Use `Converter.numpy2vtkImage` in `setInputAsNumpy` for viewer3D

[paskino]

Currently the code at setInputAsNumpy creates a new VTK image, and also not really correct.

It should really call the converter which will not copy the data from the numpy array to the VTK image.

from ccpi.viewer.utils.conversion import Converter
vtkdata = Converter.numpy2vtkImage(data)
v.setInputData(vtkdata)

CILViewer/Wrappers/Python/ccpi/viewer/CILViewer.py

Lines 595 to 623 in 1913676

	if (len(numpy.shape(numpyarray)) == 3):
	doubleImg = vtk.vtkImageData()
	shape = numpy.shape(numpyarray)
	doubleImg.SetDimensions(shape[0], shape[1], shape[2])
	doubleImg.SetOrigin(0, 0, 0)
	doubleImg.SetSpacing(1, 1, 1)
	doubleImg.SetExtent(0, shape[0] - 1, 0, shape[1] - 1, 0, shape[2] - 1)
	doubleImg.AllocateScalars(vtk.VTK_DOUBLE, 1)
	for i in range(shape[0]):
	for j in range(shape[1]):
	for k in range(shape[2]):
	doubleImg.SetScalarComponentFromDouble(i, j, k, 0, numpyarray[i][j][k])
	# rescale to appropriate VTK_UNSIGNED_SHORT
	stats = vtk.vtkImageAccumulate()
	stats.SetInputData(doubleImg)
	stats.Update()
	iMin = stats.GetMin()[0]
	iMax = stats.GetMax()[0]
	scale = vtk.VTK_UNSIGNED_SHORT_MAX / (iMax - iMin)
	shiftScaler = vtk.vtkImageShiftScale()
	shiftScaler.SetInputData(doubleImg)
	shiftScaler.SetScale(scale)
	shiftScaler.SetShift(iMin)
	shiftScaler.SetOutputScalarType(vtk.VTK_UNSIGNED_SHORT)
	shiftScaler.Update()
	self.img3D = shiftScaler.GetOutput()