refactor: standardize on onnx-community HuggingFace format#167
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refactor: standardize on onnx-community HuggingFace format#167
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solderzzc
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Mar 18, 2026
solderzzc
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- Replace ultralytics-exported yolo26n.onnx with onnx-community version
- Simplify _OnnxCoreMLModel to single format: logits [1,300,80] + pred_boxes [1,300,4]
- Remove dual-format detection and ultralytics output parsing
- All YOLO26 sizes (n/s/m/l) now use the same onnx-community format
- Verified: 15-25ms/frame on M5 Pro with CoreML EP, correct detections
- Ship yolo26n.onnx (9.4MB) from onnx-community for zero-config default - On-demand download for s/m/l from onnx-community HuggingFace repos - _OnnxCoreMLModel wrapper: logits+pred_boxes → sigmoid+cxcywh→xyxy - Bypasses macOS 26.x MPSGraph MLIR crash (SIGABRT) - 15-25ms/frame (~67 FPS) on Apple M5 Pro with CoreML EP - Strip requirements_mps.txt: no torch/ultralytics (~120MB → ~17MB) - Class names from yolo26n_names.json (no .pt dependency)
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