requirements.txt

# openvino and its dependencies
openvino-dev==2022.3.0
openvino-telemetry==2022.3.0
nncf==2.4.0


# deep learning frameworks
onnx>=1.11.0,<=1.12.0

tensorflow-macos>=2.5,<=2.9.3; sys_platform == 'darwin' and platform_machine == 'arm64' # macOS M1 and M2
tensorflow>=2.5,<=2.9.3; sys_platform == 'darwin' and platform_machine != 'arm64' # macOS x86
tensorflow>=2.5,<=2.9.3; sys_platform == 'linux' or platform_system == 'Windows'
tensorflow-datasets==4.2.0

--find-links https://download.pytorch.org/whl/torch_stable.html
torch==1.13.1; sys_platform == 'darwin'
torch==1.13.1+cpu; sys_platform == 'linux' or platform_system == 'Windows'
torchvision==0.14.1; sys_platform == 'darwin'
torchvision==0.14.1+cpu; sys_platform == 'linux' or platform_system == 'Windows'
torchmetrics>=0.11.0
pytorch-lightning

paddlepaddle>=2.4.0
paddle2onnx>=0.6
paddlenlp>=2.0.8 # workaround for "cannot import name '_C_ops'" error with paddlehub

transformers>=4.21.1
monai>=0.9.1,<1.0.0


# jupyter
jupyterlab
ipywidgets
ipykernel>=5.*
ipython>=7.16.3


# others
numpy>=1.21.0
opencv-python
Pillow>=8.3.2
matplotlib>=3.4,<3.5.3
scipy
pytube>=12.1.0
librosa>=0.8.1
shapely>=1.7.1
pyclipper>=1.2.1
psutil
gdown

# The packages below are not directly required. They are dependencies of 
# other dependencies that are pinned to a specific version to avoid
# compatibility issues or vulnerabilities
seaborn>=0.11.0
scikit-image>=0.19.2
jedi>=0.17.2
setuptools>=56.0.0
pygments>=2.7.4 # not directly required, pinned by Snyk to avoid a vulnerability
rsa>=4.7 # not directly required, pinned by Snyk to avoid a vulnerability