[Snyk] Security upgrade torch from 1.13.1 to 2.10.0

[q1blue]

Snyk has created this PR to fix 1 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 has requirement numpy>=1.22.2, but you have numpy 1.21.3.
transformers 4.30.2 requires safetensors, which is not installed.

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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 improving the project's security by upgrading the torch dependency. The update to version 2.10.0 specifically targets and resolves a known vulnerability, ensuring the project utilizes a more secure and stable foundation for its machine learning components.

Highlights

• Security Upgrade: Automatically upgrades the torch dependency to address a security vulnerability.
• Dependency Version Update: Updates torch from version 1.13.1 to 2.10.0.
• File Modified: The change is applied within examples/YOLOv8-Action-Recognition/requirements.txt.
• Snyk Pinning: torch is pinned to the new version by Snyk, even though it's not a direct requirement, to avoid a vulnerability.

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[gemini-code-assist]

Code Review

The pull request updates the torch dependency from version 1.13.1 to 2.10.0 to address a security vulnerability. This is a significant version upgrade. While crucial for security, it's important to thoroughly test the application to ensure full compatibility with other dependencies, such as ultralytics and transformers, which already show dependency warnings (e.g., numpy version mismatch, missing scipy, safetensors) as noted in the PR description. A major torch upgrade could potentially expose or exacerbate these existing dependency issues.

[gemini-code-assist]

The comment # not directly required appears to be inaccurate. The action_recognition.py file directly imports torch on line 11, indicating it is a direct dependency of the project. Please update the comment to reflect this or clarify its meaning.

torch>=2.10.0 # pinned by Snyk to avoid a vulnerability