* tweak language
* show validation errors in json response
* fix export hwaccel args field in UI
* increase annotation offset consts
* fix save button race conditions, add reset spinner, and fix enrichments profile leak
- Disable both Save and SaveAll buttons while either operation is in progress so users cannot trigger concurrent saves
- Show activity indicator on Reset to Default/Global button during the API call
- Enrichments panes (semantic search, genai, face recognition) now always show base config fields regardless of profile selection in the header dropdown
* fix genai additional_concerns validation error with textarea array widget
The additional_concerns field is list[str] in the backend but was using the textarea widget which produces a string value, causing validation errors.
Created a TextareaArrayWidget that converts between array (one item per line) and textarea display, and switched additional_concerns to use it
* populate and sort global audio filters for all audio labels
* add column labels in profiles view
* enforce a minimum value of 2 for min_initialized
* reuse widget and refactor for multiline
* fix
* change record copy preset to transcode audio to aac
parse_preset_input() uses input[len(_user_agent_args) + 1] to find
the FPS placeholder, but preset-http-jpeg-generic does not include
_user_agent_args at the start of its list (only preset-http-mjpeg-generic
does). The FPS placeholder '{}' is at index 1, not index 3.
This means the detect_fps value overwrites '-1' (the stream_loop
argument) instead of the '{}' FPS placeholder, so the preset always
uses the literal string '{}' as the framerate.
When hwaccel_args is a list (not a preset string), the fallback in
parse_preset_hardware_acceleration_encode() calls
arg_map["default"].format(input, output) with only 2 positional args.
But PRESETS_HW_ACCEL_ENCODE_BIRDSEYE["default"] contains {0}, {1}, {2}
expecting ffmpeg_path as the first arg.
This causes IndexError: Replacement index 2 out of range for size 2
which crashes create_config.py on every go2rtc start, taking down
all camera streams.
Pass ffmpeg_path as the first argument to match the preset template.
gpu <= len(self._valid_gpus) should be gpu < len(self._valid_gpus).
The list is zero-indexed, so requesting gpu index equal to the list
length causes an IndexError. For example, with 2 valid GPUs (indices
0 and 1), requesting gpu=2 passes the check (2 <= 2) but
self._valid_gpus[2] is out of bounds.
* Wait for config to load before evaluating route access
Fix race condition where custom role users are temporarily denied access after login while config is still loading. Defer route rendering in DefaultAppView until config is available so the complete role list is known before ProtectedRoute evaluates permissions
* Use batching for state classification generation
* Ignore incorrect scoring images if they make it through the deletion
* Delete unclassified images
* mitigate tensorflow atexit crash by pre-importing tflite/tensorflow on main thread
Pre-import Interpreter in embeddings maintainer and add defensive lazy imports in classification processors to avoid worker-thread tensorflow imports causing "can't register atexit after shutdown"
* don't require old password for users with admin role when changing passwords
* don't render actions menu if no options are available
* Remove hwaccel arg as it is not used for encoding
* change password button text
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Fix Safari popover issue in classification wizard
* use name for key instead of title
prevents duplicate key warnings when users mix vaapi and qsv
* update auth api endpoint descriptions and docs
* tweak headings
* fix note
* clarify classification docs
* Fix cuda birdseye
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Fix Norwegian language code for date-fns module import
* Fix incorrect apple compatibility change
* Add other and unused as separate storage items
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
FFmpeg adds an extra delay for the first start of the stream. For some cameras the stream start can be 1 second, for some cameras it can be more than 5 seconds. Frigate by default used a timeout of 5 seconds and drops the connection without waiting for a response from go2rtc. Originally suggested by @AlexxIT in https://github.com/AlexxIT/go2rtc/issues/1633
* Improve ffmpeg versions handling
* Remove fallback from LIBAVFORMAT_VERSION_MAJOR, it should always be set
* Mention ffprobe in custom ffmpeg docs
* Fix ffmpeg extraction
* Fix go2rtc example formatting
* Add fallback back to LIBAVFORMAT_VERSION_MAJOR
* Fix linter
* Install multiple ffmpeg versions and add config to make it configurable
* Update docs
* Run ffprobe too
* Cleanup
* Apply config to go2rtc as well
* Fix ffmpeg bin
* Docs
* Restore path
* Cleanup env var
* Fix ffmpeg path for encoding
* Fix export
* Formatting
* Revert "Use latest 5.1 ffmpeg update (#12243)"
This reverts commit 93e08688be.
* Revert "Change qsv device arg to standard hwaccel arg (#12249)"
This reverts commit 56b4a551dc.
* Use different repo for build
* Use zmq for inter process communication
* Use localhost for reply and request
* Use pyobj instead of json and Need to use separate requestors for each audio listener
* Cleanup port defining
* Generate low res low fps previews for recordings viewer
* Make sure previews end on the hour
* Fix durations and decrase keyframe interval to ensure smooth scrubbing
* Ensure minimized resolution is compatible with yuv
* Add ability to configure preview quality
* Fix
* Clean up previews more efficiently
* Use iterator
* Non-Jetson changes
Required for later commits:
- Allow base image to be overridden (and don't assume its WORKDIR)
- Ensure python3.9
- Map hwaccel decode presets as strings instead of lists
Not required:
- Fix existing documentation
- Simplify hwaccel scale logic
* Prepare for multi-arch tensorrt build
* Add tensorrt images for Jetson boards
* Add Jetson ffmpeg hwaccel
* Update docs
* Add CODEOWNERS
* CI
* Change default model from yolov7-tiny-416 to yolov7-320
In my experience the tiny models perform markedly worse without being
much faster
* fixup! Update docs
