v2.2.0 RAM optimization and more

[BKDDFS]

Release Notes - Version 2.2.0

New Features

• Versioning to API Endpoints (v2):
  • Added versioning to API endpoints to support multiple versions and improve backward compatibility.

Improvements

• Optimized Model Handling:
  • Added functionality to skip unnecessary model downloading and evaluator creation, resulting in faster initialization times and reduced resource usage.

Bug Fixes

• High RAM Usage Issue:
  • Fixed an issue causing high RAM usage due to the accumulation of frames in memory before they are written to disk. This fix improves performance and stability, especially on systems with limited memory.
• Python Versioning Fix:
  • Corrected the Python versioning in pyproject.toml for the fcs-filesystem (TensorFlow) to ensure compatibility and smooth deployment.
• Manual Garbage Collection:
  • Implemented manual garbage collecting and deleting of references to manage memory more efficiently.

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