Files
AnyImage/src/anyimage/common/node.py
nan a0dd6e4a88 feat: Add restore cutout depth extension with edge depth correction
- Introduced a new extension for restoring cutout depth with edge correction.
- Implemented edge depth extension algorithm in `edge_depth.py` to enhance depth accuracy near cutout edges.
- Updated `generate_moge_artifacts` to include an option for extending depth edges during depth generation.
- Modified cutout job processing to enable edge depth extension based on depth request.
- Added comprehensive tests for edge depth functionality, ensuring correct behavior under various scenarios.
- Updated existing node loading functions to remove asset revision dependencies, simplifying the loading process.
- Created new design and proposal documentation outlining the goals and decisions for the extension.
2026-09-13 20:36:52 +08:00

48 lines
1.6 KiB
Python

from pathlib import Path
import bpy
NODE_ASSET_NAME = "O_AnyImage.blend"
def node_asset_path():
return Path(__file__).resolve().parents[1] / "assets" / NODE_ASSET_NAME
def load_node_group(group_name):
existing = bpy.data.node_groups.get(group_name)
if existing is not None:
return existing
asset_path = node_asset_path()
if not asset_path.is_file():
raise RuntimeError(f"Missing node asset: {asset_path}")
if bpy.app.version < (5, 0, 0):
directory = str(asset_path) + "/NodeTree/"
result = bpy.ops.wm.append(
filepath=directory + group_name,
directory=directory,
filename=group_name,
link=False,
do_reuse_local_id=False,
)
if "FINISHED" not in result:
raise RuntimeError("Unable to append the node asset")
node_group = bpy.data.node_groups.get(group_name)
if node_group is None:
raise RuntimeError("Appended node asset is unavailable")
node_group.use_fake_user = True
return node_group
with bpy.data.libraries.load(str(asset_path), link=True) as (source, target):
if group_name not in source.node_groups:
raise RuntimeError(f"Node asset is missing {group_name}")
target.node_groups = [group_name]
linked_group = target.node_groups[0]
node_group = bpy.data.pack_linked_ids_hierarchy(root_id=linked_group)
if linked_group != node_group and linked_group.users == 0:
bpy.data.node_groups.remove(linked_group)
node_group.use_fake_user = True
return node_group