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OMNIGLOT Dataset #46

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OMNIGLOT Dataset #46

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149760d
Add Omniglot dataset loader
Jan 25, 2017
206c74e
Add OMNIGLOT documentation
Jan 25, 2017
a2954d2
Add OMNIGLOT documentation
Jan 25, 2017
a6f165a
Add OMNIGLOT documentation
Jan 25, 2017
f1dd5c5
Add OMNIGLOT documentation
Jan 25, 2017
1a82a10
Add OMNIGLOT documentation
Jan 25, 2017
e472eaa
omniglot fixes
Jan 25, 2017
6d4e78f
omniglot fixes
Jan 25, 2017
b0cf267
Omniglot is simplified. Add the FilenameToPILImage transformer
Jan 25, 2017
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Add OMNIGLOT documentation
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Ludovic Denoyer authored and Ludovic Denoyer committed Jan 25, 2017
commit 1a82a107e30145605bd8109e4afe547e69ca9973
3 changes: 3 additions & 0 deletions README.rst
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Expand Up @@ -192,6 +192,9 @@ OMNIGLOT

`dset.OMNIGLOT(root_dir, [transform=None, target_transform=None])`

The dataset is composed of pairs: `(Image,Category idx)`. Each category corresponds to one character in one alphabet. Matching between classes indexes and real classes can be accessed through: `dataset.idx_classes`


From: `Lake, B. M., Salakhutdinov, R., and Tenenbaum, J. B. (2015). Human-level concept learning through probabilistic program induction. Science, 350(6266), 1332-1338.`

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