feat: add more format support
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221
bioxelnodes/io_points.py
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221
bioxelnodes/io_points.py
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# TODO: WIP
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import bpy
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import bmesh
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def create_points_obj(points, name="points"):
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bpy.ops.mesh.primitive_cube_add(
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enter_editmode=False, align='WORLD', location=(0, 0, 0), scale=(1, 1, 1)
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)
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obj = bpy.context.active_object
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mesh = obj.data
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bm = bmesh.new()
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value_layer = bm.verts.layers.float.new('value')
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for point in points:
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pos = point['pos']
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value = point['value']
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vert = bm.verts.new(pos) # add a new vert
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vert[value_layer] = value
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# make the bmesh the object's mesh
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bm.to_mesh(mesh)
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bm.free() # always do this when finished
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return obj
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# class ImportDICOMPointsDialog(bpy.types.Operator):
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# bl_idname = "bioxelnodes.import_dicom_points_dialog"
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# bl_label = "Volume Data as Bioxels"
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# bl_description = "Import Volume Data as Bioxels (VDB)"
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# bl_options = {'UNDO'}
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# filepath: bpy.props.StringProperty(
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# subtype="FILE_PATH",
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# options={'HIDDEN'}
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# ) # type: ignore
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# bioxels_shape: bpy.props.IntVectorProperty(
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# name="Bioxels Shape (ReadOnly)",
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# min=0,
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# default=(100, 100, 100)
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# ) # type: ignore
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# bioxel_size: bpy.props.FloatProperty(
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# name="Bioxel Size",
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# soft_min=0.1, soft_max=10.0,
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# min=1e-2, max=1e2,
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# default=1,
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# update=on_bioxel_size_changed
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# ) # type: ignore
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# orig_spacing: bpy.props.FloatVectorProperty(
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# name="Original Spacing",
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# default=(1, 1, 1),
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# update=on_orig_spacing_changed
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# ) # type: ignore
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# orig_shape: bpy.props.IntVectorProperty(
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# name="Original Shape",
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# default=(100, 100, 100),
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# options={'HIDDEN'}
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# ) # type: ignore
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# auto: bpy.props.BoolProperty(
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# name="Auto Setting",
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# default=False,
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# options={'HIDDEN'}
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# ) # type: ignore
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# scene_scale: bpy.props.FloatProperty(
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# name="Scene Scale",
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# soft_min=0.001, soft_max=100.0,
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# min=1e-6, max=1e6,
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# default=0.01,
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# ) # type: ignore
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# do_add_segmentnode: bpy.props.BoolProperty(
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# name="Add Segment Node",
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# default=True,
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# ) # type: ignore
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# do_change_render_setting: bpy.props.BoolProperty(
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# name="Change Render Setting",
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# default=True,
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# ) # type: ignore
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# def execute(self, context):
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# files = get_data_files(self.filepath)
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# name = Path(self.filepath).parent.name
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# image = sitk.ReadImage(files)
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# bioxel_size = float(self.bioxel_size)
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# orig_spacing = tuple(self.orig_spacing)
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# image_spacing = image.GetSpacing()
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# image_shape = image.GetSize()
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# bioxels_spacing = (
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# image_spacing[0] / orig_spacing[0] * bioxel_size,
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# image_spacing[1] / orig_spacing[1] * bioxel_size,
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# image_spacing[2] / orig_spacing[2] * bioxel_size
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# )
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# bioxels_shape = (
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# int(image_shape[0] / bioxel_size * orig_spacing[0]),
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# int(image_shape[1] / bioxel_size * orig_spacing[1]),
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# int(image_shape[2] / bioxel_size * orig_spacing[2]),
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# )
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# print("Resampling...")
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# image = sitk.Resample(
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# image1=image,
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# size=bioxels_shape,
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# transform=sitk.Transform(),
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# interpolator=sitk.sitkLinear,
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# outputOrigin=image.GetOrigin(),
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# outputSpacing=bioxels_spacing,
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# outputDirection=image.GetDirection(),
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# defaultPixelValue=0,
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# outputPixelType=image.GetPixelID(),
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# )
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# print("Orienting to RAS...")
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# image = sitk.DICOMOrient(image, 'RAS')
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# array = sitk.GetArrayFromImage(image)
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# orig_dtype = str(array.dtype)
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# print(f"Coverting Dtype from {orig_dtype} to float...")
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# array = array.astype(float)
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# # ITK indices, by convention, are [i,j,k] while NumPy indices are [k,j,i]
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# # https://www.slicer.org/wiki/Coordinate_systems
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# # ITK Numpy 3D
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# # R (ight) i -> k -> x
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# # A (nterior) j -> j -> y
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# # S (uperior) k -> i -> z
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# array = np.transpose(array)
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# bioxels_max = float(np.max(array))
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# bioxels_min = float(np.min(array))
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# bioxels_shape = array.shape
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# print("Bioxel Size:", bioxel_size)
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# print("Bioxels Shape:", bioxels_shape)
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# bioxels_offset = 0.0
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# if bioxels_min < 0 and orig_dtype[0] != "u":
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# bioxels_offset = -bioxels_min
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# array = array + np.full_like(array, bioxels_offset)
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# bioxels_max = float(np.max(array))
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# bioxels_min = float(np.min(array))
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# print("Offseted Max:", bioxels_max)
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# print("Offseted Min:", bioxels_min)
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# points = []
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# for x in range(array.shape[0]):
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# for y in range(array.shape[1]):
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# for z in range(array.shape[2]):
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# points.append({
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# "pos": (x, y, z),
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# "value": array[x, y, z],
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# })
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# # # Build VDB
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# # grid = vdb.FloatGrid()
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# # grid.copyFromArray(array.copy())
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# # # After sitk.DICOMOrient(), origin and direction will also orient base on LPS
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# # # so we need to convert them into RAS
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# # mat_lps2ras = axis_conversion(
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# # from_forward='-Z',
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# # from_up='-Y',
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# # to_forward='-Z',
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# # to_up='Y'
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# # ).to_4x4()
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# # mat_location = mathutils.Matrix.Translation(
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# # mathutils.Vector(image.GetOrigin())
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# # )
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# # mat_rotation = mathutils.Matrix(
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# # np.array(image.GetDirection()).reshape((3, 3))
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# # ).to_4x4()
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# # mat_scale = mathutils.Matrix.Scale(
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# # bioxel_size, 4
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# # )
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# # transfrom = mat_lps2ras @ mat_location @ mat_rotation @ mat_scale
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# obj = create_points_obj(points)
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# # Make transformation
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# scene_scale = float(self.scene_scale)
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# # (S)uperior -Z -> Y
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# # (A)osterior Y -> Z
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# mat_ras2blender = axis_conversion(
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# from_forward='-Z',
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# from_up='Y',
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# to_forward='Y',
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# to_up='Z'
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# ).to_4x4()
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# mat_scene_scale = mathutils.Matrix.Scale(
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# scene_scale, 4
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# )
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# obj.matrix_world = mat_ras2blender @ mat_scene_scale
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# self.report({"INFO"}, "Successfully Imported")
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# return {'FINISHED'}
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# def invoke(self, context, event):
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# # print(tuple(self.orig_shape))
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# self.auto = True
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# self.bioxel_size = 1
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# context.window_manager.invoke_props_dialog(self)
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# return {'RUNNING_MODAL'}
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