama import panorama
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from tools.nodes.arrangement.flow import origin_socket
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if kind == "cutout":
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obj, set_value = surface(resolution=4)
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elif kind == "plane":
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obj, set_value, *_ = create_surface("definition", "DEPTH")
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else:
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obj, set_value = panorama(subdivide=2)
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if source == "asset":
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with bpy.data.libraries.load(str(node_asset_path())) as (_, target):
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target.node_groups = [obj.modifiers[0].node_group.name]
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obj.modifiers[0].node_group = target.node_groups[0].copy()
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set_value("Split Threshold", 0)
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set_value("Smooth Weight", weight)
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set_value("Boundary Smooth", iterations)
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group = obj.modifiers[0].node_group
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entry = next(n for n in group.nodes if n.bl_idname == "GeometryNodeRepeatInput"
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and origin_socket(n.inputs["Iterations"].links[0].from_socket).name == "Boundary Smooth")
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bypass = next(n for n in group.nodes if n.bl_idname == "GeometryNodeSwitch"
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and n.input_type == "GEOMETRY" and n.inputs["True"].is_linked
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and origin_socket(n.inputs["True"].links[0].from_socket).node == entry.paired_output)
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control = origin_socket(bypass.inputs["Switch"].links[0].from_socket)
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assert control.name == "Boundary Smooth"
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assert control.identifier == origin_socket(entry.inputs["Iterations"].links[0].from_socket).identifier
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assert origin_socket(bypass.inputs["False"].links[0].from_socket) == origin_socket(entry.inputs["Geometry"].links[0].from_socket)
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original, faces = evaluated(obj)
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group.links.remove(bypass.inputs["Switch"].links[0])
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bypass.inputs["Switch"].default_value = True
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obj.update_tag(refresh={"DATA"})
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bpy.context.view_layer.update()
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unskipped, unskipped_faces = evaluated(obj)
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np.testing.assert_array_equal(original, unskipped)
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assert faces == unskipped_faces
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