Ejemplo n.º 1
0
def getClosestPointDistance(tree, x, y, z):
    closestPoint = [0.0, 0.0, 0.0]
    cellId = vtk.reference(0)
    subId = vtk.reference(0)
    distance = vtk.reference(0)
    tree.FindClosestPoint((x, y, z), closestPoint, cellId, subId, distance)
    return distance
Ejemplo n.º 2
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def CloudMeanDist(source, target):
    # Source contains few points, target contains many
    locator = vtk.vtkCellLocator()
    locator.SetDataSet(target)
    locator.SetNumberOfCellsPerBucket(1)
    locator.BuildLocator()

    nPoints = source.GetNumberOfPoints()
    closestp = vtk.vtkPoints()
    closestp.SetNumberOfPoints(nPoints)

    subId = vtk.reference(0)
    dist2 = vtk.reference(0.0)
    cellId = vtk.reference(0)  # mutable <-> reference
    outPoint = [0.0, 0.0, 0.0]

    for i in range(nPoints):
        locator.FindClosestPoint(source.GetPoint(i), outPoint, cellId, subId,
                                 dist2)
        closestp.SetPoint(i, outPoint)

    totaldist = 0.0
    p1 = [0.0, 0.0, 0.0]
    p2 = [0.0, 0.0, 0.0]

    for i in range(nPoints):
        # RMS
        totaldist = totaldist + vtk.vtkMath.Distance2BetweenPoints(
            source.GetPoint(i), closestp.GetPoint(i))
    return totaldist / nPoints
Ejemplo n.º 3
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def RMS(sourceSurfaceFile, targetSurfaceFile, VTKobj=False):
    # Reading surfaces
    if not VTKobj:
        reader = vtk.vtkPolyDataReader()
        reader.SetFileName(sourceSurfaceFile)
        reader.Update()
        sourceSurface = reader.GetOutput()

        reader = vtk.vtkPolyDataReader()
        reader.SetFileName(targetSurfaceFile)
        reader.Update()
        targetSurface = reader.GetOutput()
    else:
        sourceSurface = sourceSurfaceFile
        targetSurface = targetSurfaceFile

    cellLocator = vtk.vtkCellLocator()
    cellLocator.SetDataSet(targetSurface)
    cellLocator.BuildLocator()
    sourcePoints = vtk_to_numpy(sourceSurface.GetPoints().GetData())
    distances = np.zeros([np.size(sourcePoints, 0), 1])
    idx = 0
    for point in sourcePoints:
        closestPoint = [0, 0, 0]
        closestPointDist2 = vtk.reference(np.float64())
        cellId = vtk.reference(1)
        subId = vtk.reference(1)
        cellLocator.FindClosestPoint(point, closestPoint, cellId, subId,
                                     closestPointDist2)
        distances[idx] = closestPointDist2
        idx += 1

    RMS = np.sqrt((distances).mean())
    return RMS
Ejemplo n.º 4
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 def testPassTupleByReference(self):
     n = vtk.reference(0)
     t = vtk.reference((0,))
     ca = vtk.vtkCellArray()
     ca.InsertNextCell(3, (1, 3, 0))
     ca.GetCell(0, n, t)
     self.assertEqual(n, 3)
     self.assertEqual(tuple(t), (1, 3, 0))
Ejemplo n.º 5
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 def testFloatReference(self):
     m = vtk.reference(3.0)
     n = vtk.reference(4.0)
     m *= 2
     self.assertEqual(m, 6.0)
     self.assertEqual(str(m), str(m.get()))
     o = n + m
     self.assertEqual(o, 10.0)
    def testGetRangeTwoDoubleStarArg(self):
        cmap = vtk.vtkDiscretizableColorTransferFunction()

        localMin = vtk.reference(-1)
        localMax = vtk.reference(-1)
        cmap.GetRange(localMin, localMax)
        self.assertEqual(localMin, 0.0)
        self.assertEqual(localMax, 0.0)
Ejemplo n.º 7
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def merge(feature_points_path, segment_points_path, merge_points_path):
    '''
    feature_points_path:str, 特征点的文件路径
    segment_points_path:str,  分割后网格的顶点的文件路径
    merge_points_path:str, 合并后的顶点存储路径
    '''
    # 读取feature_points
    vertice_number = 0
    feature_vertices = []
    with open(feature_points_path, 'r') as f1:
        for line in f1.readlines():
            line = str.split(line, ' ')
            vertice_number = vertice_number + 1
            feature_vertices.append(
                [float(line[0]),
                 float(line[1]),
                 float(line[2])])
    points = vtk.vtkPoints()
    points.SetNumberOfPoints(vertice_number)
    for i in range(vertice_number):
        points.SetPoint(i, feature_vertices[i])
    # 初始化合并的顶点集
    merge_points = vtk.vtkMergePoints()
    # merge_points.SetDataSet(points)
    merge_points.InitPointInsertion(points, points.GetBounds())
    id = vtk.reference(0)
    for i in range(vertice_number):
        merge_points.InsertUniquePoint(points.GetPoint(i), id)

    vertice_number = 0
    segment_points = []
    with open(segment_points_path, 'r') as f2:
        for line in f2.readlines():
            line = str.split(line, ' ')
            if line[0] == 'v':
                segment_points.append(
                    [float(line[1]),
                     float(line[2]),
                     float(line[3])])
                vertice_number = vertice_number + 1
            else:
                break
    id = vtk.reference(0)
    replated_points_id = []
    for i in range(vertice_number):
        inserted = merge_points.InsertUniquePoint(segment_points[i], id)
        if inserted == 0:
            replated_points_id.append([id, i])

    result = merge_points.GetPoints()
    with open(merge_points_path, 'w') as f3:
        for i in range(result.GetNumberOfPoints()):
            pointTemp = result.GetPoint(i)
            f3.write("%f %f %f\n" % (pointTemp[0], pointTemp[1], pointTemp[2]))

    print("Replicated points number: %d" % len(replated_points_id))
    return len(replated_points_id)
Ejemplo n.º 8
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    def compute_length_in_cell(self, cell, p1, p2):
        """Compute lenght of the line inside a cell.

        Parameters
        ----------
        cell : vtkCell
            The cell to be cut by a line.
        p1 : type
            First endpoint describing the line.
        p2 : type
            Second endpoint describing the line.

        Returns
        -------
        float
            Intersected length.

        """
        # set up a bunch of dummy properties for passing to the cell functions.
        t = vtk.reference(0.0)
        dist = vtk.reference(0.0)
        pcords = [0.0, 0.0, 0.0]
        subid = vtk.reference(0)
        weights = [0.0] * cell.GetNumberOfPoints()
        dummy = [0.0, 0.0, 0.0]

        # Determine wether the points are inside the cell
        in1 = cell.EvaluatePosition(p1, dummy, subid, pcords, dist, weights)
        in2 = cell.EvaluatePosition(p2, dummy, subid, pcords, dist, weights)

        # Both points inside
        if in1 == 1 and in2 == 1:
            return np.linalg.norm(np.array(p2) - np.array(p1))

        # Both points outside
        if in1 == 0 and in2 == 0:
            return 0.0

        # Only point 2 inside
        if in1 == 0 and in2 == 1:
            x = [0.0, 0.0, 0.0]
            res = cell.IntersectWithLine(p1, p2, 0.0, t, x, pcords, subid)
            if res > 0:
                return np.linalg.norm(np.array(p2) - np.array(x))
            else:
                return 0.0

        # Only point 1 inside
        if in1 == 1 and in2 == 0:
            x = [0.0, 0.0, 0.0]
            res = cell.IntersectWithLine(p1, p2, 0.0, t, x, pcords, subid)
            if res > 0:
                return np.linalg.norm(np.array(p1) - np.array(x))
            else:
                return 0.0

        return 0.0
Ejemplo n.º 9
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def nearest_neighbor(matrix, array, stlpath):
    reader1 = vtk.vtkSTLReader()
    reader1.SetFileName(stlpath)
    reader1.Update()

    target_polydata = reader1.GetOutput()

    # ============ create source points ==============
    print("Creating source points...")
    sourcePoints = vtk.vtkPoints()
    sourceVertices = vtk.vtkCellArray()

    for i in range(array.shape[0]):
        sp_id = sourcePoints.InsertNextPoint(array[i][0], array[i][1],
                                             array[i][2])
        sourceVertices.InsertNextCell(1)
        sourceVertices.InsertCellPoint(sp_id)

    source = vtk.vtkPolyData()
    source.SetPoints(sourcePoints)
    source.SetVerts(sourceVertices)

    trans = vtk.vtkTransform()
    trans.SetMatrix(matrix)

    icpTransformFilter = vtk.vtkTransformPolyDataFilter()
    icpTransformFilter.SetInputData(source)

    icpTransformFilter.SetTransform(trans)
    icpTransformFilter.Update()

    transformedSource = icpTransformFilter.GetOutput()

    my_cell_locator = vtk.vtkCellLocator()
    my_cell_locator.SetDataSet(
        target_polydata)  # reverse.GetOutput() --> vtkPolyData
    my_cell_locator.BuildLocator()

    # ============ display transformed points ==============
    pointCount = array.shape[0]
    transform_array = np.zeros(shape=(pointCount, 3))
    for index in range(pointCount):
        point = [0, 0, 0]
        transformedSource.GetPoint(index, point)
        # print("transformed source point[%s] = [%.2f, %.2f, %.2f]" % (index, point[0], point[1], point[2]))

        cellId = vtk.reference(0)
        c = [0.0, 0.0, 0.0]
        subId = vtk.reference(0)
        d = vtk.reference(0.0)
        my_cell_locator.FindClosestPoint(point, c, cellId, subId, d)

        print("nearest neighbor point[%s] = [%.2f, %.2f, %.2f]" %
              (index, c[0], c[1], c[2]))
        transform_array[index] = c

    return transform_array
Ejemplo n.º 10
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    def merge(self):
        merge_points = vtk.vtkMergePoints()
        merge_points.InitPointInsertion(self.points, self.points.GetBounds())
        id = vtk.reference(0)
        for i in range(self.vertice_number):
            merge_points.InsertUniquePoint(self.points.GetPoint(i), id)

        for i in range(self.Count,
                       min(self.Count + self.interval, len(self.vertices))):
            inserted = merge_points.InsertUniquePoint(self.vertices[i], id)
            if inserted == 1:
                self.vertice_number += 1

        if self.Count + self.interval < len(self.vertices):
            self.Count = self.Count + self.interval
        else:
            self.Count = len(self.vertices)

        self.points = merge_points.GetPoints()
        self.interactor.GetRenderWindow().GetRenderers().GetFirstRenderer(
        ).RemoveActor(self.actor)
        self.actor = create_points_actor(self.points)
        self.interactor.GetRenderWindow().GetRenderers().GetFirstRenderer(
        ).AddActor(self.actor)
        self.interactor.GetRenderWindow().Render()
Ejemplo n.º 11
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    def merge(self):
        merge_points = vtk.vtkMergePoints()
        merge_points.InitPointInsertion(self.points, self.points.GetBounds())
        id = vtk.reference(0)
        for i in range(self.vertice_number):
            merge_points.InsertUniquePoint(self.points.GetPoint(i), id)

        with open(self.files[self.Count], 'r') as f:
            for line in f.readlines():
                line = str.split(line, ' ')
                inserted = merge_points.InsertUniquePoint(
                    [float(line[0]),
                     float(line[1]),
                     float(line[2])], id)
                if inserted == 1:
                    self.vertice_number += 1

        self.points = merge_points.GetPoints()
        self.Count += 1
        renderers = self.interactor.GetRenderWindow().GetRenderers()
        renderers.InitTraversal()
        points_renderer = renderers.GetNextItem()
        points_renderer.RemoveActor(self.points_actor)
        self.points_actor = create_points_actor(points)
        points_renderer.AddActor(self.points_actor)

        surface_renderer = renderers.GetNextItem()
        surface_renderer.RemoveActor(self.surface_actor)
        self.surface_actor = create_surface_actor(points)
        surface_renderer.AddActor(self.surface_actor)
        self.interactor.GetRenderWindow().Render()
Ejemplo n.º 12
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    def distance_from_point(self,point):
        """This function returns the distance from any point to the closest node in the tree.
        
        Args:
            point (array): the coordinates of the point to calculate the distance from.
            
        Returns:
            d (float): the distance between point and the closest node in the tree.
        """

        dist = 0.0
        vtk_d = vtk.reference(dist)
        vtk_node = self.vtk_tree.FindClosestPoint( point, vtk_d )
        vtk_d = sqrt(vtk_d)
        #if vtk_d == 0.0: vtk_d = 1.73205080756e+11

        # [davep]
        #d,node=self.tree.query(point)

        self._logger.debug(" ----------------")
        self._logger.debug("point %s " % (str(point)))
        self._logger.debug("vtk d %f  node %d" % (vtk_d, vtk_node))
        #self._logger.debug("sci d %f  node %d" % (d, node))

        d = vtk_d
        node = vtk_node

  #      distance=pool.map(lambda a: np.linalg.norm(a-point),self.nodes.values())
        return d
Ejemplo n.º 13
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def AssignLabelToRoots(root_canal, surf, label_name):
    label_array = surf.GetPointData().GetArray(label_name)

    RC_BoundingBox = root_canal.GetPoints().GetBounds()
    x = (RC_BoundingBox[0] + RC_BoundingBox[1]) / 2
    y = (RC_BoundingBox[2] + RC_BoundingBox[3]) / 2
    z = (RC_BoundingBox[4] + RC_BoundingBox[5]) / 2

    surfID = vtk.vtkOctreePointLocator()
    surfID.SetDataSet(surf)
    surfID.BuildLocator()

    labelID = vtk.vtkIntArray()
    labelID.SetNumberOfComponents(1)
    labelID.SetNumberOfTuples(root_canal.GetNumberOfPoints())
    labelID.SetName(label_name)
    labelID.Fill(-1)

    for pid in range(labelID.GetNumberOfTuples()):
        ID = surfID.FindClosestPoint(x, y, z, vtk.reference(20))
        labelID.SetTuple(pid, (int(label_array.GetTuple(ID)[0]), ))

    root_canal.GetPointData().AddArray(labelID)

    return root_canal
Ejemplo n.º 14
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def main():
    line_p0 = (0.0, 0.0, 0.0)
    line_p1 = (2.0, 0.0, 0.0)

    p0 = (1.0, 0, 0)
    p1 = (1.0, 2.0, 0)

    # line = vtk.vtkSmartPointer()
    # line.GetPoints().SetPoint(0, lineP0)
    # line.GetPoints().SetPoint(0, lineP1)

    dist0 = vtk.vtkLine.DistanceToLine(p0, line_p0, line_p1)
    print("Dist0:", dist0)

    dist1 = vtk.vtkLine.DistanceToLine(p1, line_p0, line_p1)
    print("Dist1:", dist1)

    t = vtk.reference(0.0)
    closest = [0.0, 0.0, 0.0]
    dist0 = vtk.vtkLine.DistanceToLine(p0, line_p0, line_p1, t, closest)
    print(
        "Dist0:",
        dist0,
        "closest point:",
        closest[0],
        closest[1],
        closest[2])

    dist1 = vtk.vtkLine.DistanceToLine(p1, line_p0, line_p1, t, closest)
    print("Dist1:",
          dist1,
          "closest point:",
          closest[0],
          closest[1],
          closest[2])
Ejemplo n.º 15
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 def testPassByReferenceerence(self):
     t = vtk.reference(0.0)
     p0 = (0.5, 0.0, 0.0)
     n = (1.0, 0.0, 0.0)
     p1 = (0.0, 0.0, 0.0)
     p2 = (1.0, 1.0, 1.0)
     x = [0.0, 0.0, 0.0]
     vtk.vtkPlane.IntersectWithLine(p1, p2, n, p0, t, x)
     self.assertEqual(round(t,6), 0.5)
     self.assertEqual(round(x[0],6), 0.5)
     self.assertEqual(round(x[1],6), 0.5)
     self.assertEqual(round(x[2],6), 0.5)
     vtk.vtkPlane().IntersectWithLine(p1, p2, n, p0, t, x)
     self.assertEqual(round(t,6), 0.5)
     self.assertEqual(round(x[0],6), 0.5)
     self.assertEqual(round(x[1],6), 0.5)
     self.assertEqual(round(x[2],6), 0.5)
     t.set(0)
     p = vtk.vtkPlane()
     p.SetOrigin(0.5, 0.0, 0.0)
     p.SetNormal(1.0, 0.0, 0.0)
     p.IntersectWithLine(p1, p2, t, x)
     self.assertEqual(round(t,6), 0.5)
     self.assertEqual(round(x[0],6), 0.5)
     self.assertEqual(round(x[1],6), 0.5)
     self.assertEqual(round(x[2],6), 0.5)
     vtk.vtkPlane.IntersectWithLine(p, p1, p2, t, x)
     self.assertEqual(round(t,6), 0.5)
     self.assertEqual(round(x[0],6), 0.5)
     self.assertEqual(round(x[1],6), 0.5)
     self.assertEqual(round(x[2],6), 0.5)
Ejemplo n.º 16
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    def collision(self,point):
        """This function returns the distance between one point and the closest node in the tree and the index of the closest node using the collision_tree.
        
        Args:
            point (array): the coordinates of the point to calculate the distance from.
            
        Returns:
            collision (tuple): (distance to the closest node, index of the closest node)
        """
        dist = 0.0
        vtk_d = vtk.reference(dist)
        vtk_node = self.vtk_collision_tree.FindClosestPoint( point, vtk_d )
        vtk_d = sqrt(vtk_d)
        if vtk_d == 0.0: vtk_d = float("inf") 

        # [davep]
        #d,node=self.collision_tree.query(point)

        self._logger.debug("----------------")
        self._logger.debug("point %s " % (str(point)))
        self._logger.debug("vtk d %f  node %d" % (vtk_d, vtk_node))
        #self._logger.debug("sci d %f  node %d" % (d, node))

        d = vtk_d
        node = vtk_node

        collision=(self.nodes_to_consider_keys[node],d)

        return collision
Ejemplo n.º 17
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 def Locate(self, xyz):
     if self.is_vtu:
         cid = self.locator.FindCell(xyz, 0.0, self.gc, self.pc,
                                     self.wts)
         if cid < 0:
             self.xyz = []
             return False
         idl = vtk.vtkIdList()
         self.dset.GetCellPoints(cid, idl)
         self.ids = [idl.GetId(i) for i in range(idl.GetNumberOfIds())]
         #print("LOCATE cid", cid)
         #print("vids", self.ids)
         #print('wts', self.wts)
     else:
         vox = self.dset.FindAndGetCell(xyz, None, 0, 0.0,
                                        vtk.reference(self.sid),
                                        self.pc, self.wts)
         if vox == None:
             self.xyz = []
             return None
         self.ids = [
             vox.GetPointId(i) for i in range(vox.GetNumberOfPoints())
         ]
     self.xyz = xyz
     return True
Ejemplo n.º 18
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def distanceToClosestPointToLine(tree, point1, point2, precision):
    minDistance = 0
    xEntry, yEntry, zEntry = point1[0], point1[1], point1[2]
    xTarget, yTarget, zTarget = point2[0], point2[1], point2[2]
    for step in np.arange(0, 1, precision):
        x = xEntry + step * (xTarget - xEntry)
        y = yEntry + step * (yTarget - yEntry)
        z = zEntry + step * (zTarget - zEntry)
        testPoint = (x, y, z)
        closestPoint = [0.0, 0.0, 0.0]
        vector = MathTools.returnVectorFromPoints(point1, point2)
        minDistance = MathTools.magnitudeVector(vector)
        ID = 0
        cellId = vtk.reference(ID)
        subId = vtk.reference(ID)
        closestPointDist2 = vtk.reference(ID)
        tree.FindClosestPoint(testPoint, closestPoint, cellId, subId,
                              closestPointDist2)
        if closestPointDist2 < minDistance:
            minDistance = closestPointDist2
        minDistance
    return minDistance
Ejemplo n.º 19
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    def apply_load(self):
        uGrid = self.uGrid
        cell_locator = vtk.vtkCellLocator()
        cell_locator.SetDataSet(uGrid)
        cell_locator.BuildLocator()
        closest_point = [0.0, 0.0,
                         0.0]  # coordinate of closest point (to be returned)
        gen_cell = vtk.vtkGenericCell(
        )  # when having many query points, accelerate the cell locator by allocating once
        cell_id = vtk.reference(0)  # located cell (to be returned)
        sub_id = vtk.reference(0)  # rarely used (to be returned)
        dist2 = vtk.reference(0.0)

        self.applied_forces = []
        for i, l in enumerate(self.cell_lists):
            force = self.forces[i]
            for ids in l:
                cell_locator.FindClosestPoint(
                    [self.center_x[ids[0]], self.center_y[ids[1]], 0.0],
                    closest_point, gen_cell, cell_id, sub_id, dist2)
                cellId = cell_id.get()
                force_info = [cellId, force, 0]
                self.applied_forces.append(force_info)
 def __init__(self, dset):
     self.dset = dset.VTKObject
     self.xyz = [-10000, -20000, -30000]
     self.pids = vtk.reference([0] * 10)
     self.nverts = -1
     self.pc = [0] * 3
     self.wts = [0] * 10
     self.gc = vtk.vtkGenericCell()
     self.sid = 2
     if self.dset.IsA('vtkUnstructuredGrid'):
         self.locator = vtk.vtkCellTreeLocator()
         self.locator.SetDataSet(dset.VTKObject)
         self.locator.BuildLocator()
         self.is_vtu = True
     else:
         self.is_vtu = False
Ejemplo n.º 21
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def testGeo():
    p1 = (2, 0, 0)
    p2 = (0, 1, 0)
    t = vtk.reference(1)
    closest = [0, 0, 0]
    dtl = vtk.vtkLine.DistanceToLine((0, 0, 0), p1, p2, t, closest)
    print(dtl, t, closest)
    print(vtk.vtkMath.Distance2BetweenPoints(p1, p2))

    p = [1, 2, 3]
    project = [0, 0, 0]
    plane = vtk.vtkPlane()
    plane.SetOrigin(0, 0, 0)
    plane.SetNormal(0, 0, 1)
    plane.ProjectPoint(p, project)
    print('distance:', p, project)

    m = vtk.vtkMatrix4x4()
    m.SetElement(0, 0, 1)
    m.SetElement(0, 1, 0)
    m.SetElement(0, 2, 0)
    m.SetElement(0, 3, 0)
    m.SetElement(1, 0, 0)
    m.SetElement(1, 1, 2)
    m.SetElement(1, 2, 0)
    m.SetElement(1, 3, 0)
    m.SetElement(2, 0, 0)
    m.SetElement(2, 1, 0)
    m.SetElement(2, 2, 3)
    m.SetElement(2, 3, 0)
    m.SetElement(3, 0, 0)
    m.SetElement(3, 1, 0)
    m.SetElement(3, 2, 0)
    m.SetElement(3, 3, 4)

    transform = vtk.vtkTransform()
    transform.SetMatrix(m)

    normalProjection = [1.0] * 3
    mNorm = transform.TransformFloatPoint(normalProjection)
    perspectiveTrans = vtk.vtkPerspectiveTransform()
    perspectiveTrans.SetMatrix(m)
    perspectiveProjection = [2] * 3
    mPersp = perspectiveTrans.TransformFloatPoint(perspectiveProjection)
    # m.Identity()
    print('transform:', m.Determinant(), mNorm, mPersp,
          m.MultiplyPoint((1, 1, 1, 1)))
Ejemplo n.º 22
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 def Locate(self, xyz):
   if self.is_vtu:
     cid = self.locator.FindCell(xyz, 0.0, self.gc, self.pc, self.wts)
     if cid < 0 or min(self.wts[:4]) < 0 or max(self.wts[:4]) > 1:
       self.xyz = []
       return False
     idl = vtk.vtkIdList()
     self.dset.GetCellPoints(cid, idl)
     self.ids = [idl.GetId(i) for i in range(idl.GetNumberOfIds())]
   else:
     vox = self.dset.FindAndGetCell(xyz, None, 0, 0.0, vtk.reference(self.sid), self.pc, self.wts)
     if vox == None:
       self.xyz = []
       return None
     self.ids = [vox.GetPointId(i) for i in range(vox.GetNumberOfPoints())]
   self.xyz = xyz
   return True
Ejemplo n.º 23
0
 def testMethods(self):
     """Test overloaded methods"""
     # single-argument method vtkTransform::SetMatrix()
     t = vtk.vtkTransform()
     m = vtk.vtkMatrix4x4()
     m.SetElement(0, 0, 2)
     t.SetMatrix(m)
     self.assertEqual(t.GetMatrix().GetElement(0, 0), 2)
     t.SetMatrix([0,1,0,0, 1,0,0,0, 0,0,-1,0, 0,0,0,1])
     self.assertEqual(t.GetMatrix().GetElement(0, 0), 0)
     # mixed number of arguments
     fd = vtk.vtkFieldData()
     fa = vtk.vtkFloatArray()
     fa.SetName("Real")
     ia = vtk.vtkIntArray()
     ia.SetName("Integer")
     fd.AddArray(fa)
     fd.AddArray(ia)
     a = fd.GetArray("Real")
     self.assertEqual(id(a), id(fa))
     i = vtk.reference(0)
     a = fd.GetArray("Integer", i)
     self.assertEqual(id(a), id(ia))
     self.assertEqual(i, 1)
Ejemplo n.º 24
0
    def project_landmarks_to_surface(self, mesh_name):
        pd = self.multi_read_surface(mesh_name)

        pd, t = self.apply_pre_transformation(pd)

        clean = vtk.vtkCleanPolyData()
        clean.SetInputData(pd)
        # clean.SetInputConnection(pd.GetOutputPort())
        clean.Update()

        locator = vtk.vtkCellLocator()
        locator.SetDataSet(clean.GetOutput())
        locator.SetNumberOfCellsPerBucket(1)
        locator.BuildLocator()

        projected_landmarks = np.copy(self.landmarks)
        n_landmarks = self.landmarks.shape[0]

        for i in range(n_landmarks):
            p = self.landmarks[i, :]
            cell_id = vtk.mutable(0)
            sub_id = vtk.mutable(0)
            dist2 = vtk.reference(0)
            tcp = np.zeros(3)

            locator.FindClosestPoint(p, tcp, cell_id, sub_id, dist2)
            # print('Nearest point in distance ', np.sqrt(np.float(dist2)))
            projected_landmarks[i, :] = tcp

        # self.landmarks = projected_landmarks
        self.landmarks = self.transform_landmarks_to_original_space(
            projected_landmarks, t)

        del pd
        del clean
        del locator
closest.SetNumberOfIds(numProbes)
treeClosest = vtk.vtkIdList()
treeClosest.SetNumberOfIds(numProbes)
staticClosest = vtk.vtkIdList()
staticClosest.SetNumberOfIds(numProbes)
bspClosest = vtk.vtkIdList()
bspClosest.SetNumberOfIds(numProbes)
obbClosest = vtk.vtkIdList()
obbClosest.SetNumberOfIds(numProbes)
dsClosest = vtk.vtkIdList()
dsClosest.SetNumberOfIds(numProbes)

genCell = vtk.vtkGenericCell()
pc = [0,0,0]
weights = [0,0,0,0,0,0,0,0,0,0,0,0]
subId = vtk.reference(0)

# Print initial statistics
print("Processing NumCells: {0}".format(numCells))
print("\n")
timer = vtk.vtkTimerLog()

#############################################################
# Time the creation and building of the static cell locator
locator2 = vtk.vtkStaticCellLocator()
locator2.SetDataSet(output)
locator2.AutomaticOn()
locator2.SetNumberOfCellsPerNode(20)
locator2.CacheCellBoundsOn()

timer.StartTimer()
    def rainfall_quad_cast(polydata, dimensions, ray_direction, precision,
                           region_of_interest, update_status):
        # configure ray direction
        dimensions = dimensions[::-1]
        negated = 1 if ray_direction in [
            RayDirection.R, RayDirection.A, RayDirection.S
        ] else -1
        castIndex = None
        if ray_direction is RayDirection.R or ray_direction is RayDirection.L:
            castIndex = 0
        elif ray_direction is RayDirection.A or ray_direction is RayDirection.P:
            castIndex = 1
        elif ray_direction is RayDirection.S or ray_direction is RayDirection.I:
            castIndex = 2
        castVector = [0.0, 0.0, 0.0]
        castVector[castIndex] = 1.0 * negated
        castPlaneIndices = [0, 1, 2]
        castPlaneIndices.remove(castIndex)
        preciseHorizontalBounds, preciseVerticalBounds = int(
            float(dimensions[castPlaneIndices[0]]) / float(precision)), int(
                float(dimensions[castPlaneIndices[1]]) / float(precision))

        def build_ray(i, j):
            start = [None, None, None]
            start[castIndex] = dimensions[castIndex] * negated
            start[castPlaneIndices[
                0]] = -dimensions[castPlaneIndices[0]] / 2.0 + i * precision
            start[castPlaneIndices[
                1]] = -dimensions[castPlaneIndices[1]] / 2.0 + j * precision
            end = start[:]
            end[castIndex] = end[castIndex] * -1.0
            return start, end

        # build search tree
        update_status(text="Building intersection object tree...", progress=41)
        bspTree = vtk.vtkModifiedBSPTree()
        bspTree.SetDataSet(polydata)
        bspTree.BuildLocator()

        # cast rays
        update_status(text="Casting " +
                      str(preciseHorizontalBounds * preciseVerticalBounds) +
                      " rays downward...",
                      progress=42)
        startTime = time.time()
        points, temporaryHitPoint = vtk.vtkPoints(), [0.0, 0.0, 0.0]
        hitPointMatrix = [[None for i in xrange(preciseHorizontalBounds)]
                          for j in reversed(xrange(preciseVerticalBounds))]
        for i in reversed(xrange(preciseVerticalBounds)):
            for j in xrange(preciseHorizontalBounds):
                start, end = build_ray(i, j)
                res = bspTree.IntersectWithLine(start, end, 0,
                                                vtk.reference(0),
                                                temporaryHitPoint,
                                                [0.0, 0.0, 0.0],
                                                vtk.reference(0),
                                                vtk.reference(0))
                if res != 0 and region_of_interest[0] <= temporaryHitPoint[
                        castIndex] < region_of_interest[1]:
                    temporaryHitPoint[
                        castIndex] += 0.3 * negated  # raised to improve visibility
                    hitPointMatrix[i][j] = HitPoint(
                        points.InsertNextPoint(temporaryHitPoint),
                        temporaryHitPoint[:])

        # form cells
        update_status(text="Forming top layer polygons", progress=64)
        cells = vtk.vtkCellArray()
        for i in xrange(len(hitPointMatrix) - 1):
            for j in xrange(len(hitPointMatrix[i]) - 1):
                hitPoints = [
                    hitPointMatrix[i][j], hitPointMatrix[i + 1][j],
                    hitPointMatrix[i + 1][j + 1], hitPointMatrix[i][j + 1]
                ]
                if None in hitPoints: continue
                rawNormal = numpy.linalg.solve(
                    numpy.array([
                        hitPoints[0].point, hitPoints[1].point,
                        hitPoints[2].point
                    ]), [1, 1, 1])
                hitPointMatrix[i][j].normal = rawNormal / numpy.sqrt(
                    numpy.sum(rawNormal**2))
                v1, v2 = numpy.array(
                    hitPointMatrix[i][j].normal), numpy.array(castVector)
                degrees = numpy.degrees(
                    numpy.math.atan2(len(numpy.cross(v1, v2)),
                                     numpy.dot(v1, v2)))
                if degrees < 80:
                    cells.InsertNextCell(4, [p.pid for p in hitPoints])
        update_status(text="Finished ray-casting in " +
                      str("%.1f" % (time.time() - startTime)) + "s, found " +
                      str(cells.GetNumberOfCells()) + " cells...",
                      progress=80)

        # build polydata
        topLayerPolyData = vtk.vtkPolyData()
        topLayerPolyData.SetPoints(points)
        topLayerPolyData.SetPolys(cells)
        topLayerPolyData.Modified()
        return topLayerPolyData, [
            p for d0 in hitPointMatrix for p in d0 if p is not None
        ]
Ejemplo n.º 27
0
    def ray_cast_color_thickness(poly_data,
                                 hit_point_list,
                                 cast_axis,
                                 dimensions,
                                 mm_of_air_past_bone,
                                 update_status,
                                 gradient_scale_factor=10.0):
        # ray direction cast axis index
        castIndex = BoneThicknessMappingLogic.determine_cast_axis_index(
            cast_axis)

        update_status(text="Building static cell locator...", progress=81)
        cellLocator = vtk.vtkStaticCellLocator()
        cellLocator.SetDataSet(poly_data)
        cellLocator.BuildLocator()

        total = len(hit_point_list)
        update_status(text="Calculating thickness (may take long, " +
                      str(total) + " rays)...",
                      progress=82)
        startTime = time.time()

        def init_array(name):
            a = vtk.vtkFloatArray()
            a.SetName(name)
            return a

        def interpret_distance(points):
            firstIn, lastOut = points[0], points[1]
            if len(points) > 2:
                for inOutPair in zip(*[iter(points[2:])] * 2):
                    # TODO incorporate cast bounds
                    # if newIn[1][cast_axis] < minBound and newOut[1][cast_axis] < minBound
                    if calculate_distance(
                            lastOut[1], inOutPair[0]
                        [1]) < mm_of_air_past_bone * gradient_scale_factor:
                        lastOut = inOutPair[1]
                return calculate_distance(firstIn[1], lastOut[1])
            else:
                return calculate_distance(firstIn[1], points[-1][1])

        def calculate_distance(point1, point2):
            d = numpy.linalg.norm(
                numpy.array((point1[0], point1[1], point1[2])) -
                numpy.array((point2[0], point2[1], point2[2])))
            d = d * gradient_scale_factor
            return d

        skullThicknessArray, airCellDistanceArray = init_array(
            BoneThicknessMappingType.THICKNESS), init_array(
                BoneThicknessMappingType.AIR_CELL)
        tol, pCoords, subId = 0.000, [0, 0, 0], vtk.reference(0)
        pointsOfIntersection, cellsOfIntersection = vtk.vtkPoints(
        ), vtk.vtkIdList()
        for i, hitPoint in enumerate(hit_point_list):
            stretchFactor = dimensions[castIndex]
            start = [
                hitPoint.point[0] + hitPoint.normal[0] * stretchFactor,
                hitPoint.point[1] + hitPoint.normal[1] * stretchFactor,
                hitPoint.point[2] + hitPoint.normal[2] * stretchFactor
            ]
            end = [
                hitPoint.point[0] - hitPoint.normal[0] * stretchFactor,
                hitPoint.point[1] - hitPoint.normal[1] * stretchFactor,
                hitPoint.point[2] - hitPoint.normal[2] * stretchFactor
            ]
            cellLocator.FindCellsAlongLine(start, end, tol,
                                           cellsOfIntersection)
            distances = []
            for cellIndex in range(cellsOfIntersection.GetNumberOfIds()):
                t = vtk.reference(0.0)
                p = [0.0, 0.0, 0.0]
                if poly_data.GetCell(cellsOfIntersection.GetId(
                        cellIndex)).IntersectWithLine(
                            start, end, tol, t, p, pCoords,
                            subId) and 0.0 <= t <= 1.0:
                    distances.append([t, p])
            if len(distances) >= 2:
                distances = sorted(distances, key=lambda kv: kv[0])
                skullThicknessArray.InsertTuple1(hitPoint.pid,
                                                 interpret_distance(distances))
                airCellDistanceArray.InsertTuple1(
                    hitPoint.pid,
                    calculate_distance(distances[0][1], distances[1][1]))
            else:
                skullThicknessArray.InsertTuple1(hitPoint.pid, 0)
                airCellDistanceArray.InsertTuple1(hitPoint.pid, 0)
            # update rays casted status
            if i % 200 == 0:
                update_status(
                    text="Calculating thickness (~{0} of {1} rays)".format(
                        i, total),
                    progress=82 + int(round((i * 1.0 / total * 1.0) * 18.0)))
        update_status(text="Finished thickness calculation in " +
                      str("%.1f" % (time.time() - startTime)) + "s...",
                      progress=100)
        return skullThicknessArray, airCellDistanceArray
Ejemplo n.º 28
0
    def rainfall_quad_cast(poly_data, seg_bounds, cast_axis, precision,
                           region_of_interest, update_status):
        update_status(text="Building intersection object tree...", progress=41)
        bspTree = vtk.vtkModifiedBSPTree()
        bspTree.SetDataSet(poly_data)
        bspTree.BuildLocator()

        update_status(text="Calculating segmentation dimensions...",
                      progress=42)
        negated = 1 if cast_axis in [
            ctk.ctkAxesWidget.Right, ctk.ctkAxesWidget.Anterior,
            ctk.ctkAxesWidget.Superior
        ] else -1
        castIndex = BoneThicknessMappingLogic.determine_cast_axis_index(
            cast_axis)
        castVector = [0.0, 0.0, 0.0]
        castVector[castIndex] = 1.0 * negated
        castPlaneIndices = [0, 1, 2]
        castPlaneIndices.remove(castIndex)

        update_status(text="Calculating segmentation cast-plane...",
                      progress=43)
        depthIncrements = [seg_bounds[castIndex], seg_bounds[castIndex + 1]]
        if cast_axis in [
                ctk.ctkAxesWidget.Right, ctk.ctkAxesWidget.Posterior,
                ctk.ctkAxesWidget.Superior
        ]:
            depthIncrements.reverse()
        horizontalIncrements = [
            seg_bounds[castPlaneIndices[0] * 2],
            seg_bounds[castPlaneIndices[0] * 2 + 1]
        ]
        verticalIncrements = [
            seg_bounds[castPlaneIndices[1] * 2],
            seg_bounds[castPlaneIndices[1] * 2 + 1]
        ]
        castPlaneIncrements = [
            int(
                abs(horizontalIncrements[0] - horizontalIncrements[1]) /
                precision),
            int(
                abs(verticalIncrements[0] - verticalIncrements[1]) /
                precision),
        ]

        def build_ray(i, j):
            start = [None, None, None]
            start[castIndex] = depthIncrements[0] + negated * 100
            start[
                castPlaneIndices[0]] = horizontalIncrements[0] + i * precision
            start[castPlaneIndices[1]] = verticalIncrements[0] + j * precision
            end = start[:]
            end[castIndex] = depthIncrements[1] - negated * 100
            return start, end

        # cast rays
        update_status(
            text="Casting " +
            str(int(castPlaneIncrements[0] * castPlaneIncrements[1])) +
            " rays...",
            progress=44)
        startTime = time.time()
        points, temporaryHitPoint = vtk.vtkPoints(), [0.0, 0.0, 0.0]
        hitPointMatrix = [[None for j in range(castPlaneIncrements[1])]
                          for i in range(castPlaneIncrements[0])]
        for i in range(len(hitPointMatrix)):
            for j in range(len(hitPointMatrix[i])):
                start, end = build_ray(i, j)
                res = bspTree.IntersectWithLine(start, end, 0,
                                                vtk.reference(0),
                                                temporaryHitPoint,
                                                [0.0, 0.0, 0.0],
                                                vtk.reference(0),
                                                vtk.reference(0))
                # if hit is found, and the top hitpoint is within ROI bounds
                if res != 0 and region_of_interest[0] <= temporaryHitPoint[
                        castIndex] < region_of_interest[1]:
                    temporaryHitPoint[
                        castIndex] += 0.3 * negated  # raised to improve visibility
                    hitPointMatrix[i][j] = HitPoint(
                        points.InsertNextPoint(temporaryHitPoint),
                        temporaryHitPoint[:])

        # form quads/cells
        update_status(text="Forming top layer polygons", progress=64)
        cells = vtk.vtkCellArray()
        for i in range(len(hitPointMatrix) -
                       1):  # -1 as the end row/col will be taken into account
            for j in range(len(hitPointMatrix[i]) - 1):
                hitPoints = [
                    hitPointMatrix[i][j], hitPointMatrix[i + 1][j],
                    hitPointMatrix[i + 1][j + 1], hitPointMatrix[i][j + 1]
                ]
                # check if full quad
                if None in hitPoints: continue
                # check if area is not extremely large
                d1 = numpy.linalg.norm(
                    numpy.array(hitPoints[0].point) -
                    numpy.array(hitPoints[1].point))
                d2 = numpy.linalg.norm(
                    numpy.array(hitPoints[0].point) -
                    numpy.array(hitPoints[2].point))
                d3 = numpy.linalg.norm(
                    numpy.array(hitPoints[0].point) -
                    numpy.array(hitPoints[3].point))
                m = precision * 6
                if d1 > m or d2 > m or d3 > m: continue
                # calculate normals
                rawNormal = numpy.linalg.solve(
                    numpy.array([
                        hitPoints[0].point, hitPoints[1].point,
                        hitPoints[2].point
                    ]), [1, 1, 1])
                hitPointMatrix[i][j].normal = rawNormal / numpy.sqrt(
                    numpy.sum(rawNormal**2))
                # # check if quad is acceptable by normal vs. cast vector
                # v1, v2 = numpy.array(hitPointMatrix[i][j].normal), numpy.array(castVector)
                # degrees = numpy.degrees(numpy.math.atan2(numpy.cross(v1, v2).shape[0], numpy.dot(v1, v2)))
                cells.InsertNextCell(4, [p.pid for p in hitPoints])
        update_status(text="Finished ray-casting in " +
                      str("%.1f" % (time.time() - startTime)) + "s, found " +
                      str(cells.GetNumberOfCells()) + " cells...",
                      progress=80)

        # build poly data
        topLayerPolyData = vtk.vtkPolyData()
        topLayerPolyData.SetPoints(points)
        topLayerPolyData.SetPolys(cells)
        topLayerPolyData.Modified()
        return topLayerPolyData, [
            p for d0 in hitPointMatrix for p in d0 if p is not None
        ]
sphere2.Update()

# Generate intersection points
center = sphere.GetCenter()
polyInts = vtk.vtkPolyData()
pts = vtk.vtkPoints()
spherePts = sphere2.GetOutput().GetPoints()
numRays = spherePts.GetNumberOfPoints()
pts.SetNumberOfPoints(numRays + 1)

polyRays = vtk.vtkPolyData()
rayPts = vtk.vtkPoints()
rayPts.SetNumberOfPoints(numRays + 1)
lines = vtk.vtkCellArray()

t = vtk.reference(0.0)
subId = vtk.reference(0)
cellId = vtk.reference(0)
xyz = [0.0,0.0,0.0]
xInt = [0.0,0.0,0.0]
pc = [0.0,0.0,0.0]

pts.SetPoint(0,center)
rayPts.SetPoint(0,center)
for i in range(0, numRays):
    spherePts.GetPoint(i,xyz)
    rayPts.SetPoint(i+1,xyz)
    cellId = vtk.reference(i);
    hit = loc.IntersectWithLine(xyz, center, 0.001, t, xInt, pc, subId, cellId)
    if ( hit == 0 ):
        print("Missed: {}".format(i))
sphere2.Update()

# Generate intersection points
center = sphere.GetCenter()
polyInts = vtk.vtkPolyData()
pts = vtk.vtkPoints()
spherePts = sphere2.GetOutput().GetPoints()
numRays = spherePts.GetNumberOfPoints()
pts.SetNumberOfPoints(numRays + 1)

polyRays = vtk.vtkPolyData()
rayPts = vtk.vtkPoints()
rayPts.SetNumberOfPoints(numRays + 1)
lines = vtk.vtkCellArray()

t = vtk.reference(0.0)
ptId = vtk.reference(0)
xyz = [0.0,0.0,0.0]
lineInt = [0.0,0.0,0.0]
xInt = [0.0,0.0,0.0]

pts.SetPoint(0,center)
rayPts.SetPoint(0,center)
for i in range(0, numRays):
    spherePts.GetPoint(i,xyz)
    rayPts.SetPoint(i+1,xyz)
    cellId = vtk.reference(i);
    hit = loc.IntersectWithLine(xyz, center, 0.05, t, lineInt, xInt, ptId)
    if ( hit == 0 ):
        print("Missed: {}".format(i))
        pts.SetPoint(i+1,center)
 def testStringReference(self):
     m = vtk.reference("%s %s!")
     m %= ("hello", "world")
     self.assertEqual(m, "hello world!")
Ejemplo n.º 32
0
    def project_new_point(self,point):
        """This function projects any point to the surface defined by the mesh.
        
        Args:
            point (array): coordinates of the point to project.
            
        Returns:
             projected_point (array): the coordinates of the projected point that lies in the surface.
             intriangle (int): the index of the triangle where the projected point lies. If the point is outside surface, intriangle=-1.
        """
        #Get the closest point
        dist = 0.0
        d = vtk.reference(dist)
        node = self.tree.FindClosestPoint( point, d )
        #d, node=self.tree.query(point)

        #print d, node
        #Get triangles connected to that node
        triangles=self.node_to_tri[node]
        #print triangles
        #Compute the vertex normal as the avergage of the triangle normals.
        vertex_normal=np.sum(self.normals[triangles],axis=0)
        #Normalize
        vertex_normal=vertex_normal/np.linalg.norm(vertex_normal)
        #Project to the point to the closest vertex plane
        pre_projected_point=point-vertex_normal*np.dot(point-self.verts[node],vertex_normal)
        #Calculate the distance from point to plane (Closest point projection)
        CPP=[]
        for tri in triangles:
            CPP.append(np.dot(pre_projected_point-self.verts[self.connectivity[tri,0],:],self.normals[tri,:]))
        CPP=np.array(CPP)
     #   print 'CPP=',CPP
        triangles=np.array(triangles)
        #Sort from closest to furthest
        order=np.abs(CPP).argsort()
       # print CPP[order]
        #Check if point is in triangle
        intriangle=-1
        for o in order:
            i=triangles[o]
      #      print i
            projected_point=(pre_projected_point-CPP[o]*self.normals[i,:])
      #      print projected_point
            u=self.verts[self.connectivity[i,1],:]-self.verts[self.connectivity[i,0],:]
            v=self.verts[self.connectivity[i,2],:]-self.verts[self.connectivity[i,0],:]
            w=projected_point-self.verts[self.connectivity[i,0],:]
       #     print 'check ortogonality',np.dot(w,self.normals[i,:])
            vxw=np.cross(v,w)
            vxu=np.cross(v,u)
            uxw=np.cross(u,w)
            sign_r=np.dot(vxw,vxu)
            sign_t=np.dot(uxw,-vxu)
        #    print sign_r,sign_t            
            if sign_r>=0 and sign_t>=0:
                r=np.linalg.norm(vxw)/np.linalg.norm(vxu)
                t=np.linalg.norm(uxw)/np.linalg.norm(vxu)
             #   print 'sign ok', r , t
                if r<=1 and t<=1 and (r+t)<=1.001:
              #      print 'in triangle',i
                    intriangle = i
                    break
        return projected_point, intriangle
Ejemplo n.º 33
0
    def superpose(self):
        """Superpose results from multiple output files.
        Returns:
            [N x F mat]: superposition results. N = No. of query points, F = No. of field properties.
        Note:
            self.queryPoints is a concatenation of [evaluation points, query mesh points]. Superposition is done for both together, but results are separated at the end.
        """
        print("> Superposing {} tires".format(len(self.tireCoordinates)))
        superposition = np.zeros(
            (len(self.queryPoints), len(cfg.FEM_FIELDS_3D)))

        # 0. Parameter placeholder for cell locator
        closest_point = [0.0, 0.0,
                         0.0]  # coordinate of closest point (to be returned)
        gen_cell = vtk.vtkGenericCell(
        )  # when having many query points, accelerate the cell locator by allocating once
        cell_id = vtk.reference(0)  # located cell (to be returned)
        sub_id = vtk.reference(0)  # rarely used (to be returned)
        dist2 = vtk.reference(
            0.0)  # squared distance to the closest point (to be returned)

        # 1. Superpose all tires at every query point
        tires = self.tireCoordinates
        for i in range(
                len(tires)
        ):  # for one tire, query all points and accumulate in result
            # mesh data
            mesh = readVTK(self.outputFileList[i])
            pointData = mesh.GetPointData()
            # cellData = mesh.GetCellData()
            cellLocator = getCellLocator(mesh)
            X = vtk_to_numpy(pointData.GetArray('Radial_Distance'))
            Y = vtk_to_numpy(pointData.GetArray('Depth'))
            fields = np.array([
                vtk_to_numpy(pointData.GetArray(f)) for f in cfg.FEM_FIELDS_2D
            ]).T

            # query all points
            for idx in range(len(self.queryPoints)):
                pt = self.queryPoints[idx]
                radial = np.sqrt(
                    (tires[i, 0] - pt[0])**2 + (tires[i, 1] - pt[1])**
                    2)  # radial distance from query point to tire location
                depth = pt[2]

                # find cell
                cellLocator.FindClosestPoint([radial, depth, 0.0],
                                             closest_point, gen_cell, cell_id,
                                             sub_id, dist2)
                elementShape = self.elementTypeMap[mesh.GetCellType(
                    cell_id.get())]

                # get point list of the cell
                vtk_point_list = vtk.vtkIdList()
                mesh.GetCellPoints(cell_id.get(), vtk_point_list)
                point_list = [
                    vtk_point_list.GetId(i)
                    for i in range(vtk_point_list.GetNumberOfIds())
                ]

                # get shape functions at the query point(s)
                coord_nodes = np.hstack(
                    (X[point_list].reshape(-1, 1), Y[point_list].reshape(
                        -1, 1)))  # global coord of element nodes
                coord_querys = np.array([radial, depth]).reshape(
                    -1, 2)  # global coord of query points
                shape_function = elementShape.query_shape(
                    coord_nodes, coord_querys)  # see class ShapeQ8

                # interpolate the fields & accumulate/superpose
                interpolated = np.squeeze(
                    np.matmul(shape_function, fields[
                        point_list, :]))  # for Q8 & 6 fields, 1x8 * 8x6 = 1x6
                # now six fields are cfg.FEM_FIELDS_2D = ['Displacement_Z', 'Displacement_R', 'Stress_R', 'Stress_Theta', 'Stress_Z', 'Stress_Shear']

                # decompose radial displacement and stress into plane X-Y
                # projection cos(t) = a * b / (|a||b|) where |a|=|b|=1, normalized
                disp_R, stress_R = interpolated[1], interpolated[2]

                radial_vec = pt[:-1] - tires[i]  # vector
                if np.linalg.norm(radial_vec) == 0:
                    # if the query point is exactly AT any tire location, radial_vec is (0,0)
                    disp_X = disp_R
                    disp_Y = disp_R
                    disp_Z = interpolated[0]
                    stress_X = stress_R
                    stress_Y = stress_R
                    stress_Z = interpolated[4]
                else:
                    radial_vec = radial_vec / np.linalg.norm(
                        radial_vec)  # normalization
                    disp_X = np.dot(radial_vec, np.array([1, 0])) * disp_R
                    disp_Y = np.dot(radial_vec, np.array([0, 1])) * disp_R
                    disp_Z = interpolated[0]
                    stress_X = np.dot(radial_vec, np.array([1, 0])) * stress_R
                    stress_Y = np.dot(radial_vec, np.array([0, 1])) * stress_R
                    stress_Z = interpolated[4]

                # accumulate results
                superposition[idx, :] += np.array(
                    [disp_X, disp_Y, disp_Z, stress_X, stress_Y, stress_Z])

        # 2. Separate evaluation point results from mesh points results
        self.results_eval, self.results_grid = np.split(
            superposition, [len(self.evalPoints) * len(cfg.DEPTH_COORDS)])
        self.results_eval = self.results_eval.reshape(
            len(self.evalPoints), len(cfg.DEPTH_COORDS),
            len(cfg.FEM_FIELDS_3D))  # P x D x 6
        for p in range(len(self.results_eval)):
            print("Evaluation point {} ({},{}):".format(
                p, self.evalPoints[p, 0], self.evalPoints[p, 1]))
            print(self.results_eval[p][:, 2])
    staticClosest.SetId(i, staticLocator.FindClosestPoint(probePoints.GetPoint(i)))
staticTimer.StopTimer()
staticOpTime = staticTimer.GetElapsedTime()
print("    Static Closest point probing: {0}".format(staticOpTime))
print("    Divisions: {0}".format( staticLocator.GetDivisions() ))

# Poke other methods before deleting static locator class
staticClosestN = vtk.vtkIdList()
staticLocator.FindClosestNPoints(10, probePoints.GetPoint(0), staticClosestN)

# Intersect with line
# Out of plane line intersecction
a0 = [0.5, 0.5, 1]
a1 = [0.5, 0.5, -1]
tol = 0.001
t = vtk.reference(0.0)
lineX = [0.0,0.0,0.0]
ptX = [0.0,0.0,0.0]
ptId = vtk.reference(-100)
staticLocator.IntersectWithLine(a0,a1,tol,t,lineX,ptX,ptId)
print("    Out of plane line intersection: PtId {0}".format(ptId))

# In plane line intersection
a0 = [-1.5, 0.5, 0]
a1 = [ 1.5, 0.5, 0]
tol = 0.001
t = vtk.reference(0.0)
lineX = [0.0,0.0,0.0]
ptX = [0.0,0.0,0.0]
ptId = vtk.reference(-100)
staticLocator.IntersectWithLine(a0,a1,tol,t,lineX,ptX,ptId)
Ejemplo n.º 35
0
# Clip data to spit out unstructured tets
clipper = vtk.vtkClipDataSet()
clipper.SetInputConnection(mandel.GetOutputPort())
clipper.SetClipFunction(sphere)
clipper.InsideOutOn()
clipper.Update()

output = clipper.GetOutput()
numCells = output.GetNumberOfCells()
bounds = output.GetBounds()
#print bounds

# Support subsequent method calls
genCell = vtk.vtkGenericCell()
t = vtk.reference(0.0)
x = [0,0,0]
pc = [0,0,0]
subId = vtk.reference(0)
cellId = vtk.reference(0)

# Build the locator
locator = vtk.vtkStaticCellLocator()
#locator = vtk.vtkCellLocator()
locator.SetDataSet(output)
locator.AutomaticOn()
locator.SetNumberOfCellsPerNode(20)
locator.CacheCellBoundsOn()
locator.BuildLocator()

# Now visualize the locator
 def testIntReference(self):
     m = vtk.reference(3)
     n = vtk.reference(4)
     m |= n
     self.assertEqual(m, 7.0)
     self.assertEqual(str(m), str(m.get()))
 def testTupleReference(self):
     m = vtk.reference((0,))
     self.assertEqual(m, (0,))
     self.assertEqual(len(m), 1)
     self.assertEqual(m[0], 0)