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Code Issues Projects Releases Wiki Activity

Miscellaneous Fixes (#20866)

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* Don't warn when event ids have expired for trigger sync

* Import faster_whisper conditinally to avoid illegal instruction

* Catch OpenVINO runtime error

* fix race condition in detail stream context

navigating between tracked objects in Explore would sometimes prevent the object track from appearing

* Handle case where classification images are deleted

* Adjust default rounded corners on larger screens

* Improve flow handling for classification state

* Remove images when wizard is cancelled

* Improve deletion handling for classes

* Set constraints on review buffers

* Update to support correct data format

* Set minimum duration for recording based review items

* Use friendly name in review genai prompt

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
This commit is contained in:
Josh Hawkins
2025-11-10 11:03:56 -06:00
committed by GitHub
parent 99a363c047
commit c371fc0c87
20 changed files with 287 additions and 113 deletions
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37
frigate/api/classification.py
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@@ -595,9 +595,13 @@ def get_classification_dataset(name: str):
"last_training_image_count": 0,
"current_image_count": current_image_count,
"new_images_count": current_image_count,
"dataset_changed": current_image_count > 0,
}
else:
last_training_count = metadata.get("last_training_image_count", 0)
# Dataset has changed if count is different (either added or deleted images)
dataset_changed = current_image_count != last_training_count
# Only show positive count for new images (ignore deletions in the count display)
new_images_count = max(0, current_image_count - last_training_count)
training_metadata = {
"has_trained": True,
@@ -605,6 +609,7 @@ def get_classification_dataset(name: str):
"last_training_image_count": last_training_count,
"current_image_count": current_image_count,
"new_images_count": new_images_count,
"dataset_changed": dataset_changed,
}
return JSONResponse(
@@ -948,31 +953,29 @@ async def generate_object_examples(request: Request, body: GenerateObjectExample
dependencies=[Depends(require_role(["admin"]))],
summary="Delete a classification model",
description="""Deletes a specific classification model and all its associated data.
The name must exist in the classification models. Returns a success message or an error if the name is invalid.""",
Works even if the model is not in the config (e.g., partially created during wizard).
Returns a success message.""",
)
def delete_classification_model(request: Request, name: str):
config: FrigateConfig = request.app.frigate_config
if name not in config.classification.custom:
return JSONResponse(
content=(
{
"success": False,
"message": f"{name} is not a known classification model.",
}
),
status_code=404,
)
sanitized_name = sanitize_filename(name)
# Delete the classification model's data directory in clips
data_dir = os.path.join(CLIPS_DIR, sanitize_filename(name))
data_dir = os.path.join(CLIPS_DIR, sanitized_name)
if os.path.exists(data_dir):
shutil.rmtree(data_dir)
try:
shutil.rmtree(data_dir)
logger.info(f"Deleted classification data directory for {name}")
except Exception as e:
logger.debug(f"Failed to delete data directory for {name}: {e}")
# Delete the classification model's files in model_cache
model_dir = os.path.join(MODEL_CACHE_DIR, sanitize_filename(name))
model_dir = os.path.join(MODEL_CACHE_DIR, sanitized_name)
if os.path.exists(model_dir):
shutil.rmtree(model_dir)
try:
shutil.rmtree(model_dir)
logger.info(f"Deleted classification model directory for {name}")
except Exception as e:
logger.debug(f"Failed to delete model directory for {name}: {e}")
return JSONResponse(
content=(