feat: rewrite resize

add more nodes
This commit is contained in:
2024-07-04 13:05:46 +08:00
parent 134d8e382b
commit 1db63dd3db
25 changed files with 4655 additions and 498 deletions

View File

@@ -1,3 +1,4 @@
import math
import bpy
import shutil
from bpy_extras.io_utils import axis_conversion
@@ -8,17 +9,18 @@ from uuid import uuid4
import mathutils
import random
from . import skimage as ski
from .nodes import custom_nodes
from .props import BIOXELNODES_Series
from .utils import (calc_bbox_verts, get_all_layers, get_container, get_layer, get_text_index_str,
get_node_by_type, hide_in_ray, lock_transform, show_message)
from .utils import (calc_bbox_verts, get_all_layers, get_container_from_selection, get_layer, get_text_index_str,
get_node_by_type, hide_in_ray, lock_transform, save_vdb, show_message)
try:
import SimpleITK as sitk
except:
...
SUPPORT_EXTS = ['.dcm', '.DCM', '.DICOM',
SUPPORT_EXTS = ['', '.dcm', '.DCM', '.DICOM',
'.bmp', '.BMP',
'.PIC', '.pic',
'.gipl', '.gipl.gz',
@@ -40,9 +42,9 @@ SEQUENCE_EXTS = ['.dcm', '.DCM', '.DICOM',
'.tif', '.TIF', '.tiff', '.TIFF',
'.png', '.PNG']
DICOM_EXTS = ['.dcm', '.DCM', '.DICOM']
DICOM_EXTS = ['', '.dcm', '.DCM', '.DICOM']
FH_EXTS = ['.dcm', '.DCM', '.DICOM',
FH_EXTS = ['', '.dcm', '.DCM', '.DICOM',
'.gipl', '.gipl.gz',
'.mnc', '.MNC',
'.mrc', '.rec',
@@ -64,6 +66,14 @@ def get_layer_shape(bioxel_size: float, orig_shape: tuple, orig_spacing: tuple):
shape[2] if shape[2] > 0 else 1)
def get_layer_size(shape: tuple, bioxel_size: float, scale: float = 1.0):
size = (float(shape[0] * bioxel_size * scale),
float(shape[1] * bioxel_size * scale),
float(shape[2] * bioxel_size * scale))
return size
def get_ext(filepath: str) -> str:
file_path = Path(filepath)
if file_path.name.endswith(".nii.gz"):
@@ -90,7 +100,7 @@ def get_sequence_index(filepath: str) -> int:
return int(index) if index else 0
def collect_image_sequence(filepath: str):
def collect_sequence(filepath: str):
file_path = Path(filepath).resolve()
files = list(file_path.parent.iterdir())
@@ -103,7 +113,7 @@ def collect_image_sequence(filepath: str):
return sequence
def read_image(filepath: str, series_id=""):
def parse_volume_data(filepath: str, series_id=""):
ext = get_ext(filepath)
if ext in DICOM_EXTS:
@@ -114,37 +124,42 @@ def read_image(filepath: str, series_id=""):
series_files = reader.GetGDCMSeriesFileNames(
str(dir_path), series_id)
reader.SetFileNames(series_files)
image = reader.Execute()
itk_volume = reader.Execute()
name = dir_path.name
elif ext in SEQUENCE_EXTS:
image = sitk.ReadImage(filepath)
if image.GetDimension() == 2:
sequence = collect_image_sequence(filepath)
image = sitk.ReadImage(sequence)
itk_volume = sitk.ReadImage(filepath)
if itk_volume.GetDimension() == 2:
sequence = collect_sequence(filepath)
itk_volume = sitk.ReadImage(sequence)
name = get_sequence_name(filepath)
else:
image = sitk.ReadImage(filepath)
itk_volume = sitk.ReadImage(filepath)
name = Path(filepath).name.removesuffix(ext)
else:
image = sitk.ReadImage(filepath)
itk_volume = sitk.ReadImage(filepath)
name = Path(filepath).name.removesuffix(ext)
return image, name
itk_volume = sitk.DICOMOrient(itk_volume, 'RAS')
volume = sitk.GetArrayFromImage(itk_volume)
if volume.ndim == 4:
volume = np.transpose(volume, (2, 1, 0, 3))
else:
volume = np.transpose(volume)
def rgb2gray(image):
# Convert sRGB image to gray scale and rescale results to [0,255]
layers = [sitk.VectorIndexSelectionCast(
image, i, sitk.sitkFloat32) for i in range(image.GetNumberOfComponentsPerPixel())]
# linear mapping
I = (0.2126*layers[0] + 0.7152*layers[1] + 0.0722*layers[2])
meta = {
"name": name,
"shape": tuple(itk_volume.GetSize()),
"spacing": tuple(itk_volume.GetSpacing()),
"origin": tuple(itk_volume.GetOrigin()),
"direction": tuple(itk_volume.GetDirection()),
}
return sitk.Cast(I, sitk.sitkFloat32)
for key, value in meta.items():
print(f"{key}: {value}")
def x2gray(image):
return sitk.VectorIndexSelectionCast(image, 0, sitk.sitkUInt16)
return volume, meta
class ImportVolumeDataDialog(bpy.types.Operator):
@@ -167,14 +182,6 @@ class ImportVolumeDataDialog(bpy.types.Operator):
series_id: bpy.props.StringProperty() # type: ignore
resample_method: bpy.props.EnumProperty(
name="Resample Method",
default="linear",
items=[("linear", "Linear", ""),
("nearest_neighbor", "Nearest Neighbor", ""),
("gaussian", "Gaussian", "")]
) # type: ignore
container: bpy.props.StringProperty() # type: ignore
read_as: bpy.props.EnumProperty(
@@ -203,7 +210,7 @@ class ImportVolumeDataDialog(bpy.types.Operator):
scene_scale: bpy.props.FloatProperty(
name="Scene Scale (Bioxel Unit pre Blender Unit)",
soft_min=0.001, soft_max=100.0,
soft_min=0.0001, soft_max=10.0,
min=1e-6, max=1e6,
default=0.01,
) # type: ignore
@@ -213,95 +220,21 @@ class ImportVolumeDataDialog(bpy.types.Operator):
default=True,
) # type: ignore
invert_scalar: bpy.props.BoolProperty(
name="Invert Scalar (Background value maybe higher than object)",
default=False,
) # type: ignore
def execute(self, context):
is_first_import = len(get_all_layers()) == 0
image, name = read_image(self.filepath, self.series_id)
container_name = self.container_name or name
volume, meta = parse_volume_data(self.filepath)
container_name = self.container_name or meta['name'] or "Container"
bioxel_size = self.bioxel_size
orig_spacing = self.orig_spacing
image_spacing = image.GetSpacing()
image_shape = image.GetSize()
layer_spacing = (
image_spacing[0] / orig_spacing[0] * bioxel_size,
image_spacing[1] / orig_spacing[1] * bioxel_size,
image_spacing[2] / orig_spacing[2] * bioxel_size
meta['spacing'][0] / orig_spacing[0] * bioxel_size,
meta['spacing'][1] / orig_spacing[1] * bioxel_size,
meta['spacing'][2] / orig_spacing[2] * bioxel_size
)
layer_shape = get_layer_shape(
bioxel_size, image_shape, orig_spacing)
if self.read_as == "labels":
if "vector" in image.GetPixelIDTypeAsString():
print("Conveting to Grayscale...")
image = x2gray(image)
else:
image = sitk.Cast(image, sitk.sitkUInt16)
default_value = 0
elif self.read_as == "scalar":
if "vector" in image.GetPixelIDTypeAsString():
print("Conveting to Grayscale...")
image = rgb2gray(image)
else:
image = sitk.Cast(image, sitk.sitkFloat32)
stats = sitk.StatisticsImageFilter()
stats.Execute(image)
default_value = stats.GetMaximum() if self.invert_scalar else stats.GetMinimum()
if self.resample_method == "linear":
interpolator = sitk.sitkLinear
elif self.resample_method == "nearest_neighbor":
interpolator = sitk.sitkNearestNeighbor
elif self.resample_method == "gaussian":
interpolator = sitk.sitkGaussian
if self.read_as == "labels":
interpolator = sitk.sitkNearestNeighbor
print(f"Resampling...")
image = sitk.Resample(
image1=image,
size=layer_shape,
transform=sitk.Transform(),
interpolator=interpolator,
outputOrigin=image.GetOrigin(),
outputSpacing=layer_spacing,
outputDirection=image.GetDirection(),
defaultPixelValue=default_value,
outputPixelType=image.GetPixelID(),
)
if self.do_orient:
print("Orienting to RAS...")
image = sitk.DICOMOrient(image, 'RAS')
print("Oriented Origin:", image.GetOrigin())
print("Oriented Direction:", image.GetDirection())
# return {'FINISHED'}
# ITK indices, by convention, are [i,j,k] while NumPy indices are [k,j,i]
# https://www.slicer.org/wiki/Coordinate_systems
# ITK Numpy 3D
# R (ight) i -> k -> x
# A (nterior) j -> j -> y
# S (uperior) k -> i -> z
array = sitk.GetArrayFromImage(image)
orig_dtype = str(array.dtype)
# print(f"Coverting Dtype from {orig_dtype} to float...")
# array = array.astype(float)
if array.ndim == 4:
array = array[:, :, :, 0]
array = np.transpose(array)
bioxel_size, meta['shape'], orig_spacing)
# After sitk.DICOMOrient(), origin and direction will also orient base on LPS
# so we need to convert them into RAS
@@ -312,23 +245,22 @@ class ImportVolumeDataDialog(bpy.types.Operator):
to_up='Y'
).to_4x4()
origin = image.GetOrigin()
direction = image.GetDirection()
mat_location = mathutils.Matrix.Translation(
mathutils.Vector(origin)
mathutils.Vector(meta['origin'])
)
mat_rotation = mathutils.Matrix(
np.array(direction).reshape((3, 3))
np.array(meta['direction']).reshape((3, 3))
).to_4x4()
mat_scale = mathutils.Matrix.Scale(
bioxel_size, 4
)
transfrom = mat_lps2ras @ mat_location @ mat_rotation @ mat_scale \
if self.do_orient else mat_location @ mat_rotation @ mat_scale
# transfrom = mat_lps2ras @ mat_location @ mat_rotation @ mat_scale \
# if self.do_orient else mat_location @ mat_rotation @ mat_scale
transfrom = mat_lps2ras @ mat_location @ mat_rotation @ mat_scale
# Wrapper a Container
if not self.container:
@@ -353,7 +285,7 @@ class ImportVolumeDataDialog(bpy.types.Operator):
)
container = bpy.context.active_object
bbox_verts = calc_bbox_verts((0, 0, 0), array.shape)
bbox_verts = calc_bbox_verts((0, 0, 0), volume.shape)
for index, vert in enumerate(container.data.vertices):
bbox_transform = transfrom
vert.co = bbox_transform @ mathutils.Vector(bbox_verts[index])
@@ -370,49 +302,24 @@ class ImportVolumeDataDialog(bpy.types.Operator):
'NodeGroupInput')[0]
container_node_tree.links.remove(input_node.outputs[0].links[0])
# bpy.ops.mesh.primitive_cube_add(
# enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1)
# )
# frame = bpy.context.active_object
# bbox_verts = calc_bbox_verts((0, 0, 0), array.shape)
# for index, vert in enumerate(frame.data.vertices):
# # bbox_transform = mat_ras2blender @ mat_scene_scale @ transfrom
# bbox_transform = transfrom
# vert.co = bbox_transform @ mathutils.Vector(bbox_verts[index])
# frame.name = f"Frame_{container_name}"
# frame.data.name = f"Frame_{container_name}"
# lock_transform(frame)
# hide_in_ray(frame)
# frame.hide_select = True
# frame.hide_render = True
# frame.display_type = 'WIRE'
# frame.parent = container
else:
container = bpy.data.objects[self.container]
container_node_tree = container.modifiers[0].node_group
preferences = context.preferences.addons[__package__].preferences
cache_dir = Path(preferences.cache_dir, 'VDBs')
cache_dir.mkdir(parents=True, exist_ok=True)
loc, rot, sca = transfrom.decompose()
layer_origin = tuple(loc)
layer_rotation = tuple(rot.to_euler())
layer_shape = tuple(array.shape)
def create_layer(array, layer_name, layer_type="scalar"):
def create_layer(volume, layer_name, layer_type="scalar"):
grid = vdb.FloatGrid()
array = array.copy().astype(float)
grid.copyFromArray(array)
volume = volume.copy().astype(np.float32)
grid.copyFromArray(volume)
grid.transform = vdb.createLinearTransform(transfrom.transposed())
grid.name = layer_type
vdb_path = Path(cache_dir, f"{uuid4()}.vdb")
print(f"Storing the cache ({str(vdb_path)})...")
vdb.write(str(vdb_path), grids=[grid])
vdb_path = save_vdb([grid], context)
# Read VDB
print(f"Loading the cache to Blender scene...")
@@ -469,51 +376,66 @@ class ImportVolumeDataDialog(bpy.types.Operator):
return layer
if self.read_as == "labels":
orig_max = int(np.max(array))
orig_min = int(np.min(array))
if volume.ndim == 4:
volume = np.amax(volume, -1)
volume = volume.astype(int)
orig_max = int(np.max(volume))
orig_min = int(np.min(volume))
layer_name = self.layer_name or "Label"
for i in range(orig_max):
label = array == np.full_like(array, i+1)
layer = create_layer(array=label,
label = volume == np.full_like(volume, i+1)
print(f"Resampling...")
label = ski.resize(label.astype(np.float32),
layer_shape,
anti_aliasing=True)
layer = create_layer(volume=label,
layer_name=f"{container_name}_{layer_name}_{i+1}",
layer_type="label")
output_node = get_node_by_type(container_node_tree.nodes,
'NodeGroupOutput')[0]
# Deselect all nodes first
for node in container_node_tree.nodes:
if node.select:
node.select = False
mask_node = custom_nodes.add_node(container_node_tree.nodes,
'BioxelNodes_MaskByLabel')
mask_node.label = f"{layer_name}_{i+1}"
mask_node.inputs[0].default_value = layer
# Connect to output if no output linked
output_node = get_node_by_type(container_node_tree.nodes,
'NodeGroupOutput')[0]
if len(output_node.inputs[0].links) == 0:
container_node_tree.links.new(mask_node.outputs[0],
output_node.inputs[0])
else:
if self.invert_scalar:
array = -array
if volume.ndim == 4:
volume = np.amax(volume, -1)
# volume = skimage.color.rgb2gray(volume)
orig_max = float(np.max(array))
orig_min = float(np.min(array))
orig_median = float(np.median(array))
orig_percentile80 = float(np.percentile(array, 80)) \
if self.invert_scalar else float(np.percentile(array, 80))
if volume.dtype.kind == 'u':
imax_in = np.iinfo(volume.dtype).max
volume = np.multiply(volume, 255.0 / imax_in, dtype=np.float32)
elif volume.dtype.kind == 'i':
volume = volume.astype(np.float32)
stats_table = [("Max", orig_max),
("Min", orig_min),
("Median", orig_median),
("80%", orig_percentile80)]
print(f"Resampling...")
volume = ski.resize(volume,
layer_shape,
anti_aliasing=True)
print("Volume Data Stats:")
for stats in stats_table:
print("| {: >10} | {: >40} |".format(*stats))
orig_max = float(np.max(volume))
orig_min = float(np.min(volume))
scalar_offset = 0
if orig_min < 0:
scalar_offset = -orig_min
array = array + np.full_like(array, scalar_offset)
volume = volume + np.full_like(volume, scalar_offset)
layer_name = self.layer_name or "Scalar"
layer = create_layer(array=array,
layer = create_layer(volume=volume,
layer_name=f"{container_name}_{layer_name}",
layer_type="scalar")
@@ -523,12 +445,18 @@ class ImportVolumeDataDialog(bpy.types.Operator):
to_layer_node.inputs['Scalar Max'].default_value = orig_max
to_layer_node.inputs['Scalar Min'].default_value = orig_min
output_node = get_node_by_type(container_node_tree.nodes,
'NodeGroupOutput')[0]
# Deselect all nodes first
for node in container_node_tree.nodes:
if node.select:
node.select = False
mask_node = custom_nodes.add_node(container_node_tree.nodes,
'BioxelNodes_MaskByThreshold')
mask_node.label = layer_name
mask_node.inputs[0].default_value = layer
# Connect to output if no output linked
output_node = get_node_by_type(container_node_tree.nodes,
'NodeGroupOutput')[0]
if len(output_node.inputs[0].links) == 0:
container_node_tree.links.new(mask_node.outputs[0],
output_node.inputs[0])
@@ -538,50 +466,64 @@ class ImportVolumeDataDialog(bpy.types.Operator):
# Change render setting for better result
if preferences.do_change_render_setting and is_first_import:
bpy.context.scene.render.engine = 'CYCLES'
bpy.context.scene.cycles.volume_bounces = 12
bpy.context.scene.cycles.transparent_max_bounces = 16
bpy.context.scene.cycles.volume_preview_step_rate = 10
try:
bpy.context.scene.cycles.volume_bounces = 12
bpy.context.scene.cycles.transparent_max_bounces = 16
bpy.context.scene.cycles.volume_preview_step_rate = 10
bpy.context.scene.cycles.volume_step_rate = 10
bpy.context.scene.eevee.volumetric_tile_size = '2'
bpy.context.scene.eevee.volumetric_shadow_samples = 128
bpy.context.scene.eevee.volumetric_samples = 256
except:
pass
self.report({"INFO"}, "Successfully Imported")
return {'FINISHED'}
def invoke(self, context, event):
context.window_manager.invoke_props_dialog(self, width=500)
if self.read_as == "labels":
volume_dtype = "Label"
elif self.read_as == "scalar":
volume_dtype = "Scalar"
title = f"Import '{volume_dtype}' Layer (Add to Container: {self.container})" \
if self.container != "" else f"Import '{volume_dtype}' Layer (Init a Container)"
context.window_manager.invoke_props_dialog(self,
width=500,
title=title)
return {'RUNNING_MODAL'}
def draw(self, context):
layer_shape = get_layer_shape(
self.bioxel_size, self.orig_shape, self.orig_spacing)
layer_shape = get_layer_shape(self.bioxel_size,
self.orig_shape,
self.orig_spacing)
layer_size = get_layer_size(layer_shape,
self.bioxel_size,
self.scene_scale)
bioxel_count = layer_shape[0] * layer_shape[1] * layer_shape[2]
text = f"Shape will be: {str(layer_shape)} {bioxel_count:,} "
layer_shape_text = f"Shape will be: {str(layer_shape)} {bioxel_count:,} "
if bioxel_count > 100000000:
text += "**TOO LARGE!**"
layer_shape_text += "**TOO LARGE!**"
layer_size_text = f"Size will be: ({layer_size[0]:.2f}, {layer_size[1]:.2f}, {layer_size[2]:.2f}) m"
layout = self.layout
panel = layout.box()
panel.prop(self, "container_name")
if self.container == "":
panel.prop(self, "container_name")
panel.prop(self, "layer_name")
panel = layout.box()
panel.prop(self, "resample_method")
panel.prop(self, "bioxel_size")
row = panel.row()
row.prop(self, "orig_spacing")
panel.label(text=text)
panel.label(text=layer_shape_text)
panel = layout.box()
panel.prop(self, "do_orient")
panel = layout.box()
panel.prop(self, "read_as")
if self.read_as == "labels":
...
else:
panel.prop(self, "invert_scalar")
panel = layout.box()
panel.prop(self, "scene_scale")
if self.container == "":
panel = layout.box()
panel.prop(self, "scene_scale")
panel.label(text=layer_size_text)
def get_series_ids(self, context):
@@ -607,6 +549,13 @@ class ParseVolumeData(bpy.types.Operator):
directory: bpy.props.StringProperty(subtype='DIR_PATH') # type: ignore
container: bpy.props.StringProperty() # type: ignore
read_as: bpy.props.EnumProperty(
name="Read as",
default="scalar",
items=[("scalar", "Scalar", ""),
("labels", "Labels", "")]
) # type: ignore
series_id: bpy.props.EnumProperty(
name="Select Series",
items=get_series_ids
@@ -622,31 +571,24 @@ class ParseVolumeData(bpy.types.Operator):
return {'CANCELLED'}
print("Collecting Meta Data...")
image, name = read_image(self.filepath, self.series_id)
stats_table = [("Shape", str(image.GetSize())),
("Spacing", str(image.GetSpacing())),
("Origin", str(image.GetOrigin())),
("Direction", str(image.GetDirection())),
("Data Type", image.GetPixelIDTypeAsString())]
for k in image.GetMetaDataKeys():
stats_table.append((k, str(image.GetMetaData(k))))
print("Meta Data:")
for stats in stats_table:
print("| {: >20} | {: >100} |".format(*stats))
volume, meta = parse_volume_data(self.filepath)
do_orient = ext not in SEQUENCE_EXTS or ext in DICOM_EXTS
orig_shape = image.GetSize()
orig_spacing = image.GetSpacing()
orig_shape = meta['shape']
orig_spacing = meta['spacing']
min_size = min(orig_spacing[0], orig_spacing[1], orig_spacing[2])
bioxel_size = max(min_size, 1.0)
layer_size = get_layer_size(orig_shape,
bioxel_size)
log10 = math.floor(math.log10(max(*layer_size)))
scene_scale = math.pow(10, -log10)
if self.container:
container = bpy.data.objects[self.container]
container_name = container.name
else:
container_name = name
container_name = meta['name']
bpy.ops.bioxelnodes.import_volume_data_dialog(
'INVOKE_DEFAULT',
@@ -657,7 +599,9 @@ class ParseVolumeData(bpy.types.Operator):
bioxel_size=bioxel_size,
series_id=self.series_id or "",
do_orient=do_orient,
container=self.container
container=self.container,
read_as=self.read_as,
scene_scale=scene_scale
)
self.report({"INFO"}, "Successfully Readed.")
@@ -705,21 +649,32 @@ class ParseVolumeData(bpy.types.Operator):
text="Please be patient...")
class ImportVolumeData(bpy.types.Operator):
bl_idname = "bioxelnodes.import_volume_data"
bl_label = "Volume Data as Bioxel Layer"
bl_description = "Import Volume Data as Bioxel Layer"
class ImportVolumeData():
bl_options = {'UNDO'}
filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
directory: bpy.props.StringProperty(subtype='DIR_PATH') # type: ignore
read_as = "scalar"
def execute(self, context):
bpy.ops.bioxelnodes.parse_volume_data(
'INVOKE_DEFAULT',
filepath=self.filepath,
directory=self.directory
)
containers = get_container_from_selection()
if len(containers) > 0:
bpy.ops.bioxelnodes.parse_volume_data(
'INVOKE_DEFAULT',
filepath=self.filepath,
directory=self.directory,
container=containers[0].name,
read_as=self.read_as
)
else:
bpy.ops.bioxelnodes.parse_volume_data(
'INVOKE_DEFAULT',
filepath=self.filepath,
directory=self.directory
)
return {'FINISHED'}
def invoke(self, context, event):
@@ -727,6 +682,20 @@ class ImportVolumeData(bpy.types.Operator):
return {'RUNNING_MODAL'}
class ImportAsScalarLayer(bpy.types.Operator, ImportVolumeData):
bl_idname = "bioxelnodes.import_as_scalar_layer"
bl_label = "Import as Scale Layer"
bl_description = "Import Volume Data to Container as Scale Layer"
read_as = "scalar"
class ImportAsLabelLayer(bpy.types.Operator, ImportVolumeData):
bl_idname = "bioxelnodes.import_as_label_layer"
bl_label = "Import as Label Layer"
bl_description = "Import Volume Data to Container as Label Layer"
read_as = "labels"
try:
class BIOXELNODES_FH_ImportVolumeData(bpy.types.FileHandler):
bl_idname = "BIOXELNODES_FH_ImportVolumeData"
@@ -743,8 +712,8 @@ except:
class AddVolumeData(bpy.types.Operator):
bl_idname = "bioxelnodes.add_volume_data"
bl_label = "Add Volume Data to Container"
bl_description = "Add Volume Data to Container"
bl_label = "Import as Bioxel Layer"
bl_description = "Import additional Volume Data to Container"
bl_options = {'UNDO'}
filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
@@ -752,17 +721,17 @@ class AddVolumeData(bpy.types.Operator):
@classmethod
def poll(cls, context):
container = get_container(bpy.context.active_object)
return True if container else False
containers = get_container_from_selection()
return len(containers) > 0
def execute(self, context):
container = get_container(bpy.context.active_object)
containers = get_container_from_selection()
bpy.ops.bioxelnodes.parse_volume_data(
'INVOKE_DEFAULT',
filepath=self.filepath,
directory=self.directory,
container=container.name
container=containers[0].name
)
return {'FINISHED'}
@@ -771,9 +740,9 @@ class AddVolumeData(bpy.types.Operator):
return {'RUNNING_MODAL'}
class ExportVDB(bpy.types.Operator):
bl_idname = "bioxelnodes.export_vdb"
bl_label = "Bioxel Layer as VDB"
class ExportVolumeData(bpy.types.Operator):
bl_idname = "bioxelnodes.export_volume_data"
bl_label = "Export Layer"
bl_description = "Export Bioxel Layer as VDB"
bl_options = {'UNDO'}