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rtvi-cv-customize-model

How to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2d_cv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT engine build, deployment, and a segmentation-capable model addendum handoff.

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# CV Detection Model Customization — VSS Alerts Blueprint (`2d_cv` mode only)

The RT-CV perception container (`vss-rt-cv`) runs a DeepStream pipeline with a configurable primary GIE (GPU Inference Engine). By default it uses GDINO or RTDETR. This guide covers replacing it with any ONNX-format model, using YOLOv11 COCO 80 as the worked example.

This only applies to `--mode verification` (`2d_cv`). Real-time alerts mode (`2d_vlm`) has no CV detector.

For instance-segmentation or detection-plus-mask models, complete [references/segmentation-model-contract.md](references/segmentation-model-contract.md) before writing parser or handoff code.

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