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Code Issues Actions 2 Packages Projects Releases Wiki Activity

Miscellaneous Fixes (#21102)

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* ensure audio events display timeline entries in tracking details

* tweak tracking details layout for small desktop sizes

* update transcription docs

* Update classification docs for training recommendations

* Make number of classification images to be kept configurable

* Add bird to classification reference

* Fix incorrect averaging of the segments so it correctly only uses the most recent segments

* fix trigger logic

* add ability to download clean snapshot

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
This commit is contained in:
Josh Hawkins
2025-12-02 07:21:15 -07:00
committed by GitHub
co-authored by Nicolas Mowen
parent 9d4aac2b8e
commit 1f9669bbe5
15 changed files with 240 additions and 126 deletions
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frigate/api/event.py
+29 -24
View File
@@ -1731,37 +1731,40 @@ def create_trigger_embedding(
if event.data.get("type") != "object":
return
if thumbnail := get_event_thumbnail_bytes(event):
cursor = context.db.execute_sql(
"""
SELECT thumbnail_embedding FROM vec_thumbnails WHERE id = ?
""",
[body.data],
# Get the thumbnail
thumbnail = get_event_thumbnail_bytes(event)
if thumbnail is None:
return JSONResponse(
content={
"success": False,
"message": f"Failed to get thumbnail for {body.data} for {body.type} trigger",
},
status_code=400,
)
row = cursor.fetchone() if cursor else None
# Try to reuse existing embedding from database
cursor = context.db.execute_sql(
"""
SELECT thumbnail_embedding FROM vec_thumbnails WHERE id = ?
""",
[body.data],
)
if row:
query_embedding = row[0]
embedding = np.frombuffer(query_embedding, dtype=np.float32)
row = cursor.fetchone() if cursor else None
if row:
query_embedding = row[0]
embedding = np.frombuffer(query_embedding, dtype=np.float32)
else:
# Extract valid thumbnail
thumbnail = get_event_thumbnail_bytes(event)
if thumbnail is None:
return JSONResponse(
content={
"success": False,
"message": f"Failed to get thumbnail for {body.data} for {body.type} trigger",
},
status_code=400,
)
# Generate new embedding
embedding = context.generate_image_embedding(
body.data, (base64.b64encode(thumbnail).decode("ASCII"))
)
if not embedding:
if embedding is None or (
isinstance(embedding, (list, np.ndarray)) and len(embedding) == 0
):
return JSONResponse(
content={
"success": False,
@@ -1896,7 +1899,9 @@ def update_trigger_embedding(
body.data, (base64.b64encode(thumbnail).decode("ASCII"))
)
if not embedding:
if embedding is None or (
isinstance(embedding, (list, np.ndarray)) and len(embedding) == 0
):
return JSONResponse(
content={
"success": False,