59bf9bff2d
* migrate from poetry to uv * fix No module named 'pyopenvdb' in blender 4.4 * update auto_load.py * add vscode workspace * update relase workflow
216 lines
7.6 KiB
Python
216 lines
7.6 KiB
Python
import random
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import re
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import bpy
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import numpy as np
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try:
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import pyopenvdb as vdb
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except:
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import openvdb as vdb
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from pathlib import Path
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from uuid import uuid4
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from ..bioxel.layer import Layer
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from ..utils import get_use_link
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from .node import add_node_to_graph
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from .common import (get_layer_prop_value,
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move_node_between_nodes)
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def obj_to_layer(layer_obj: bpy.types.Object):
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cache_filepath = Path(bpy.path.abspath(layer_obj.data.filepath)).resolve()
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is_sequence = re.search(r'\.\d{4}\.',
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cache_filepath.name) is not None
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if is_sequence:
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cache_path = cache_filepath.parent
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data_frames = ()
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for f in cache_path.iterdir():
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if not f.is_file() or f.suffix != ".vdb":
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continue
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grids, base_metadata = vdb.readAll(str(f))
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grid = grids[0]
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metadata = grid.metadata
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if grid["layer_kind"] in ['label', 'scalar']:
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data_shape = grid["data_shape"]
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else:
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data_shape = tuple(list(grid["data_shape"]) + [3])
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data_frame = np.ndarray(data_shape, np.float32)
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grid.copyToArray(data_frame)
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data_frames += (data_frame,)
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data = np.stack(data_frames)
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else:
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grids, base_metadata = vdb.readAll(str(cache_filepath))
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grid = grids[0]
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metadata = grid.metadata
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if grid["layer_kind"] in ['label', 'scalar']:
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data_shape = grid["data_shape"]
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else:
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data_shape = tuple(list(grid["data_shape"]) + [3])
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data = np.ndarray(data_shape, np.float32)
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grid.copyToArray(data)
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data = np.expand_dims(data, axis=0) # expend frame
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name = get_layer_prop_value(layer_obj, "name") \
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or metadata["layer_name"]
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kind = get_layer_prop_value(layer_obj, "kind") \
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or metadata["layer_kind"]
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affine = metadata["layer_affine"]
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dtype = get_layer_prop_value(layer_obj, "dtype") \
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or metadata.get("data_dtype") or "float32"
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offset = get_layer_prop_value(layer_obj, "offset") \
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or metadata.get("data_offset") or 0
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data = data - np.full_like(data, offset)
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data = data.astype(dtype)
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if kind in ["scalar", "label"]:
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data = np.expand_dims(data, axis=-1) # expend channel
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layer = Layer(data=data,
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name=name,
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kind=kind,
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affine=affine)
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return layer
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def layer_to_obj(layer: Layer,
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container_obj: bpy.types.Object,
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cache_dir: str):
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data = layer.data
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# TXYZC > TXYZ
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if layer.kind in ['label', 'scalar']:
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data = np.amax(data, -1)
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offset = 0
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if layer.kind in ['scalar']:
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data = data.astype(np.float32)
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orig_min = float(np.min(data))
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if orig_min < 0:
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offset = -orig_min
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data = data + np.full_like(data, offset)
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metadata = {
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"layer_name": layer.name,
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"layer_kind": layer.kind,
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"layer_affine": layer.affine.tolist(),
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"data_shape": layer.shape,
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"data_dtype": layer.data.dtype.str,
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"data_offset": offset
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}
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layer_display_name = f"{container_obj.name}_{layer.name}"
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if layer.frame_count > 1:
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print(f"Saving the Cache of {layer.name}...")
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vdb_name = str(uuid4())
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sequence_path = Path(cache_dir, vdb_name)
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sequence_path.mkdir(parents=True, exist_ok=True)
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cache_filepaths = []
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for f in range(layer.frame_count):
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if layer.kind in ['label', 'scalar']:
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grid = vdb.FloatGrid()
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grid.copyFromArray(data[f, :, :, :].copy().astype(np.float32))
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else:
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# color
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grid = vdb.Vec3SGrid()
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grid.copyFromArray(
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data[f, :, :, :, :].copy().astype(np.float32))
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grid.transform = vdb.createLinearTransform(
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layer.affine.transpose())
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grid.metadata = metadata
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grid.name = layer.kind
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cache_filepath = Path(sequence_path,
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f"{vdb_name}.{str(f+1).zfill(4)}.vdb")
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vdb.write(str(cache_filepath), grids=[grid])
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cache_filepaths.append(cache_filepath)
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else:
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if layer.kind in ['label', 'scalar']:
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grid = vdb.FloatGrid()
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grid.copyFromArray(data[0, :, :, :].copy().astype(np.float32))
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else:
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# color
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grid = vdb.Vec3SGrid()
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grid.copyFromArray(data[0, :, :, :, :].copy().astype(np.float32))
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grid.transform = vdb.createLinearTransform(
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layer.affine.transpose())
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grid.metadata = metadata
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grid.name = layer.kind
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print(f"Saving the Cache of {layer.name}...")
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cache_filepath = Path(cache_dir, f"{uuid4()}.vdb")
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vdb.write(str(cache_filepath), grids=[grid])
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cache_filepaths = [cache_filepath]
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layer_data = bpy.data.volumes.new(layer_display_name)
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layer_data.render.space = 'WORLD'
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scene_scale = container_obj.get("scene_scale") or 0.01
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step_size = container_obj.get("step_size") or 1
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layer_data.render.step_size = scene_scale * step_size
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layer_data.sequence_mode = 'REPEAT'
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layer_data.filepath = str(cache_filepaths[0])
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if layer.frame_count > 1:
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layer_data.is_sequence = True
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layer_data.frame_duration = layer.frame_count
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else:
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layer_data.is_sequence = False
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layer_obj = bpy.data.objects.new(layer_display_name, layer_data)
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layer_obj['bioxel_layer'] = True
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print(f"Creating Node for {layer.name}...")
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modifier = layer_obj.modifiers.new("GeometryNodes", 'NODES')
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node_group = bpy.data.node_groups.new('GeometryNodes', 'GeometryNodeTree')
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node_group.interface.new_socket(name="Cache",
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in_out="INPUT",
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socket_type="NodeSocketGeometry")
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node_group.interface.new_socket(name="Layer",
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in_out="OUTPUT",
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socket_type="NodeSocketGeometry")
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modifier.node_group = node_group
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layer_node = add_node_to_graph("_Layer",
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node_group,
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use_link=get_use_link())
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layer_node.inputs['name'].default_value = layer.name
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layer_node.inputs['shape'].default_value = layer.shape
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layer_node.inputs['kind'].default_value = layer.kind
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for i in range(layer.affine.shape[1]):
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for j in range(layer.affine.shape[0]):
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affine_key = f"affine{i}{j}"
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layer_node.inputs[affine_key].default_value = layer.affine[j, i]
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layer_node.inputs['unique'].default_value = random.uniform(0, 1)
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layer_node.inputs['bioxel_size'].default_value = layer.bioxel_size[0]
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layer_node.inputs['dtype'].default_value = layer.dtype.str
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layer_node.inputs['dtype_num'].default_value = layer.dtype.num
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layer_node.inputs['frame_count'].default_value = layer.frame_count
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layer_node.inputs['channel_count'].default_value = layer.channel_count
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layer_node.inputs['offset'].default_value = max(0, -layer.min)
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layer_node.inputs['min'].default_value = layer.min
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layer_node.inputs['max'].default_value = layer.max
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input_node = node_group.nodes.new("NodeGroupInput")
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output_node = node_group.nodes.new("NodeGroupOutput")
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node_group.links.new(input_node.outputs[0],
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layer_node.inputs[0])
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node_group.links.new(layer_node.outputs[0],
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output_node.inputs[0])
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move_node_between_nodes(
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layer_node, [input_node, output_node])
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layer_obj.parent = container_obj
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return layer_obj
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