illustration2vec
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A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Hi, first of all, I'd like to thank you for publishing your work! It's highly appreciated. Please consider my PR which solves a TypeError exception when running your code under...
I am trying to run sample code after downloading the models. I have installed all the dependencies, but i always get the error **ImportError: i2v requires caffe or chainer package**....
You should separate $DIR with quotes in 5 row of get_models.sh so it can work when $DIR contains spaces.
I found that every time I estimate the label probability of the same image, the result is different. That is, for the same picture (for example, the picture you provided...
I can run the estimate_plausible_tags function just fine- the model seems to be working, but calling extract_feature or extract_binary_feature returns `KeyError: 'encode1'` looking in to it a little, it seems...
related #15 e: include version fix (2.0.1) which didn't uploaded to pypi yet
Is it possible to compare the VGG model in the paper with other Architectures like Inception, ResNet, NASNet or others? Photos for reference   
When I run the end sentence of the example1, this error occurs, and I don't know how to fix it.
Hello. Is it possible to place checksums for models from [illustration2vec.net](http://illustration2vec.net/) somewhere on the site? The models are up to ~900 Mb, and redownloading them for verification would be a...
This feature is only for python3. It is tested on python 3.6.5 on ubuntu 18.04. ``i2v`` can run a local server by doing the following: - put `illust2vec_tag_ver200.caffemodel` and `tag_list.json`...