Object detection migration to Yolo v5 (ONNX)#1075
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- Remove unused tracked-object rotation property from JSON, properties, and box values - Add per-object Draw Text support alongside Draw Box - Use deterministic class colors for Object Detector instead of random seeded colors - Scale tracked-object stroke widths based on preview raster size - Keep Object Detector text rendering gated by both global and per-object text settings
- 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.
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Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## develop #1075 +/- ##
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+ Coverage 70.62% 72.23% +1.61%
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Files 242 245 +3
Lines 29537 30103 +566
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+ Hits 20860 21746 +886
+ Misses 8677 8357 -320 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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- Respect QImage::bytesPerLine() in saturation and mask blending - Preserve child effect IDs when inheriting parent effect changes - Propagate parent updates correctly through nested child effects - Add regression tests for padded image stride and parent effect inheritance
- Clamp and validate Blur, Bars, and Pixelate margin-derived regions - Add regression coverage for collapsed/out-of-range margin cases - Verify focused Bars, Blur, and Pixelate tests pass
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Newer versions of Yolo require updated OpenCV on ONNX layers, that our build servers do not yet have