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Handwriting Generation

Implementation of the handwriting generation experiments in the paper Generating Sequences with Recurrent Neural Networks by Alex Graves. The implementation closely follows the original paper, with a few slight deviations, and the generated samples are of similar quality to those presented in the paper.

Pre-requisites

Download the checkpoint content from this link Put the contents of the above downloaded folder into checkpoints folder. The software requirements are listed in the requirements.txt file.

Usage

Create a 'logs' folder before running, files are saved as usage_demo in img folder. Further instructions to run are in run.py

python run.py

A pretrained model is included, for training your own model:

Model Training Instructions

In order to train a model, data must be downloaded and placed in this directory.

Follow the download instructions here http://www.fki.inf.unibe.ch/databases/iam-on-line-handwriting-database.

Only a subset of the downloaded data is required. Move the relevant download data so the directory structure is as folllows:

data/
├── raw/
│   ├── ascii/
│   ├── lineStrokes/
│   ├── original/
|   blacklist.npy

Once this is completed, run prepare_data.py extract the data and dump it to numpy files.

To train the model, run rnn.py. This takes a couple days on a single Tesla K80.

Contributors

Paras Rawat

Your Name Here (Insert Your Image Link In Src

Siddharth Sudhakar

Your Name Here (Insert Your Image Link In Src

License

License

Made with ❤️ by DS Community SRM

handwriting-generation's People

Contributors

dependabot[bot] avatar jagnani73 avatar siddharth271101 avatar triztex avatar

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