"""Verify pinned-boundary smoothing stays within its fixed edge band.""" from collections import Counter import bpy import bmesh import numpy as np import pytest from tests.support.depth_surface import surface, evaluated, assert_closed, component_count def diagonal_surface(triangles=False): obj, set_value = surface(resolution=16) if triangles: mesh = bmesh.new() mesh.from_mesh(obj.data) bmesh.ops.triangulate(mesh, faces=list(mesh.faces)) mesh.to_mesh(obj.data) mesh.free() image = bpy.data.images["Camera"] pixels = np.array(image.pixels[:], np.float32).reshape(32, 64, 4) yy, xx = np.mgrid[:32, :64] pixels[..., 2] = 1 + (xx > 18 + yy * 0.7) * 6 image.pixels.foreach_set(pixels.ravel()) image.update() set_value("Depth Split", 0.5) set_value("Depth Scale", 0) return obj, set_value def boundary_neighbors(faces): edges = Counter(tuple(sorted((a, b))) for face in faces for a, b in zip(face, (*face[1:], face[0]))) neighbors = {} for (a, b), count in edges.items(): if count == 1: neighbors.setdefault(a, []).append(b) neighbors.setdefault(b, []).append(a) return neighbors def edge_band(faces, seeds, rings=2): adjacency = {} for face in faces: for a, b in zip(face, (*face[1:], face[0])): adjacency.setdefault(a, set()).add(b) adjacency.setdefault(b, set()).add(a) selected = set(seeds) for _ in range(rings): selected |= {neighbor for vertex in selected for neighbor in adjacency[vertex]} return selected @pytest.mark.parametrize("triangles", [False, True]) def test_smoothing_reduces_stairs_without_leaving_two_ring_band(triangles): obj, set_value = diagonal_surface(triangles) original, faces = evaluated(obj) boundary = boundary_neighbors(faces) outer = np.isclose(original[:, 0], 0) | np.isclose(original[:, 0], 2) outer |= np.isclose(original[:, 1], 0) | np.isclose(original[:, 1], 1) cut = {i for i in boundary if not outer[i]} band = edge_band(faces, boundary) movable = np.array([i in band for i in range(len(original))]) assert movable.any() and (~movable).any() set_value("Boundary Smooth", 16) smoothed, result_faces = evaluated(obj) assert result_faces == faces np.testing.assert_array_equal(smoothed[~movable], original[~movable]) assert np.max(np.linalg.norm(smoothed - original, axis=1)) > 0.005 nearby = [i for i in band if i not in boundary and not outer[i]] assert np.max(np.linalg.norm(smoothed[nearby] - original[nearby], axis=1)) > 1e-4 before, after = [], [] for i in cut: adjacent = boundary[i] if len(adjacent) != 2: continue before.append(np.linalg.norm(original[adjacent].mean(axis=0) - original[i])) after.append(np.linalg.norm(smoothed[adjacent].mean(axis=0) - smoothed[i])) assert sum(after) < 0.8 * sum(before) np.testing.assert_array_equal(smoothed[:, 2], original[:, 2]) set_value("Smooth Weight", 0) np.testing.assert_array_equal(evaluated(obj)[0], original) set_value("Smooth Weight", 1) set_value("Boundary Smooth", 0) np.testing.assert_array_equal(evaluated(obj)[0], original) def test_smoothing_without_split_moves_outline_only_within_boundary_band(): obj, set_value = diagonal_surface() set_value("Depth Split", 0) original, faces = evaluated(obj) set_value("Boundary Smooth", 16) result, result_faces = evaluated(obj) boundary = boundary_neighbors(faces) band = edge_band(faces, boundary) outside = [i for i in range(len(original)) if i not in band] assert np.max(np.linalg.norm(result[list(boundary)] - original[list(boundary)], axis=1)) > 1e-4 np.testing.assert_array_equal(result[outside], original[outside]) assert result_faces == faces set_value("Boundary Smooth", 0) np.testing.assert_array_equal(evaluated(obj)[0], original) @pytest.mark.parametrize("mode", [0, 1]) def test_smoothed_cut_shells_stay_closed_and_separate(mode): from anyimage.common.object import modifier_input_identifier, set_modifier_input obj, set_value = diagonal_surface() obj.data.attributes.new("o_balloon", "FLOAT", "POINT").data.foreach_set( "value", np.full(len(obj.data.vertices), 0.3, dtype=np.float32) ) set_value("Depth Scale", 1) set_value("Boundary Smooth", 4) original, faces = evaluated(obj) count = component_count(faces) set_value("Mode", mode) modifier = obj.modifiers[0] identifier = modifier_input_identifier(modifier.node_group, "Thickness", subtype="NONE" if mode == 0 else "DISTANCE") set_modifier_input(modifier, identifier, 0.05) obj.update_tag(refresh={"DATA"}) bpy.context.view_layer.update() result, shell_faces = evaluated(obj) assert np.isfinite(result).all() assert_closed(shell_faces) assert component_count(shell_faces) == count def test_panorama_smoothing_preserves_interior_and_uvs(): from tests.tools.nodes.test_image_depth_panorama import panorama, evaluated as panorama_mesh yy, xx = np.mgrid[:64, :128] depth = np.where(xx > 35 + yy * 0.6, 8.0, 2.0) obj, set_value = panorama(depth, subdivide=4) set_value("Depth Split", 0.5) original, faces, uv = panorama_mesh(obj) rim = boundary_neighbors(faces) band = edge_band(faces, rim) interior = [i for i in range(len(original)) if i not in band] set_value("Boundary Smooth", 4) result, result_faces, result_uv = panorama_mesh(obj) assert np.isfinite(result).all() assert result_faces == faces np.testing.assert_array_equal(result[interior], original[interior]) np.testing.assert_array_equal(result_uv, uv) assert np.max(np.linalg.norm(result-original, axis=1)) > 1e-4 def test_plane_edge_smoothing_preserves_uvs_and_closes_thickness(): from tests.support.planes import create_surface, evaluated as plane_mesh obj, set_value, _, inputs, image = create_surface("DEPTH") assert inputs["Boundary Smooth"].default_value == 4 assert inputs["Boundary Smooth"].parent.name == "Options" pixels = np.array(image.pixels[:], np.float32).reshape(8, 16, 4) yy, xx = np.mgrid[:8, :16] pixels[..., 2] = 1 + (xx > 5 + yy * 0.7) * 6 image.pixels.foreach_set(pixels.ravel()) image.update() set_value("Subdivide", 5) set_value("Depth Scale", 1) set_value("Depth Split", 0.5) original, faces, uv, *_ = plane_mesh(obj) set_value("Boundary Smooth", 4) result, result_faces, result_uv, *_ = plane_mesh(obj) assert result_faces == faces np.testing.assert_array_equal(result_uv, uv) assert np.max(np.linalg.norm(result-original, axis=1)) > 1e-4 set_value("Thickness", 0.03) assert_closed(plane_mesh(obj)[1]) def test_validity_cut_smoothing_preserves_original_outline_and_interior(): from tests.support.planes import create_surface, evaluated as plane_mesh obj, set_value, _, _, image = create_surface("DEPTH") set_value("Subdivide", 5) set_value("Depth Split", 0) set_value("Depth Mask", False) whole = plane_mesh(obj)[0] low, high = whole.min(axis=0), whole.max(axis=0) pixels = np.array(image.pixels[:], np.float32).reshape(8, 16, 4) yy, xx = np.mgrid[:8, :16] pixels[..., 3] = xx < 5 + yy * 0.7 image.pixels.foreach_set(pixels.ravel()) image.update() set_value("Depth Mask", True) before, faces, uv, *_ = plane_mesh(obj) boundary = boundary_neighbors(faces) outer = np.any(np.isclose(before[:, :2], low[:2]) | np.isclose(before[:, :2], high[:2]), axis=1) cut = {i for i in boundary if not outer[i]} band = edge_band(faces, cut) fixed = np.array([i not in band or outer[i] for i in range(len(before))]) set_value("Boundary Smooth", 5) after, result_faces, result_uv, *_ = plane_mesh(obj) assert result_faces == faces np.testing.assert_array_equal(result_uv, uv) np.testing.assert_array_equal(after[fixed], before[fixed]) assert np.max(np.linalg.norm(after-before, axis=1)) > 1e-4 before_bends, after_bends = [], [] for i in cut: if len(boundary[i]) == 2: before_bends.append(np.linalg.norm(before[boundary[i]].mean(axis=0)-before[i])) after_bends.append(np.linalg.norm(after[boundary[i]].mean(axis=0)-after[i])) assert sum(after_bends) < sum(before_bends) * 0.8 set_value("Thickness", 0.03) assert_closed(plane_mesh(obj)[1]) set_value("Thickness", 0) set_value("Depth Mask", False) np.testing.assert_array_equal(plane_mesh(obj)[0], whole) def test_panorama_validity_cut_smoothing_stays_in_two_ring_band(): from tests.tools.nodes.test_image_depth_panorama import panorama, evaluated as panorama_mesh yy, xx = np.mgrid[:64, :128] alpha = ((xx-64)**2 + (yy-32)**2 > 15**2).astype(np.float32) obj, set_value = panorama(np.full((64, 128), 3), alpha, subdivide=4) set_value("Depth Split", 0) before, faces, uv = panorama_mesh(obj) band = edge_band(faces, boundary_neighbors(faces)) outside = [i for i in range(len(before)) if i not in band] set_value("Boundary Smooth", 5) after, result_faces, result_uv = panorama_mesh(obj) assert result_faces == faces np.testing.assert_array_equal(result_uv, uv) np.testing.assert_array_equal(after[outside], before[outside]) assert np.max(np.linalg.norm(after-before, axis=1)) > 1e-4