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Miscellaneous Fixes (0.17 beta) (#21396)

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* use fallback timeout for opening media source

covers the case where there is no active connection to the go2rtc stream and the camera takes a long time to start

* Add review thumbnail URL to integration docs

* fix weekday starting point on explore when set to monday in UI settings

* only show allowed cameras and groups in camera filter button

* Reset the wizard state after closing with model

* remove footnote about 0.17

* 0.17

* add triggers to note

* add slovak

* Ensure genai client exists

* Correctly catch JSONDecodeError

* clarify docs for none class

* version bump on updating page

* fix ExportRecordingsBody to allow optional name field

fixes https://github.com/blakeblackshear/frigate/discussions/21413 because of https://github.com/blakeblackshear/frigate-hass-integration/pull/1021

* Catch remote protocol error from ollama

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
This commit is contained in:
Josh Hawkins
2025-12-24 08:03:09 -06:00
committed by GitHub
parent f862ef5d0c
commit a4ece9dae3
14 changed files with 87 additions and 36 deletions
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6
docs/docs/configuration/custom_classification/object_classification.md
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@@ -39,7 +39,7 @@ For object classification:
:::note
A tracked object can only have a single sub label. If you are using Face Recognition and you configure an object classification model for `person` using the sub label type, your sub label may not be assigned correctly as it depends on which enrichment completes its analysis first. Consider using the `attribute` type instead.
A tracked object can only have a single sub label. If you are using Triggers or Face Recognition and you configure an object classification model for `person` using the sub label type, your sub label may not be assigned correctly as it depends on which enrichment completes its analysis first. Consider using the `attribute` type instead.
:::
@@ -89,9 +89,9 @@ Creating and training the model is done within the Frigate UI using the `Classif
### Step 1: Name and Define
Enter a name for your model, select the object label to classify (e.g., `person`, `dog`, `car`), choose the classification type (sub label or attribute), and define your classes. Include a `none` class for objects that don't fit any specific category.
Enter a name for your model, select the object label to classify (e.g., `person`, `dog`, `car`), choose the classification type (sub label or attribute), and define your classes. Frigate will automatically include a `none` class for objects that don't fit any specific category.
For example: To classify your two cats, create a model named "Our Cats" and create two classes, "Charlie" and "Leo". Create a third class, "none", for other neighborhood cats that are not your own.
For example: To classify your two cats, create a model named "Our Cats" and create two classes, "Charlie" and "Leo". A third class, "none", will be created automatically for other neighborhood cats that are not your own.
### Step 2: Assign Training Examples