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| [tool.poetry] | |
| name = "unimernet" | |
| version = "0.2.3" | |
| description = 'UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition' | |
| authors = ["Bin Wang <ictwangbin@gmail.com>"] | |
| readme = "README.md" | |
| license = "Apache License 2.0" | |
| repository = "https://github.com/opendatalab/UniMERNet" | |
| keywords = ["MER", "latex", "markdown", "pdf"] | |
| include = [ | |
| "train.py", | |
| "test.py", | |
| "demo.py", | |
| "unimernet_app.py", | |
| "run_unimernet_app.py", | |
| ] | |
| [tool.poetry.dependencies] | |
| python = ">=3.10" | |
| torch = ">=2.2.2" | |
| torchvision = ">=0.17.2" | |
| omegaconf = "^2.3.0" | |
| matplotlib = "^3.8.4" | |
| iopath = "^0.1.9" | |
| timm = "^0.9.16" | |
| opencv-python = "^4.6.0" | |
| transformers = "4.42.4" | |
| fairscale = "^0.4.13" | |
| # ftfy = "^6.2.0" | |
| ftfy = {version = "^6.2.0", python = ">=3.10,<4.0"} | |
| albumentations = "^1.4.4" | |
| wand = "^0.6.13" | |
| webdataset = "^0.2.86" | |
| rapidfuzz = "^3.8.1" | |
| termcolor = "^2.4.0" | |
| pandas = "^2.2.2" | |
| evaluate = "^0.4.1" | |
| rich = "^13.7.1" | |
| jupyterlab = "^4.1.6" | |
| tabulate = "^0.9.0" | |
| nltk = "^3.8.1" | |
| streamlit = "^1.33.0" | |
| pypdfium2 = "^4.29.0" | |
| pdf2image = "^1.17.0" | |
| streamlit_drawable_canvas = "^0.9.3" | |
| [tool.poetry.extras] | |
| full = [ | |
| "termcolor", | |
| "pandas", | |
| "rich", | |
| "jupyterlab", | |
| "tabulate", | |
| "nltk", | |
| "streamlit", | |
| "pypdfium2", | |
| "pdf2image", | |
| "streamlit_drawable_canvas" | |
| ] | |
| [tool.poetry.scripts] | |
| unimernet = "demo:main" | |
| unimernet_gui = "run_unimernet_app:run_app" | |
| unimernet_eval = "test:main" | |
| [build-system] | |
| requires = ["poetry-core"] | |
| build-backend = "poetry.core.masonry.api" | |