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Code Issues Actions 2 Packages Projects Releases Wiki Activity

Fixes (#18139)

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* Catch error and show toast when failing to delete review items

* i18n keys

* add link to speed estimation docs in zone edit pane

* Implement reset of tracked object update for each camera

* Cleanup

* register mqtt callbacks for toggling alerts and detections

* clarify snapshots docs

* clarify semantic search reindexing

* add ukrainian

* adjust date granularity for last recording time

The api endpoint only returns granularity down to the day

* Add amd hardware

* fix crash in face library on initial start after enabling

* Fix recordings view for mobile landscape

The events view incorrectly was displaying two columns on landscape view and it only took up 20% of the screen width. Additionally, in landscape view the timeline was too wide (especially on iPads of various screen sizes) and would overlap the main video

* face rec overfitting instructions

* Clarify

* face docs

* clarify

* clarify

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
This commit is contained in:
Josh Hawkins
2025-05-11 12:03:53 -06:00
committed by GitHub
co-authored by Nicolas Mowen
parent 8094dd4075
commit f39ddbc00d
21 changed files with 130 additions and 25 deletions
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docs/docs/configuration/semantic_search.md
+4 -4
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@@ -19,7 +19,7 @@ For best performance, 16GB or more of RAM and a dedicated GPU are recommended.
## Configuration
Semantic Search is disabled by default, and must be enabled in your config file or in the UI's Settings page before it can be used. Semantic Search is a global configuration setting.
Semantic Search is disabled by default, and must be enabled in your config file or in the UI's Classification Settings page before it can be used. Semantic Search is a global configuration setting.
```yaml
semantic_search:
@@ -29,9 +29,9 @@ semantic_search:
:::tip
The embeddings database can be re-indexed from the existing tracked objects in your database by adding `reindex: True` to your `semantic_search` configuration or by toggling the switch on the Search Settings page in the UI and restarting Frigate. Depending on the number of tracked objects you have, it can take a long while to complete and may max out your CPU while indexing. Make sure to turn the UI's switch off or set the config back to `False` before restarting Frigate again.
The embeddings database can be re-indexed from the existing tracked objects in your database by pressing the "Reindex" button in the Classification Settings in the UI or by adding `reindex: True` to your `semantic_search` configuration and restarting Frigate. Depending on the number of tracked objects you have, it can take a long while to complete and may max out your CPU while indexing.
If you are enabling Semantic Search for the first time, be advised that Frigate does not automatically index older tracked objects. You will need to enable the `reindex` feature in order to do that.
If you are enabling Semantic Search for the first time, be advised that Frigate does not automatically index older tracked objects. You will need to reindex as described above.
:::
@@ -72,7 +72,7 @@ For most users, especially native English speakers, the V1 model remains the rec
:::note
Switching between V1 and V2 requires reindexing your embeddings. To do this, set `reindex: True` in your Semantic Search configuration and restart Frigate. The embeddings from V1 and V2 are incompatible, and failing to reindex will result in incorrect search results.
Switching between V1 and V2 requires reindexing your embeddings. The embeddings from V1 and V2 are incompatible, and failing to reindex will result in incorrect search results.
:::