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1) Implemented docker submissions for MedICI site (should work for upcoming challenges).Learn the basics of pyTorch in order to build sample submission that exercises the GPU.

2) Update form with edits from Ulli and Carolyn. 2) Made a MedICI PR static site to demonstrated the MedICI capabilities.


Planned for next month

1)

Submit real dockers from MICCAI competition.

Implement Docker image submission with real inference implemented

2) Make edits to PR website as needed.

Comments

Things that went well:

  • pyTorch is approachable and I'm getting the hang of it. Just trained my very first model. Essentially running this on the path\rad data is all we need.

Things that could be improved:

  • My current understanding of pyTorch
MeetingDate
Bi-weekly Meeting #1

07 Feb  

Bi-weekly Meeting #2

21 Feb  

Milestones

DescriptionDate
Trained my first model in pyTorch

 

Task

DescriptionResolutionStatusCreation DateClose Date
Create Docker imagestartedpending

 

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Risks

--
DescriptionMitigationRankStatusCreation DateRealizationClose DateThe worker queue system in theory can handle multiple submissions by participants. Should that assumption not hold we could be in for a nasty surprise that this doesn't work as expected.Test real AI containers that can take up to half a day to run on the system and submit multiple containers.1In Progress1/13/2020--