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Miscellaneous fixes (0.18 beta) (#23892)
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* update network requirements docs for keras weights download

* fix manual PTZ relative moves permanently stopping object detection

* document available camera set features and link profiles docs to the API

* fix stale stream name field when switching cameras

The live streams and known plates fields rendered the map key as an uncontrolled input, so switching cameras left the previous camera's stream name on screen and would rename the wrong key if that stale text was committed. Both now use a shared MapKeyInput that resyncs with the form data and commits per keystroke, except while the typed name belongs to another entry, so the section is marked modified without waiting for blur.
This commit is contained in:
Josh Hawkins
2026-08-03 08:18:28 -05:00
committed by GitHub
parent 4f2a297745
commit 3b14ec0c87
13 changed files with 544 additions and 32 deletions
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docs/docs/configuration/custom_classification/object_classification.md
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@@ -11,7 +11,7 @@ Object classification allows you to train a custom MobileNetV2 classification mo
:::info
Training a custom object classification model requires a one-time internet connection to download MobileNetV2 base weights. Once trained, the model runs fully offline. See [Network Requirements](/frigate/network_requirements#one-time-model-downloads) for details.
Training a custom object classification model requires an internet connection to download MobileNetV2 base weights. By default these weights are not cached in `/config/`, so they are downloaded again after the container is recreated. Once trained, the model runs fully offline. See [Network Requirements](/frigate/network_requirements#one-time-model-downloads) for details.
:::
docs/docs/configuration/custom_classification/state_classification.md
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@@ -11,7 +11,7 @@ State classification allows you to train a custom MobileNetV2 classification mod
:::info
Training a custom state classification model requires a one-time internet connection to download MobileNetV2 base weights. Once trained, the model runs fully offline. See [Network Requirements](/frigate/network_requirements#one-time-model-downloads) for details.
Training a custom state classification model requires an internet connection to download MobileNetV2 base weights. By default these weights are not cached in `/config/`, so they are downloaded again after the container is recreated. Once trained, the model runs fully offline. See [Network Requirements](/frigate/network_requirements#one-time-model-downloads) for details.
:::
docs/docs/configuration/profiles.md
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@@ -126,7 +126,7 @@ Only the fields you explicitly set in a profile override are applied. All other
## Activating Profiles
Profiles can be activated and deactivated via the Frigate UI, [MQTT](/integrations/mqtt#frigateprofileset), or the Home Assistant integration.
Profiles can be activated and deactivated via the Frigate UI, [MQTT](/integrations/mqtt#frigateprofileset), the [HTTP API](../integrations/api/camera-set-camera-camera-name-set-feature-sub-command-put.api.mdx), or the Home Assistant integration.
In the Frigate UI, open the Settings cog and select **Profiles** from the submenu to see all defined profiles. From there you can activate any profile or deactivate the current one. The active profile is indicated in the UI so you always know which profile is in effect.