vss-deploy-dense-captioning
CommunityStandalone RT-VLM deployment with API access.
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Deploying and testing an on-demand RT-VLM dense-captioning service can be complex, requiring coordination of Docker Compose, GPU access, NGC/Kafka credentials, and end-to-end API validation.
Core Features & Use Cases
- Standalone RT-VLM deployment to run dense-captioning on local video files or RTSP streams.
- API-centric validation of endpoints such as /v1/files, /v1/generate_captions, /v1/streams/add, /v1/chat/completions, and Kafka output for captions and incidents.
- Workflow guidance for health checks, model loading, and topic wiring to ensure repeatable validation in isolated environments.
Quick Start
Follow the standalone deployment flow to spin up the RT-VLM service with the bp_developer_alerts_2d_vlm profile and verify its health and API endpoints on port 8018.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: vss-deploy-dense-captioning Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#vss-deploy-dense-captioning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 510,000+ vetted skills library on demand.