requirements.txt

#
# 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

aiohappyeyeballs==2.4.3
    # via aiohttp
aiohttp==3.11.8
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.1
    # via aiohttp
albumentations==1.3.1
    # via -r requirements.in
async-timeout==5.0.1
    # via aiohttp
attrs==24.2.0
    # via aiohttp
certifi==2024.8.30
    # via
    #   requests
    #   sentry-sdk
charset-normalizer==3.4.0
    # via requests
click==8.1.7
    # via
    #   -r requirements.in
    #   cnstd
    #   wandb
cnstd==1.2.5.1
    # via -r requirements.in
coloredlogs==15.0.1
    # via onnxruntime
contourpy==1.3.0
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets[vision]==3.1.0
    # via -r requirements.in
dill==0.3.8
    # via
    #   datasets
    #   multiprocess
docker-pycreds==0.4.0
    # via wandb
filelock==3.16.1
    # via
    #   datasets
    #   huggingface-hub
    #   torch
flatbuffers==24.3.25
    # via onnxruntime
fonttools==4.55.0
    # via matplotlib
frozenlist==1.5.0
    # via
    #   aiohttp
    #   aiosignal
fsspec[http]==2024.9.0
    # via
    #   datasets
    #   huggingface-hub
    #   pytorch-lightning
    #   torch
gitdb==4.0.11
    # via gitpython
gitpython==3.1.43
    # via wandb
huggingface-hub==0.26.3
    # via
    #   cnstd
    #   datasets
humanfriendly==10.0
    # via coloredlogs
idna==3.10
    # via
    #   requests
    #   yarl
imageio==2.36.1
    # via scikit-image
importlib-resources==6.4.5
    # via matplotlib
jinja2==3.1.4
    # via torch
joblib==1.4.2
    # via scikit-learn
kiwisolver==1.4.7
    # via matplotlib
lazy-loader==0.4
    # via scikit-image
lightning-utilities==0.11.9
    # via
    #   pytorch-lightning
    #   torchmetrics
markupsafe==3.0.2
    # via jinja2
matplotlib==3.9.3
    # via
    #   cnstd
    #   seaborn
    #   ultralytics
mpmath==1.3.0
    # via sympy
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via datasets
networkx==3.2.1
    # via
    #   scikit-image
    #   torch
numpy==1.26.4
    # via
    #   -r requirements.in
    #   albumentations
    #   cnstd
    #   contourpy
    #   datasets
    #   imageio
    #   matplotlib
    #   onnx
    #   onnxruntime
    #   opencv-python
    #   opencv-python-headless
    #   pandas
    #   qudida
    #   rapidocr-onnxruntime
    #   scikit-image
    #   scikit-learn
    #   scipy
    #   seaborn
    #   shapely
    #   tifffile
    #   torchmetrics
    #   torchvision
    #   ultralytics
    #   ultralytics-thop
onnx==1.17.0
    # via
    #   -r requirements.in
    #   cnstd
onnxruntime==1.19.2
    # via
    #   -r requirements.in
    #   rapidocr-onnxruntime
opencv-python==4.10.0.84
    # via
    #   cnstd
    #   rapidocr-onnxruntime
    #   ultralytics
opencv-python-headless==4.10.0.84
    # via
    #   albumentations
    #   qudida
packaging==24.2
    # via
    #   datasets
    #   huggingface-hub
    #   lazy-loader
    #   lightning-utilities
    #   matplotlib
    #   onnxruntime
    #   pytorch-lightning
    #   scikit-image
    #   torchmetrics
pandas==2.2.3
    # via
    #   cnstd
    #   datasets
    #   seaborn
    #   ultralytics
pillow==11.0.0
    # via
    #   -r requirements.in
    #   cnstd
    #   datasets
    #   imageio
    #   matplotlib
    #   rapidocr-onnxruntime
    #   scikit-image
    #   torchvision
    #   ultralytics
platformdirs==4.3.6
    # via wandb
propcache==0.2.0
    # via
    #   aiohttp
    #   yarl
protobuf==5.29.0
    # via
    #   onnx
    #   onnxruntime
    #   wandb
psutil==6.1.0
    # via
    #   ultralytics
    #   wandb
py-cpuinfo==9.0.0
    # via ultralytics
pyarrow==18.1.0
    # via datasets
pyclipper==1.3.0.post6
    # via
    #   cnstd
    #   rapidocr-onnxruntime
pyparsing==3.2.0
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
pytorch-lightning==2.4.0
    # via
    #   -r requirements.in
    #   cnstd
pytz==2024.2
    # via pandas
pyyaml==6.0.2
    # via
    #   albumentations
    #   cnstd
    #   datasets
    #   huggingface-hub
    #   pytorch-lightning
    #   rapidocr-onnxruntime
    #   ultralytics
    #   wandb
qudida==0.0.4
    # via albumentations
rapidocr-onnxruntime==1.3.25
    # via
    #   -r requirements.in
    #   cnstd
requests==2.32.3
    # via
    #   datasets
    #   huggingface-hub
    #   ultralytics
    #   wandb
scikit-image==0.24.0
    # via albumentations
scikit-learn==1.5.2
    # via qudida
scipy==1.13.1
    # via
    #   albumentations
    #   cnstd
    #   scikit-image
    #   scikit-learn
    #   ultralytics
seaborn==0.13.2
    # via
    #   cnstd
    #   ultralytics
sentry-sdk==2.19.0
    # via wandb
setproctitle==1.3.4
    # via wandb
shapely==2.0.6
    # via
    #   cnstd
    #   rapidocr-onnxruntime
six==1.16.0
    # via
    #   docker-pycreds
    #   python-dateutil
    #   rapidocr-onnxruntime
smmap==5.0.1
    # via gitdb
sympy==1.13.1
    # via
    #   onnxruntime
    #   torch
threadpoolctl==3.5.0
    # via scikit-learn
tifffile==2024.8.30
    # via scikit-image
torch==2.5.1
    # via
    #   -r requirements.in
    #   cnstd
    #   pytorch-lightning
    #   torchmetrics
    #   torchvision
    #   ultralytics
    #   ultralytics-thop
torchmetrics==1.6.0
    # via
    #   -r requirements.in
    #   pytorch-lightning
torchvision==0.20.1
    # via
    #   -r requirements.in
    #   cnstd
    #   ultralytics
tqdm==4.67.1
    # via
    #   -r requirements.in
    #   cnstd
    #   datasets
    #   huggingface-hub
    #   pytorch-lightning
    #   rapidocr-onnxruntime
    #   ultralytics
typing-extensions==4.12.2
    # via
    #   huggingface-hub
    #   lightning-utilities
    #   multidict
    #   pytorch-lightning
    #   qudida
    #   torch
    #   wandb
tzdata==2024.2
    # via pandas
ultralytics==8.3.39
    # via cnstd
ultralytics-thop==2.0.12
    # via ultralytics
unidecode==1.3.8
    # via cnstd
urllib3==2.2.3
    # via
    #   requests
    #   sentry-sdk
wandb==0.18.7
    # via -r requirements.in
xxhash==3.5.0
    # via datasets
yarl==1.18.0
    # via aiohttp
zipp==3.21.0
    # via importlib-resources

# The following packages are considered to be unsafe in a requirements file:
# setuptools