feat: implement age-classification pipeline for loss-prevention

[seanohair22]

PR Checklist

• [x] Added label to the Pull Request for easier discoverability and search
• [x] Commit Message meets guidelines as indicated in the URL https://github.com/intel-retail/loss-prevention/blob/main/CONTRIBUTING.md
• [x] Every commit is a single defect fix and does not mix feature addition or changes
• [ ] Unit Tests have been added for new changes
• [ ] Updated Documentation as relevant to the changes
• [ ] All commented code has been removed
• [x] If you've added a dependency, you've ensured license is compatible with repository license and clearly outlined the added dependency.
• [ ] PR change contains code related to security
• [ ] PR introduces changes that breaks compatibility with other modules (If YES, please provide details below)

What are you changing?

Issue this PR will close

close: #issue_number

Anything the reviewer should know when reviewing this PR?

Test Instructions if applicable

• Run make update-submodules to get the latest version of the performance-tools repo
• Change the video in the camera-simulator to the group-of-friends-smiling-3248275-1920-15-bench
• Run make PIPELINE_SCRIPT=age_recognition.sh run-demo to view the results.

If the there are associated PRs in other repositories, please link them here (i.e. intel-retail/loss-prevention )

Performance Tools PR with new source file