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Embeddings tweaks (#16864)

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* make semantic search optional

* config

* frontend metrics

* docs

* tweak

* fixes

* also check genai cameras for embeddings context
This commit is contained in:
Josh Hawkins
2025-02-28 12:43:08 -06:00
committed by GitHub
parent db4152c4ca
commit 8d2f461350
11 changed files with 95 additions and 71 deletions
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5
docs/docs/configuration/face_recognition.md
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@@ -9,7 +9,7 @@ Frigate has support for CV2 Local Binary Pattern Face Recognizer to recognize fa
## Configuration
Face recognition is disabled by default and requires semantic search to be enabled, face recognition must be enabled in your config file before it can be used. Semantic Search and face recognition are global configuration settings.
Face recognition is disabled by default, face recognition must be enabled in your config file before it can be used. Face recognition is a global configuration setting.
```yaml
face_recognition:
@@ -36,6 +36,7 @@ The accuracy of face recognition is heavily dependent on the quality of data giv
:::tip
When choosing images to include in the face training set it is recommended to always follow these recommendations:
- If it is difficult to make out details in a persons face it will not be helpful in training.
- Avoid images with under/over-exposure.
- Avoid blurry / pixelated images.
@@ -52,4 +53,4 @@ Then it is recommended to use the `Face Library` tab in Frigate to select and tr
### Step 2 - Expanding The Dataset
Once straight-on images are performing well, start choosing slightly off-angle images to include for training. It is important to still choose images where enough face detail is visible to recognize someone.
Once straight-on images are performing well, start choosing slightly off-angle images to include for training. It is important to still choose images where enough face detail is visible to recognize someone.

6
docs/docs/configuration/genai.md
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@@ -7,12 +7,6 @@ Generative AI can be used to automatically generate descriptive text based on th
Requests for a description are sent off automatically to your AI provider at the end of the tracked object's lifecycle. Descriptions can also be regenerated manually via the Frigate UI.
:::info
Semantic Search must be enabled to use Generative AI.
:::
## Configuration
Generative AI can be enabled for all cameras or only for specific cameras. There are currently 3 native providers available to integrate with Frigate. Other providers that support the OpenAI standard API can also be used. See the OpenAI section below.

1
docs/docs/configuration/reference.md
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@@ -570,7 +570,6 @@ lpr:
known_plates: {}
# Optional: Configuration for AI generated tracked object descriptions
# NOTE: Semantic Search must be enabled for this to do anything.
# WARNING: Depending on the provider, this will send thumbnails over the internet
# to Google or OpenAI's LLMs to generate descriptions. It can be overridden at
# the camera level (enabled: False) to enhance privacy for indoor cameras.