[tool.poetry] name = "text-recognizer" version = "0.1.0" authors = ["aktersnurra "] description = "A text recognizer using best pratices in python and deep learning." license = "MIT" readme = "README.md" homepage = "https://github.com/aktersnurra/text-recognizer" repository = "https://github.com/aktersnurra/text-recognizer" keywords = ["text recognizer, deep learning, pytorch"] [tool.poetry.dependencies] python = "^3.8" click = "^7.1.2" flake8-annotations = "^2.1.0" flake8-docstrings = "^1.5.0" darglint = "^1.3.1" desert = "^2020.1.6" marshmallow = "^3.6.0" sphinx-autodoc-typehints = "^1.10.3" sphinx_rtd_theme = "^0.4.3" boltons = "^20.1.0" h5py = "^3.2.1" toml = "^0.10.1" torch = "^1.7.0" torchvision = "^0.8.1" loguru = "^0.5.0" matplotlib = "^3.2.1" tqdm = "^4.46.1" pytest = "^5.4.3" opencv-python = "^4.3.0" nltk = "^3.5" torch-summary = "^1.4.2" python-Levenshtein = "^0.12.0" defusedxml = "^0.6.0" pytorch-metric-learning = "^0.9.92" omegaconf = "^2.0.2" jupyterthemes = "^0.20.0" wandb = "^0.10.12" einops = "^0.3.0" gtn = "^0.0.0" sentencepiece = "^0.1.95" pytorch-lightning = "^1.2.4" [tool.poetry.dev-dependencies] pytest = "^5.4.2" coverage = {extras = ["toml"], version = "^5.1"} pytest-cov = "^2.9.0" pytest-mock = "^3.1.0" black = "^19.10b0" flake8 = "^3.8.2" flake8-bandit = "^2.1.2" flake8-black = "^0.2.0" flake8-bugbear = "^20.1.4" flake8-import-order = "^0.18.1" safety = "^1.9.0" mypy = "^0.770" pytype = {version = "^2020.5.13", python = "3.7"} typeguard = "^2.7.1" xdoctest = "^0.12.0" sphinx = "^3.0.4" jupyter = "^1.0.0" gpustat = "^0.6.0" redlock-py = "^1.0.8" wandb = "^0.10.11" graphviz = "^0.16" [tool.coverage.report] fail_under = 50 [tool.poetry.scripts] download-emnist = "text_recognizer.datasets.util:download_emnist" download-iam = "text_recognizer.datasets.iam_dataset:main" create-emnist-support-files = "text_recognizer.tests.support.create_emnist_support_files:create_emnist_support_files" create-emnist-lines-datasets = "text_recognizer.datasets.emnist_lines_dataset:create_datasets" create-iam-paragraphs = "text_recognizer.datasets.iam_paragraphs_dataset:main" prepare-experiments = "training.prepare_experiments:run_cli" run-experiment = "training.run_experiment:run_cli" [build-system] requires = ["poetry>=0.12"] build-backend = "poetry.masonry.api"