FilterProgressReporting/FilterProgressReporting.py

#!/usr/bin/env python
# =========================================================================
#
#  Copyright NumFOCUS
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#         http://www.apache.org/licenses/LICENSE-2.0.txt
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
#
# =========================================================================
 
import os
import sys
 
import SimpleITK as sitk
 
if len(sys.argv) < 4:
    print("Usage: " + sys.argv[0] + " <input> <variance> <output>")
    sys.exit(1)
 
 
 
class MyCommand(sitk.Command):
    def __init__(self, po):
        # required
        super(MyCommand, self).__init__()
        self.processObject = po
 
    def Execute(self):
        print(
            f"{self.processObject.GetName()}"
            + f" Progress: {self.processObject.GetProgress():1.2f}"
        )
 
 
 
 
reader = sitk.ImageFileReader()
reader.SetFileName(sys.argv[1])
image = reader.Execute()
 
pixelID = image.GetPixelID()
 
gaussian = sitk.DiscreteGaussianImageFilter()
gaussian.SetVariance(float(sys.argv[2]))
 
 
gaussian.AddCommand(sitk.sitkStartEvent, lambda: print("StartEvent"))
gaussian.AddCommand(sitk.sitkEndEvent, lambda: print("EndEvent"))
 
 
cmd = MyCommand(gaussian)
gaussian.AddCommand(sitk.sitkProgressEvent, cmd)
 
image = gaussian.Execute(image)
 
caster = sitk.CastImageFilter()
caster.SetOutputPixelType(pixelID)
image = caster.Execute(image)
 
writer = sitk.ImageFileWriter()
writer.SetFileName(sys.argv[3])
writer.Execute(image)
 
if "SITK_NOSHOW" not in os.environ:
    sitk.Show(image, "Simple Gaussian")