jeremy/frigate-notify
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pluto 2df137ee2a feat: add recognition engine with CLIP matching and Ollama vision LLM 
- OllamaClient: analyze_image, compare_images, is_available
- Recognition pipeline: CLIP embedding -> cosine similarity -> threshold
  routing (known >0.85, unknown <0.60, ambiguous -> Ollama fallback)
- Vision dispatcher: get_description() supports haiku/ollama/both backends
- 9 embedding serialization tests

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 17:17:49 -06:00
app
feat: add recognition engine with CLIP matching and Ollama vision LLM
2026-03-07 17:17:49 -06:00
clip-service
feat: add CLIP embedding service sidecar for GPU machine
2026-03-07 17:17:42 -06:00
tests
feat: add recognition engine with CLIP matching and Ollama vision LLM
2026-03-07 17:17:49 -06:00
.env.example
Initial commit: frigate-notify application
2026-03-07 14:30:57 -06:00
.gitignore
feat: scaffold v2 with FastAPI, SQLite database, and project structure
2026-03-07 17:02:17 -06:00
docker-compose.yml
Initial commit: frigate-notify application
2026-03-07 14:30:57 -06:00
Dockerfile
feat: scaffold v2 with FastAPI, SQLite database, and project structure
2026-03-07 17:02:17 -06:00
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Description
AI-powered Frigate NVR video alert service: MQTT -> Claude Vision -> Matrix
94 KiB
Languages
Python 75.3%
JavaScript 16.7%
CSS 5.9%
HTML 1.6%
Dockerfile 0.5%