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 before writing parser or handoff code.

When to use

Use this skill when the user wants to:

• swap the stock vss-rt-cv detector for another ONNX model in verification mode,
• debug a broken ONNX staging path, ghost-directory bind mount, or missing runtime TRT engine build,
• fix a DeepStream parser load failure such as dlsym failed on the bbox parser symbol.

Do not use this skill for: