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Nicolas Mowen 2025-08-14 17:41:31 -06:00
parent 96bc1e36f3
commit 973eb54d2d
2 changed files with 9 additions and 4 deletions
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3
frigate/data_processing/post/review_descriptions.py
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@ -217,7 +217,8 @@ def run_analysis(
"id": final_data["id"], "id": final_data["id"],
"camera": camera, "camera": camera,
"zones": final_data["data"]["zones"], "zones": final_data["data"]["zones"],
"timestamp": datetime.datetime.fromtimestamp(final_data["end_time"]), "start": datetime.datetime.fromtimestamp(final_data["start_time"]),
"duration": final_data["end_time"] - final_data["start_time"],
} }
objects = [] objects = []

10
frigate/genai/__init__.py
View File

@ -77,7 +77,6 @@ When forming your description:
- Time of day should **increase suspicion only when paired with unusual or security-relevant behaviors**. Do not raise the threat level for common residential activities (e.g., residents walking pets, retrieving mail, gardening, playing with pets, supervising children) even at unusual hours, unless other suspicious indicators are present. - Time of day should **increase suspicion only when paired with unusual or security-relevant behaviors**. Do not raise the threat level for common residential activities (e.g., residents walking pets, retrieving mail, gardening, playing with pets, supervising children) even at unusual hours, unless other suspicious indicators are present.
- Focus on behaviors that are uncharacteristic of innocent activity: loitering without clear purpose, avoiding cameras, inspecting vehicles/doors, changing behavior when lights activate, scanning surroundings without an apparent benign reason. - Focus on behaviors that are uncharacteristic of innocent activity: loitering without clear purpose, avoiding cameras, inspecting vehicles/doors, changing behavior when lights activate, scanning surroundings without an apparent benign reason.
- **Benign context override**: If scanning or looking around is clearly part of an innocent activity (such as playing with a dog, gardening, supervising children, or watching for a pet), do not treat it as suspicious. - **Benign context override**: If scanning or looking around is clearly part of an innocent activity (such as playing with a dog, gardening, supervising children, or watching for a pet), do not treat it as suspicious.
- If any verified recognized object is a known trusted person (e.g., family member, employee, authorized visitor), assume the activity is normal **unless** there is clear evidence of immediate threat (threat level 2). In such cases, default to threat level 0.
Your response MUST be a flat JSON object with: Your response MUST be a flat JSON object with:
- `scene` (string): A full description including setting, entities, actions, and any plausible supported inferences. - `scene` (string): A full description including setting, entities, actions, and any plausible supported inferences.
@ -92,7 +91,7 @@ Threat-level definitions:
Sequence details: Sequence details:
- Frame 1 = earliest, Frame {len(thumbnails)} = latest - Frame 1 = earliest, Frame {len(thumbnails)} = latest
- Activity occurred at {review_data["timestamp"].strftime("%A, %I:%M %p")} - Activity started at {review_data["start"]} and lasted {review_data["duration"]} seconds
- Detected objects: {", ".join(review_data["objects"])} - Detected objects: {", ".join(review_data["objects"])}
- Verified recognized objects: {", ".join(review_data["recognized_objects"]) or "None"} - Verified recognized objects: {", ".join(review_data["recognized_objects"]) or "None"}
- Zones involved: {", ".join(z.replace("_", " ").title() for z in review_data["zones"]) or "None"} - Zones involved: {", ".join(z.replace("_", " ").title() for z in review_data["zones"]) or "None"}
@ -122,7 +121,12 @@ Sequence details:
) )
try: try:
return ReviewMetadata.model_validate_json(clean_json) metadata = ReviewMetadata.model_validate_json(clean_json)
if review_data["recognized_objects"]:
metadata.potential_threat_level = 0
return metadata
except Exception as e: except Exception as e:
# rarely LLMs can fail to follow directions on output format # rarely LLMs can fail to follow directions on output format
logger.warning( logger.warning(