[Snyk] Fix for 3 vulnerabilities

[nn6n]

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

Snyk changed the following file(s):

• examples/count_people_in_zone/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.
gdown 4.7.3 requires filelock, which is not installed.

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• 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 @nn6n, 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 three identified vulnerabilities within its Python dependencies. It achieves this by upgrading filelock, torch, and urllib3 to their respective secure versions, ensuring the application uses patched libraries and improving overall dependency security.

Highlights

• Vulnerability Fixes: This pull request addresses three identified security vulnerabilities in the project's pip dependencies, specifically related to filelock, torch, and urllib3.
• Dependency Upgrades: To mitigate the vulnerabilities, the filelock package has been upgraded to version 3.20.3, torch to 2.9.0, and urllib3 to 2.6.3. These packages were explicitly pinned in the requirements.txt file.
• Automated Remediation: The pull request was automatically generated by Snyk, a security scanning tool, to provide an immediate and automated fix for the detected vulnerabilities.

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[gemini-code-assist]

Code Review

This PR, automatically generated by Snyk, updates several dependencies (filelock, torch, urllib3) to fix security vulnerabilities. While these updates are beneficial, the Snyk analysis in the PR description also reveals critical issues in the project's dependencies that are not addressed by this PR. Specifically, scipy is a missing dependency for ultralytics, and the installed numpy version is incompatible with both ultralytics and inference. I've added a critical comment with a suggestion to explicitly add numpy and scipy to requirements.txt with compatible versions. Applying this suggestion is highly recommended to prevent build or runtime failures.

[gemini-code-assist]

While these dependency updates from Snyk are good for security, the Snyk report in the PR description highlights critical dependency issues that are not addressed. The environment will likely fail to build or run correctly.

Specifically:

• ultralytics requires scipy, which is missing.
• ultralytics requires numpy>=1.22.2 and inference requires numpy>=1.23.2, but the installed version is 1.21.3.

To ensure the project's dependencies are correctly resolved and functional, I recommend explicitly adding numpy and scipy to this file with compatible versions. This will make your dependency set more robust and prevent runtime errors.

filelock>=3.20.3 # not directly required, pinned by Snyk to avoid a vulnerability
torch>=2.9.0 # not directly required, pinned by Snyk to avoid a vulnerability
urllib3>=2.6.3 # not directly required, pinned by Snyk to avoid a vulnerability
numpy>=1.23.2 # required by ultralytics and inference
scipy # required by ultralytics