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Migrate object genai configuration (#19437)

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* Move genAI object to objects section

* Adjust config propogation behavior

* Refactor genai config usage

* Automatic migration

* Always start the embeddings process

* Always init embeddings

* Config fixes

* Adjust reference config

* Adjust docs

* Formatting

* Fix
This commit is contained in:
Nicolas Mowen
2025-08-08 16:33:11 -06:00
committed by Blake Blackshear
parent 7c1681e344
commit 1f3755e45d
17 changed files with 251 additions and 264 deletions
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60
docs/docs/configuration/genai.md
View File

@@ -15,23 +15,24 @@ To use Generative AI, you must define a single provider at the global level of y
```yaml
genai:
enabled: True
provider: gemini
api_key: "{FRIGATE_GEMINI_API_KEY}"
model: gemini-1.5-flash
cameras:
front_camera:
objects:
genai:
enabled: True # <- enable GenAI for your front camera
use_snapshot: True
objects:
- person
required_zones:
- steps
enabled: True # <- enable GenAI for your front camera
use_snapshot: True
objects:
- person
required_zones:
- steps
indoor_camera:
genai:
enabled: False # <- disable GenAI for your indoor camera
objects:
genai:
enabled: False # <- disable GenAI for your indoor camera
```
By default, descriptions will be generated for all tracked objects and all zones. But you can also optionally specify `objects` and `required_zones` to only generate descriptions for certain tracked objects or zones.
@@ -68,7 +69,6 @@ You should have at least 8 GB of RAM available (or VRAM if running on GPU) to ru
```yaml
genai:
enabled: True
provider: ollama
base_url: http://localhost:11434
model: llava:7b
@@ -95,7 +95,6 @@ To start using Gemini, you must first get an API key from [Google AI Studio](htt
```yaml
genai:
enabled: True
provider: gemini
api_key: "{FRIGATE_GEMINI_API_KEY}"
model: gemini-1.5-flash
@@ -123,7 +122,6 @@ To start using OpenAI, you must first [create an API key](https://platform.opena
```yaml
genai:
enabled: True
provider: openai
api_key: "{FRIGATE_OPENAI_API_KEY}"
model: gpt-4o
@@ -151,7 +149,6 @@ To start using Azure OpenAI, you must first [create a resource](https://learn.mi
```yaml
genai:
enabled: True
provider: azure_openai
base_url: https://example-endpoint.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2023-03-15-preview
api_key: "{FRIGATE_OPENAI_API_KEY}"
@@ -194,32 +191,35 @@ You are also able to define custom prompts in your configuration.
```yaml
genai:
enabled: True
provider: ollama
base_url: http://localhost:11434
model: llava
prompt: "Analyze the {label} in these images from the {camera} security camera. Focus on the actions, behavior, and potential intent of the {label}, rather than just describing its appearance."
object_prompts:
person: "Examine the main person in these images. What are they doing and what might their actions suggest about their intent (e.g., approaching a door, leaving an area, standing still)? Do not describe the surroundings or static details."
car: "Observe the primary vehicle in these images. Focus on its movement, direction, or purpose (e.g., parking, approaching, circling). If it's a delivery vehicle, mention the company."
objects:
prompt: "Analyze the {label} in these images from the {camera} security camera. Focus on the actions, behavior, and potential intent of the {label}, rather than just describing its appearance."
object_prompts:
person: "Examine the main person in these images. What are they doing and what might their actions suggest about their intent (e.g., approaching a door, leaving an area, standing still)? Do not describe the surroundings or static details."
car: "Observe the primary vehicle in these images. Focus on its movement, direction, or purpose (e.g., parking, approaching, circling). If it's a delivery vehicle, mention the company."
```
Prompts can also be overriden at the camera level to provide a more detailed prompt to the model about your specific camera, if you desire.
Prompts can also be overridden at the camera level to provide a more detailed prompt to the model about your specific camera, if you desire.
```yaml
cameras:
front_door:
genai:
use_snapshot: True
prompt: "Analyze the {label} in these images from the {camera} security camera at the front door. Focus on the actions and potential intent of the {label}."
object_prompts:
person: "Examine the person in these images. What are they doing, and how might their actions suggest their purpose (e.g., delivering something, approaching, leaving)? If they are carrying or interacting with a package, include details about its source or destination."
cat: "Observe the cat in these images. Focus on its movement and intent (e.g., wandering, hunting, interacting with objects). If the cat is near the flower pots or engaging in any specific actions, mention it."
objects:
- person
- cat
required_zones:
- steps
objects:
genai:
enabled: True
use_snapshot: True
prompt: "Analyze the {label} in these images from the {camera} security camera at the front door. Focus on the actions and potential intent of the {label}."
object_prompts:
person: "Examine the person in these images. What are they doing, and how might their actions suggest their purpose (e.g., delivering something, approaching, leaving)? If they are carrying or interacting with a package, include details about its source or destination."
cat: "Observe the cat in these images. Focus on its movement and intent (e.g., wandering, hunting, interacting with objects). If the cat is near the flower pots or engaging in any specific actions, mention it."
objects:
- person
- cat
required_zones:
- steps
```
### Experiment with prompts

62
docs/docs/configuration/reference.md
View File

@@ -339,6 +339,33 @@ objects:
# Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object
mask: 0.000,0.000,0.781,0.000,0.781,0.278,0.000,0.278
# Optional: Configuration for AI generated tracked object descriptions
genai:
# Optional: Enable AI object description generation (default: shown below)
enabled: False
# Optional: Use the object snapshot instead of thumbnails for description generation (default: shown below)
use_snapshot: False
# Optional: The default prompt for generating descriptions. Can use replacement
# variables like "label", "sub_label", "camera" to make more dynamic. (default: shown below)
prompt: "Describe the {label} in the sequence of images with as much detail as possible. Do not describe the background."
# Optional: Object specific prompts to customize description results
# Format: {label}: {prompt}
object_prompts:
person: "My special person prompt."
# Optional: objects to generate descriptions for (default: all objects that are tracked)
objects:
- person
- cat
# Optional: Restrict generation to objects that entered any of the listed zones (default: none, all zones qualify)
required_zones: []
# Optional: What triggers to use to send frames for a tracked object to generative AI (default: shown below)
send_triggers:
# Once the object is no longer tracked
tracked_object_end: True
# Optional: After X many significant updates are received (default: shown below)
after_significant_updates: None
# Optional: Save thumbnails sent to generative AI for review/debugging purposes (default: shown below)
debug_save_thumbnails: False
# Optional: Review configuration
# NOTE: Can be overridden at the camera level
@@ -612,13 +639,6 @@ genai:
base_url: http://localhost::11434
# Required if gemini or openai
api_key: "{FRIGATE_GENAI_API_KEY}"
# Optional: The default prompt for generating descriptions. Can use replacement
# variables like "label", "sub_label", "camera" to make more dynamic. (default: shown below)
prompt: "Describe the {label} in the sequence of images with as much detail as possible. Do not describe the background."
# Optional: Object specific prompts to customize description results
# Format: {label}: {prompt}
object_prompts:
person: "My special person prompt."
# Optional: Configuration for audio transcription
# NOTE: only the enabled option can be overridden at the camera level
@@ -857,34 +877,6 @@ cameras:
actions:
- notification
# Optional: Configuration for AI generated tracked object descriptions
genai:
# Optional: Enable AI description generation (default: shown below)
enabled: False
# Optional: Use the object snapshot instead of thumbnails for description generation (default: shown below)
use_snapshot: False
# Optional: The default prompt for generating descriptions. Can use replacement
# variables like "label", "sub_label", "camera" to make more dynamic. (default: shown below)
prompt: "Describe the {label} in the sequence of images with as much detail as possible. Do not describe the background."
# Optional: Object specific prompts to customize description results
# Format: {label}: {prompt}
object_prompts:
person: "My special person prompt."
# Optional: objects to generate descriptions for (default: all objects that are tracked)
objects:
- person
- cat
# Optional: Restrict generation to objects that entered any of the listed zones (default: none, all zones qualify)
required_zones: []
# Optional: What triggers to use to send frames for a tracked object to generative AI (default: shown below)
send_triggers:
# Once the object is no longer tracked
tracked_object_end: True
# Optional: After X many significant updates are received (default: shown below)
after_significant_updates: None
# Optional: Save thumbnails sent to generative AI for review/debugging purposes (default: shown below)
debug_save_thumbnails: False
# Optional
ui:
# Optional: Set a timezone to use in the UI (default: use browser local time)