def __init__(self, id, name):
try:
ivw.Processor.__init__(self, id, name)
self.slider = IntProperty("slider", "slider", 0, 0, 100, 1)
self.addProperty(self.slider, owner=False)
self.pattern = FilePatternProperty("pattern", "pattern", "", "")
self.addProperty(self.pattern)
self.out = FileProperty("out", "out", "", "")
self.addProperty(self.out)
self.out.readOnly = True
self.triggerLoad = ButtonProperty("load", "Load")
self.addProperty(self.triggerLoad)
def patternChange():
self.slider.maxValue = len(self.pattern.fileList)
self.pattern.onChange(patternChange)
def sliderChange():
if self.slider.value < len(self.pattern.fileList):
self.out.value = self.pattern.fileList[self.slider.value]
self.load.press()
self.slider.onChange(sliderChange)
except Exception as e:
print(f"Error: {e}")
class FileGlob(ivw.Processor):
def __init__(self, id, name):
try:
ivw.Processor.__init__(self, id, name)
self.slider = IntProperty("slider", "slider", 0, 0, 100, 1)
self.addProperty(self.slider, owner=False)
self.pattern = FilePatternProperty("pattern", "pattern", "", "")
self.addProperty(self.pattern)
self.out = FileProperty("out", "out", "", "")
self.addProperty(self.out)
self.out.readOnly = True
self.triggerLoad = ButtonProperty("load", "Load")
self.addProperty(self.triggerLoad)
def patternChange():
self.slider.maxValue = len(self.pattern.fileList)
self.pattern.onChange(patternChange)
def sliderChange():
if self.slider.value < len(self.pattern.fileList):
self.out.value = self.pattern.fileList[self.slider.value]
self.load.press()
self.slider.onChange(sliderChange)
except Exception as e:
print(f"Error: {e}")
@staticmethod
def processorInfo():
return ivw.ProcessorInfo(classIdentifier="org.inviwo.FileGlob",
displayName="FileGlob",
category="Python",
codeState=ivw.CodeState.Stable,
tags=ivw.Tags.PY)
def getProcessorInfo(self):
return FileGlob.processorInfo()
def initializeResources(self):
pass
def process(self):
pass
self.addOutport(ImageOutport("outport"))
if not "sample" in self.outports:
self.addOutport(ImageOutport("sample"))
if not "off" in self.properties:
self.addProperty(
BoolProperty("off", "Off", True))
if not "display_input" in self.properties:
self.addProperty(
BoolProperty("display_input", "Show Input", True))
if not "sample_num" in self.properties:
self.addProperty(
IntProperty("sample_num", "Sample Number", 0)
)
self.getPropertyByIdentifier("sample_num").minValue = 0
self.getPropertyByIdentifier("sample_num").maxValue = 63
def process(self):
"""Perform the model warping and output an image grid"""
if self.getPropertyByIdentifier("off").value:
print("Image warping is currently turned off")
return 1
start_time = time.time()
if self.getPropertyByIdentifier("display_input").value:
im_data = []
for name in INPORT_LIST:
self.addInport(ImageInport(name))
if not "outport" in self.outports:
self.addOutport(ImageOutport("outport"))
if not "sample" in self.outports:
self.addOutport(ImageOutport("sample"))
if not "off" in self.properties:
self.addProperty(BoolProperty("off", "Off", True))
if not "display_input" in self.properties:
self.addProperty(BoolProperty("display_input", "Show Input", True))
if not "sample_num" in self.properties:
self.addProperty(IntProperty("sample_num", "Sample Number", 0))
self.getPropertyByIdentifier("sample_num").minValue = 0
self.getPropertyByIdentifier("sample_num").maxValue = 63
def process(self):
"""Perform the model warping and output an image grid"""
if self.getPropertyByIdentifier("off").value:
print("Image warping is currently turned off")
return 1
start_time = time.time()
if self.getPropertyByIdentifier("display_input").value:
im_data = []
for name in INPORT_LIST:
from inviwopy.data import Volume, TransferFunction
from math import ceil
import numpy as np
from random import random
if not "outport" in self.outports:
self.addOutport(VolumeOutport("outport"))
if not "volinport" in self.inports:
self.addInport(VolumeInport("volinport"))
if not "num_peaks" in self.properties:
self.addProperty(
IntProperty("num_peaks", "Number of peaks in Transfer Function", 3, 1,
20))
if not "start" in self.properties:
self.addProperty(IntProperty("start", "Peak to start at", 3, 1, 20))
if not "tf" in self.properties:
self.addProperty(
#TransferFunctionProperty("tf", "Transfer Function", TransferFunction(),# self.inports.volinport)
TransferFunctionProperty("tf", "Transfer Function",
TransferFunction()))
if not "button" in self.properties:
self.addProperty(ButtonProperty("button", "Generate TF"))
def random_colour():
InvalidationLevel.InvalidOutput,
PropertySemantics("PythonEditor")))
if not "use_scan_basis" in self.properties:
self.addProperty(
BoolProperty("use_scan_basis", "Use the scanned file basis", False,
InvalidationLevel.InvalidOutput,
PropertySemantics("PythonEditor")))
if not "basis" in self.properties:
self.addProperty(
FloatVec3Property("basis", "X, Y, Z basis scales", vec3(1.0),
vec3(0.0), vec3(1.0), vec3(0.001)))
if not "max" in self.properties:
self.addProperty(IntProperty("max", "Defined data max", 600, 1, 1500))
def process(self):
"""
The PythonScriptProcessor will call this process function whenever the processor process
function is called. The argument 'self' represents the PythonScriptProcessor.
"""
if self.properties.use_nifti.value == True:
print("Loading nii data at " + self.properties.location.value)
img = nib.load(self.properties.location.value)
print(img.header)
print(img.get_data_dtype())
data = img.get_fdata()
else:
print("Loading numpy data at " + self.properties.location.value)