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Niftynet meeting 14th may 2018
Wenqi Li edited this page Jun 20, 2018
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1 revision
Attending: Zach Felix Dzhoshkun Tom Va. Wenqi Carole
IO design
- Demonstration of new input format for use with tf.dataset - one modality numpy array can be used with Keras
- Need for Metadata integration (subject info ex diagnostic, age, genetic status...): either with csv list or as parsed text file - Matching by Subject id
- Preprocessing needed at both image and patch level
- Need for new look at selective sampler. Too slow for the moment
- Loading of very large files: With jpeg and tiff, possible to load only part of the image but need to keep track the place of the sampling. Possible to read png with open-cv
FAQ
- Need for an FAQ list + List of things that can go wrong for various reasons.
- To be populated and written
Migrating to GitHub
- Closing Cmiclab issue list - Deadline for stop on CMICLab and transfer to GitHub thereon
- Update contributors' guide for GitHub workflow
- Need to change md for contributors
- Issue list to be closed on CMICLab
- Pb of migration: No migration infrastructure available. Need to be done manually.
- Squashing of commits after merge requests? How to take steps back?
Demos
- Image classification WIP
- 2D image segmentation demo WIP
New version
- v0.3.0 releasing soon
Compatibility
- NN doesn't work with Tensorflow 1.8