An attempt to implement the random handwriting generation portion of Alex Graves' paper.
See my blog post at blog.otoro.net for more information.
I tested the implementation on TensorFlow r0.11 and Pyton 3. I also used the following libraries to help:
svgwrite
IPython.display.SVG
IPython.display.display
xml.etree.ElementTree
argparse
pickle
You will need permission from these wonderful people people to get the IAM On-Line Handwriting data. Unzip lineStrokes-all.tar.gz into the data subdirectory, so that you end up with data/lineStrokes/a01, data/lineStrokes/a02, etc. Afterwards, running python train.py will start the training process.
A number of flags can be set for training if you wish to experiment with the parameters. The default values are in train.py
--rnn_size RNN_SIZE size of RNN hidden state
--num_layers NUM_LAYERS number of layers in the RNN
--model MODEL rnn, gru, or lstm
--batch_size BATCH_SIZE minibatch size
--seq_length SEQ_LENGTH RNN sequence length
--num_epochs NUM_EPOCHS number of epochs
--save_every SAVE_EVERY save frequency
--grad_clip GRAD_CLIP clip gradients at this value
--learning_rate LEARNING_RATE learning rate
--decay_rate DECAY_RATE decay rate for rmsprop
--num_mixture NUM_MIXTURE number of gaussian mixtures
--data_scale DATA_SCALE factor to scale raw data down by
--keep_prob KEEP_PROB dropout keep probability
I've included a pretrained model in /save so it should work out of the box. Running python sample.py --filename example_name --sample_length 1000 will generate 4 .svg files for each example, with 1000 points.
If you wish to experiment with this code interactively, just run %run -i sample.py in an IPython console, and then the following code is an example on how to generate samples and show them inside IPython.
[strokes, params] = model.sample(sess, 800)
draw_strokes(strokes, factor=8, svg_filename = 'sample.normal.svg')
draw_strokes_random_color(strokes, factor=8, svg_filename = 'sample.color.svg')
draw_strokes_random_color(strokes, factor=8, per_stroke_mode = False, svg_filename = 'sample.multi_color.svg')
draw_strokes_eos_weighted(strokes, params, factor=8, svg_filename = 'sample.eos.svg')
draw_strokes_pdf(strokes, params, factor=8, svg_filename = 'sample.pdf.svg')
example1a example1b example1c example1d example1e
Have fun-
MIT