* Add in_progress parameter to /api/events to filter the results.
* Change in_progress to default to no filtering, 0 means no in progress, 1 means only in progress.
* Fix code format with black.
* Clear blank line.
* Add missing labels to default labelmap. Fill any holes with "unknown". Remove unique labelmap for tensorrt.
* Replace "truck" with "car" on Openvino labelmap
* check stream specific hwaccel_args for gpu stats
* fix indentation
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* check special chars for linter
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add video codec to restream config
* Add handling of encode engine and video codec
* Add test for video encoding
* Set in main configuration docs as well
* Add example to restream docs
* Put back patch
* [API] filter for favorite events
* Added /api/events filter for favorite (retain_indefinitely) events
* New Star button to filter for favorite events on the Events page
* fix python formatting
* keep Events favorite button to right side
* Try using RTSP for restream
* Add ability to get snapshot of birdseye when birdseye restream is enabled
* Write to pipe instead of encoding mpeg1
* Write to cache instead
* Use const for location
* Formatting
* Add hardware encoding for birdseye based on ffmpeg preset
* Provide framerate
* Adjust args
* Fix order
* Delete pipe file if it exists
* Cleanup spacing
* Fix spacing
* Initial WIP dockerfile and scripts to add tensorrt support
* Add tensorRT detector
* WIP attempt to install TensorRT 8.5
* Updates to detector for cuda python library
* TensorRT Cuda library rework WIP
Does not run
* Fixes from rebase to detector factory
* Fix parsing output memory pointer
* Handle TensorRT logs with the python logger
* Use non-async interface and convert input data to float32. Detection runs without error.
* Make TensorRT a separate build from the base Frigate image.
* Add script and documentation for generating TRT Models
* Add support for TensorRT devcontainer
* Add labelmap to trt model script and docs. Cleanup of old scripts.
* Update detect to normalize input tensor using model input type
* Add config for selecting GPU. Fix Async inference. Update documentation.
* Update some CUDA libraries to clean up version warning
* Add CI stage to build TensorRT tag
* Add note in docs for image tag and model support
* Write files in UTC and update folder structure to not conflict
* Add timezone arg for events summary
* Fixes for timezone in calls
* Use timezone for recording and recordings summary endpoints
* Fix sqlite parsing
* Fix sqlite parsing
* Fix recordings summary with timezone
* Fix
* Formatting
* Add pytz
* Fix default timezone
* Add note about times being displayed in localtime
* Improve timezone wording and show actual timezone
* Add alternate endpoint to cover existing usecase to avoid breaking change
* Formatting
* Catch when recording segments are not being written to cache and restart ffmpeg responsible for record
* Ensure this check is only run for role with record
* Fix formatting
* Redo recordings validator to watch segments time and restart if no segment for 30 seconds
* Formatting
* Increase wait time to 120 seconds and improve error message
* Add more config checks for record args and add test
* Formatting
* Specify output args.
* Log all services to RAM
* Gracefully handle shutdown
* Add logs route
* Remove tail
* Return logs for services
* Display log chooser with copy button
* show logs for specific services
* Clean up settings logs
* Add copy functionality to logs
* Add copy functionality to logs
* Fix merge
* Set archive count to 0
Co-authored-by: Felipe Santos <felipecassiors@gmail.com>
* Add raw config endpoint
* Add config editor
* Add code editor
* Add error
* Add ability to copy config
* Only show the save button when code has been edited
* Update errors
* Remove debug config from system page
* Break out config saving steps to pinpoint where error occurred.
* Show correct config errors
* Switch to monaco editor
* Adjust UI colors and behavior
* Get yaml validation working
* Set success color
* Initial work for adding OpenVino detector. Not functional
* Load model and submit for inference.
Sucessfully load model and initialize OpenVino engine with either CPU or GPU as device.
Does not parse results for objects.
* Detection working with ssdlite_mobilenetv2 FP16 model
* Add OpenVIno support and model to docker image
* Add documentation for OpenVino detector configuration
* Adds support for ARM32/ARM64 and the Myriad X hardware
- Use custom-built openvino wheel for all platforms
- Add libusb build without udev for NCS2 support
* Add documentation around Intel CPU requirements and NCS2 setup
* Print all available output tensors
* Update documentation for config parameters
