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v1.2.0
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[v1.2.0] – 2025-01-22
Added
Cutana streaming integration for catalogue-based predictions with parquet and CSV support
FitsBolt integration for consistent FITS normalization across training and prediction
Iteration score storage for tracking unlabeled and test data scores per iteration
Automatic batch size estimation using exponential and binary search for optimal GPU memory usage
Full resolution image preview button in the UI for detailed inspection
Dead code detection CI workflow using Vulture for codebase maintenance
Changed
Refactored Widget architecture by extracting PreviewWidget for better code organization
FitsBolt config persistence in model checkpoints for reproducible normalization
Parquet format for Cutana buffer instead of CSV for improved performance
Black line-length updated to 100 characters for better readability
Fixed
Gallery filename display for long filenames with improved shortening (#237)
Duplicate result accumulation in prediction process (#238)
Error handling for iteration score CSV saves (#236)
FITS extension handling in Cutana streaming
Tensor handling improvements throughout the codebase
Removed
Dead code cleanup removing unused functions and imports identified by Vulture
IDE/editor files from repository with updated .gitignore
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