The link to the home assistant integration documentation was missing the leading slash which caused the path to be appended to the `/frigate` path of this page.
* Add missing labels to default labelmap. Fill any holes with "unknown". Remove unique labelmap for tensorrt.
* Replace "truck" with "car" on Openvino labelmap
* Add tables for ffmpeg presets and how to use them
* Make it clear that ffmepg processes may not show when nvidia-smi is run inside the container
* Add specific example of mixed input arg presets
* Update docs/docs/configuration/ffmpeg_presets.md
Co-authored-by: Nate Meyer <Nate.Devel@gmail.com>
* typos
Co-authored-by: Nate Meyer <Nate.Devel@gmail.com>
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* Remove branch from URL to tensorrt_models.sh
* Reword to make TensorRT model singular
* Add note about installing nvidia docker runtime and compatible drivers
* add information about frigate plus to docs
* Update docs/docs/integrations/plus.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* 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
* Update recommended hardware page to reflect multiple detectors are supproted
* Shift numbers around slightly
* Update with specific range
* Update with new observed range
* Add i5 example
Co-authored-by: Nate Meyer <Nate.Devel@gmail.com>
* Should support arm32 as well
Co-authored-by: Nate Meyer <Nate.Devel@gmail.com>
* Add more detail to supported platforms
* Fix typo
* Format table
* Fix table header
* Add info about tensorrt detectors and link to docs
* Add info about tensorrt detectors and link to docs
Co-authored-by: Nate Meyer <Nate.Devel@gmail.com>
* [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
* [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
