forked from Github/frigate
* add generic onnx model class and use jina ai clip models for all embeddings * fix merge confligt * add generic onnx model class and use jina ai clip models for all embeddings * fix merge confligt * preferred providers * fix paths * disable download progress bar * remove logging of path * drop and recreate tables on reindex * use cache paths * fix model name * use trust remote code per transformers docs * ensure tokenizer and feature extractor are correctly loaded * revert * manually download and cache feature extractor config * remove unneeded * remove old clip and minilm code * docs update
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