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Create ReviewSegment table in DB for organizing detections to be reviewed (#9918)

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* Add review to database

* Create main manager for review segments

* Upsert and maintain review segments

* Update logic for adding new segments

* Add api

* Support deleting review segments on recording cleanup

* Add field for alert labels

* Formatting

* Logic fixes

* Save 16:9 thumbnail for review segment

* Ensure that crop is 16:9

* Fix non detected objects being added

* Only include true positives

* Add sub labels to data
This commit is contained in:
Nicolas Mowen
2024-02-20 16:26:09 -07:00
committed by GitHub
parent cdd6ac9071
commit 940be5dc6f
12 changed files with 598 additions and 5 deletions
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4
frigate/config.py
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@@ -58,6 +58,7 @@ if os.path.isdir("/run/secrets"):
).read_text()
DEFAULT_TRACKED_OBJECTS = ["person"]
DEFAULT_ALERT_OBJECTS = ["person", "car"]
DEFAULT_LISTEN_AUDIO = ["bark", "fire_alarm", "scream", "speech", "yell"]
DEFAULT_DETECTORS = {"cpu": {"type": "cpu"}}
DEFAULT_DETECT_DIMENSIONS = {"width": 1280, "height": 720}
@@ -512,6 +513,9 @@ class ZoneConfig(BaseModel):
class ObjectConfig(FrigateBaseModel):
track: List[str] = Field(default=DEFAULT_TRACKED_OBJECTS, title="Objects to track.")
alert: List[str] = Field(
default=DEFAULT_ALERT_OBJECTS, title="Objects to create alerts for."
)
filters: Dict[str, FilterConfig] = Field(default={}, title="Object filters.")
mask: Union[str, List[str]] = Field(default="", title="Object mask.")