AnomalyMatch v1.1.0

[v1.1.0] – 2025-07-07

Added

• Zarr file format support for scalable array storage and processing
• Session tracking and management with comprehensive iteration history
• Metadata handling for associating metadata with images in labeled_data.csv
• Configuration validation to ensure proper setup before training
• Label caching for improved performance in active learning loops
• Unlabeling functionality allowing users to remove labels from images
• Interpolation order configuration for image resizing operations
• ASinh normalization with grayscale/multichannel and RGB functionality

Changed

• Improved UI responsiveness with optimized image loading and display
• Enhanced session saving to capture training results and configurations
• Streamlined prediction process with better file type detection
• Reduced logging verbosity to minimize output spam
• Unified image resizing to use BILINEAR interpolation consistently
• Improved error handling for insufficient labeled data scenarios
• Better memory management in prediction processes

Fixed

• RGB display reset when using brightness/contrast sliders
• Train iterations slider usability issues
• Test ratio image reading bugs
• Cached image normalization not updating after training
• Channel ordering in TurboJPEG decoded files
• CPU fallback when CUDA is not available
• NaN/inf value handling in image processing
• Top image preservation across prediction batches
• Label count display in UI

Removed

• ZIP file support (kept for benchmarking, removed from prediction process)
• Redundant configuration options and deprecated functions

Performance

• Faster label lookups through intelligent caching mechanisms
• Optimized batch processing for HDF5 and Zarr formats
• Reduced memory usage in prediction workflows
• Improved UI responsiveness in ESA Datalabs environment