nan
31074bd511
- Introduced tests for boundary smoothing in `test_boundary_smoothing.py`, verifying that smoothing reduces stair-step artifacts while preserving boundary integrity. - Added tests for cutout boundary behavior in `test_cutout_boundary.py`, ensuring proper handling of boundary triangles and normal blending. - Created `test_temporary_attributes.py` to check the cleanup of temporary attributes across depth modifier branches, ensuring no warnings are raised. - Implemented point culling functionality in `test_validity.py`, confirming that invalid points are removed without affecting adjacent geometry. - Developed boundary smoothing logic in `boundary_smoothing.py`, allowing for depth smoothing while maintaining edge integrity. - Added cutout boundary management in `cutout_boundary.py`, including functions for removing boundary triangles and tapering thickness profiles. - Implemented validity checks in `validity.py` to ensure proper deletion of invalid vertices and associated wire edges.
72 lines
3.3 KiB
Python
72 lines
3.3 KiB
Python
"""Apply packed panorama artifacts around the source Empty's camera origin."""
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import json
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import math
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from pathlib import Path
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import bpy
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from ...common.depth import load_depth_result_image
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from ...common.image import require_conversion_source
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from ...common.color_image import material_color_image
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from ...common.material import create_image_material
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from ...common.node import load_node_group
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from ...common.object import finalize_object_result, modifier_input_identifier, set_modifier_input
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def load_panorama_metadata(path):
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metadata = json.loads(Path(path).read_text(encoding="utf-8"))
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try:
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size = tuple(int(value) for value in metadata["image_size"])
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distance = float(metadata["reference_distance"])
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valid = (metadata["projection"] == "equirectangular" and len(size) == 2
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and size[1] > 0 and size[0] == 2 * size[1]
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and math.isfinite(distance) and distance > 0)
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except (KeyError, TypeError, ValueError) as error:
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raise ValueError("Panorama metadata is invalid") from error
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if not valid:
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raise ValueError("Panorama metadata is invalid")
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return {"image_size": size, "reference_distance": distance}
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def create_panorama_from_result(context, result, operator):
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source = require_conversion_source(operator)
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depth = material = mesh = obj = None
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try:
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with material_color_image(input_path=operator.color_path) as color:
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metadata = load_panorama_metadata(result.file("depth_metadata"))
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group = load_node_group("O Image Depth Panorama", asset_revision=14)
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depth = load_depth_result_image(result.file("depth"), source, metadata)
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material = create_image_material(source.data, color, shadeless=True, scene=context.scene,
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texture_extension="REPEAT")
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mesh = bpy.data.meshes.new(source.name)
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mesh.from_pydata([(0, 0, 0)], [], [])
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mesh.materials.append(material)
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obj = bpy.data.objects.new(source.name, mesh)
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context.collection.objects.link(obj)
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obj.location = source.matrix_world.translation
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obj.scale = source.matrix_world.to_scale()
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obj["anyimage_mesh_shape"] = "PANORAMA"
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modifier = obj.modifiers.new(group.name, "NODES")
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modifier.node_group = group
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modifier.show_group_selector = False
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for name, value in (
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("Subdivide", operator.mesh_detail), ("Depth Image", depth),
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("Reference Distance", metadata["reference_distance"]),
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):
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set_modifier_input(modifier, modifier_input_identifier(group, name), value)
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finalize_object_result(context, source, obj)
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except Exception:
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if obj is not None:
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bpy.data.objects.remove(obj, do_unlink=True)
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if mesh is not None and mesh.users == 0:
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bpy.data.meshes.remove(mesh)
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if material is not None and material.users == 0:
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bpy.data.materials.remove(material, do_unlink=True)
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if depth is not None and depth.users == 0:
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bpy.data.images.remove(depth, do_unlink=True)
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raise
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if "FINISHED" not in bpy.ops.ed.undo_push(message="Convert to Panorama"):
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raise RuntimeError("Unable to create the Convert to Panorama Undo step")
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return obj
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