deepstream-sop
Installation
SKILL.md
DeepStream SOP Inference Microservice Skill
This skill guides AI coding assistants in building, extending, and debugging the NVIDIA DeepStream SOP (Standard Operating Procedure) Inference Microservice — a GPU-accelerated pipeline for temporal action detection and VLM-based SOP compliance monitoring on industrial video feeds.
Reference repository: https://github.com/NVIDIA/sop-monitoring-blueprints/tree/main/microservices/sop-inference-bp
Local reference code: sop-inference-bp/ directory (from a local clone of the repository)
Models
Model-agnostic at both inference stages — swap via env var (and Triton dir for GEBD).
| Stage | Role | Model class | Default | Swap via |
|---|---|---|---|---|
| Stage 1 (CV) | Per-frame boundary scoring → chunk segmentation | Generic Event Boundary Detection (GEBD) | DDM (MCG-NJU/DDM) via Triton Python backend | Replace triton_model_repo/<model>/ + DDM_MODEL_PATH (§ 5) |
| Stage 3 (VLM) | Per-chunk action classification | Vision-language model via vLLM | Cosmos Reason 1 7B (Reason 2 also supported) | Set VLLM_MODEL_PATH to a different HF ID or local path |