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card: RF-DETR-Seg family

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@@ -64,6 +64,16 @@ boxes = out["dets"].numpy()[0] # cxcywh, multiply by imag
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  keep = scores > 0.5 # done — no NMS
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  ```
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  ## Split deployment (`split/`)
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  `split/rfdetr-{nano,medium}_{backbone,head}.aimodel` separate the pure-ViT
 
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  keep = scores > 0.5 # done — no NMS
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  ```
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+ ## RF-DETR-Seg (instance segmentation)
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+ `rfdetr-seg-{nano,small,medium,large,xlarge,2xlarge}_float32.aimodel` — same
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+ contract plus `masks [1, Q, R/4, R/4]`: per-query FULL-FRAME logit planes at
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+ stride 4 (host: sigmoid > 0.5; no ROI plumbing, no NMS). All six gate on CPU
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+ and GPU with binary-mask IoU 1.000 on stable scenes. M4 Max GPU:
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+ seg-nano 312² **10.7 ms** → seg-2xlarge 768² **59.1 ms**.
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+
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+ <p align="center"><img src="demo_seg_coco_cats.jpg" width="440" alt="RF-DETR-Seg nano on Core AI"></p>
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  ## Split deployment (`split/`)
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  `split/rfdetr-{nano,medium}_{backbone,head}.aimodel` separate the pure-ViT