ITEP-83296 Filter camera detection categories in visual analytics pipeline

[tdorauintc]

📝 Description

The PR introduces capability for the user to filter detected objects by specific detection categories in visual analytics pipeline.
It allows to use multi-class detector models like e.g. pedestrian-vehicle or universal ones (YOLO) with SceneScape to detect only a specific categories of objects e.g. person and not all categories supported in the model.

The set of labels to be filtered is configured as an optional parameter to Python adapter in DLStreamer-Pipeline-Server (DLSPS) in DLSPS JSON configuration file.

✨ Type of Change

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• 🐞 Bug fix – Non-breaking change which fixes an issue
• 🚀 New feature – Non-breaking change which adds functionality
• 🔨 Refactor – Non-breaking change which refactors the code base
• 💥 Breaking change – Changes that break existing functionality
• 📚 Documentation update
• 🔒 Security update
• 🧪 Tests
• 🚂 CI

🧪 Testing Scenarios

Describe how the changes were tested and how reviewers can test them too:

• ✅ Tested manually
• 🤖 Ran automated end-to-end tests

✅ Checklist

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• 🔍 PR title is clear and descriptive
• 📝 For internal contributors: If applicable, include the JIRA ticket number (e.g., ITEP-123456) in the PR title. Do not include full URLs
• 💬 I have commented my code, especially in hard-to-understand areas
• 📄 I have made corresponding changes to the documentation
• ✅ I have added tests that prove my fix is effective or my feature works