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How to preprocess char-CNN-RNN or skip-thought text embeddings for birds and flowers #37

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SpadesQ opened this issue Jan 18, 2018 · 5 comments

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@SpadesQ
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SpadesQ commented Jan 18, 2018

No description provided.

@Lotayou
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Lotayou commented Jan 21, 2018

I've been struggling with this too. The original char-CNN-RNN text encoder is implemented in Torch so I guess transporting it to TensorFlow could be tough. However, it's straightforward to load a Torch model in PyTorch with load_lua() function.

Personally, I suggest you use the PyTorch version. The TensorFlow version is crap AFAIC.

@SpadesQ
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SpadesQ commented Mar 13, 2018

@Lotayou how to get skip-thought-embeddings.pickle

@rchavezj
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Is there any dataset other than birds and flowers?

@pranman11
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@rchavezj Any luck on the datasets other than those?

@liwen-tj
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liwen-tj commented Apr 8, 2019

Anyone find text description of Oxford-102 flower dataset? I download dataset from http://www.robots.ox.ac.uk/~vgg/data/flowers/102/. But failed to find any text info...

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