Ma Nan
ce397b35aa
fix: contrast formulation cause leak of high value fix: empty series_id cause fail to read chore: restructure folder chore!: change layer vars BREAKING CHANGE: not support 4.1 any more
252 lines
7.5 KiB
Python
252 lines
7.5 KiB
Python
from pathlib import Path
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import bpy
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import numpy as np
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from ..bioxel.layer import Layer
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from ..bioxelutils.node import get_nodes_by_type
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from ..bioxelutils.container import add_layers, get_container_obj
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from ..bioxelutils.layer import obj_to_layer, get_container_layer_objs, get_layer_obj
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from .utils import get_preferences, select_object
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def get_layer_prop_value(layer_obj: bpy.types.Object, prop: str):
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try:
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node_group = layer_obj.modifiers[0].node_group
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layer_node = get_nodes_by_type(node_group, "BioxelNodes__Layer")[0]
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return layer_node.inputs[prop].default_value
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except:
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return None
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def get_label_layer_selection(self, context):
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items = [("None", "None", "")]
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container_obj = get_container_obj(bpy.context.active_object)
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for layer_obj in get_container_layer_objs(container_obj):
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if get_layer_prop_value(layer_obj, "kind") == "label":
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items.append((layer_obj.name,
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layer_obj.name,
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""))
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return items
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class LayerOperator():
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bl_options = {'UNDO'}
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base_obj: bpy.types.Object = None
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def add_layer(self, context, layer):
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preferences = get_preferences(context)
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cache_dir = Path(preferences.cache_dir, 'VDBs')
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container_obj = self.base_obj.parent
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add_layers([layer],
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container_obj,
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cache_dir)
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select_object(container_obj)
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def invoke(self, context, event):
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self.base_obj = get_layer_obj(bpy.context.active_object)
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return self.execute(context)
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class ScalarOperator(LayerOperator):
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@classmethod
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def poll(cls, context):
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label_objs = [obj for obj in context.selected_ids
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if get_layer_prop_value(obj, "kind") == "scalar"]
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return True if len(label_objs) > 0 else False
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class LabelOperator(LayerOperator):
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@classmethod
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def poll(cls, context):
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label_objs = [obj for obj in context.selected_ids
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if get_layer_prop_value(obj, "kind") == "label"]
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return True if len(label_objs) > 0 else False
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class SignScalar(bpy.types.Operator, ScalarOperator):
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bl_idname = "bioxelnodes.sign_scalar"
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bl_label = "Sign Scalar"
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bl_description = "Sign the scalar value"
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def execute(self, context):
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base_layer = obj_to_layer(self.base_obj)
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modified_layer = base_layer.copy()
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modified_layer.data = -base_layer.data
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modified_layer.name = f"{base_layer.name}_Signed"
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self.add_layer(context, modified_layer)
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return {'FINISHED'}
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class FillOperator(ScalarOperator):
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def invoke(self, context, event):
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self.base_obj = get_layer_obj(bpy.context.active_object)
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scalar_min = get_layer_prop_value(self.base_obj, "min")
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self.fill_value = min(scalar_min, 0)
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context.window_manager.invoke_props_dialog(self, width=400)
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return {'RUNNING_MODAL'}
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class FillByThreshold(bpy.types.Operator, FillOperator):
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bl_idname = "bioxelnodes.fill_by_threshold"
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bl_label = "Fill Value by Threshold"
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bl_description = "Fill Value by Threshold"
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threshold: bpy.props.FloatProperty(
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name="Threshold",
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soft_min=0, soft_max=1024,
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default=128,
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) # type: ignore
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fill_value: bpy.props.FloatProperty(
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name="Fill Value",
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soft_min=0, soft_max=1024.0,
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default=0,
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) # type: ignore
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invert: bpy.props.BoolProperty(
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name="Invert Area",
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default=True,
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) # type: ignore
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def execute(self, context):
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base_layer = obj_to_layer(self.base_obj)
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data = np.amax(base_layer.data, -1)
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mask = data <= self.threshold \
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if self.invert else data > self.threshold
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modified_layer = base_layer.copy()
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modified_layer.fill(self.fill_value, mask)
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modified_layer.name = f"{base_layer.name}_{self.threshold}-Filled"
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self.add_layer(context, modified_layer)
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return {'FINISHED'}
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class FillByRange(bpy.types.Operator, FillOperator):
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bl_idname = "bioxelnodes.fill_by_range"
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bl_label = "Fill Value by Range"
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bl_description = "Fill Value by Range"
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from_min: bpy.props.FloatProperty(
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name="From Min",
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soft_min=0, soft_max=1024,
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default=128,
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) # type: ignore
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from_max: bpy.props.FloatProperty(
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name="From Max",
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soft_min=0, soft_max=1024,
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default=256,
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) # type: ignore
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fill_value: bpy.props.FloatProperty(
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name="Fill Value",
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soft_min=0, soft_max=1024.0,
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default=0,
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) # type: ignore
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invert: bpy.props.BoolProperty(
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name="Invert Area",
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default=True,
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) # type: ignore
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def execute(self, context):
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base_layer = obj_to_layer(self.base_obj)
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data = np.amax(base_layer.data, -1)
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mask = (data <= self.from_min) | (data >= self.from_max) if self.invert else \
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(data > self.from_min) & (data < self.from_max)
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modified_layer = base_layer.copy()
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modified_layer.fill(self.fill_value, mask)
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modified_layer.name = f"{base_layer.name}_{self.from_min}-{self.from_max}-Filled"
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self.add_layer(context, modified_layer)
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return {'FINISHED'}
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class FillByLabel(bpy.types.Operator, FillOperator):
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bl_idname = "bioxelnodes.fill_by_label"
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bl_label = "Fill Value by Label"
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bl_description = "Fill Value by Label Area"
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label_obj_name: bpy.props.EnumProperty(
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name="Label Layer",
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items=get_label_layer_selection
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) # type: ignore
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fill_value: bpy.props.FloatProperty(
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name="Fill Value",
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soft_min=0, soft_max=1024.0,
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default=0,
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) # type: ignore
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invert: bpy.props.BoolProperty(
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name="Invert Label",
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default=True,
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) # type: ignore
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def execute(self, context):
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label_obj = bpy.data.objects.get(self.label_obj_name)
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if not label_obj:
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self.report({"WARNING"}, "Cannot find any label layer.")
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return {'FINISHED'}
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base_layer = obj_to_layer(self.base_obj)
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label_layer = obj_to_layer(label_obj)
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label_layer.resize(base_layer.shape)
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mask = np.amax(label_layer.data, -1)
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if self.invert:
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mask = 1 - mask
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modified_layer = base_layer.copy()
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modified_layer.fill(self.fill_value, mask)
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modified_layer.name = f"{base_layer.name}_{label_layer.name}-Filled"
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self.add_layer(context, modified_layer)
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return {'FINISHED'}
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class CombineLabels(bpy.types.Operator, LabelOperator):
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bl_idname = "bioxelnodes.combine_labels"
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bl_label = "Combine Labels"
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bl_description = "Combine all selected labels"
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def execute(self, context):
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label_objs = [obj for obj in context.selected_ids
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if get_layer_prop_value(obj, "kind") == "label"]
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if len(label_objs) < 2:
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self.report({"WARNING"}, "Not enough layers.")
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return {'FINISHED'}
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base_obj = label_objs[0]
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label_objs = label_objs[1:]
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container_obj = base_obj.parent
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base_layer = obj_to_layer(base_obj)
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modified_layer = base_layer.copy()
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label_names = [base_layer.name]
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for label_obj in label_objs:
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label_layer = obj_to_layer(label_obj)
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label_layer.resize(base_layer.shape)
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modified_layer.data = np.maximum(base_layer.data, label_layer.data)
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label_names.append(label_layer.name)
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modified_layer.name = f"{'-'.join(label_names)}-Combined"
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self.add_layer(context, modified_layer)
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return {'FINISHED'}
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