971 lines
36 KiB
Python
971 lines
36 KiB
Python
import math
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import bpy
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import shutil
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import threading
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import numpy as np
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from pathlib import Path
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from ..exceptions import CancelledByUser
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from ..props import BIOXELNODES_Series
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from ..bioxelutils.common import (get_all_layer_objs, get_container_obj,
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get_layer_obj, is_incompatible)
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from ..bioxelutils.container import (Container,
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add_layers,
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container_to_obj)
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from ..bioxel.layer import Layer
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from ..bioxel.parse import (DICOM_EXTS, SUPPORT_EXTS,
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get_ext, parse_volumetric_data)
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from ..utils import (get_cache_dir,
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progress_update, progress_bar,
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select_object)
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# 3rd-party
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import SimpleITK as sitk
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import transforms3d
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def get_layer_shape(bioxel_size: float, orig_shape: tuple, orig_spacing: tuple):
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shape = (int(orig_shape[0] / bioxel_size * orig_spacing[0]),
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int(orig_shape[1] / bioxel_size * orig_spacing[1]),
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int(orig_shape[2] / bioxel_size * orig_spacing[2]))
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return (shape[0] if shape[0] > 0 else 1,
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shape[1] if shape[1] > 0 else 1,
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shape[2] if shape[2] > 0 else 1)
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def get_layer_size(shape: tuple, bioxel_size: float, scale: float = 1.0):
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size = (float(shape[0] * bioxel_size * scale),
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float(shape[1] * bioxel_size * scale),
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float(shape[2] * bioxel_size * scale))
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return size
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"""
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ImportVolumetricData
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-> ParseVolumetricData -> ImportVolumetricDataDialog
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FH_ImportVolumetricData
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start import parse data execute import
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"""
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class ImportVolumetricData():
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bl_options = {'UNDO'}
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filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
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read_as = "SCALAR"
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def execute(self, context):
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data_path = Path(self.filepath).resolve()
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ext = get_ext(data_path)
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if ext not in SUPPORT_EXTS:
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self.report({"WARNING"}, "Not supported format.")
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return {'CANCELLED'}
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bpy.ops.bioxelnodes.parse_volumetric_data('INVOKE_DEFAULT',
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filepath=self.filepath,
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skip_read_as=True,
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read_as=self.read_as)
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return {'FINISHED'}
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def invoke(self, context, event):
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context.window_manager.fileselect_add(self)
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return {'RUNNING_MODAL'}
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class ImportAsScalar(bpy.types.Operator, ImportVolumetricData):
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bl_idname = "bioxelnodes.import_as_scalar"
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bl_label = "Import as Scalar"
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bl_description = "Import Volumetric Data to Container as Scalar"
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bl_icon = "EVENT_S"
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read_as = "SCALAR"
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class ImportAsLabel(bpy.types.Operator, ImportVolumetricData):
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bl_idname = "bioxelnodes.import_as_label"
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bl_label = "Import as Label"
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bl_description = "Import Volumetric Data to Container as Label"
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bl_icon = "EVENT_L"
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read_as = "LABEL"
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class ImportAsColor(bpy.types.Operator, ImportVolumetricData):
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bl_idname = "bioxelnodes.import_as_color"
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bl_label = "Import as Label"
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bl_description = "Import Volumetric Data to Container as Label"
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bl_icon = "EVENT_C"
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read_as = "COLOR"
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class BIOXELNODES_FH_ImportVolumetricData(bpy.types.FileHandler):
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bl_idname = "BIOXELNODES_FH_ImportVolumetricData"
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bl_label = "File handler for dicom import"
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bl_import_operator = "bioxelnodes.parse_volumetric_data"
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bl_file_extensions = ";".join(SUPPORT_EXTS)
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@classmethod
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def poll_drop(cls, context):
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if not context.area:
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return False
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if context.area.type == 'VIEW_3D':
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return True
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elif context.area.type == 'NODE_EDITOR':
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container_obj = get_container_obj(context.object)
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return container_obj is not None
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else:
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return False
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def get_series_ids(self, context):
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items = []
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for index, series_id in enumerate(self.series_ids):
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items.append((
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series_id.id,
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series_id.label,
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"",
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index
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))
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return items
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class ParseVolumetricData(bpy.types.Operator):
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bl_idname = "bioxelnodes.parse_volumetric_data"
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bl_label = "Import Volumetric Data (BioxelNodes)"
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bl_description = "Import Volumetric Data as Layer"
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bl_options = {'UNDO'}
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meta = None
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label_count = 0
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dtype = None
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thread = None
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_timer = None
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progress: bpy.props.FloatProperty(name="Progress",
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options={"SKIP_SAVE"},
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default=1) # type: ignore
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filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
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skip_read_as: bpy.props.BoolProperty(name="Skip Read As",
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default=False,
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options={"SKIP_SAVE"}) # type: ignore
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skip_series_select: bpy.props.BoolProperty(name="Skip Sries Select",
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default=True,
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options={"SKIP_SAVE"}) # type: ignore
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read_as: bpy.props.EnumProperty(name="Read as",
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default="SCALAR",
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items=[("SCALAR", "Scalar", ""),
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("LABEL", "Labels", ""),
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("COLOR", "Color", "")]) # type: ignore
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series_id: bpy.props.EnumProperty(name="Select Series",
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items=get_series_ids) # type: ignore
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series_ids: bpy.props.CollectionProperty(
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type=BIOXELNODES_Series) # type: ignore
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def execute(self, context):
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if is_incompatible():
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self.report({"ERROR"},
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"Current addon verison is not compatible to this file. If you insist on editing this file please keep the same addon version")
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return {'CANCELLED'}
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if not self.filepath:
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self.report({"WARNING"}, "No file selected.")
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return {'CANCELLED'}
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data_path = Path(self.filepath).resolve()
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ext = get_ext(data_path)
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if ext not in SUPPORT_EXTS:
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self.report({"WARNING"}, "Not supported format.")
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return {'CANCELLED'}
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print("Collecting Meta Data...")
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def parse_volumetric_data_func(self, context, cancel):
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def progress_callback(factor, text):
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if cancel():
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raise CancelledByUser
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progress_update(context, factor, text)
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try:
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series_id = self.series_id if self.series_id != "empty" else ""
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data, meta = parse_volumetric_data(data_file=self.filepath,
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series_id=series_id,
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progress_callback=progress_callback)
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except CancelledByUser:
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return
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except Exception as e:
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self.has_error = e
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return
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if cancel():
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return
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self.meta = meta
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self.label_count = int(np.max(data))
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self.dtype = data.dtype
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# Init cancel flag
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self.is_cancelled = False
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self.has_error = None
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# Create the thread
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self.thread = threading.Thread(target=parse_volumetric_data_func,
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args=(self, context, lambda: self.is_cancelled))
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# Start the thread
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self.thread.start()
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# Add a timmer for modal
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self._timer = context.window_manager.event_timer_add(time_step=0.1,
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window=context.window)
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# Append progress bar to status bar
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bpy.types.STATUSBAR_HT_header.append(progress_bar)
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# Start modal handler
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context.window_manager.modal_handler_add(self)
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return {'RUNNING_MODAL'}
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def modal(self, context, event):
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# Check if user press 'ESC'
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if event.type == 'ESC':
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self.is_cancelled = True
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progress_update(context, 0.0, "Canceling...")
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return {'PASS_THROUGH'}
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# Check if is the timer time
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if event.type != 'TIMER':
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return {'PASS_THROUGH'}
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# Force update status bar
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bpy.context.workspace.status_text_set_internal(None)
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# Check if thread is still running
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if self.thread.is_alive():
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return {'PASS_THROUGH'}
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# Release the thread
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self.thread.join()
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# Remove the timer
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context.window_manager.event_timer_remove(self._timer)
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# Remove the progress bar from status bar
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bpy.types.STATUSBAR_HT_header.remove(progress_bar)
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progress_update(context, 1.0)
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# Check if thread is cancelled by user
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if self.is_cancelled:
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self.report({"WARNING"}, "Canncelled by user.")
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return {'CANCELLED'}
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# Check if thread is cancelled by user
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if self.has_error:
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raise self.has_error
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# Check if has return
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if self.meta is None:
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self.report({"ERROR"}, "Some thing went wrong.")
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return {'CANCELLED'}
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# If not canncelled...
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for key, value in self.meta.items():
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print(f"{key}: {value}")
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if self.read_as == "LABEL":
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if self.label_count > 100 or self.dtype.kind not in ["i", "u"]:
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self.report({"ERROR"}, "Invaild label data.")
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return {'CANCELLED'}
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orig_shape = self.meta['xyz_shape']
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orig_spacing = self.meta['spacing']
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min_log10 = math.floor(math.log10(min(*orig_spacing)))
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max_log10 = math.floor(math.log10(max(*orig_spacing)))
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# min_space = min(*orig_spacing)
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# max_space = max(*orig_spacing)
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if orig_spacing[2] == 1 and min_log10 < -1:
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orig_spacing = (orig_spacing[0] * math.pow(10, -min_log10-2),
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orig_spacing[1] * math.pow(10, -min_log10-2),
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1)
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elif min_log10 > 0:
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orig_spacing = (orig_spacing[0] * math.pow(10, -min_log10-1),
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orig_spacing[1] * math.pow(10, -min_log10-1),
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orig_spacing[2] * math.pow(10, -min_log10-1))
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elif max_log10 < 0:
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orig_spacing = (orig_spacing[0] * math.pow(10, -max_log10-1),
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orig_spacing[1] * math.pow(10, -max_log10-1),
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orig_spacing[2] * math.pow(10, -max_log10-1))
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bioxel_size = max(min(*orig_spacing), 1.0)
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layer_shape = get_layer_shape(bioxel_size,
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orig_shape,
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orig_spacing)
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layer_size = get_layer_size(layer_shape,
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bioxel_size,
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0.01)
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min_log10 = math.floor(math.log10(min(*layer_size)))
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max_log10 = math.floor(math.log10(max(*layer_size)))
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if min_log10 > 0:
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scene_scale = math.pow(10, -min_log10-2)
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elif max_log10 < 0:
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scene_scale = math.pow(10, -max_log10-2)
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else:
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scene_scale = 0.01
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if context.area.type == "NODE_EDITOR":
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container_obj = context.object
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container_name = container_obj.name
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container_obj_name = container_name
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else:
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container_name = self.meta['name']
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container_obj_name = ""
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series_id = self.series_id if self.series_id != "empty" else ""
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bpy.ops.bioxelnodes.import_volumetric_data_dialog(
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'INVOKE_DEFAULT',
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filepath=self.filepath,
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container_name=container_name,
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layer_name=self.meta['description'],
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orig_shape=orig_shape,
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orig_spacing=orig_spacing,
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bioxel_size=bioxel_size,
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series_id=series_id,
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frame_count=self.meta['frame_count'],
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channel_count=self.meta['channel_count'],
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container_obj_name=container_obj_name,
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read_as=self.read_as,
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label_count=self.label_count,
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scene_scale=scene_scale
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)
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self.report({"INFO"}, "Successfully Readed.")
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return {'FINISHED'}
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def invoke(self, context, event):
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# why not report in execute?
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# If this operator is executing, a new execute will when pre-one done.
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if context.window_manager.bioxelnodes_progress_factor < 1:
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print("A process is executing, please wait for it to finish.")
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return {'CANCELLED'}
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if not self.filepath:
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return self.execute(context)
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data_path = Path(self.filepath).resolve()
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ext = get_ext(data_path)
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if context.area.type == "NODE_EDITOR":
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title = f"Add to **{context.object.name}**"
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else:
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title = "Init a Container"
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# Series Selection
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if ext in DICOM_EXTS:
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data_dirpath = data_path.parent
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reader = sitk.ImageSeriesReader()
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reader.MetaDataDictionaryArrayUpdateOn()
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reader.LoadPrivateTagsOn()
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series_ids = reader.GetGDCMSeriesIDs(str(data_dirpath))
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series_items = {}
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for series_id in series_ids:
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series_files = reader.GetGDCMSeriesFileNames(
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str(data_dirpath), series_id)
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single = sitk.ImageFileReader()
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single.SetFileName(series_files[0])
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single.LoadPrivateTagsOn()
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single.ReadImageInformation()
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def get_meta(key):
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try:
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stirng = single.GetMetaData(key).removesuffix(" ")
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stirng.encode('utf-8')
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if stirng in ["No study description",
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"No series description",
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""]:
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return "Unknown"
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else:
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return stirng
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except:
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return "Unknown"
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study_description = get_meta("0008|1030")
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series_description = get_meta("0008|103e")
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series_modality = get_meta("0008|0060")
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size_x = get_meta("0028|0011")
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size_y = get_meta("0028|0010")
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count = get_meta("0020|0013")
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count = count if count != "Unknown" else 1
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# some series image count = 0 ????
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if int(count) == 0:
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continue
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# series_id cannot be "" in blender selection
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if series_id == "":
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series_id = "empty"
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label = "{:<20} {:>1}".format(f"{study_description}>{series_description}({series_modality})",
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f"({size_x}x{size_y})x{count}")
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series_items[series_id] = label
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for series_id, label in series_items.items():
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series_item = self.series_ids.add()
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series_item.id = series_id
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series_item.label = label
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|
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if len(series_items.keys()) > 1:
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self.skip_series_select = False
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context.window_manager.invoke_props_dialog(self,
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width=400,
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title=title)
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return {'RUNNING_MODAL'}
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elif len(series_items.keys()) == 1:
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self.series_id = list(series_items.keys())[0]
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else:
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self.report({"ERROR"}, "Get no vaild series.")
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return {'CANCELLED'}
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|
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if self.skip_read_as:
|
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return self.execute(context)
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else:
|
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context.window_manager.invoke_props_dialog(self,
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width=400,
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title=title)
|
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return {'RUNNING_MODAL'}
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|
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def draw(self, context):
|
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layout = self.layout
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if not self.skip_read_as:
|
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layout.label(
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text='What kind is the data read as?')
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layout.prop(self, "read_as")
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if not self.skip_series_select:
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layout.label(text='Which series to import?')
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layout.prop(self, "series_id")
|
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|
|
|
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def get_frame_sources(self, context):
|
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items = [("-1", "First Frame (1 frame)", "")]
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orig_shape = tuple(self.orig_shape)
|
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if self.frame_count > 1:
|
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items.append(("0", f"Frames ({self.frame_count} frames)", ""))
|
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elif self.frame_count == 1 and self.channel_count > 1:
|
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items.append(("4", f"Channels ({self.channel_count} frames)", ""))
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elif self.frame_count == 1 and self.channel_count == 1:
|
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items.append(("1", f"X-axis ({orig_shape[0]} frames)", ""))
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items.append(("2", f"Y-axis ({orig_shape[1]} frames)", ""))
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items.append(("3", f"Z-axis ({orig_shape[2]} frames)", ""))
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|
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return items
|
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|
|
|
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class ImportVolumetricDataDialog(bpy.types.Operator):
|
|
bl_idname = "bioxelnodes.import_volumetric_data_dialog"
|
|
bl_label = "Import Volumetric Data"
|
|
bl_description = "Import Volumetric Data as Layer"
|
|
bl_options = {'UNDO'}
|
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|
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layers = None
|
|
thread = None
|
|
_timer = None
|
|
|
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filepath: bpy.props.StringProperty(subtype="FILE_PATH") # type: ignore
|
|
|
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container_name: bpy.props.StringProperty(
|
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name="Container Name") # type: ignore
|
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|
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layer_name: bpy.props.StringProperty(name="Layer Name") # type: ignore
|
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|
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series_id: bpy.props.StringProperty() # type: ignore
|
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|
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container_obj_name: bpy.props.StringProperty() # type: ignore
|
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|
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frame_count: bpy.props.IntProperty() # type: ignore
|
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|
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channel_count: bpy.props.IntProperty() # type: ignore
|
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|
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label_count: bpy.props.IntProperty() # type: ignore
|
|
|
|
read_as: bpy.props.EnumProperty(name="Read as",
|
|
default="SCALAR",
|
|
items=[("SCALAR", "Scalar", ""),
|
|
("LABEL", "Labels", ""),
|
|
("COLOR", "Color", "")]) # type: ignore
|
|
|
|
bioxel_size: bpy.props.FloatProperty(name="Bioxel Size (Larger size means small resolution)",
|
|
soft_min=0.1, soft_max=10.0,
|
|
min=0.1, max=1e2,
|
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default=1) # type: ignore
|
|
|
|
orig_spacing: bpy.props.FloatVectorProperty(name="Original Spacing",
|
|
default=(1, 1, 1)) # type: ignore
|
|
|
|
orig_shape: bpy.props.IntVectorProperty(name="Original Shape",
|
|
default=(100, 100, 100)) # type: ignore
|
|
|
|
scene_scale: bpy.props.FloatProperty(name="Scene Scale (Bioxel Unit pre Blender Unit)",
|
|
soft_min=0.0001, soft_max=10.0,
|
|
min=1e-6, max=1e6,
|
|
default=0.01) # type: ignore
|
|
|
|
remap: bpy.props.BoolProperty(name="Remap to 0~1",
|
|
default=False) # type: ignore
|
|
|
|
split_channel: bpy.props.BoolProperty(name="Split Channels",
|
|
default=False) # type: ignore
|
|
|
|
frame_source: bpy.props.EnumProperty(name="Frame From",
|
|
items=get_frame_sources) # type: ignore
|
|
|
|
def execute(self, context):
|
|
def import_volumetric_data_func(self, context, cancel):
|
|
progress_update(context, 0.0, "Parsing Volumetirc Data...")
|
|
|
|
def progress_callback(factor, text):
|
|
if cancel():
|
|
raise CancelledByUser
|
|
progress_update(context, factor*0.2, text)
|
|
|
|
try:
|
|
data, meta = parse_volumetric_data(data_file=self.filepath,
|
|
series_id=self.series_id,
|
|
progress_callback=progress_callback)
|
|
except CancelledByUser:
|
|
return
|
|
except Exception as e:
|
|
self.has_error = e
|
|
return
|
|
|
|
if cancel():
|
|
return
|
|
|
|
shape = get_layer_shape(self.bioxel_size,
|
|
self.orig_shape,
|
|
self.orig_spacing)
|
|
|
|
mat_scale = transforms3d.zooms.zfdir2aff(self.bioxel_size)
|
|
affine = np.dot(meta['affine'], mat_scale)
|
|
kind = self.read_as.lower()
|
|
|
|
if cancel():
|
|
return
|
|
|
|
# change shape as sequence or not
|
|
if self.frame_source == "-1":
|
|
data = data[0:1, :, :, :, :]
|
|
elif self.frame_source == "0":
|
|
# frame as frame
|
|
pass
|
|
elif self.frame_source == "1":
|
|
# X as frame
|
|
data = data.transpose(1, 0, 2, 3, 4)
|
|
shape = (1, shape[1], shape[2])
|
|
elif self.frame_source == "2":
|
|
# Y as frame
|
|
data = data.transpose(2, 1, 0, 3, 4)
|
|
shape = (shape[0], 1, shape[2])
|
|
elif self.frame_source == "3":
|
|
# Z as frame
|
|
data = data.transpose(3, 1, 2, 0, 4)
|
|
shape = (shape[0], shape[1], 1)
|
|
else:
|
|
# channel as frame
|
|
data = data.transpose(4, 1, 2, 3, 0)
|
|
|
|
def progress_callback_factory(layer_name, progress, progress_step):
|
|
def progress_callback(frame, total):
|
|
if cancel():
|
|
raise CancelledByUser
|
|
sub_progress_step = progress_step/total
|
|
sub_progress = progress + frame * sub_progress_step
|
|
progress_update(context, sub_progress,
|
|
f"Processing {layer_name} Frame {frame+1}...")
|
|
print(f"Processing {layer_name} Frame {frame+1}...")
|
|
return progress_callback
|
|
|
|
layers = []
|
|
if kind == "label":
|
|
name = self.layer_name or "Label"
|
|
data = data.astype(int)
|
|
label_count = int(np.max(data))
|
|
progress_step = 0.7/label_count
|
|
|
|
for i in range(label_count):
|
|
if cancel():
|
|
return
|
|
|
|
name_i = f"{name}_{i+1}"
|
|
progress = 0.2+i*progress_step
|
|
progress_update(context, progress,
|
|
f"Processing {name_i}...")
|
|
|
|
progress_callback = progress_callback_factory(name_i,
|
|
progress,
|
|
progress_step)
|
|
try:
|
|
layer = Layer(data=data == np.full_like(data, i+1),
|
|
name=name_i,
|
|
kind=kind)
|
|
|
|
layer.resize(shape=shape,
|
|
progress_callback=progress_callback)
|
|
|
|
layer.affine = affine
|
|
|
|
layers.append(layer)
|
|
except CancelledByUser:
|
|
return
|
|
except Exception as e:
|
|
self.has_error = e
|
|
return
|
|
|
|
if kind == "color":
|
|
if np.issubdtype(np.uint8, data.dtype):
|
|
data = np.multiply(data, 1.0 / 256,
|
|
dtype=np.float32)
|
|
elif data.dtype.kind in ['u', 'i']:
|
|
# Convert the normalized array to float dtype
|
|
data = data.astype(np.float32)
|
|
|
|
min_val = data.min()
|
|
max_val = data.max()
|
|
# Avoid division by zero if all values are the same
|
|
if max_val != min_val:
|
|
# Normalize the array to the range (0,1)
|
|
data = (data - min_val) / (max_val - min_val)
|
|
else:
|
|
# If all values are the same, the normalized array will be all zeros
|
|
data = np.zeros_like(data, dtype=np.float32)
|
|
|
|
else:
|
|
data = data.astype(np.float32)
|
|
|
|
name = self.layer_name or "Color"
|
|
if data.shape[4] == 1:
|
|
data = np.repeat(data, repeats=3, axis=4)
|
|
elif data.shape[4] == 2:
|
|
d_shape = list(data.shape)
|
|
d_shape = d_shape[:4] + [1]
|
|
zore = np.zeros(tuple(d_shape), dtype=np.float32)
|
|
data = np.concatenate((data, zore), axis=-1)
|
|
elif data.shape[4] > 3:
|
|
data = data[:, :, :, :, :3]
|
|
|
|
if cancel():
|
|
return
|
|
|
|
progress_update(context, 0.2,
|
|
f"Processing {name}...")
|
|
progress_callback = progress_callback_factory(name,
|
|
0.2,
|
|
0.7)
|
|
|
|
try:
|
|
layer = Layer(data=data,
|
|
name=name,
|
|
kind=kind)
|
|
|
|
layer.resize(shape=shape,
|
|
progress_callback=progress_callback)
|
|
|
|
layer.affine = affine
|
|
|
|
layers.append(layer)
|
|
except CancelledByUser:
|
|
return
|
|
except Exception as e:
|
|
self.has_error = e
|
|
return
|
|
|
|
elif kind == "scalar":
|
|
name = self.layer_name or "Scalar"
|
|
|
|
if self.remap:
|
|
# Convert the normalized array to float dtype
|
|
data = data.astype(np.float32)
|
|
|
|
min_val = data.min()
|
|
max_val = data.max()
|
|
# Avoid division by zero if all values are the same
|
|
if max_val != min_val:
|
|
# Normalize the array to the range (0,1)
|
|
data = (data - min_val) / (max_val - min_val)
|
|
else:
|
|
# If all values are the same, the normalized array will be all zeros
|
|
data = np.zeros_like(data, dtype=np.float32)
|
|
|
|
if self.split_channel:
|
|
progress_step = 0.7/self.channel_count
|
|
|
|
for i in range(self.channel_count):
|
|
if cancel():
|
|
return
|
|
|
|
name_i = f"{name}_{i+1}"
|
|
progress = 0.2 + i*progress_step
|
|
progress_update(context, progress,
|
|
f"Processing {name_i}...")
|
|
progress_callback = progress_callback_factory(name_i,
|
|
progress,
|
|
progress_step)
|
|
try:
|
|
layer = Layer(data=data[:, :, :, :, i:i+1],
|
|
name=name_i,
|
|
kind=kind)
|
|
|
|
layer.resize(shape=shape,
|
|
progress_callback=progress_callback)
|
|
|
|
layer.affine = affine
|
|
|
|
layers.append(layer)
|
|
except CancelledByUser:
|
|
return
|
|
except Exception as e:
|
|
self.has_error = e
|
|
return
|
|
else:
|
|
if cancel():
|
|
return
|
|
|
|
progress_update(context, 0.2,
|
|
f"Processing {name}...")
|
|
progress_callback = progress_callback_factory(name,
|
|
0.2,
|
|
0.7)
|
|
|
|
try:
|
|
layer = Layer(data=data,
|
|
name=name,
|
|
kind=kind)
|
|
|
|
layer.resize(shape=shape,
|
|
progress_callback=progress_callback)
|
|
|
|
layer.affine = affine
|
|
|
|
layers.append(layer)
|
|
except CancelledByUser:
|
|
return
|
|
except Exception as e:
|
|
self.has_error = e
|
|
return
|
|
|
|
if cancel():
|
|
return
|
|
|
|
self.layers = layers
|
|
progress_update(context, 0.9, "Creating Layers...")
|
|
|
|
self.is_cancelled = False
|
|
self.has_error = None
|
|
|
|
self.thread = threading.Thread(target=import_volumetric_data_func,
|
|
args=(self, context, lambda: self.is_cancelled))
|
|
|
|
self.thread.start()
|
|
self._timer = context.window_manager.event_timer_add(time_step=0.1,
|
|
window=context.window)
|
|
bpy.types.STATUSBAR_HT_header.append(progress_bar)
|
|
|
|
context.window_manager.modal_handler_add(self)
|
|
return {'RUNNING_MODAL'}
|
|
|
|
def modal(self, context, event):
|
|
if event.type == 'ESC':
|
|
self.is_cancelled = True
|
|
progress_update(context, 0.0, "Canceling...")
|
|
return {'PASS_THROUGH'}
|
|
|
|
if event.type != 'TIMER':
|
|
return {'PASS_THROUGH'}
|
|
|
|
bpy.context.workspace.status_text_set_internal(None)
|
|
if self.thread.is_alive():
|
|
return {'PASS_THROUGH'}
|
|
|
|
self.thread.join()
|
|
context.window_manager.event_timer_remove(self._timer)
|
|
bpy.types.STATUSBAR_HT_header.remove(progress_bar)
|
|
progress_update(context, 1.0)
|
|
|
|
if self.is_cancelled:
|
|
self.report({"WARNING"}, "Canncelled by user.")
|
|
return {'CANCELLED'}
|
|
|
|
# Check if thread is cancelled by user
|
|
if self.has_error:
|
|
raise self.has_error
|
|
|
|
# Check if has return
|
|
if self.layers is None:
|
|
self.report({"ERROR"}, "Some thing went wrong.")
|
|
return {'CANCELLED'}
|
|
|
|
is_first_import = len(get_all_layer_objs()) == 0
|
|
|
|
if self.container_obj_name:
|
|
container_obj = bpy.data.objects.get(self.container_obj_name)
|
|
if container_obj is None:
|
|
raise Exception("Could not find target container")
|
|
|
|
container_obj = add_layers(self.layers,
|
|
container_obj=container_obj,
|
|
cache_dir=get_cache_dir())
|
|
else:
|
|
name = self.container_name or "Container"
|
|
container = Container(name=name,
|
|
layers=self.layers)
|
|
|
|
step_size = container.layers[0].bioxel_size[0]*10
|
|
container_obj = container_to_obj(container,
|
|
scene_scale=self.scene_scale,
|
|
step_size=step_size,
|
|
cache_dir=get_cache_dir())
|
|
|
|
select_object(container_obj)
|
|
|
|
# Change render setting for better result
|
|
if is_first_import:
|
|
bpy.ops.bioxelnodes.render_setting_preset('EXEC_DEFAULT',
|
|
preset="balance")
|
|
bpy.context.scene.render.engine = 'CYCLES'
|
|
|
|
self.report({"INFO"}, "Successfully Imported")
|
|
return {'FINISHED'}
|
|
|
|
def invoke(self, context, event):
|
|
layer_kind = self.read_as.capitalize()
|
|
title = f"Add to **{self.container_obj_name}**, As {layer_kind}" \
|
|
if self.container_obj_name != "" else f"Init a Container, As {layer_kind}"
|
|
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)
|
|
|
|
orig_shape = tuple(self.orig_shape)
|
|
|
|
# change shape as sequence or not
|
|
channel_count = self.channel_count
|
|
frame_count = self.frame_count
|
|
if self.frame_source == "-1":
|
|
frame_count = 1
|
|
pass
|
|
elif self.frame_source == "0":
|
|
# frame as frame
|
|
pass
|
|
elif self.frame_source == "1":
|
|
frame_count = orig_shape[0]
|
|
layer_shape = (1, layer_shape[1], layer_shape[2])
|
|
elif self.frame_source == "2":
|
|
frame_count = orig_shape[1]
|
|
layer_shape = (layer_shape[0], 1, layer_shape[2])
|
|
elif self.frame_source == "3":
|
|
frame_count = orig_shape[2]
|
|
layer_shape = (layer_shape[0], layer_shape[1], 1)
|
|
else:
|
|
channel_count = 1
|
|
|
|
if self.read_as == "SCALAR":
|
|
layer_count = channel_count if self.split_channel else 1
|
|
channel_count = 1
|
|
elif self.read_as == "LABEL":
|
|
layer_count = self.label_count
|
|
channel_count = 1
|
|
else:
|
|
layer_count = 1
|
|
channel_count = 3
|
|
|
|
bioxel_count = layer_shape[0] * layer_shape[1] * layer_shape[2]
|
|
orig_shape_text = f"[{self.frame_count}, ({orig_shape[0]},{orig_shape[1]},{orig_shape[2]}), {self.channel_count}]"
|
|
layer_shape_text = f"{layer_count} x [{frame_count}, ({layer_shape[0]},{layer_shape[1]},{layer_shape[2]}), {channel_count}]"
|
|
|
|
if bioxel_count > 100000000:
|
|
layer_shape_text += "**TOO LARGE!**"
|
|
|
|
layer_size = get_layer_size(layer_shape,
|
|
self.bioxel_size,
|
|
self.scene_scale)
|
|
layer_size_text = f"Size will be: ({layer_size[0]:.2f}, {layer_size[1]:.2f}, {layer_size[2]:.2f}) m"
|
|
|
|
layout = self.layout
|
|
if self.container_obj_name == "":
|
|
panel = layout.box()
|
|
panel.prop(self, "container_name")
|
|
panel.prop(self, "scene_scale")
|
|
panel.label(text=layer_size_text)
|
|
|
|
panel = layout.box()
|
|
panel.prop(self, "layer_name")
|
|
panel.prop(self, "bioxel_size")
|
|
row = panel.row()
|
|
row.prop(self, "orig_spacing")
|
|
panel.prop(self, "frame_source")
|
|
|
|
if self.read_as == "SCALAR":
|
|
panel.prop(self, "split_channel",
|
|
text=f"Split Channel as Multi Layer")
|
|
|
|
panel.label(
|
|
text="Dimension Order: [Frame, (X-axis,Y-axis,Z-axis), Channel]")
|
|
panel.label(
|
|
text=f"Shape from {orig_shape_text} to {layer_shape_text}")
|
|
|
|
|
|
class ExportVolumetricData(bpy.types.Operator):
|
|
bl_idname = "bioxelnodes.export_volumetric_data"
|
|
bl_label = "Export Layer as VDB"
|
|
bl_description = "Export Layer as VDB"
|
|
bl_options = {'UNDO'}
|
|
|
|
filepath: bpy.props.StringProperty(
|
|
subtype="FILE_PATH"
|
|
) # type: ignore
|
|
|
|
filename_ext = ".vdb"
|
|
|
|
@classmethod
|
|
def poll(cls, context):
|
|
layer_obj = get_layer_obj(bpy.context.active_object)
|
|
return True if layer_obj else False
|
|
|
|
def invoke(self, context, event):
|
|
context.window_manager.fileselect_add(self)
|
|
return {'RUNNING_MODAL'}
|
|
|
|
def execute(self, context):
|
|
layer_obj = get_layer_obj(bpy.context.active_object)
|
|
|
|
filepath = f"{self.filepath.split('.')[0]}.vdb"
|
|
# "//"
|
|
source_dir = bpy.path.abspath(layer_obj.data.filepath)
|
|
|
|
output_path: Path = Path(filepath).resolve()
|
|
source_path: Path = Path(source_dir).resolve()
|
|
# print('output_path', output_path)
|
|
# print('source_path', source_path)
|
|
shutil.copy(source_path, output_path)
|
|
|
|
self.report({"INFO"}, f"Successfully exported to {output_path}")
|
|
|
|
return {'FINISHED'}
|