AMADEUS v1.2.2

AMADEUS v1.2.2

This release introduces an independent Add-ons system, expands drag-and-drop support for saved configurations, improves training performance and progress visualization, and refines the GUI across operating systems.

New: Add-ons System

• Added an Add-ons manager to the Home screen for installing independent applications from ZIP packages.
• Each add-on runs in a separate process with its own Python environment and dependencies.
• Added installation, updating, and uninstallation controls, with persistent application data across updates.
• Added draggable add-on panels with saved ordering.
• Added optional drag-and-drop support for files and videos on add-on panels.
• Improved package validation, installation progress feedback, and error handling.

See the [Add-ons guide](https://github.com/jpmyrmecol/AMADEUS/blob/main/tools/ADDONS.md) and [official add-on template](https://github.com/jpmyrmecol/AMADEUS-Addon-Template).

Home and Configuration Improvements

• Extended Home drag-and-drop support to saved configuration files.
• Added configuration loading for Easy Tracking, Advanced Tracking, Refinement, Segmentation, Cropping & Trimming, and Colab.
• Added support for dropping multiple YAML configurations into Multi Config Batch, automatically adding them to the queue without starting processing.
• Added Ctrl+S and Command+S configuration saving shortcuts to supported GUIs.
• Improved restoration of saved Cropping & Trimming settings, including regions, trimming parameters, output settings, and GPU acceleration preferences.

Training and Performance

• Added support for Ultralytics AutoBatch settings, including BATCH_SIZE: -1 and fractional memory targets such as 0.8.
• Improved automatic batch selection on AMD ROCm and automatic batch adjustments on NVIDIA GPUs.
• Improved recovery from memory exhaustion and checkpoint resumption.
• Set automatic Easy Tracking training image size limits to 640 px on macOS and ROCm, and 1024 px on other backends.
• Improved training progress visualization with per-epoch progress bars, image throughput (fps), cumulative processed image counts, and actual batch sizes.
• Updated the training Loss chart to display training Loss only, including saved epoch history when resuming.
• Expanded training diagnostics with accelerator memory capacity, CPU and RAM information, and epoch-level performance summaries.

GUI and Segmentation Improvements

• Standardized dark theme styling across GUI windows, dialogs, progress displays, and numeric controls.
• Improved macOS Spinbox appearance and Segmentation dialog readability.
• Updated the Segmentation IQR boxplot and blob information tooltips.
• Improved Segmentation background processing and progress handling.
• Show Background confirmation now remains valid when switching between median, max, and min methods. Repeating the preview confirmation is no longer required for the same video.

Bug Fixes and Maintenance

• Prevented malformed training CSV histories from being incorrectly truncated during checkpoint resumption.
• Fixed competing GUI updates during training epoch transitions.
• Prevented Loss histories from different training experiments from being combined.
• Fixed parsing of scientific notation in training Loss values.
• Improved error handling when loading malformed Cropping & Trimming YAML files.
• Improved Linux add-on storage migration and Windows uninstallation cleanup.
• Simplified startup diagnostics while preserving detailed training logs.
• Restored dependency installation progress output during environment setup.

Notes

• Add-ons are independent executable applications and are not sandboxed. Install packages only from trusted developers.
• Uninstalling AMADEUS also removes installed add-ons and their saved data. Back up important add-on data before uninstalling.
• The core animal tracking and association algorithms remain unchanged.

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Full changelog: v1.2.1...main