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* Use cosine distance metric for vec tables * Only apply normalization to multi modal searches * Catch possible edge case in stddev calc * Use sigmoid function for normalization for multi modal searches only * Ensure we get model state on initial page load * Only save stats for multi modal searches and only use cosine similarity for image -> image search |
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| .vscode | ||
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| public | ||
| src | ||
| themes | ||
| .eslintrc.cjs | ||
| .gitignore | ||
| .prettierrc | ||
| components.json | ||
| index.html | ||
| login.html | ||
| package-lock.json | ||
| package.json | ||
| postcss.config.js | ||
| README.md | ||
| site.webmanifest | ||
| tailwind.config.js | ||
| tsconfig.json | ||
| tsconfig.node.json | ||
| vite.config.ts | ||
This is the Frigate frontend which connects to and provides a User Interface to the Python backend.
Web Development
Installing Web Dependencies Via NPM
Within /web, run:
npm install
Running development frontend
Within /web, run:
PROXY_HOST=<ip_address:port> npm run dev
The Proxy Host can point to your existing Frigate instance. Otherwise defaults to localhost:5000 if running Frigate on the same machine.
Extensions
Install these IDE extensions for an improved development experience:
- eslint