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update twelvelabs-nvidia-vss repo name

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thierrypdamiba
2026-03-15 17:39:20 -07:00
parent c48ed8eb11
commit 1a4c219a64
2 changed files with 5 additions and 5 deletions
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qdrant-landing/content/documentation/tutorials-build-essentials/video-anomaly-edge-part-1.md
+4 -4
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@@ -144,7 +144,7 @@ ANOMALY_THRESHOLD=0.15
**4.** Clone the NVIDIA VSS framework (with Twelve Labs integration) for reference.
```bash
git clone https://github.com/qdrant/qdrant-twelvelabs-nvidia-vss
git clone https://github.com/qdrant/twelvelabs-nvidia-vss
```
**5.** Start the full stack with Docker Compose.
@@ -381,7 +381,7 @@ The true value is in **modularity**. Our architecture uses the Twelve Labs integ
### Video Chunking for VSS
The first step in the VSS pipeline is chunking. Following the pattern from the [Twelve Labs x NVIDIA VSS manufacturing sample](https://github.com/qdrant/qdrant-twelvelabs-nvidia-vss), we split videos using FFmpeg's segment muxer:
The first step in the VSS pipeline is chunking. Following the pattern from the [Twelve Labs x NVIDIA VSS manufacturing sample](https://github.com/qdrant/twelvelabs-nvidia-vss), we split videos using FFmpeg's segment muxer:
`/backend/vss.py`
@@ -424,7 +424,7 @@ def chunk_video(
return sorted(output_dir.glob(f"{input_path.stem}_chunk_*.mp4"))
```
**Why chunk at all?** The same cost issue from the [manufacturing sample](https://github.com/qdrant/qdrant-twelvelabs-nvidia-vss) applies here. Processing 24 hours of raw video is expensive. Our edge tier already filters ~85% of footage, and chunking the remaining escalated clips further optimizes the cloud pipeline. Only chunks of interest flow through the full VSS stack.
**Why chunk at all?** The same cost issue from the [manufacturing sample](https://github.com/qdrant/twelvelabs-nvidia-vss) applies here. Processing 24 hours of raw video is expensive. Our edge tier already filters ~85% of footage, and chunking the remaining escalated clips further optimizes the cloud pipeline. Only chunks of interest flow through the full VSS stack.
### Async Upload to VSS
@@ -535,7 +535,7 @@ In **[Part III | Scoring, Governance, and Deployment](/documentation/tutorials-b
Additional Resources:
- **Project Repository**: [qdrant/video-anomaly-edge](https://github.com/qdrant/video-anomaly-edge)
- **NVIDIA VSS Twelve Labs Integration**: [qdrant/qdrant-twelvelabs-nvidia-vss](https://github.com/qdrant/qdrant-twelvelabs-nvidia-vss)
- **NVIDIA VSS Twelve Labs Integration**: [qdrant/twelvelabs-nvidia-vss](https://github.com/qdrant/twelvelabs-nvidia-vss)
- **Twelve Labs Documentation**: [docs.twelvelabs.io](https://docs.twelvelabs.io/)
- **Qdrant Documentation**: [qdrant.tech/documentation](https://qdrant.tech/documentation/)
- **Vultr Cloud GPUs**: [vultr.com/products/cloud-gpu](https://www.vultr.com/products/cloud-gpu/)