Internal:PODM CNF: Difference between revisions

From crtc.cs.odu.edu
Jump to navigation Jump to search
Ctsolakis (talk | contribs)
No edit summary
Ctsolakis (talk | contribs)
No edit summary
Line 1: Line 1:
= Things TODO =
= Things TODO =
# Create scripts native to the platform to run the image easily.
# Create scripts to run the image easily. <span style="font-size:21px">✔</span>
# Test on Linux, Windows and MacOS
# Test:
# Add Linear Interpolation Code as default output
## Linux <span style="font-size:21px">✔</span>
## Code is ready need to be integrated with PODM
## Windows <span style="font-size:21px">✔</span>
# Segment automatically nrrd data
## MacOS
## i.e. iterate with ITK Gajik's image and convert values !=0 -> 1
# Add Linear Interpolation Code as default output <span style="font-size:21px">✔</span>
## Should be done as preproceccing step in PODM and it should be ON by default
## Code is ready need to be integrated with PODM <span style="font-size:21px">✔</span>
# add Volume grading command line option (ON and OFF for now) ( right now there is a macro, convert it to input flag OFF by default)
# Segment automatically nrrd data <span style="font-size:21px">✔</span>
# nrrd images do not visualize well in paraview -> add  convert_image tool in the docker image. ( available at /RC/group/RC_NIKOS/Christos/convert_image.git ) so that the users can convert their raw data and visualize them in paraview, add runscript (or option in runscript) for that
## i.e. iterate with ITK Gajik's image and convert values !=0 -> 1 <span style="font-size:21px">✔</span>
## Should be done as preproceccing step in PODM and it should be ON by default <span style="font-size:21px">✔</span>
# add Volume grading command line option (ON and OFF for now) ( right now there is a macro, convert it to input flag OFF by default) <span style="font-size:21px">✔</span>
# nrrd images do not visualize well in paraview -> add  convert_image tool in the docker image. ( available at /RC/group/RC_NIKOS/Christos/convert_image.git ) so that the users can convert their raw data and visualize them in paraview, add runscript (or option in runscript) for that<span style="font-size:21px">✔</span> 
# add memory limit flag for docker inside the python script
# add memory limit flag for docker inside the python script
# Create User Documentation  
# Create User Documentation <span style="font-size:21px">✔</span>
# explain better delta ?
# explain better delta ?
# Clean up text output (low priority)
# Clean up text output <span style="font-size:21px">✔</span>
# segmentation can be easily be implemented in parallel just by using the Multithreaded ITK template [https://vtk.org/Wiki/ITK/Examples/Developer/MultiThreadedImageFilter] (maybe also  linear interpolation ?) (low priority)
# segmentation can be easily be implemented in parallel just by using the Multithreaded ITK template [https://vtk.org/Wiki/ITK/Examples/Developer/MultiThreadedImageFilter] (maybe also  linear interpolation ?) (low priority)

Revision as of 16:36, 10 May 2019

Things TODO

  1. Create scripts to run the image easily. ✔
  2. Test:
    1. Linux ✔
    2. Windows ✔
    3. MacOS
  3. Add Linear Interpolation Code as default output ✔
    1. Code is ready need to be integrated with PODM ✔
  4. Segment automatically nrrd data ✔
    1. i.e. iterate with ITK Gajik's image and convert values !=0 -> 1 ✔
    2. Should be done as preproceccing step in PODM and it should be ON by default ✔
  5. add Volume grading command line option (ON and OFF for now) ( right now there is a macro, convert it to input flag OFF by default) ✔
  6. nrrd images do not visualize well in paraview -> add convert_image tool in the docker image. ( available at /RC/group/RC_NIKOS/Christos/convert_image.git ) so that the users can convert their raw data and visualize them in paraview, add runscript (or option in runscript) for that✔
  7. add memory limit flag for docker inside the python script
  8. Create User Documentation ✔
  9. explain better delta ?
  10. Clean up text output ✔
  11. segmentation can be easily be implemented in parallel just by using the Multithreaded ITK template [1] (maybe also linear interpolation ?) (low priority)