[Snyk] Fix for 4 vulnerabilities

[q1blue]

Snyk has created this PR to fix 4 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, aims to enhance the security posture of the project by resolving four identified vulnerabilities within its Python dependencies. It achieves this by updating specific package versions in the requirements.txt file, ensuring the project utilizes more secure versions of torch and wheel.

Highlights

• Dependency Updates: The torch dependency has been updated to version 2.10.0 and the wheel dependency to 0.46.2 in examples/YOLOv8-Action-Recognition/requirements.txt.
• Vulnerability Fixes: This pull request addresses 4 identified vulnerabilities in the project's pip dependencies, as detected and automatically fixed by Snyk.

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[gemini-code-assist]

Code Review

This pull request from Snyk addresses security vulnerabilities by upgrading torch and wheel versions in requirements.txt. The changes are correct and improve security. However, I've identified an opportunity to improve the robustness of your project's dependencies. The requirements.txt file appears to be incomplete, which can lead to inconsistent environments. The Snyk PR description itself highlights some of these issues (missing scipy, safetensors, and an incorrect numpy version). I've added a review comment suggesting the inclusion of these, along with opencv-python which is used in the code but was not listed as a dependency. This will help ensure your project builds and runs reliably.

[gemini-code-assist]

While pinning torch and wheel is good for security, this requirements.txt file is incomplete and can lead to non-reproducible environments. The warning in the Snyk PR description points out missing dependencies (scipy, safetensors) and an outdated one (numpy). Additionally, action_recognition.py imports cv2 (from opencv-python), which is also missing.

To make the dependencies explicit and the environment more stable, I recommend adding these missing dependencies and pinning numpy to a known working version found in the project's Dockerfile. This will make your dependency set more robust.

torch>=2.10.0
wheel>=0.46.2

# Add missing dependencies for a reproducible environment
numpy==1.23.5
scipy
safetensors
opencv-python