Implement standalone PyTorch-based RIFE interpolation that runs in a
dedicated virtual environment to avoid Qt/OpenCV conflicts:
- Add PracticalRifeEnv class for managing venv and subprocess execution
- Add rife_worker.py standalone interpolation script using Practical-RIFE
- Add RIFE_PRACTICAL blending model with ensemble/fast mode settings
- Add UI controls for Practical-RIFE configuration
- Update .gitignore to exclude venv-rife/ directory
The implementation downloads Practical-RIFE models on first use and runs
interpolation in a separate process with proper progress reporting.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>