5a5d23b503
* add generation script a script to read yaml code blocks from docs markdown files and generate corresponding "Frigate UI" tab instructions based on the json schema, i18n, section configs (hidden fields), and nav mappings * first pass * components * add to gitignore * second pass * fix broken anchors * fixes * clean up tabs * version bump * tweaks * remove role mapping config from ui
1.6 KiB
| id | title |
|---|---|
| bird_classification | Bird Classification |
import ConfigTabs from "@site/src/components/ConfigTabs"; import TabItem from "@theme/TabItem"; import NavPath from "@site/src/components/NavPath";
Bird classification identifies known birds using a quantized Tensorflow model. When a known bird is recognized, its common name will be added as a sub_label. This information is included in the UI, filters, as well as in notifications.
Minimum System Requirements
Bird classification runs a lightweight tflite model on the CPU, there are no significantly different system requirements than running Frigate itself.
Model
The classification model used is the MobileNet INat Bird Classification, available identifiers can be found here.
Configuration
Bird classification is disabled by default and must be enabled before it can be used. Bird classification is a global configuration setting.
Navigate to .
- Set Bird classification config > Bird classification to on
- Set Bird classification config > Minimum score to the desired confidence score (default: 0.9)
classification:
bird:
enabled: true
Advanced Configuration
Fine-tune bird classification with these optional parameters:
threshold: Classification confidence score required to set the sub label on the object.- Default:
0.9.
- Default: