Miscellaneous fixes (#20833)

* remove frigate+ icon from explore grid footer

* add margin

* pointer cursor on event menu items in detail stream

* don't show submit to plus for non-objects and if plus is disabled

* tweak spacing in annotation settings popover

* Fix deletion of classification images and library

* Ensure after creating a class that things are correct

* Fix dialog getting stuck

* Only show the genai summary popup on mobile when timeline is open

* fix audio transcription embedding

* spacing

* hide x icon on restart sheet to prevent closure issues

* prevent x overflow in detail stream on mobile safari

* ensure name is valid for search effect trigger

* add trigger to detail actions menu

* move find similar to actions menu

* Use a column layout for MobilePageContent in PlatformAwareSheet

 This is so the header is outside the scrolling area and the content can grow/scroll independently. This now matches the way it's done in classification

* Skip azure execution provider

* add optional ref to always scroll to top

the more filters in explore was not scrolled to the top on open due to the use of framer motion

* fix title classes on desktop

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
This commit is contained in:
Josh Hawkins
2025-11-07 07:53:27 -06:00
committed by GitHub
parent a15399fed5
commit 530b69b877
22 changed files with 249 additions and 237 deletions

View File

@@ -662,8 +662,11 @@ def delete_classification_dataset_images(
if os.path.isfile(file_path):
os.unlink(file_path)
if os.path.exists(folder) and not os.listdir(folder):
os.rmdir(folder)
return JSONResponse(
content=({"success": True, "message": "Successfully deleted faces."}),
content=({"success": True, "message": "Successfully deleted images."}),
status_code=200,
)
@@ -723,7 +726,7 @@ def categorize_classification_image(request: Request, name: str, body: dict = No
os.unlink(training_file)
return JSONResponse(
content=({"success": True, "message": "Successfully deleted faces."}),
content=({"success": True, "message": "Successfully categorized image."}),
status_code=200,
)
@@ -761,7 +764,7 @@ def delete_classification_train_images(request: Request, name: str, body: dict =
os.unlink(file_path)
return JSONResponse(
content=({"success": True, "message": "Successfully deleted faces."}),
content=({"success": True, "message": "Successfully deleted images."}),
status_code=200,
)