# # This file is autogenerated by pip-compile with Python 3.9 # by the following command: # # pip-compile --output-file=requirements.txt requirements.in # #--index-url https://mirrors.aliyun.com/pypi/simple #--extra-index-url https://pypi.tuna.tsinghua.edu.cn/simple #--extra-index-url https://pypi.org/simple aiohttp==3.9.3 # via # datasets # fsspec aiosignal==1.3.1 # via aiohttp appdirs==1.4.4 # via wandb async-timeout==4.0.3 # via aiohttp attrs==23.2.0 # via aiohttp certifi==2024.2.2 # via # requests # sentry-sdk charset-normalizer==3.3.2 # via requests click==8.1.7 # via # -r requirements.in # cnocr # cnstd # wandb cnocr[ort-cpu]==2.3.0.2 # via # -r requirements.in # cnocr cnstd==1.2.4.1 # via # -r requirements.in # cnocr coloredlogs==15.0.1 # via # onnxruntime # optimum contourpy==1.2.0 # via matplotlib cycler==0.12.1 # via matplotlib datasets==2.17.0 # via # evaluate # optimum dill==0.3.8 # via # datasets # evaluate # multiprocess docker-pycreds==0.4.0 # via wandb easyocr==1.7.1 # via -r requirements.in evaluate==0.4.1 # via optimum filelock==3.13.1 # via # datasets # huggingface-hub # torch # transformers flatbuffers==23.5.26 # via onnxruntime fonttools==4.49.0 # via matplotlib frozenlist==1.4.1 # via # aiohttp # aiosignal fsspec[http]==2023.10.0 # via # datasets # evaluate # huggingface-hub # pytorch-lightning # torch gitdb==4.0.11 # via gitpython gitpython==3.1.42 # via wandb huggingface-hub==0.20.3 # via # cnstd # datasets # evaluate # optimum # tokenizers # transformers humanfriendly==10.0 # via coloredlogs idna==3.6 # via # requests # yarl imageio==2.34.0 # via scikit-image importlib-resources==6.1.1 # via matplotlib jinja2==3.0.3 # via torch kiwisolver==1.4.5 # via matplotlib lazy-loader==0.3 # via scikit-image lightning-utilities==0.10.1 # via # pytorch-lightning # torchmetrics markupsafe==2.1.5 # via jinja2 matplotlib==3.8.3 # via # cnstd # seaborn mpmath==1.3.0 # via sympy multidict==6.0.5 # via # aiohttp # yarl multiprocess==0.70.16 # via # datasets # evaluate networkx==3.2.1 # via # scikit-image # torch ninja==1.11.1.1 # via easyocr numpy==1.26.4 # via # -r requirements.in # cnocr # cnstd # contourpy # datasets # easyocr # evaluate # imageio # matplotlib # onnx # onnxruntime # opencv-python # opencv-python-headless # optimum # pandas # pyarrow # pytorch-lightning # scikit-image # scipy # seaborn # shapely # tifffile # torchmetrics # torchvision # transformers onnx==1.15.0 # via # cnocr # cnstd # optimum onnxruntime==1.17.0 # via # cnocr # optimum opencv-python==4.9.0.80 # via # -r requirements.in # cnstd opencv-python-headless==4.9.0.80 # via easyocr optimum[onnxruntime]==1.16.2 # via -r requirements.in packaging==23.2 # via # datasets # evaluate # huggingface-hub # lightning-utilities # matplotlib # onnxruntime # optimum # pytorch-lightning # scikit-image # torchmetrics # transformers pandas==2.2.0 # via # cnstd # datasets # evaluate # seaborn pillow==10.2.0 # via # -r requirements.in # cnocr # cnstd # easyocr # imageio # matplotlib # scikit-image # torchvision polygon3==3.0.9.1 # via cnstd protobuf==4.25.3 # via # onnx # onnxruntime # optimum # transformers # wandb psutil==5.9.8 # via wandb pyarrow==15.0.0 # via datasets pyarrow-hotfix==0.6 # via datasets pyclipper==1.3.0.post5 # via # cnstd # easyocr pymupdf==1.24.1 # via -r requirements.in pymupdfb==1.24.1 # via pymupdf pyparsing==3.1.1 # via matplotlib pyspellchecker==0.8.1 # via -r requirements.in python-bidi==0.4.2 # via easyocr python-dateutil==2.8.2 # via # matplotlib # pandas pytorch-lightning==2.2.0.post0 # via # cnocr # cnstd pytz==2024.1 # via pandas pyyaml==6.0.1 # via # cnstd # datasets # easyocr # huggingface-hub # pytorch-lightning # transformers # wandb regex==2023.12.25 # via transformers requests==2.31.0 # via # datasets # evaluate # fsspec # huggingface-hub # responses # torchvision # transformers # wandb responses==0.18.0 # via evaluate safetensors==0.4.2 # via transformers scikit-image==0.22.0 # via easyocr scipy==1.12.0 # via # cnstd # easyocr # scikit-image seaborn==0.13.2 # via cnstd sentencepiece==0.1.99 # via transformers sentry-sdk==1.40.4 # via wandb setproctitle==1.3.3 # via wandb shapely==2.0.2 # via # cnstd # easyocr six==1.16.0 # via # docker-pycreds # python-bidi # python-dateutil smmap==5.0.1 # via gitdb sympy==1.12 # via # onnxruntime # optimum # torch tifffile==2024.2.12 # via scikit-image tokenizers==0.15.2 # via transformers torch==2.2.0 # via # -r requirements.in # cnocr # cnstd # easyocr # optimum # pytorch-lightning # torchmetrics # torchvision torchmetrics==1.3.1 # via # cnocr # pytorch-lightning torchvision==0.17.0 # via # -r requirements.in # cnocr # cnstd # easyocr tqdm==4.66.2 # via # -r requirements.in # cnocr # cnstd # datasets # evaluate # huggingface-hub # pytorch-lightning # transformers transformers[sentencepiece]==4.37.2 # via # -r requirements.in # optimum typing-extensions==4.9.0 # via # huggingface-hub # lightning-utilities # pytorch-lightning # torch # wandb tzdata==2024.1 # via pandas unidecode==1.3.8 # via cnstd urllib3==2.2.0 # via # requests # responses # sentry-sdk wandb==0.16.3 # via cnocr xxhash==3.4.1 # via # datasets # evaluate yarl==1.9.4 # via aiohttp zipp==3.17.0 # via importlib-resources doclayout-yolo<0.1 litellm<2.0 # The following packages are considered to be unsafe in a requirements file: # setuptools # for mkdocs pygments==2.11 jinja2<3.1.0 mkdocs==1.2.2 mkdocs-macros-plugin==0.6.0 mkdocs-material==7.3.0 mkdocs-material-extensions==1.0.3 mkdocstrings==0.16.1