vit-captioner v0.1.2

ViT Captioner v0.1.2 Release Notes

Performance & Stability Improvements

This release includes significant optimizations to improve stability and performance:

• Thread Safety Enhancements: Fixed threading issues with matplotlib by implementing a non-interactive backend, preventing segmentation faults during parallel processing
• Fallback Mechanisms: Added robust error handling that preserves output even when visualization fails
• Resource Management: Implemented better memory management with proper cleanup of resources
• Single Model Loading: Optimized to load the ViT-GPT2 model only once for multiple frames, reducing memory usage and improving speed

Code Quality Improvements

• Unified Version Management: Simplified version tracking across the package
• Progress Tracking: Enhanced progress bars for better visibility of processing status
• Verbose Mode: Added proper support for verbose output flag throughout the application

Documentation Updates

• Updated README with new features and optimizations
• Expanded examples to show proper usage of the verbose flag
• Added details about performance considerations

Under the Hood

• Fixed matplotlib threading issues that were causing segmentation faults
• Suppressed redundant transformer model warnings for cleaner output
• Limited the number of concurrent workers to prevent memory overload
• Improved error handling throughout the codebase

Thank you for using ViT Captioner! This release makes the tool more robust for processing videos of all sizes.