administrator/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-05-05 13:07:44 +03:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

Update description of model

Browse Source
This commit is contained in:
Nicolas Mowen 2025-03-26 20:56:11 -06:00
parent c7f9b2985e
commit c145b8a290
2 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
docs/docs/configuration/face_recognition.md
View File

@ -23,15 +23,15 @@ Frigate needs to first detect a `face` before it can recognize a face.
Frigate has support for two face recognition model types: Frigate has support for two face recognition model types:
- **small**: Frigate will use CV2 Local Binary Pattern Face Recognizer to recognize faces, which runs locally on the CPU. This model is optimized for efficiency and is not as accurate. - **small**: Frigate will run a FaceNet embedding model to recognize faces, which runs locally on the CPU. This model is optimized for efficiency and is not as accurate.
- **large**: Frigate will run a face embedding model, this model is optimized for accuracy. It is only recommended to be run when an integrated or dedicated GPU is available. - **large**: Frigate will run a large ArcFace embedding model that is optimized for accuracy. It is only recommended to be run when an integrated or dedicated GPU is available.
In both cases a lightweight face landmark detection model is also used to align faces before running the recognition model. In both cases a lightweight face landmark detection model is also used to align faces before running the recognition model.
## Minimum System Requirements ## Minimum System Requirements
The `small` model is optimized for efficiency and runs on the CPU, there are no significantly different system requirements. The `small` model is optimized for efficiency and runs on the CPU, most CPUs should run the model efficiently.
The `large` model is optimized for accuracy and an integrated or discrete GPU is highly recommended. The `large` model is optimized for accuracy, an integrated or discrete GPU is highly recommended.
## Configuration ## Configuration

4
web/public/locales/en/views/settings.json
View File

@ -113,11 +113,11 @@
"desc": "The size of the model used for face recognition.", "desc": "The size of the model used for face recognition.",
"small": { "small": {
"title": "small", "title": "small",
"desc": "Using <em>small</em> employs a Local Binary Pattern Histogram model via OpenCV that runs efficiently on most CPUs." "desc": "Using <em>small</em> employs a FaceNet face embedding model that runs efficiently on most CPUs."
}, },
"large": { "large": {
"title": "large", "title": "large",
"desc": "Using <em>large</em> employs an ArcFace Face embedding model and will automatically run on the GPU if applicable." "desc": "Using <em>large</em> employs an ArcFace face embedding model and will automatically run on the GPU if applicable."
} }
} }
}, },