[Snyk] Security upgrade torch from 1.13.1 to 2.10.0

[q1blue]

Snyk has created this PR to fix 3 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• examples/YOLOv8-Action-Recognition/requirements.txt

⚠️ Warning

ultralytics 8.0.151 requires scipy, which is not installed.
ultralytics 8.0.151 requires numpy, which is not installed.
transformers 4.30.2 requires numpy, which is not installed.
transformers 4.30.2 requires safetensors, which is not installed.
torchvision 0.14.1 requires numpy, which is not installed.
seaborn 0.12.2 requires numpy, which is not installed.
pandas 1.3.5 requires numpy, which is not installed.
opencv-python 4.13.0.90 requires numpy, which is not installed.
matplotlib 3.5.3 requires numpy, which is not installed.

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Important

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• This PR was automatically created by Snyk using the credentials of a real user.
• Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

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[gemini-code-assist]

Summary of Changes

Hello @q1blue, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request, automatically generated by Snyk, focuses on enhancing the security posture of the project by upgrading the torch dependency to a more secure version. It addresses multiple vulnerabilities found in the older version of torch within the YOLOv8-Action-Recognition example's requirements, ensuring the project uses a patched and safer dependency.

Highlights

• Security Upgrade: This pull request was automatically generated by Snyk to address 3 identified security vulnerabilities.
• Dependency Update: The torch package has been upgraded from version 1.13.1 to 2.10.0.
• Affected File: The change is confined to the examples/YOLOv8-Action-Recognition/requirements.txt file.
• Potential Warnings: Snyk has noted that several other packages (ultralytics, transformers, torchvision, seaborn, pandas, opencv-python, matplotlib) might require numpy, scipy, or safetensors, which are not explicitly installed in this requirements.txt.

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[gemini-code-assist]

Code Review

This pull request, automatically generated by Snyk, aims to upgrade the torch package to fix security vulnerabilities. The change involves pinning torch to version >=2.10.0 in examples/YOLOv8-Action-Recognition/requirements.txt. My review found a critical issue with the specified version number. It appears to be a typo and should likely be 2.1.0, as version 2.10.0 for torch does not exist. This would cause dependency installation to fail. I've provided a suggestion to correct this.

[gemini-code-assist]

There appears to be a typo in the torch version. Version 2.10.0 does not exist for torch. The intended version to fix the specified vulnerabilities is likely 2.1.0. The current version specifier will cause dependency installation to fail because pip will not find a matching distribution.

torch>=2.1.0 # not directly required, pinned by Snyk to avoid a vulnerability