def convertRGBArrayToFloatArray(rgbArray, scalarRange=[0.0, 1.0]):
linearSize = rgbArray.GetNumberOfTuples()
outputArray = vtkFloatArray()
outputArray.SetNumberOfComponents(1)
outputArray.SetNumberOfTuples(linearSize)
for idx in range(linearSize):
outputArray.SetTuple1(
idx, getScalarFromRGB(rgbArray.GetTuple(idx), scalarRange))
return outputArray
def convertRGBArrayToFloatArray(rgbArray, scalarRange=[0.0, 1.0]):
linearSize = rgbArray.GetNumberOfTuples()
outputArray = vtkFloatArray()
outputArray.SetNumberOfComponents(1)
outputArray.SetNumberOfTuples(linearSize)
for idx in range(linearSize):
outputArray.SetTuple1(
idx,
getScalarFromRGB(rgbArray.GetTuple(idx), scalarRange)
)
return outputArray
def transform_scalars(dataset, label_value=1):
"""Computes the principal axes of an object with the label value passed in
as the parameter label_value. The principal axes are added to the field
data of the dataset as an array of 3-component tuples named 'PrincipalAxes'.
The principal axis tuples are stored in order of length from longest to
shortest. The center of the object is also added to the field data as an
array named 'Center' with a single 3-component tuple.
This operator uses principal components analysis of the labeled point
locations to determine the principal axes.
"""
from tomviz import utils
from vtkmodules.vtkCommonCore import vtkFloatArray
fd = dataset.GetFieldData()
(axes, center) = utils.label_object_principal_axes(dataset, label_value)
print(axes)
print(center)
axis_array = vtkFloatArray()
axis_array.SetName('PrincipalAxes')
axis_array.SetNumberOfComponents(3)
axis_array.SetNumberOfTuples(3)
axis_array.InsertTypedTuple(0, list(axes[:, 0]))
axis_array.InsertTypedTuple(1, list(axes[:, 1]))
axis_array.InsertTypedTuple(2, list(axes[:, 2]))
fd.RemoveArray('PrincipalAxis')
fd.AddArray(axis_array)
center_array = vtkFloatArray()
center_array.SetName('Center')
center_array.SetNumberOfComponents(3)
center_array.SetNumberOfTuples(1)
center_array.InsertTypedTuple(0, list(center))
fd.RemoveArray('Center')
fd.AddArray(center_array)
def convertImageToFloat(srcPngImage, destFile, scalarRange=[0.0, 1.0]):
reader = vtkPNGReader()
reader.SetFileName(srcPngImage)
reader.Update()
rgbArray = reader.GetOutput().GetPointData().GetArray(0)
stackSize = rgbArray.GetNumberOfTuples()
size = reader.GetOutput().GetDimensions()
outputArray = vtkFloatArray()
outputArray.SetNumberOfComponents(1)
outputArray.SetNumberOfTuples(stackSize)
for idx in range(stackSize):
outputArray.SetTuple1(
idx, getScalarFromRGB(rgbArray.GetTuple(idx), scalarRange))
# Write float file
with open(destFile, "wb") as f:
f.write(memoryview(outputArray))
return size
def convertImageToFloat(srcPngImage, destFile, scalarRange=[0.0, 1.0]):
reader = vtkPNGReader()
reader.SetFileName(srcPngImage)
reader.Update()
rgbArray = reader.GetOutput().GetPointData().GetArray(0)
stackSize = rgbArray.GetNumberOfTuples()
size = reader.GetOutput().GetDimensions()
outputArray = vtkFloatArray()
outputArray.SetNumberOfComponents(1)
outputArray.SetNumberOfTuples(stackSize)
for idx in range(stackSize):
outputArray.SetTuple1(
idx,
getScalarFromRGB(rgbArray.GetTuple(idx), scalarRange)
)
# Write float file
with open(destFile, 'wb') as f:
f.write(buffer(outputArray))
return size
def RequestData(self, request, inInfoVec, outInfoVec):
from vtkmodules.vtkCommonCore import vtkFloatArray, vtkPoints
from vtkmodules.vtkCommonDataModel import (
vtkCellArray, vtkCompositeDataSet, vtkPartitionedDataSet,
vtkPartitionedDataSetCollection, vtkPolyData)
output = vtkPartitionedDataSetCollection.GetData(outInfoVec)
partitioned_datasets = []
partitioned_dataset_names = []
# Parse line file
if not self._filename:
print_error("SAVGReader requires a FileName")
return 0
# Stores lines of text from the file associated with each group of
# geometries encountered.
geometries = {"lines": [], "points": [], "poly": []}
# Read the file and build up data structure to hold the primitives
with open(self._filename, "r") as file:
current = None
for line in file:
parts = line.split("#")
line = parts[0].strip().lower()
if len(line) < 1:
continue
if not_supported(line):
continue
if line.startswith("lin"):
geometries["lines"].append({"rgba": None, "values": []})
current = geometries["lines"][-1]
line_parts = line.split(" ")
if len(line_parts) == 5:
current["rgba"] = [float(n) for n in line_parts[1:]]
elif line.startswith("point"):
geometries["points"].append({
"rgba": None,
"values": [],
})
current = geometries["points"][-1]
line_parts = line.split(" ")
if len(line_parts) == 5:
current["rgba"] = [float(n) for n in line_parts[1:]]
elif line.startswith("poly"):
geometries["poly"].append({
"rgba": None,
"npts": None,
"values": [],
})
current = geometries["poly"][-1]
line_parts = line.split(" ")
if len(line_parts) == 2:
current["npts"] = int(line_parts[1])
elif len(line_parts) == 6:
current["rgba"] = [float(n) for n in line_parts[1:5]]
current["npts"] = int(line_parts[5])
elif line.startswith("end"):
current = None
else:
if current is not None:
if "npts" in current and current["npts"] is not None:
# polygon, known num pts per poly
if len(current["values"]) == current["npts"]:
# Reached the number of points for the current one,
# start a new one.
geometries["poly"].append({
"npts":
current["npts"],
"rgba":
current["rgba"],
"values": []
})
current = geometries["poly"][-1]
pt, pt_col, pt_n = get_coords_from_line(line)
if pt:
current["values"].append({
"pos": pt,
})
color = pt_col or current["rgba"]
if color:
current["values"][-1]["col"] = color
if pt_n:
current["values"][-1]["norm"] = pt_n
# Build lines polydata if there were any lines
if geometries["lines"]:
line_points = vtkPoints()
line_cells = vtkCellArray()
line_point_colors = vtkFloatArray()
line_point_colors.SetNumberOfComponents(4)
line_point_colors.SetName("rgba_colors")
line_point_normals = vtkFloatArray()
line_point_normals.SetNumberOfComponents(3)
line_point_normals.SetName("vertex_normals")
pt_count = 0
for batch in geometries["lines"]:
num_in_batch = len(batch["values"])
first_in_batch = True
for coord in batch["values"]:
if "pos" in coord:
line_points.InsertNextPoint(coord["pos"])
if "norm" in coord:
line_point_normals.InsertNextTuple(coord["norm"])
if "col" in coord:
line_point_colors.InsertNextTuple(coord["col"])
if first_in_batch:
line_cells.InsertNextCell(num_in_batch)
first_in_batch = False
line_cells.InsertCellPoint(pt_count)
pt_count += 1
output_lines = vtkPolyData()
output_lines.SetPoints(line_points)
output_lines.SetLines(line_cells)
if line_point_colors.GetNumberOfTuples() > 0:
output_lines.GetPointData().AddArray(line_point_colors)
if line_point_normals.GetNumberOfTuples() > 0:
output_lines.GetPointData().AddArray(line_point_normals)
ds = vtkPartitionedDataSet()
ds.SetNumberOfPartitions(1)
ds.SetPartition(0, output_lines)
partitioned_datasets.append(ds)
partitioned_dataset_names.append("Lines")
# Build the points polydata if we found points
if geometries["points"]:
p_points = vtkPoints()
p_cells = vtkCellArray()
p_point_colors = vtkFloatArray()
p_point_colors.SetNumberOfComponents(4)
p_point_colors.SetName("rgba_colors")
p_point_normals = vtkFloatArray()
p_point_normals.SetNumberOfComponents(3)
p_point_normals.SetName("vertex_normals")
p_count = 0
for batch in geometries["points"]:
num_in_batch = len(batch["values"])
first_in_batch = True
for coord in batch["values"]:
if "pos" in coord:
p_points.InsertNextPoint(coord["pos"])
if "norm" in coord:
p_point_normals.InsertNextTuple(coord["norm"])
if "col" in coord:
p_point_colors.InsertNextTuple(coord["col"])
if first_in_batch:
p_cells.InsertNextCell(num_in_batch)
first_in_batch = False
p_cells.InsertCellPoint(p_count)
p_count += 1
output_points = vtkPolyData()
output_points.SetPoints(p_points)
output_points.SetVerts(p_cells)
if p_point_colors.GetNumberOfTuples() > 0:
output_points.GetPointData().AddArray(p_point_colors)
if p_point_normals.GetNumberOfTuples() > 0:
output_points.GetPointData().AddArray(p_point_normals)
ds = vtkPartitionedDataSet()
ds.SetNumberOfPartitions(1)
ds.SetPartition(0, output_points)
partitioned_datasets.append(ds)
partitioned_dataset_names.append("Points")
# Build the polygons if there were any
if geometries["poly"]:
poly_points = vtkPoints()
poly_cells = vtkCellArray()
poly_point_colors = vtkFloatArray()
poly_point_colors.SetNumberOfComponents(4)
poly_point_colors.SetName("rgba_colors")
poly_point_normals = vtkFloatArray()
poly_point_normals.SetNumberOfComponents(3)
poly_point_normals.SetName("vertex_normals")
pt_count = 0
for batch in geometries["poly"]:
num_in_batch = len(batch["values"])
if num_in_batch < 1:
continue
first_in_batch = True
for coord in batch["values"]:
if "pos" in coord:
poly_points.InsertNextPoint(coord["pos"])
if "norm" in coord:
poly_point_normals.InsertNextTuple(coord["norm"])
if "col" in coord:
poly_point_colors.InsertNextTuple(coord["col"])
if first_in_batch:
np_in_cell = num_in_batch
poly_cells.InsertNextCell(np_in_cell)
first_in_batch = False
poly_cells.InsertCellPoint(pt_count)
pt_count += 1
output_polys = vtkPolyData()
output_polys.SetPoints(poly_points)
output_polys.SetPolys(poly_cells)
if poly_point_colors.GetNumberOfTuples() > 0:
output_polys.GetPointData().AddArray(poly_point_colors)
if poly_point_normals.GetNumberOfTuples() > 0:
output_polys.GetPointData().AddArray(poly_point_normals)
ds = vtkPartitionedDataSet()
ds.SetNumberOfPartitions(1)
ds.SetPartition(0, output_polys)
partitioned_datasets.append(ds)
partitioned_dataset_names.append("Polygons")
# Add any partioned datasets we created
output.SetNumberOfPartitionedDataSets(len(partitioned_datasets))
for idx, pds in enumerate(partitioned_datasets):
output.SetPartitionedDataSet(idx, pds)
output.GetMetaData(idx).Set(vtkCompositeDataSet.NAME(),
partitioned_dataset_names[idx])
return 1
def processDirectory(self, directory):
# Load depth
depthStack = []
imageSize = self.config["size"]
linearSize = imageSize[0] * imageSize[1]
nbLayers = len(self.layers)
stackSize = nbLayers * linearSize
layerList = range(nbLayers)
for layerIdx in layerList:
with open(os.path.join(directory, "depth_%d.float32" % layerIdx),
"rb") as f:
a = array.array("f")
a.fromfile(f, linearSize)
depthStack.append(a)
orderArray = vtkUnsignedCharArray()
orderArray.SetName("layerIdx")
orderArray.SetNumberOfComponents(1)
orderArray.SetNumberOfTuples(stackSize)
pixelSorter = [(i, i) for i in layerList]
for pixelId in range(linearSize):
# Fill pixelSorter
for layerIdx in layerList:
if depthStack[layerIdx][pixelId] < 1.0:
pixelSorter[layerIdx] = (layerIdx,
depthStack[layerIdx][pixelId])
else:
pixelSorter[layerIdx] = (255, 1.0)
# Sort pixel layers
pixelSorter.sort(key=lambda tup: tup[1])
# Fill sortedOrder array
for layerIdx in layerList:
orderArray.SetValue(layerIdx * linearSize + pixelId,
pixelSorter[layerIdx][0])
# Write order (sorted order way)
with open(os.path.join(directory, "order.uint8"), "wb") as f:
f.write(memoryview(orderArray))
self.data.append({
"name": "order",
"type": "array",
"fileName": "/order.uint8"
})
# Remove depth files
for layerIdx in layerList:
os.remove(os.path.join(directory, "depth_%d.float32" % layerIdx))
# Encode Normals (sorted order way)
if "normal" in self.config["light"]:
sortedNormal = vtkUnsignedCharArray()
sortedNormal.SetNumberOfComponents(3) # x,y,z
sortedNormal.SetNumberOfTuples(stackSize)
# Get Camera orientation and rotation information
camDir = [0, 0, 0]
worldUp = [0, 0, 0]
with open(os.path.join(directory, "camera.json"), "r") as f:
camera = json.load(f)
camDir = normalize([
camera["position"][i] - camera["focalPoint"][i]
for i in range(3)
])
worldUp = normalize(camera["viewUp"])
# [ camRight, camUp, camDir ] will be our new orthonormal basis for normals
camRight = vectProduct(camDir, worldUp)
camUp = vectProduct(camRight, camDir)
# Tmp structure to capture (x,y,z) normal
normalByLayer = vtkFloatArray()
normalByLayer.SetNumberOfComponents(3)
normalByLayer.SetNumberOfTuples(stackSize)
# Capture all layer normals
zPosCount = 0
zNegCount = 0
for layerIdx in layerList:
# Load normal(x,y,z) from current layer
normalLayer = []
for comp in [0, 1, 2]:
with open(
os.path.join(
directory,
"normal_%d_%d.float32" % (layerIdx, comp)),
"rb",
) as f:
a = array.array("f")
a.fromfile(f, linearSize)
normalLayer.append(a)
# Store normal inside vtkArray
offset = layerIdx * linearSize
for idx in range(linearSize):
normalByLayer.SetTuple3(
idx + offset,
normalLayer[0][idx],
normalLayer[1][idx],
normalLayer[2][idx],
)
# Re-orient normal to be view based
vect = normalByLayer.GetTuple3(layerIdx * linearSize + idx)
if not math.isnan(vect[0]):
# Express normal in new basis we computed above
rVect = normalize([
-dotProduct(vect, camRight),
dotProduct(vect, camUp),
dotProduct(vect, camDir),
])
# Need to reverse vector ?
if rVect[2] < 0:
normalByLayer.SetTuple3(
layerIdx * linearSize + idx,
-rVect[0],
-rVect[1],
-rVect[2],
)
else:
normalByLayer.SetTuple3(
layerIdx * linearSize + idx,
rVect[0],
rVect[1],
rVect[2],
)
# Sort normals and encode them as 3 bytes ( -1 < xy < 1 | 0 < z < 1)
for idx in range(stackSize):
layerIdx = int(orderArray.GetValue(idx))
if layerIdx == 255:
# No normal => same as view direction
sortedNormal.SetTuple3(idx, 128, 128, 255)
else:
offset = layerIdx * linearSize
imageIdx = idx % linearSize
vect = normalByLayer.GetTuple3(imageIdx + offset)
if (not math.isnan(vect[0]) and not math.isnan(vect[1])
and not math.isnan(vect[2])):
sortedNormal.SetTuple3(
idx,
int(127.5 * (vect[0] + 1)),
int(127.5 * (vect[1] + 1)),
int(255 * vect[2]),
)
else:
print(
"WARNING: encountered NaN in normal of layer ",
layerIdx,
": [",
vect[0],
",",
vect[1],
",",
vect[2],
"]",
)
sortedNormal.SetTuple3(idx, 128, 128, 255)
# Write the sorted data
with open(os.path.join(directory, "normal.uint8"), "wb") as f:
f.write(memoryview(sortedNormal))
self.data.append({
"name": "normal",
"type": "array",
"fileName": "/normal.uint8",
"categories": ["normal"],
})
# Remove depth files
for layerIdx in layerList:
os.remove(
os.path.join(directory,
"normal_%d_%d.float32" % (layerIdx, 0)))
os.remove(
os.path.join(directory,
"normal_%d_%d.float32" % (layerIdx, 1)))
os.remove(
os.path.join(directory,
"normal_%d_%d.float32" % (layerIdx, 2)))
# Encode Intensity (sorted order way)
if "intensity" in self.config["light"]:
sortedIntensity = vtkUnsignedCharArray()
sortedIntensity.SetNumberOfTuples(stackSize)
intensityLayers = []
for layerIdx in layerList:
with open(
os.path.join(directory,
"intensity_%d.uint8" % layerIdx),
"rb") as f:
a = array.array("B")
a.fromfile(f, linearSize)
intensityLayers.append(a)
for idx in range(stackSize):
layerIdx = int(orderArray.GetValue(idx))
if layerIdx == 255:
sortedIntensity.SetValue(idx, 255)
else:
imageIdx = idx % linearSize
sortedIntensity.SetValue(
idx, intensityLayers[layerIdx][imageIdx])
with open(os.path.join(directory, "intensity.uint8"), "wb") as f:
f.write(memoryview(sortedIntensity))
self.data.append({
"name": "intensity",
"type": "array",
"fileName": "/intensity.uint8",
"categories": ["intensity"],
})
# Remove depth files
for layerIdx in layerList:
os.remove(
os.path.join(directory, "intensity_%d.uint8" % layerIdx))
def processDirectory(self, directory):
self.imageReader.SetFileName(os.path.join(directory, "rgb.png"))
self.imageReader.Update()
rgbArray = self.imageReader.GetOutput().GetPointData().GetArray(0)
self.composite.load(os.path.join(directory, "composite.json"))
orderArray = self.composite.getSortedOrderArray()
imageSize = self.composite.getImageSize()
stackSize = self.composite.getStackSize()
# Write order (sorted order way)
with open(os.path.join(directory, "order.uint8"), "wb") as f:
f.write(memoryview(orderArray))
self.data.append({
"name": "order",
"type": "array",
"fileName": "/order.uint8"
})
# Encode Normals (sorted order way)
if "normal" in self.layers[0]:
sortedNormal = vtkUnsignedCharArray()
sortedNormal.SetNumberOfComponents(3) # x,y,z
sortedNormal.SetNumberOfTuples(stackSize)
# Get Camera orientation and rotation information
camDir = [0, 0, 0]
worldUp = [0, 0, 0]
with open(os.path.join(directory, "camera.json"), "r") as f:
camera = json.load(f)
camDir = normalize([
camera["position"][i] - camera["focalPoint"][i]
for i in range(3)
])
worldUp = normalize(camera["viewUp"])
# [ camRight, camUp, camDir ] will be our new orthonormal basis for normals
camRight = vectProduct(camDir, worldUp)
camUp = vectProduct(camRight, camDir)
# Tmp structure to capture (x,y,z) normal
normalByLayer = vtkFloatArray()
normalByLayer.SetNumberOfComponents(3)
normalByLayer.SetNumberOfTuples(stackSize)
# Capture all layer normals
layerIdx = 0
zPosCount = 0
zNegCount = 0
for layer in self.layers:
normalOffset = layer["normal"]
for idx in range(imageSize):
normalByLayer.SetTuple3(
layerIdx * imageSize + idx,
getScalarFromRGB(
rgbArray.GetTuple(idx +
normalOffset[0] * imageSize)),
getScalarFromRGB(
rgbArray.GetTuple(idx +
normalOffset[1] * imageSize)),
getScalarFromRGB(
rgbArray.GetTuple(idx +
normalOffset[2] * imageSize)),
)
# Re-orient normal to be view based
vect = normalByLayer.GetTuple3(layerIdx * imageSize + idx)
if not math.isnan(vect[0]):
# Express normal in new basis we computed above
rVect = normalize([
-dotProduct(vect, camRight),
dotProduct(vect, camUp),
dotProduct(vect, camDir),
])
# Need to reverse vector ?
if rVect[2] < 0:
normalByLayer.SetTuple3(
layerIdx * imageSize + idx,
-rVect[0],
-rVect[1],
-rVect[2],
)
else:
normalByLayer.SetTuple3(layerIdx * imageSize + idx,
rVect[0], rVect[1],
rVect[2])
layerIdx += 1
# Sort normals and encode them as 3 bytes ( -1 < xy < 1 | 0 < z < 1)
for idx in range(stackSize):
layerIdx = int(orderArray.GetValue(idx))
if layerIdx == 255:
# No normal => same as view direction
sortedNormal.SetTuple3(idx, 128, 128, 255)
else:
offset = layerIdx * imageSize
imageIdx = idx % imageSize
vect = normalByLayer.GetTuple3(imageIdx + offset)
if (not math.isnan(vect[0]) and not math.isnan(vect[1])
and not math.isnan(vect[2])):
sortedNormal.SetTuple3(
idx,
int(127.5 * (vect[0] + 1)),
int(127.5 * (vect[1] + 1)),
int(255 * vect[2]),
)
else:
print(
"WARNING: encountered NaN in normal of layer ",
layerIdx,
": [",
vect[0],
",",
vect[1],
",",
vect[2],
"]",
)
sortedNormal.SetTuple3(idx, 128, 128, 255)
# Write the sorted data
with open(os.path.join(directory, "normal.uint8"), "wb") as f:
f.write(memoryview(sortedNormal))
self.data.append({
"name": "normal",
"type": "array",
"fileName": "/normal.uint8",
"categories": ["normal"],
})
# Encode Intensity (sorted order way)
if "intensity" in self.layers[0]:
intensityOffsets = []
sortedIntensity = vtkUnsignedCharArray()
sortedIntensity.SetNumberOfTuples(stackSize)
for layer in self.layers:
intensityOffsets.append(layer["intensity"])
for idx in range(stackSize):
layerIdx = int(orderArray.GetValue(idx))
if layerIdx == 255:
sortedIntensity.SetValue(idx, 255)
else:
offset = 3 * intensityOffsets[layerIdx] * imageSize
imageIdx = idx % imageSize
sortedIntensity.SetValue(
idx, rgbArray.GetValue(imageIdx * 3 + offset))
with open(os.path.join(directory, "intensity.uint8"), "wb") as f:
f.write(memoryview(sortedIntensity))
self.data.append({
"name": "intensity",
"type": "array",
"fileName": "/intensity.uint8",
"categories": ["intensity"],
})
# Encode Each layer Scalar
layerIdx = 0
for layer in self.layers:
for scalar in layer:
if scalar not in ["intensity", "normal"]:
offset = imageSize * layer[scalar]
scalarRange = self.config["scene"][layerIdx]["colors"][
scalar]["range"]
delta = (scalarRange[1] - scalarRange[0]
) / 16777215.0 # 2^24 - 1 => 16,777,215
scalarArray = vtkFloatArray()
scalarArray.SetNumberOfTuples(imageSize)
for idx in range(imageSize):
rgb = rgbArray.GetTuple(idx + offset)
if rgb[0] != 0 or rgb[1] != 0 or rgb[2] != 0:
# Decode encoded value
value = scalarRange[0] + delta * float(
rgb[0] * 65536 + rgb[1] * 256 + rgb[2] - 1)
scalarArray.SetValue(idx, value)
else:
# No value
scalarArray.SetValue(idx, float("NaN"))
with open(
os.path.join(directory,
"%d_%s.float32" % (layerIdx, scalar)),
"wb",
) as f:
f.write(memoryview(scalarArray))
self.data.append({
"name":
"%d_%s" % (layerIdx, scalar),
"type":
"array",
"fileName":
"/%d_%s.float32" % (layerIdx, scalar),
"categories": ["%d_%s" % (layerIdx, scalar)],
})
layerIdx += 1
def writeArray(self, path, source, name, component=0):
rep = simple.Show(source, self.view)
rep.Representation = 'Surface'
rep.DiffuseColor = [1, 1, 1]
dataRange = [0.0, 1.0]
fieldToColorBy = ['POINTS', name]
self.view.ArrayNameToDraw = name
self.view.ArrayComponentToDraw = component
pdi = source.GetPointDataInformation()
cdi = source.GetCellDataInformation()
if pdi.GetArray(name):
self.view.DrawCells = 0
dataRange = pdi.GetArray(name).GetRange(component)
fieldToColorBy[0] = 'POINTS'
elif cdi.GetArray(name):
self.view.DrawCells = 1
dataRange = cdi.GetArray(name).GetRange(component)
fieldToColorBy[0] = 'CELLS'
else:
print("No array with that name", name)
return
realRange = dataRange
if dataRange[0] == dataRange[1]:
dataRange = [dataRange[0] - 0.1, dataRange[1] + 0.1]
simple.ColorBy(rep, fieldToColorBy)
# Grab data
tmpFileName = path + '__.png'
self.view.ScalarRange = dataRange
self.view.LockBounds = 1
self.view.StartCaptureValues()
simple.SaveScreenshot(tmpFileName, self.view)
self.view.StopCaptureValues()
self.view.LockBounds = 0
if self.canWrite:
# Convert data
self.reader.SetFileName(tmpFileName)
self.reader.Update()
rgbArray = self.reader.GetOutput().GetPointData().GetArray(0)
arraySize = rgbArray.GetNumberOfTuples()
rawArray = vtkFloatArray()
rawArray.SetNumberOfTuples(arraySize)
minValue = 10000.0
maxValue = -100000.0
delta = (dataRange[1] -
dataRange[0]) / 16777215.0 # 2^24 - 1 => 16,777,215
for idx in range(arraySize):
rgb = rgbArray.GetTuple3(idx)
if rgb[0] != 0 or rgb[1] != 0 or rgb[2] != 0:
value = dataRange[0] + delta * float(
rgb[0] * 65536 + rgb[1] * 256 + rgb[2] - 1)
rawArray.SetTuple1(idx, value)
minValue = min(value, minValue)
maxValue = max(value, maxValue)
else:
rawArray.SetTuple1(idx, float('NaN'))
# print ('Array bounds', minValue, maxValue, 'compare to', dataRange)
with open(path, 'wb') as f:
f.write(buffer(rawArray))
# Delete temporary file
if self.cleanAfterMe:
os.remove(tmpFileName)
# Remove representation from view
simple.Hide(source, self.view)
return realRange
def _do_surface_creation(self, mask, mask_sFormMatrix=None):
if mask_sFormMatrix is None:
mask_sFormMatrix = vtkMatrix4x4()
value = np.mean(mask.GetScalarRange())
# Use the mask to create isosurface
mc = vtkContourFilter()
mc.SetInputData(mask)
mc.SetValue(0, value)
mc.ComputeNormalsOn()
mc.Update()
# Mask isosurface
refSurface = mc.GetOutput()
# Create a uniformly meshed surface
tmpPeel = downsample(refSurface)
# Standard space coordinates
# Apply coordinate transform to the meshed mask
mask_ijk2xyz = vtkTransform()
mask_ijk2xyz.SetMatrix(mask_sFormMatrix)
mask_ijk2xyz_filter = vtkTransformPolyDataFilter()
mask_ijk2xyz_filter.SetInputData(tmpPeel)
mask_ijk2xyz_filter.SetTransform(mask_ijk2xyz)
mask_ijk2xyz_filter.Update()
# Smooth the mesh
tmpPeel = smooth(mask_ijk2xyz_filter.GetOutput())
# Configure calculation of normals
tmpPeel = fixMesh(tmpPeel)
# Remove duplicate points etc
# tmpPeel = cleanMesh(tmpPeel)
# Generate triangles
tmpPeel = upsample(tmpPeel)
tmpPeel = smooth(tmpPeel)
tmpPeel = fixMesh(tmpPeel)
tmpPeel = cleanMesh(tmpPeel)
refImageSpace2_xyz_transform = vtkTransform()
refImageSpace2_xyz_transform.SetMatrix(vtk_utils.numpy_to_vtkMatrix4x4(np.linalg.inv(self.affine)))
self.refImageSpace2_xyz = vtkTransformPolyDataFilter()
self.refImageSpace2_xyz.SetTransform(refImageSpace2_xyz_transform)
xyz2_refImageSpace_transform = vtkTransform()
xyz2_refImageSpace_transform.SetMatrix(vtk_utils.numpy_to_vtkMatrix4x4(self.affine))
self.xyz2_refImageSpace = vtkTransformPolyDataFilter()
self.xyz2_refImageSpace.SetTransform(xyz2_refImageSpace_transform)
currentPeel = tmpPeel
self.currentPeelNo = 0
currentPeel= self.MapImageOnCurrentPeel(currentPeel)
newPeel = vtkPolyData()
newPeel.DeepCopy(currentPeel)
newPeel.DeepCopy(currentPeel)
self.peel_normals = vtkFloatArray()
self.peel_centers = vtkFloatArray()
self.peel.append(newPeel)
self.currentPeelActor = vtkActor()
if not np.all(np.equal(self.affine, np.eye(4))):
affine_vtk = self.CreateTransformedVTKAffine()
self.currentPeelActor.SetUserMatrix(affine_vtk)
self.GetCurrentPeelActor(currentPeel)
self.peelActors.append(self.currentPeelActor)
# locator will later find the triangle on the peel surface where the coil's normal intersect
self.locator = vtkCellLocator()
self.PeelDown(currentPeel)
def writeArray(self, path, source, name, component=0):
rep = simple.Show(source, self.view)
rep.Representation = 'Surface'
rep.DiffuseColor = [1,1,1]
dataRange = [0.0, 1.0]
fieldToColorBy = ['POINTS', name]
self.view.ArrayNameToDraw = name
self.view.ArrayComponentToDraw = component
pdi = source.GetPointDataInformation()
cdi = source.GetCellDataInformation()
if pdi.GetArray(name):
self.view.DrawCells = 0
dataRange = pdi.GetArray(name).GetRange(component)
fieldToColorBy[0] = 'POINTS'
elif cdi.GetArray(name):
self.view.DrawCells = 1
dataRange = cdi.GetArray(name).GetRange(component)
fieldToColorBy[0] = 'CELLS'
else:
print ("No array with that name", name)
return
realRange = dataRange
if dataRange[0] == dataRange[1]:
dataRange = [dataRange[0] - 0.1, dataRange[1] + 0.1]
simple.ColorBy(rep, fieldToColorBy)
# Grab data
tmpFileName = path + '__.png'
self.view.ScalarRange = dataRange
self.view.LockBounds = 1
self.view.StartCaptureValues()
simple.SaveScreenshot(tmpFileName, self.view)
self.view.StopCaptureValues()
self.view.LockBounds = 0
if self.canWrite:
# Convert data
self.reader.SetFileName(tmpFileName)
self.reader.Update()
rgbArray = self.reader.GetOutput().GetPointData().GetArray(0)
arraySize = rgbArray.GetNumberOfTuples()
rawArray = vtkFloatArray()
rawArray.SetNumberOfTuples(arraySize)
minValue = 10000.0
maxValue = -100000.0
delta = (dataRange[1] - dataRange[0]) / 16777215.0 # 2^24 - 1 => 16,777,215
for idx in range(arraySize):
rgb = rgbArray.GetTuple3(idx)
if rgb[0] != 0 or rgb[1] != 0 or rgb[2] != 0:
value = dataRange[0] + delta * float(rgb[0]*65536 + rgb[1]*256 + rgb[2] - 1)
rawArray.SetTuple1(idx, value)
minValue = min(value, minValue)
maxValue = max(value, maxValue)
else:
rawArray.SetTuple1(idx, float('NaN'))
# print ('Array bounds', minValue, maxValue, 'compare to', dataRange)
with open(path, 'wb') as f:
f.write(buffer(rawArray))
# Delete temporary file
if self.cleanAfterMe:
os.remove(tmpFileName)
# Remove representation from view
simple.Hide(source, self.view)
return realRange
def writeData(self, time=0):
if not self.dataHandler.can_write:
return
currentScene = [];
for data in self.config['scene']:
currentData = {
'name': data['name'],
'fields': {}
}
currentScene.append(currentData)
if self.surfaceExtract:
self.merge.Input = data['source']
else:
self.merge = simple.MergeBlocks(Input=data['source'], MergePoints=0)
self.surfaceExtract = simple.ExtractSurface(Input=self.merge)
# Extract surface
self.surfaceExtract.UpdatePipeline(time)
ds = self.surfaceExtract.SMProxy.GetClientSideObject().GetOutputDataObject(0)
originalDS = data['source'].SMProxy.GetClientSideObject().GetOutputDataObject(0)
originalPoints = ds.GetPoints()
# Points
points = vtkFloatArray()
nbPoints = originalPoints.GetNumberOfPoints()
points.SetNumberOfComponents(3)
points.SetNumberOfTuples(nbPoints)
for idx in range(nbPoints):
coord = originalPoints.GetPoint(idx)
points.SetTuple3(idx, coord[0], coord[1], coord[2])
pBuffer = buffer(points)
pMd5 = hashlib.md5(pBuffer).hexdigest()
pPath = os.path.join(self.dataHandler.getBasePath(), 'points',"%s.Float32Array" % pMd5)
currentData['points'] = 'points/%s.Float32Array' % pMd5
with open(pPath, 'wb') as f:
f.write(pBuffer)
# Polys
poly = ds.GetPolys()
nbCells = poly.GetNumberOfCells()
cellLocation = 0
idList = vtkIdList()
topo = vtkTypeUInt32Array()
topo.Allocate(poly.GetData().GetNumberOfTuples())
for cellIdx in range(nbCells):
poly.GetCell(cellLocation, idList)
cellSize = idList.GetNumberOfIds()
cellLocation += cellSize + 1
if cellSize == 3:
topo.InsertNextValue(idList.GetId(0))
topo.InsertNextValue(idList.GetId(1))
topo.InsertNextValue(idList.GetId(2))
elif cellSize == 4:
topo.InsertNextValue(idList.GetId(0))
topo.InsertNextValue(idList.GetId(1))
topo.InsertNextValue(idList.GetId(3))
topo.InsertNextValue(idList.GetId(1))
topo.InsertNextValue(idList.GetId(2))
topo.InsertNextValue(idList.GetId(3))
else:
print ("Cell size of", cellSize, "not supported")
iBuffer = buffer(topo)
iMd5 = hashlib.md5(iBuffer).hexdigest()
iPath = os.path.join(self.dataHandler.getBasePath(), 'index',"%s.Uint32Array" % iMd5)
currentData['index'] = 'index/%s.Uint32Array' % iMd5
with open(iPath, 'wb') as f:
f.write(iBuffer)
# Grow object side
self.objSize[data['name']]['points'] = max(self.objSize[data['name']]['points'], nbPoints)
self.objSize[data['name']]['index'] = max(self.objSize[data['name']]['index'], topo.GetNumberOfTuples())
# Colors / FIXME
for fieldName, fieldInfo in iteritems(data['colors']):
array = ds.GetPointData().GetArray(fieldName)
tupleSize = array.GetNumberOfComponents()
arraySize = array.GetNumberOfTuples()
outputField = vtkFloatArray()
outputField.SetNumberOfTuples(arraySize)
if tupleSize == 1:
for i in range(arraySize):
outputField.SetValue(i, array.GetValue(i))
else:
# compute magnitude
tupleIdxs = range(tupleSize)
for i in range(arraySize):
magnitude = 0
for j in tupleIdxs:
magnitude += math.pow(array.GetValue(i * tupleSize + j), 2)
outputField.SetValue(i, math.sqrt(magnitude))
fBuffer = buffer(outputField)
fMd5 = hashlib.md5(fBuffer).hexdigest()
fPath = os.path.join(self.dataHandler.getBasePath(), 'fields',"%s_%s.Float32Array" % (fieldName, fMd5))
with open(fPath, 'wb') as f:
f.write(fBuffer)
currentData['fields'][fieldName] = 'fields/%s_%s.Float32Array' % (fieldName, fMd5)
# Write scene
with open(self.dataHandler.getDataAbsoluteFilePath('scene'), 'w') as f:
f.write(json.dumps(currentScene, indent=2))
def writeData(self, time=0):
if not self.dataHandler.can_write:
return
currentScene = [];
for data in self.config['scene']:
currentData = {
'name': data['name'],
'fields': {},
'cells': {}
}
currentScene.append(currentData)
if self.surfaceExtract:
self.merge.Input = data['source']
else:
self.merge = simple.MergeBlocks(Input=data['source'], MergePoints=0)
self.surfaceExtract = simple.ExtractSurface(Input=self.merge)
# Extract surface
self.surfaceExtract.UpdatePipeline(time)
ds = self.surfaceExtract.SMProxy.GetClientSideObject().GetOutputDataObject(0)
originalDS = data['source'].SMProxy.GetClientSideObject().GetOutputDataObject(0)
originalPoints = ds.GetPoints()
# Points
points = vtkFloatArray()
nbPoints = originalPoints.GetNumberOfPoints()
points.SetNumberOfComponents(3)
points.SetNumberOfTuples(nbPoints)
for idx in range(nbPoints):
coord = originalPoints.GetPoint(idx)
points.SetTuple3(idx, coord[0], coord[1], coord[2])
pBuffer = buffer(points)
pMd5 = hashlib.md5(pBuffer).hexdigest()
pPath = os.path.join(self.dataHandler.getBasePath(), 'data',"%s.Float32Array" % pMd5)
currentData['points'] = 'data/%s.Float32Array' % pMd5
with open(pPath, 'wb') as f:
f.write(pBuffer)
# Handle cells
writeCellArray(self.dataHandler, currentData['cells'], 'verts', ds.GetVerts().GetData())
writeCellArray(self.dataHandler, currentData['cells'], 'lines', ds.GetLines().GetData())
writeCellArray(self.dataHandler, currentData['cells'], 'polys', ds.GetPolys().GetData())
writeCellArray(self.dataHandler, currentData['cells'], 'strips', ds.GetStrips().GetData())
# Fields
for fieldName, fieldInfo in iteritems(data['colors']):
array = None
if 'constant' in fieldInfo:
currentData['fields'][fieldName] = fieldInfo
continue
elif 'POINT_DATA' in fieldInfo['location']:
array = ds.GetPointData().GetArray(fieldName)
elif 'CELL_DATA' in fieldInfo['location']:
array = ds.GetCellData().GetArray(fieldName)
jsType = jsMapping[arrayTypesMapping[array.GetDataType()]]
arrayRange = array.GetRange(-1)
tupleSize = array.GetNumberOfComponents()
arraySize = array.GetNumberOfTuples()
if tupleSize == 1:
outputField = array
else:
# compute magnitude
outputField = array.NewInstance()
outputField.SetNumberOfTuples(arraySize)
tupleIdxs = range(tupleSize)
for i in range(arraySize):
magnitude = 0
for j in tupleIdxs:
magnitude += math.pow(array.GetValue(i * tupleSize + j), 2)
outputField.SetValue(i, math.sqrt(magnitude))
fBuffer = buffer(outputField)
fMd5 = hashlib.md5(fBuffer).hexdigest()
fPath = os.path.join(self.dataHandler.getBasePath(), 'data',"%s_%s.%s" % (fieldName, fMd5, jsType))
with open(fPath, 'wb') as f:
f.write(fBuffer)
currentRange = self.ranges[fieldName]
if currentRange[1] < currentRange[0]:
currentRange[0] = arrayRange[0];
currentRange[1] = arrayRange[1];
else:
currentRange[0] = arrayRange[0] if arrayRange[0] < currentRange[0] else currentRange[0];
currentRange[1] = arrayRange[1] if arrayRange[1] > currentRange[1] else currentRange[1];
currentData['fields'][fieldName] = {
'array' : 'data/%s_%s.%s' % (fieldName, fMd5, jsType),
'location': fieldInfo['location'],
'range': outputField.GetRange()
}
# Write scene
with open(self.dataHandler.getDataAbsoluteFilePath('scene'), 'w') as f:
f.write(json.dumps(currentScene, indent=4))
def writeData(self):
composite_size = len(self.representations)
self.view.UpdatePropertyInformation()
self.view.Background = [0,0,0]
imageSize = self.view.ViewSize[0] * self.view.ViewSize[1]
# Generate the heavy data
for camPos in self.getCamera():
self.view.CameraFocalPoint = camPos['focalPoint']
self.view.CameraPosition = camPos['position']
self.view.CameraViewUp = camPos['viewUp']
# Show all representations
for compositeIdx in range(composite_size):
rep = self.representations[compositeIdx]
rep.Visibility = 1
# Fix camera bounds
self.view.LockBounds = 0
simple.Render(self.view)
self.view.LockBounds = 1
# Update destination directory
dest_path = os.path.dirname(self.dataHandler.getDataAbsoluteFilePath('directory'))
# Write camera information
if self.dataHandler.can_write:
with open(os.path.join(dest_path, "camera.json"), 'w') as f:
f.write(json.dumps(camPos))
# Hide all representations
for compositeIdx in range(composite_size):
rep = self.representations[compositeIdx]
rep.Visibility = 0
# Show only active Representation
# Extract images for each fields
for compositeIdx in range(composite_size):
rep = self.representations[compositeIdx]
if compositeIdx > 0:
self.representations[compositeIdx - 1].Visibility = 0
rep.Visibility = 1
# capture Z
simple.Render()
zBuffer = self.view.CaptureDepthBuffer()
with open(os.path.join(dest_path, 'depth_%d.float32' % compositeIdx), 'wb') as f:
f.write(buffer(zBuffer))
# Prevent color interference
rep.DiffuseColor = [1,1,1]
# Handle light
for lightType in self.config['light']:
if lightType == 'intensity':
rep.AmbientColor = [1,1,1]
rep.SpecularColor = [1,1,1]
self.view.StartCaptureLuminance()
image = self.view.CaptureWindow(1)
imagescalars = image.GetPointData().GetScalars()
self.view.StopCaptureLuminance()
# Extract specular information
specularOffset = 1 # [diffuse, specular, ?]
imageSize = imagescalars.GetNumberOfTuples()
specularComponent = vtkUnsignedCharArray()
specularComponent.SetNumberOfComponents(1)
specularComponent.SetNumberOfTuples(imageSize)
for idx in range(imageSize):
specularComponent.SetValue(idx, imagescalars.GetValue(idx * 3 + specularOffset))
with open(os.path.join(dest_path, 'intensity_%d.uint8' % compositeIdx), 'wb') as f:
f.write(buffer(specularComponent))
# Free memory
image.UnRegister(None)
if lightType == 'normal':
if rep.Representation in ['Point Gaussian', 'Points', 'Outline', 'Wireframe']:
uniqNormal = [(camPos['position'][i] - camPos['focalPoint'][i]) for i in range(3)]
tmpNormalArray = vtkFloatArray()
tmpNormalArray.SetNumberOfComponents(1)
tmpNormalArray.SetNumberOfTuples(imageSize)
for comp in range(3):
tmpNormalArray.FillComponent(0, uniqNormal[comp])
with open(os.path.join(dest_path, 'normal_%d_%d.float32' % (compositeIdx, comp)), 'wb') as f:
f.write(buffer(tmpNormalArray))
else:
for comp in range(3):
# Configure view to handle POINT_DATA / CELL_DATA
self.view.DrawCells = 0
self.view.ArrayNameToDraw = 'Normals'
self.view.ArrayComponentToDraw = comp
self.view.ScalarRange = [-1.0, 1.0]
self.view.StartCaptureValues()
image = self.view.CaptureWindow(1)
imagescalars = image.GetPointData().GetScalars()
self.view.StopCaptureValues()
# Convert RGB => Float => Write
floatArray = data_converter.convertRGBArrayToFloatArray(imagescalars, [-1.0, 1.0])
with open(os.path.join(dest_path, 'normal_%d_%d.float32' % (compositeIdx, comp)), 'wb') as f:
f.write(buffer(floatArray))
# Free memory
image.UnRegister(None)
# Handle color by
for fieldName, fieldConfig in iteritems(self.config['scene'][compositeIdx]['colors']):
if 'constant' in fieldConfig:
# Skip nothing to render
continue
# Configure view to handle POINT_DATA / CELL_DATA
if fieldConfig['location'] == 'POINT_DATA':
self.view.DrawCells = 0
else:
self.view.DrawCells = 1
self.view.ArrayNameToDraw = fieldName
self.view.ArrayComponentToDraw = 0
self.view.ScalarRange = fieldConfig['range']
self.view.StartCaptureValues()
image = self.view.CaptureWindow(1)
imagescalars = image.GetPointData().GetScalars()
self.view.StopCaptureValues()
floatArray = data_converter.convertRGBArrayToFloatArray(imagescalars, fieldConfig['range'])
with open(os.path.join(dest_path, '%d_%s.float32' % (compositeIdx, fieldName)), 'wb') as f:
f.write(buffer(floatArray))
self.dataHandler.registerData(name='%d_%s' % (compositeIdx, fieldName), fileName='/%d_%s.float32' % (compositeIdx, fieldName), type='array', categories=['%d_%s' % (compositeIdx, fieldName)])
# Free memory
image.UnRegister(None)
def processDirectory(self, directory):
# Load depth
depthStack = []
imageSize = self.config['size']
linearSize = imageSize[0] * imageSize[1]
nbLayers = len(self.layers)
stackSize = nbLayers * linearSize
layerList = range(nbLayers)
for layerIdx in layerList:
with open(os.path.join(directory, 'depth_%d.float32' % layerIdx), "rb") as f:
a = array.array('f')
a.fromfile(f, linearSize)
depthStack.append(a)
orderArray = vtkUnsignedCharArray()
orderArray.SetName('layerIdx');
orderArray.SetNumberOfComponents(1)
orderArray.SetNumberOfTuples(stackSize)
pixelSorter = [(i, i) for i in layerList]
for pixelId in range(linearSize):
# Fill pixelSorter
for layerIdx in layerList:
if depthStack[layerIdx][pixelId] < 1.0:
pixelSorter[layerIdx] = (layerIdx, depthStack[layerIdx][pixelId])
else:
pixelSorter[layerIdx] = (255, 1.0)
# Sort pixel layers
pixelSorter.sort(key=lambda tup: tup[1])
# Fill sortedOrder array
for layerIdx in layerList:
orderArray.SetValue(layerIdx * linearSize + pixelId, pixelSorter[layerIdx][0])
# Write order (sorted order way)
with open(os.path.join(directory, 'order.uint8'), 'wb') as f:
f.write(buffer(orderArray))
self.data.append({'name': 'order', 'type': 'array', 'fileName': '/order.uint8'})
# Remove depth files
for layerIdx in layerList:
os.remove(os.path.join(directory, 'depth_%d.float32' % layerIdx))
# Encode Normals (sorted order way)
if 'normal' in self.config['light']:
sortedNormal = vtkUnsignedCharArray()
sortedNormal.SetNumberOfComponents(3) # x,y,z
sortedNormal.SetNumberOfTuples(stackSize)
# Get Camera orientation and rotation information
camDir = [0,0,0]
worldUp = [0,0,0]
with open(os.path.join(directory, "camera.json"), "r") as f:
camera = json.load(f)
camDir = normalize([ camera['position'][i] - camera['focalPoint'][i] for i in range(3) ])
worldUp = normalize(camera['viewUp'])
# [ camRight, camUp, camDir ] will be our new orthonormal basis for normals
camRight = vectProduct(camDir, worldUp)
camUp = vectProduct(camRight, camDir)
# Tmp structure to capture (x,y,z) normal
normalByLayer = vtkFloatArray()
normalByLayer.SetNumberOfComponents(3)
normalByLayer.SetNumberOfTuples(stackSize)
# Capture all layer normals
zPosCount = 0
zNegCount = 0
for layerIdx in layerList:
# Load normal(x,y,z) from current layer
normalLayer = []
for comp in [0, 1, 2]:
with open(os.path.join(directory, 'normal_%d_%d.float32' % (layerIdx, comp)), "rb") as f:
a = array.array('f')
a.fromfile(f, linearSize)
normalLayer.append(a)
# Store normal inside vtkArray
offset = layerIdx * linearSize
for idx in range(linearSize):
normalByLayer.SetTuple3(
idx + offset,
normalLayer[0][idx],
normalLayer[1][idx],
normalLayer[2][idx]
)
# Re-orient normal to be view based
vect = normalByLayer.GetTuple3(layerIdx * linearSize + idx)
if not math.isnan(vect[0]):
# Express normal in new basis we computed above
rVect = normalize([ -dotProduct(vect, camRight), dotProduct(vect, camUp), dotProduct(vect, camDir) ])
# Need to reverse vector ?
if rVect[2] < 0:
normalByLayer.SetTuple3(layerIdx * linearSize + idx, -rVect[0], -rVect[1], -rVect[2])
else:
normalByLayer.SetTuple3(layerIdx * linearSize + idx, rVect[0], rVect[1], rVect[2])
# Sort normals and encode them as 3 bytes ( -1 < xy < 1 | 0 < z < 1)
for idx in range(stackSize):
layerIdx = int(orderArray.GetValue(idx))
if layerIdx == 255:
# No normal => same as view direction
sortedNormal.SetTuple3(idx, 128, 128, 255)
else:
offset = layerIdx * linearSize
imageIdx = idx % linearSize
vect = normalByLayer.GetTuple3(imageIdx + offset)
if not math.isnan(vect[0]) and not math.isnan(vect[1]) and not math.isnan(vect[2]):
sortedNormal.SetTuple3(idx, int(127.5 * (vect[0] + 1)), int(127.5 * (vect[1] + 1)), int(255 * vect[2]))
else:
print ('WARNING: encountered NaN in normal of layer ',layerIdx,': [',vect[0],',',vect[1],',',vect[2],']')
sortedNormal.SetTuple3(idx, 128, 128, 255)
# Write the sorted data
with open(os.path.join(directory, 'normal.uint8'), 'wb') as f:
f.write(buffer(sortedNormal))
self.data.append({'name': 'normal', 'type': 'array', 'fileName': '/normal.uint8', 'categories': ['normal']})
# Remove depth files
for layerIdx in layerList:
os.remove(os.path.join(directory, 'normal_%d_%d.float32' % (layerIdx, 0)))
os.remove(os.path.join(directory, 'normal_%d_%d.float32' % (layerIdx, 1)))
os.remove(os.path.join(directory, 'normal_%d_%d.float32' % (layerIdx, 2)))
# Encode Intensity (sorted order way)
if 'intensity' in self.config['light']:
sortedIntensity = vtkUnsignedCharArray()
sortedIntensity.SetNumberOfTuples(stackSize)
intensityLayers = []
for layerIdx in layerList:
with open(os.path.join(directory, 'intensity_%d.uint8' % layerIdx), "rb") as f:
a = array.array('B')
a.fromfile(f, linearSize)
intensityLayers.append(a)
for idx in range(stackSize):
layerIdx = int(orderArray.GetValue(idx))
if layerIdx == 255:
sortedIntensity.SetValue(idx, 255)
else:
imageIdx = idx % linearSize
sortedIntensity.SetValue(idx, intensityLayers[layerIdx][imageIdx])
with open(os.path.join(directory, 'intensity.uint8'), 'wb') as f:
f.write(buffer(sortedIntensity))
self.data.append({'name': 'intensity', 'type': 'array', 'fileName': '/intensity.uint8', 'categories': ['intensity']})
# Remove depth files
for layerIdx in layerList:
os.remove(os.path.join(directory, 'intensity_%d.uint8' % layerIdx))
def processDirectory(self, directory):
self.imageReader.SetFileName(os.path.join(directory, 'rgb.png'))
self.imageReader.Update()
rgbArray = self.imageReader.GetOutput().GetPointData().GetArray(0)
self.composite.load(os.path.join(directory, 'composite.json'))
orderArray = self.composite.getSortedOrderArray()
imageSize = self.composite.getImageSize()
stackSize = self.composite.getStackSize()
# Write order (sorted order way)
with open(os.path.join(directory, 'order.uint8'), 'wb') as f:
f.write(buffer(orderArray))
self.data.append({'name': 'order', 'type': 'array', 'fileName': '/order.uint8'})
# Encode Normals (sorted order way)
if 'normal' in self.layers[0]:
sortedNormal = vtkUnsignedCharArray()
sortedNormal.SetNumberOfComponents(3) # x,y,z
sortedNormal.SetNumberOfTuples(stackSize)
# Get Camera orientation and rotation information
camDir = [0,0,0]
worldUp = [0,0,0]
with open(os.path.join(directory, "camera.json"), "r") as f:
camera = json.load(f)
camDir = normalize([ camera['position'][i] - camera['focalPoint'][i] for i in range(3) ])
worldUp = normalize(camera['viewUp'])
# [ camRight, camUp, camDir ] will be our new orthonormal basis for normals
camRight = vectProduct(camDir, worldUp)
camUp = vectProduct(camRight, camDir)
# Tmp structure to capture (x,y,z) normal
normalByLayer = vtkFloatArray()
normalByLayer.SetNumberOfComponents(3)
normalByLayer.SetNumberOfTuples(stackSize)
# Capture all layer normals
layerIdx = 0
zPosCount = 0
zNegCount = 0
for layer in self.layers:
normalOffset = layer['normal']
for idx in range(imageSize):
normalByLayer.SetTuple3(
layerIdx * imageSize + idx,
getScalarFromRGB(rgbArray.GetTuple(idx + normalOffset[0] * imageSize)),
getScalarFromRGB(rgbArray.GetTuple(idx + normalOffset[1] * imageSize)),
getScalarFromRGB(rgbArray.GetTuple(idx + normalOffset[2] * imageSize))
)
# Re-orient normal to be view based
vect = normalByLayer.GetTuple3(layerIdx * imageSize + idx)
if not math.isnan(vect[0]):
# Express normal in new basis we computed above
rVect = normalize([ -dotProduct(vect, camRight), dotProduct(vect, camUp), dotProduct(vect, camDir) ])
# Need to reverse vector ?
if rVect[2] < 0:
normalByLayer.SetTuple3(layerIdx * imageSize + idx, -rVect[0], -rVect[1], -rVect[2])
else:
normalByLayer.SetTuple3(layerIdx * imageSize + idx, rVect[0], rVect[1], rVect[2])
layerIdx += 1
# Sort normals and encode them as 3 bytes ( -1 < xy < 1 | 0 < z < 1)
for idx in range(stackSize):
layerIdx = int(orderArray.GetValue(idx))
if layerIdx == 255:
# No normal => same as view direction
sortedNormal.SetTuple3(idx, 128, 128, 255)
else:
offset = layerIdx * imageSize
imageIdx = idx % imageSize
vect = normalByLayer.GetTuple3(imageIdx + offset)
if not math.isnan(vect[0]) and not math.isnan(vect[1]) and not math.isnan(vect[2]):
sortedNormal.SetTuple3(idx, int(127.5 * (vect[0] + 1)), int(127.5 * (vect[1] + 1)), int(255 * vect[2]))
else:
print ('WARNING: encountered NaN in normal of layer ',layerIdx,': [',vect[0],',',vect[1],',',vect[2],']')
sortedNormal.SetTuple3(idx, 128, 128, 255)
# Write the sorted data
with open(os.path.join(directory, 'normal.uint8'), 'wb') as f:
f.write(buffer(sortedNormal))
self.data.append({'name': 'normal', 'type': 'array', 'fileName': '/normal.uint8', 'categories': ['normal']})
# Encode Intensity (sorted order way)
if 'intensity' in self.layers[0]:
intensityOffsets = []
sortedIntensity = vtkUnsignedCharArray()
sortedIntensity.SetNumberOfTuples(stackSize)
for layer in self.layers:
intensityOffsets.append(layer['intensity'])
for idx in range(stackSize):
layerIdx = int(orderArray.GetValue(idx))
if layerIdx == 255:
sortedIntensity.SetValue(idx, 255)
else:
offset = 3 * intensityOffsets[layerIdx] * imageSize
imageIdx = idx % imageSize
sortedIntensity.SetValue(idx, rgbArray.GetValue(imageIdx * 3 + offset))
with open(os.path.join(directory, 'intensity.uint8'), 'wb') as f:
f.write(buffer(sortedIntensity))
self.data.append({'name': 'intensity', 'type': 'array', 'fileName': '/intensity.uint8', 'categories': ['intensity']})
# Encode Each layer Scalar
layerIdx = 0
for layer in self.layers:
for scalar in layer:
if scalar not in ['intensity', 'normal']:
offset = imageSize * layer[scalar]
scalarRange = self.config['scene'][layerIdx]['colors'][scalar]['range']
delta = (scalarRange[1] - scalarRange[0]) / 16777215.0 # 2^24 - 1 => 16,777,215
scalarArray = vtkFloatArray()
scalarArray.SetNumberOfTuples(imageSize)
for idx in range(imageSize):
rgb = rgbArray.GetTuple(idx + offset)
if rgb[0] != 0 or rgb[1] != 0 or rgb[2] != 0:
# Decode encoded value
value = scalarRange[0] + delta * float(rgb[0]*65536 + rgb[1]*256 + rgb[2] - 1)
scalarArray.SetValue(idx, value)
else:
# No value
scalarArray.SetValue(idx, float('NaN'))
with open(os.path.join(directory, '%d_%s.float32' % (layerIdx, scalar)), 'wb') as f:
f.write(buffer(scalarArray))
self.data.append({'name': '%d_%s' % (layerIdx, scalar), 'type': 'array', 'fileName': '/%d_%s.float32' % (layerIdx, scalar), 'categories': ['%d_%s' % (layerIdx, scalar)]})
layerIdx += 1
