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image transformations for improved encoding #829

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jeff-regier opened this issue Jun 23, 2023 · 0 comments · Fixed by #878
Closed
4 of 5 tasks

image transformations for improved encoding #829

jeff-regier opened this issue Jun 23, 2023 · 0 comments · Fixed by #878
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@sawanp813
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version 0.3

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@jeff-regier
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jeff-regier commented Jun 23, 2023 •
edited by sawanp813
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Evaluate whether/which transformations of images improve encoder performance. Some transformations to consider:

  • log (with various offsets and rescalings)
  • sigmoid (with various offsets and rescalings)
  • stacking/coaddition (across bands)
  • z-scoring (per pixel, at perhaps other ways too)
  • compositions of the above transformations

For all these, Hydra multi-run should be helpful. We'd like to keep a record or what did/didn't work well.
@jeff-regier jeff-regier mentioned this issue Jun 23, 2023
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@jeff-regier jeff-regier added this to the version 0.3 milestone Jul 4, 2023
@sawanp813 sawanp813 mentioned this issue Jul 18, 2023
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@jeff-regier jeff-regier linked a pull request Jul 20, 2023 that will close this issue
#829 input transforms #878
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sawanp813 added a commit that referenced this issue Aug 4, 2023
@sawanp813
#829 input transforms (#878)
6983a5e 
* rolling z-score model standard + unalign-realign case study

* removing unnecessary transforms

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Co-authored-by: Sawan Patel <sawanpa@deeplearning-01.stat.lsa.umich.edu>
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#829 input transforms prob-ml/bliss
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