* reduce contention on frame_queue
don't check if the queue is full, just attempt to add the frame
in a non-blocking manner, and then if it fails, skip it
* don't check if the frame queue is empty, just try and get from it
* Update frigate/video.py
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
---------
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* Refactored queues to use faster_fifo instead of mp.Queue
* Refactored LimitedQueue to include a counter for the number of items in the queue and updated put and get methods to use the counter
* Refactor app.py and util.py to use a custom Queue implementation called LQueue instead of the existing Queue
* Refactor put and get methods in LimitedQueue to handle queue size and blocking behavior more efficiently
* code format
* remove code from other branch (merging fuckup)
* Check ffmpeg version instead of checking for presence of BTBN_PATH
* Query ffmpeg version in s6 run script instead of subprocessing in every import
* Define LIBAVFORMAT_VERSION_MAJOR in devcontainer too
* Formatting
* Default ffmpeg version to current btbn version so unit tests pass
* Reduce framerate before downscaling
It is cheaper to drop frames and downscale those that remain than it is
to downscale all frames and then drop some of them. This is achieved
with the filter chain `-cv fps=FPS,scale=W:H`, and perhaps was the
original intention. The plain `-r` and `-s` flags do not execute in
order though - they each put themselves at the *end* of the filterchain,
so `-r FPS -s WxH` actually applies the scale filter first, and then the
rate filter.
This fix can halve the CPU used by the detect ffmpeg process.
* Bring back hard rate limits
* Force birdseye cameras into standard aspect ratios
* Clarify comment
* Formatting
* Actually use the calculated aspect ratio when building the layout
* Fix Y aspect
* Force canvas into known aspect ratio as well
* Save canvas size and don't recalculate
* Cache coefficients that are used for different size layouts
* Further optimize calculations to not be done multiple times
* Add audio process PID to the list of processes and log the start of the audio process
* Update audio process PID key in processes dictionary to "audioDetector" instead of "audio".
* Scale layout up to max size after it has been calculated
* Limit portrait cameras to taking up 2 rows
* Fix bug
* Fix birdsye not removing cameras once objects are no longer visible
* Fix lint
* Initial audio classification model implementation
* fix mypy
* Keep audio labelmap local
* Cleanup
* Start adding config for audio
* Add the detector
* Add audio detection process keypoints
* Build out base config
* Load labelmap correctly
* Fix config bugs
* Start audio process
* Fix startup issues
* Try to cleanup restarting
* Add ffmpeg input args
* Get audio detection working
* Save event to db
* End events if not heard for 30 seconds
* Use not heard config
* Stop ffmpeg when shutting down
* Fixes
* End events correctly
* Use api instead of event queue to save audio events
* Get events working
* Close threads when stop event is sent
* remove unused
* Only start audio process if at least one camera is enabled
* Add const for float
* Cleanup labelmap
* Add audio icon in frontend
* Add ability to toggle audio with mqtt
* Set initial audio value
* Fix audio enabling
* Close logpipe
* Isort
* Formatting
* Fix web tests
* Fix web tests
* Handle cases where args are a string
* Remove log
* Cleanup process close
* Use correct field
* Simplify if statement
* Use var for localhost
* Add audio detectors docs
* Add restream docs to mention audio detection
* Add full config docs
* Fix links to other docs
---------
Co-authored-by: Jason Hunter <hunterjm@gmail.com>
* Clean up docs given HA addon storage support
* Add guide for using HA network storage
* Add to sidebar
* Specify that media type needs to be used
* Link to storage guide from install docs
* Instruct users to store DB in /config
* Update ha_network_storage.md
* Recommend that data is moved or deleted
* Add ccache to libusb and nginx build scripts
* Add ccache support to Dockerfile for faster builds
* Add ccache to PATH and use it for compiling nginx with Makefile in build_nginx.sh script
* use a different method for blur and contrast to reduce CPU
* blur with radius instead
* use faster interpolation for motion
* improve contrast based on averages
* increase default threshold to 30
* ensure mask is applied after contrast improvement
* update opencv
* update benchmark script
* Show overlay when hovering on timeline box
* Make it work with mobile too
* Fix lint
* Fix ratio
* Update web/src/components/TimelineEventOverlay.jsx
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* Show overlay when hovering on timeline box
* Make it work with mobile too
* Fix lint
* Fix ratio
* Remove label and make overlay respect selected theme
---------
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* configurable ffmpeg timeout
* configurable ffmpeg healthcheck interval
rename timeout to healthcheck_interval
only grab config value once
* configurable ffmpeg retry interval
rename healthcheck_interval to retry_interval
* add retry_interval to docs
- update retry_interval text in config.py
* optimize frame-per-second calculations
FPS is never calculated over differing periods for even given
counter. By only storing timestamps within the period that is
used, we avoid having to iterate 1000 entries every time it's
re-calculated (multiple times per second). 1000 entries would
normally only be needed if something is running at 100fps. A
more common speed - anywhere from 5 to 30fps, only needs 50
to 300 entries.
This isn't a huge improvement in the grand scheme, but when motion
detection is disabled, it takes nearly as much time in a flamegraph
as actually transferring the video frame.
* fix python checks
* Load labels dynamically to include custom events and audio, do not include attribute labels
* Formatting
* Fix sorting
* Also filter tracked object list on camera page
* isort
* Don't fail before load
* pass attribute labels as attributes
* add label attrs to events and snapshots
* incorporate area of license_plate and face into snapshot selection
* populate sublabels for cars with logos
* Make camera recordings mover asynchronous
* Formatting
* Move to using cv2 instead of external ffmpeg process
* Use ffprobe if cv2 failed
* Formatting
* Fix bad access
* Formatting
* Update frigate/record/maintainer.py
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* Update name of caller
---------
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* Prefer horizontal layout to vertical
* Rewrite birdseye to use aspect ratios instead of resolutions as layout configurator
* Improve layout with slightly larger than 16:9 cameras
* Remove manual 2 camera layout
* Lint
* Remove log
* Refactor date and time initialization in Export.jsx to use local timezone
* Update error message to include specific reason for failure in Export.jsx
