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OSLO 360-degree image compression
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On-the-Sphere Learning for Omnidirectional images (OSLO)
OSLO 360-degree image compression
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54bc19467aaa6664bd5e6ad443d981a06bde3c72
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nmahmoud-main-patch-23996
paul
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oslo-ic_paper
oslo_paper
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ref to neighbor_grid dir
paul
paul
Merge branch 'nmahmoud-main-patch-23996' into 'main'
main
main
Merge branch 'main' into 'nmahmoud-main-patch-23996'
nmahmoud-main-p…
nmahmoud-main-patch-23996
Merge branch 'paul' into 'main'
oslo-ic_paper
oslo-ic_paper
update README
Merge branch 'paul' into 'main'
update README
clean up train options
minor changes
patch size option
append mean values to txt
edit desc
no default value
root_dir fix
small Path fix
corr dirname split char
benchmark test script (adapted from CompressAI)
mSH option without ReLU at hyperprior output
don't save test results if all test imgs were skipped
resumable testing, rates.txt saved after batch
del checkerboard option
gitignore edit
rm todos
fix: meanScaleHyperprior with SDPAConvTranspose
ar_hops default val 1
optional temp_dir for cluster
Plots inside jupyter notebook
added n-hop neighborhood from HEALPix grid
option for saving color valtest images
unpool options in description
weight transfer: mean_in_channels
fix key_err
Merge branch 'context_model' into paul
take N,M from pretrained models
optional StelLR scheduler
separate best checkpoints
Merge branch 'paul' into context_model
Merge branch 'paul' into weight_transfer
store patch res 0
single conv for weight transfer
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