- Support YOLO segmentation ONNX outputs, persist sparse RLE masks in object-detection protobuf data, and render configurable mask overlays in the Object Detection effect.
- Also normalize tracked object classes at save time, smooth short mask gaps, and expose Draw Mask / Mask Color / Mask Alpha only when mask data is available.
- Replace YOLOv3 Darknet loading with YOLOv5 ONNX model loading and validation.
- Parse YOLOv5 outputs with top class candidates for smoother labels.
- Improve SORT tracking with class-score smoothing and stricter geometry gates.
- Prevent active tracks from hopping to adjacent objects or tiny nested detections.
- Keep object ids stable through protobuf load/save and add an object-detection debug example.
- Add class-based default colors and matching border/background defaults.
- Add All Objects pseudo-selection support for tracked-object properties.
- Honor tracked-object corner radius when using tracker/object detector masks.
- Add regression tests for tracking stability, all-object styling, masks, and keyframes.
- Add tracked effect IDs as mask sources
- Generate bbox masks from Tracker/Object Detection
- Preserve original frame when no bbox is visible
- Add focused mask-source tests
- Mask: Start/End (seconds) picks the exact part of a mask video to use.
- Time Mode: Timeline follows project timing; Source FPS follows mask file timing.
- Loop mode then defines playback behavior: Play Once, Repeat, or Ping-Pong.
- Added optional Mask Mode overrides for Blur, Saturation, Brightness, Hue, Pixelate, and Sharpen (Limit to Mask, Vary Strength).
- Kept unified mask property naming (mask_reader) with legacy JSON compatibility where needed.
- Added/updated unit tests for base mask behavior, per-effect mode behavior, and JSON round-trips.
- Fixed profile tests to write generated files into the build/test directory instead of the source examples/ folder.
Jonathan Thomas