* Update api.md
* Update api.md
* Added filter option for min/max score for event to API function /events
* Added filter for submitted events
* Update http.py
* don't zoom if camera doesn't support it
* basic zooming
* make zooming configurable
* zooming docs
* optional zooming in camera status
* Use absolute instead of relative zooming
* increase edge threshold
* zoom considering object area
* bugfixes
* catch onvif zooming errors
* relative zooming option for dahua/amcrest cams
* docs
* docs
* don't make small movements
* remove old logger statement
* fix small movements
* use enum in config for zooming
* fix formatting
* empty move queue first
* clear tracked object before waiting for stop
* use velocity estimation for movements
* docs updates
* add tests
* typos
* recalc every 50 moves
* adjust zoom based on estimate box if calibrated
* tweaks for fast objects and large movements
* use real time for calibration and add info logging
* docs updates
* remove area scale
* Add example video to docs
* zooming font header size the same as the others
* log an error if a ptz doesn't report a MoveStatus
* debug logging for onvif service capabilities
* ensure camera supports ONVIF MoveStatus
* Add args to ignore audio and only process keyframes
* Add timelapse args to config
* Update docs
* Formatting
* Fix spacing
* Fix formatting
* add example of math for pts
* add note about network bandwidth permissions
* Update default net int
* Set default network interfaces to empty
* Don't read interfaces if none are set
* Formatting
* Add stderr output
* 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
* Make main frigate build non rpi specific and build rpi using base image
* Add boards to sidebar
* Fix docker build
* Fix docs build
* Update pr branch for testing
* remove target from rpi build
* Remove manual build
* Add push build for rpi
* fix typos, improve wording
* Add arm build for rpi
* Cleanup and add default github ref name
* Cleanup docker build file system
* Setup to use docker bake
* Add ci/cd for bake
* Fix path
* Fix devcontainer
* Set targets
* Fix build
* Fix syntax
* Add wheels target
* Move dev container to trt
* Update key and fix rpi local
* Move requirements files and set intermediate targets
* Add back --load
* Update docs for community board development
* Update installation docs to reflect different builds available
* Update docs with official and community supported headers
* Update codeowners docs
* Update docs
* Assemble main and standard builds
* Change order of pushes
* Remove community board after successful build
* Fix rpi bake file names
