Add cross-platform support with Avalonia UI #18
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Implements a complete cross-platform version of Yoable using Avalonia UI framework, enabling the application to run on Windows, macOS, and Linux. Key Features: - Complete Avalonia UI with all core functionality from WPF version - Model Manager for loading and managing multiple YOLO ONNX models - YouTube video download and frame extraction for training data - Auto-labeling with ensemble model support - Cross-platform dialog and file services - Recursive directory import for images and labels - Modern UI with dynamic sizing and proper layout Technical Implementation: - Avalonia UI 11.2.2 for cross-platform compatibility - Service abstraction layer (IDialogService, IFileService, IImageService) - OpenCvSharp for cross-platform image processing - YoutubeExplode for video downloading - Proper async/await patterns with CancellationToken support - Progress reporting for long-running operations Project Structure: - Yoable/ - Core library with managers and services - Yoable.Desktop/ - Avalonia UI implementation - Yoable.sln - Solution file for Avalonia projects This enables users on macOS and Linux to use Yoable for YOLO dataset labeling and training preparation.
Add full implementation of Auto Suggest Labels feature that runs AI detection on the currently selected image: - Check for loaded models and prompt to load if none - Run inference on current image only (vs Auto Label which processes all images) - Support ensemble detection with multiple models - Show progress dialog during detection - Display detection count and model info in completion message - Update UI after detection completes This completes the AI menu functionality alongside Model Manager and Auto Label Images.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Overview
This PR adds cross-platform support to Yoable by implementing a complete Avalonia UI version that runs on Windows, macOS, and Linux.
What's New
Cross-Platform Compatibility
Key Features
Technical Implementation
Project Structure
The original WPF version remains unchanged in the
YoableWPF/directory.Testing
Tested on:
Benefits
Notes
This PR focuses on the core cross-platform migration. Additional features (training, enhanced YouTube support) will be submitted in separate PRs as discussed.