V1.2.4

• Merge pull request #21 from OpenSportsLab/dev-silvio
• feat: Update application version to v1.2.4
• feat: Display OpenSportsLib version in info popup, handle missing package gracefully
• Refactor question-answer tests to improve clarity and functionality
• feat: Add download script for Hugging Face dataset splits with support for JSON and Parquet formats
• Refactor Q/A system to support grouped answers and remove legacy structures
• Refactor HF download/upload dialogs to use repo ID, revision, and split parameters
• feat: Add confidence sorting feature to Dataset Explorer with UI toggle
• feat: Enhance Dataset Explorer with confidence score display and natural sorting
• Refactor media playback architecture with backend support
• Add support for tracking parquet files in GUI tests and visualization tool
• feat: Enhance upload_dataset_to_hf tool to create missing repos and branches during upload
• feat: Add upload_dataset_to_hf tool for uploading OSL datasets to Hugging Face
• feat: Implement video conversion tool to generate 224p copies from OSL JSON dataset
• feat: Add script to merge MVFouls classification labels into XFoul VQA annotations
• feat: Enhance shard handling in upload dialog and CLI; add shard size configuration
• Refactor media controller integration and enhance frame preview functionality
• feat: Update inference and training managers to use new model API; enhance prediction handling and add tests
• refactor: Migrate tools to opensportslib and update documentation
• feat: Add application metadata and shortcuts help text; enhance main window with help menu

v1.2.3

• Merge pull request #20 from OpenSportsLab/dev-silvio
• Update documentation and improve user experience
• feat: Enhance MediaController to improve file type validation and allow unknown video formats
• Merge pull request #19 from OpenSportsLab/dev-silvio
• feat: Enhance MediaController to validate video input and prevent playback on non-video files
• update format metadata parquet to accomodate for other modality input
• feat: Implement batched upload for parquet datasets in Hugging Face with commit operation
• Merge pull request #18 from OpenSportsLab/dev-silvio
• feat: Enhance dataset upload functionality with batched commits and JSON upload option
• feat: Add Question/Answer mode to OSL Annotation Tool
• Enhance dataset explorer functionality with improved file handling and grouping logic
• Merge pull request #17 from OpenSportsLab/dev-silvio
• Update tools/parquet_webdataset_to_osl_json.py
• Update tools/README.md
• Update annotation_tool/tools/osl_json_to_parquet.py
• Fix branch creation to use the initial commit as base in Hugging Face dataset
• Add conversion utilities for OSL annotation datasets
• Add scripts for converting OSL JSON to Parquet/WebDataset and vice versa
• Implement inference cancellation feature and related UI updates
• Add Hugging Face dataset upload functionality and related tests

v1.2.2

Added Question/Answer data format

What's Changed

• Added Workflow for Question Answering by @SilvioGiancola in #18

Full Changelog: v.1.2.1...v1.2.2

v.1.2.1

• Merge pull request #17 from OpenSportsLab/dev-silvio
• Update tools/parquet_webdataset_to_osl_json.py
• Update tools/README.md
• Update annotation_tool/tools/osl_json_to_parquet.py
• Fix branch creation to use the initial commit as base in Hugging Face dataset
• Add conversion utilities for OSL annotation datasets
• Add scripts for converting OSL JSON to Parquet/WebDataset and vice versa
• Implement inference cancellation feature and related UI updates
• Add Hugging Face dataset upload functionality and related tests
• Merge pull request #16 from OpenSportsLab/dev-silvio
• yet anotehr tiny bug
• Merge pull request #15 from OpenSportsLab/dev-silvio
• minor fix for windows
• Merge pull request #14 from OpenSportsLab/dev-silvio
• fixed dependencies for CI/Release workflow
• Merge pull request #13 from OpenSportsLab/dev-silvio
• Remove conditional checks for manual runs in artifact zipping and uploading steps in CI workflow
• Add loc_config.yaml to data collection in CI and release workflows
• Merge pull request #12 from OpenSportsLab/dev-silvio
• Merge branch 'dev-silvio' of https://github.com/OpenSportsLab/VideoAnnotationTool into dev-silvio

v1.2.0

Improve dataset state management, undo/redo behavior, project close flows, and annotation workflows across classification, localization, description, and dense description. Add broader GUI regression coverage and polish media and editor interactions.

What's new

• Centralized dataset runtime state around the Dataset Explorer flow
• Improved undo/redo behavior for dataset and annotation mutations
• Better dataset header inspector editing and JSON preview handling
• Safer unsaved-changes workflow when closing projects
• Immediate manual-save behavior in Classification
• Autosave support in Description
• Improved Localization smart annotation, head/label management, and label color handling
• Chronological ordering guarantees for Dense Description and Localization events after add/edit/delete
• Updated media controls, including mute support
• Broader GUI regression coverage across lifecycle, explorer, media, history, and mode workflows

Fixes and polish

• Fixed dense description removal behavior
• Improved tab visibility and tab-removal behavior in editor panels
• Refined controller boundaries and signal-based coordination across modules
• Updated tests and workflow coverage for recent projects, dataset explorer behavior, and mode-specific interactions

Commits:

• Merge pull request #11 from OpenSportsLab/dev-silvio
• Fix dense description test: use on_media_position_changed instead of mocking player.position
• Copilot advise: rename question in dialog
• feat(localization): Adjust button styling and hide tab bar when only one tab remains
• feat(localization): Implement label color management and UI integration
• feat(classification): Implement head management with add, rename, and delete functionalities
• feat(classification): Hide training tab and refactor tab removal logic
• feat(localization): Enhance localization inference with head context and configuration management
• feat(localization): Enhance smart event handling and UI interactions
• Refactor Localization and Classification Controllers
• fix: dense desription removal was not working
• feat: Ensure chronological order of dense and localization events after add, modify, and delete operations
• feat: Enhance Dense Description module with improved signal handling and controller API
• feat: Enhance Description module with improved signal handling and API methods
• feat: Improve column layout handling in DenseAnnotationPanel with retry mechanism
• feat: Add mute button with icon and tooltip to MediaCenterPanel
• Refactor tests to use dataset_explorer_controller directly
• feat: Refactor media handling by removing QMediaPlayer dependencies and implementing signal-based playback control
• feat: Enhance dense description functionality with new event handling and UI updates
• feat: Enable immediate saving of manual annotations and update confirm button visibility in ClassificationAnnotationPanel

What's Changed

• Refactor dataset state management and stabilize annotation workflows across all modes by @SilvioGiancola in #11

Full Changelog: v1.1.6.1...v1.2.0

v1.1.6.1

Release Notes

Scope

This release includes all changes merged from:

• PR #8 (fd273b4)
• PR #9 (cff7c50)
• PR #10 (902e5f1)

Highlights

• Major UI/controller architecture simplification across all modes.
• Full migration to Qt Designer .ui-driven panels for core app surfaces.
• Dataset Explorer is now the central owner of sample lifecycle and selection routing.
• Persistent Recent Datasets in Welcome screen (QSettings-backed).
• Large pytest-qt GUI suite expansion for lifecycle and mode workflows.

New and Improved

Unified and simplified app structure

• Flattened ui/ structure (removed deep nesting and ui/common).
• Flattened shared controllers (removed controllers/common).
• Standardized package pattern per panel: __init__.py + .ui + README.md.

Dataset Explorer-first workflow

• Terminology normalized from “video/clip” to sample in explorer flows/UI.
• Add/remove/filter/clear operations centralized in DatasetExplorerController.
• Selection contract now uses canonical Data ID dispatch to mode controllers.
• Multi-view media routing handled centrally through Dataset Explorer + media player.

Navigation and media routing cleanup

• Media selection is routed directly from Dataset Explorer to central media player.
• Removed dead/duplicate navigation code from mode controllers.
• Navigation controls were relocated to mode-appropriate widgets.
• Filter behavior improved: when a filter leaves no visible samples, media and annotations are cleared.

Mode panel/controller refactors

• Description and Dense Description moved to single-controller architecture with .ui panels.
• Localization moved to .ui panel + consolidated controller architecture.
• Classification panel and controller were aligned with the same architecture direction.
• Old/unused child widget files and obsolete manager patterns were removed.

Welcome and project lifecycle UX

• Welcome screen now has Recent Datasets integration with persistent storage via QSettings.
• Improved close workflow for dirty projects with explicit options:
  • Save
  • Save As
  • Close Without Saving
  • Cancel
• No unsaved-changes popup when dataset is clean.

Testing and Quality

• Expanded GUI coverage with pytest-qt across:
  • app lifecycle
  • recent datasets
  • dataset editing
  • classification/localization/description/dense workflows
• Added deterministic test fixtures, headless defaults, and QSettings isolation.
• Added tests for routing and filter behavior (including empty-visible-list clearing behavior).

Breaking/Internal Migration Notes

• Import paths changed after UI/controllers flattening (clean-cut, no compatibility aliases).
• DatasetExplorerController now owns add/remove/filter/clear logic; mode controllers no longer own these flows.
• Selection wiring is now Data ID-based (on_data_selected(data_id) style).
• Some older media/player navigation signals and legacy dispatcher paths were removed.
• If you maintain local extensions/plugins, update imports and controller entrypoints accordingly.

Notes

• “Show Smart Labelled” remains future-ready for Description/Dense; current behavior may produce no smart matches for those modes until smart labeling is introduced there.

VideoAnnotationTool_V1.1.6

• Data Sandbox Logic: Implemented strict data isolation between Manual and Smart annotations, featuring a dual-list UI (Predicted vs. Confirmed) for accumulated AI results.

• OSL JSON Standard: Standardized export format by merging all events into a single array, using confidence scores to distinguish AI results and ensuring strict integer types for timestamps.

• Robust Undo/Redo: Added comprehensive history support for Smart Annotation (Run, Confirm, Delete) with tab-aware UI refreshing to prevent view-switching bugs.

• UX & Stability: Added an indeterminate progress bar for inference, fixed schema registration for new projects, and implemented full state resetting when switching or creating projects.

• Fix some bugs of deployment(ci.yml and release.yml)

VideoAnnotationToolV1.1.5

• Introduced a compact dynamic label flow layout that replaces the rigid 2-column grid, with auto-sized buttons and natural wrapping for better space usage.
• Added quick timestamp editing with a Set to Current Video Time action for fast event updates.
• Improved event list navigation so newly created or modified events remain highlighted and auto-scroll into view after re-sorting.
• Refined the interface with reduced button height and a cleaner blue + Add Label style to minimize visual clutter.
• Integrated the training workflow with soccernetpro through a background QThread, keeping the UI responsive during training.
• Added real-time training monitoring with a progress bar and status updates by parsing live stdout/stderr logs.
• Fixed configuration and path issues, including missing keys and external-drive dataset support.
• Added user controls for safe training interruption and automatic checkpoint saving next to annotation files.
• Documented FFmpeg-based fixes for macOS video decoding issues with unsupported formats.

VideoAnnotationTool V1.1.4.1

• Modified apply_action_filter to make Hand Labelled and Smart Labelled filters inclusive rather than mutually exclusive.
• Added real-time filter refreshing and refactored logic for batch confirmation, undo/redo, and robust confidence parsing.
• Added logic to reset smart annotation UI components in the right panel within the _clear_workspace method.
• Inserted filter refresh calls in refresh_ui_after_undo_redo to ensure the left list syncs immediately after undo/redo.
• Fixed key mismatch in batch undo logic by changing old_batch to old_data to match the history stack.
• Corrected undo key names and updated batch results to pass rich dictionaries with confidence instead of plain strings.
• Added descriptive "Start:" and "End:" labels before the batch inference selection comboboxes in the UI.
• Fix Save/Export button state to properly recognize confirmed smart annotations in Classification mode.

VideoAnnotationTool V1.1.4

• Implemented dynamic label mapping in config.yaml to remove hardcoded class dependencies.
• Fixed cross-loading bugs; eliminated the need to start from an empty JSON; fixed task-name validation errors.
• Implemented dual-track export (Hand/Smart labels); refined schema to ensure standard action_classification output.
• Implemented "hard-root" logic; eliminated redundant dataset copying by referencing source paths directly.
• Introduced a compact tabbed interface (Hand/Smart); optimized vertical spacing and implemented dynamic font scaling.
• Developed independent Smart Annotation confirmation; added a 4-state filter (All/Hand/Smart/None).
• Expanded the Undo/Redo system to support batch operations and AI inference tasks.