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text2image

PyTorch implementation of paper paper Generating Images from Captions with Attention by Elman Mansimov, Emilio Parisotto, Jimmy Ba and Ruslan Salakhutdinov; ICLR 2016.

Getting Started

MNIST with Captions

To train MNIST, run

bash tools/train.sh # AlignDRAW
bash tools/train_clip.sh #clip_AlignDRAW

To test MNIST, run

python src/test.py --train_dir --caption_path --dataset --batch_size --model_type

Examples are in tools/test.sh

COCO with Captions

Download the following to text2image/data/

wget http://www.cs.toronto.edu/~emansim/datasets/text2image/train-images-32x32.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/train-images-56x56.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/train-captions.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/train-captions-len.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/train-cap2im.pkl
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/dev-images-32x32.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/dev-images-56x56.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/dev-captions.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/dev-captions-len.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/dev-cap2im.pkl
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/test-images-32x32.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/test-captions.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/test-captions-len.npy
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/test-cap2im.pkl
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/gan.hdf5
wget http://www.cs.toronto.edu/~emansim/datasets/text2image/dictionary.pkl

To train COCO, run

bash tools/train.sh # AlignDRAW
bash tools/train_clip.sh #clip_AlignDRAW

To validate COCO, run

python src/test.py --train_dir --dataset --batch_size --model_type --name

To test COCO on any captions, provide a file of captions like tools/captions_mnist.txt and run

python src/test.py --mode test --train_dir --caption_path --dataset --batch_size --model_type --name

Make sure that all captions in the file have the same length. Some examples are in tools/test.sh

Reference

https://github.com/mansimov/text2image

https://github.com/Natsu6767/Generating-Devanagari-Using-DRAW/blob/master/draw_model.py