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Commit a2f370d4 authored by Paul Wawerek-López's avatar Paul Wawerek-López
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Merge branch 'paul' into 'main'

update README

See merge request !3
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1 merge request!3update README
......@@ -48,7 +48,7 @@ python ./generate_and_save_healpix_oslo_struct.py -o ../oslo_data/neighbor_struc
* `[-o|--out-dir]`: Directory to save structures.
* `[-hr|--healpix-res]`: Resolution of HEALPix sampling.
* `[-pr|--patch-res]`: Resolution of the HEALPix patches.
* `[-nh|--num-hops]`: Neighborhood size (n-hop neighborhood). Default is 1. If >1, use `[-gd|--grid-dir]` to define the directory path containing grid files (can also be used to speed up neighborhood calculation for 1-hop neighborhoods).
* `[-nh|--num-hops]`: Neighborhood size (n-hop neighborhood). Default is 1. If >1, use `[-gd|--grid-dir]` to define the directory path containing grid files.
**Note**: In our paper we used the following values for the pair `(-hr, -pr)`: `{(10, 8), (9, 7), (8, 6), (7, 5), (6, 4), (5, 3), (4, 2)}`. For the fist element in the set, i.e., `(10, 8)`, `hr=10` determines the input resolution of HEALPix images which is equivalent to $N_\mathrm{pix}=12\cdot 4^{10}=12,582,912$ pixels (a resolution almost equal to 4K for 2D equirectangular images), and `pr=8`determines the patch resolution of $2^8\times 2^8=256\times 256$ as it is suggested in [[Ballé2017]](#balle2017). The remaining pairs in the set refer to downsampled healpix resolution and their corresponding patch size used in auto-encoder architectures explained in [[Ballé2017]](#balle2017), [[Ballé2018]](#balle2018). So, to construct the rest we do:
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