Deep Learning Project with 2 neural networks, CNN-1D-LSTM-ctc/CNN-2D-LSTM-ctc, for handwritten text recognition.
MD-LSTM Implementation is from https://github.com/philipperemy/tensorflow-multi-dimensional-lstm.
The dataloader is from https://github.com/githubharald/SimpleHTR.
Data used for training is the IAM-Words database.
This project is done as part of my studies.
├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── README.md <- The top-level README for developers using this project.
│
├── docs <- A default Sphinx project; see sphinx-doc.org for details
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├── model <- Trained and serialized models, model predictions, or model summaries
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├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
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├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
├── src <- Source code for use in this project.
│
└── tox.ini <- tox file with settings for running tox; see tox.testrun.org
Project based on the cookiecutter data science project template. #cookiecutterdatascience