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Miscellaneous Fixes (#20848)
* Fix filtering for classification * Adjust prompt to account for response tokens * Correctly return response for reprocess * Use API response to update data instead of trying to re-parse all of the values * Implement rename class api * Fix model deletion / rename dialog * Remove camera spatial context * Catch error
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@@ -68,36 +68,6 @@ The mere presence of an unidentified person in private areas during late night h
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</details>
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### Camera Spatial Context
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In addition to defining activity patterns, you can provide spatial context for specific cameras to help the LLM generate more accurate and descriptive titles and scene descriptions. The `camera_context` field allows you to describe physical features and locations that are outside the camera's field of view but are relevant for understanding the scene.
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**Important Guidelines:**
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- This context is used **only for descriptive purposes** to help the LLM write better titles and scene descriptions
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- It should describe **physical features and spatial relationships** (e.g., "front door is to the right", "driveway on the left")
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- It should **NOT** include subjective assessments or threat evaluations (e.g., "high-crime area")
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- Threat level determination remains based solely on observable actions defined in the activity patterns
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Example configuration:
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```yaml
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cameras:
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front_door:
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review:
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genai:
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enabled: true
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camera_context: |
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- Front door entrance is to the right of the frame
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- Driveway and street are to the left
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- Steps in the center lead from the sidewalk to the front door
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- Garage is located beyond the left edge of the frame
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```
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This helps the LLM generate more natural descriptions like "Person approaching front door" instead of "Person walking toward right side of frame".
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The `camera_context` can be defined globally under `genai.review` and overridden per camera for specific spatial details.
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### Image Source
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By default, review summaries use preview images (cached preview frames) which have a lower resolution but use fewer tokens per image. For better image quality and more detailed analysis, you can configure Frigate to extract frames directly from recordings at a higher resolution:
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