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Updated Tensorflow version to fix depandabot alert
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model-requirements.txt

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# openvino and its dependencies
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openvino-dev==2022.2.0
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openvino-telemetry==2022.3.0
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nncf==2.4.0
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nncf==2.5.0
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# deep learning frameworks
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onnx>=1.11.0,<=1.12.0
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onnx>=1.11.0
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tensorflow-macos>=2.5,<=2.9.3; sys_platform == 'darwin' and platform_machine == 'arm64' # macOS M1 and M2
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tensorflow>=2.5,<=2.9.3; sys_platform == 'darwin' and platform_machine != 'arm64' # macOS x86
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tensorflow>=2.5,<=2.9.3; sys_platform == 'linux' or platform_system == 'Windows'
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tensorflow-datasets==4.2.0
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# deep learning frameworks
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tensorflow-macos>=2.5,<=2.12; sys_platform == 'darwin' and platform_machine == 'arm64' # macOS M1 and M2
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tensorflow>=2.5,<=2.12; sys_platform == 'darwin' and platform_machine != 'arm64' # macOS x86
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tensorflow>=2.5,<=2.12; sys_platform == 'linux' or platform_system == 'Windows'
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--find-links https://download.pytorch.org/whl/torch_stable.html
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torch==1.13.1; sys_platform == 'darwin'
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torch==1.13.1+cpu; sys_platform == 'linux' or platform_system == 'Windows'
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torchvision==0.14.1; sys_platform == 'darwin'
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torchvision==0.14.1+cpu; sys_platform == 'linux' or platform_system == 'Windows'
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torchmetrics>=0.11.0
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pytorch-lightning
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paddlepaddle>=2.4.0
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paddle2onnx>=0.6
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paddlenlp>=2.0.8 # workaround for "cannot import name '_C_ops'" error with paddlehub
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#paddlepaddle>=2.4.0
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transformers>=4.21.1
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monai>=0.9.1,<1.0.0
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# others
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Pillow>=8.3.2
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matplotlib>=3.4,<3.5.3
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scipy
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pytube>=12.1.0
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librosa>=0.8.1
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shapely>=1.7.1
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pyclipper>=1.2.1
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psutil
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gdown
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# The packages below are not directly required. They are dependencies of
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# other dependencies that are pinned to a specific version to avoid
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# compatibility issues or vulnerabilities
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seaborn>=0.11.0
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scikit-image>=0.19.2
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jedi>=0.17.2
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setuptools>=56.0.0
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pygments>=2.7.4 # not directly required, pinned by Snyk to avoid a vulnerability
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rsa>=4.7 # not directly required, pinned by Snyk to avoid a vulnerability
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