administrator/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-09-26 20:58:58 +03:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

Merge detector and model in settings UI (#23216)

Browse Source 
* add embedded mode to BaseSection so parents can host the save action

* add optional action slot to current Frigate+ model summary

* add w-full to action slot flex wrapper for explicit width contract

* i18n

* merged detectors and model settings view

* fix document title

* Embed detector form in merged settings view

* add detection model card with tabs and custom model embed

* add Frigate+ model selector with filter popover to merged page

* Add mismatch banner and gate save on detector and model compatibility

* Wire atomic save, restart toast, and undo on detectors and model page

* Clear child pending data on undo

* route merged detectors and model view in settings

* trim Frigate+ page to account-only and remove old detection model view

* basic e2e

* Fix unsaved-changes guard, custom path leak, and post-failure cache resync

* Rename to Detectors and model, float Modified badge, use ConfigMessageBanner for mismatch

* Hide Plus/Custom tabs when Frigate+ is not enabled

* Detect active Plus model via model.plus.id instead of path prefix

* Sync state back to snapshot when child form un-modifies and remount on undo

* Always require restart on save since model changes also need one

* Wrap Frigate+ model selector in SplitCardRow with label and description

* rename tab

* update docs

* sync top-level model with default detector's resolved model

when the user doesn't define a top-level `model:` block, `FrigateConfig.model` stayed at pydantic field defaults (320×320, /labelmap.txt) while the per-detector model picked up `DEFAULT_MODEL` for openvino on cpu (300×300, coco_91cl_bkgr.txt introduced in #23127), causing `RemoteObjectDetector` to fail with "buffer is too small for requested array" because the SHM was sized from the per-detector model but mapped using the top-level one. After the detector loop, copy the first detector's resolved model up to `self.model` so both sides agree on dimensions and labelmap

* revert to cpu detector by default

use openvino cpu for new configs only

* add defaults
This commit is contained in:
Josh Hawkins
2026-05-17 11:54:21 -06:00
committed by GitHub
parent b712e1fbd9
commit 7413ce08d4
18 changed files with 1107 additions and 719 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/docs/guides/getting_started.md
+3 -3
View File
@@ -204,8 +204,8 @@ You need to refer to **Configure hardware acceleration** above to enable the con
<ConfigTabs>
<TabItem value="ui">
1. Navigate to <NavPath path="Settings > System > Detector hardware" /> and add a detector with **Type** `OpenVINO` and **Device** `GPU`
2. Navigate to <NavPath path="Settings > System > Detection model" /> and configure the model settings for OpenVINO:
1. Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `OpenVINO` and **Device** `GPU`
2. On the same page, in the **Custom Model** tab, configure the model settings for OpenVINO:
| Field | Value |
| ---------------------------------------- | ------------------------------------------ |
@@ -273,7 +273,7 @@ services:
<ConfigTabs>
<TabItem value="ui">
Navigate to <NavPath path="Settings > System > Detector hardware" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`.
Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`.
</TabItem>
<TabItem value="yaml">