deepstream-import-vision-model

# DeepStream Import Vision Model When this skill is active, **read the relevant reference document before starting each phase**. Do not rely on memory — reference documents contain exact script paths, bash variable conventions, log filename contracts, and critical parsing rules. **Current scope:** Object detection models only. Fail fast on classification, segmentation, or other architectures detected in `config.json`. ## Pipeline Overview | Step | Phase | Reference | What it does | |------|-------|-----------|--------------| | 1–3 | Model Acquire | [references/model-acquire.md](references/model-acquire.md) | Browse HF/NGC, detect format, download ONNX or export SafeTensors | | 4–5 | Engine Build | [references/engine-build.md](references/engine-build.md) | Build dynamic TRT engine, run trtexec BS=1 and BS=MAX_BS | | 6–7 | DS Pipeline | [references/pipeline-run.md](references/pipeline-run.md) | Custom bbox parser, nvinfer config, single-stream + multi-stream benchmarks | | 8 | Report | [references/report-generation.md](references/report-generation.md) | 5 charts, HTML, PDF benchmark report | Run the full pipeline autonomously without pausing for confirmation at each step. ## Pre-flight Checks Run before starting: ```bash # 1. GPU and drivers nvidia-smi # 2. TensorRT version match (must match between builder and DS runtime) trtexec 2>&1 | head -3 dpkg -l | grep libnvinfer-bin # 3. Shared Python venv — create once, reuse across all models mkdir -p build VENV...