* Add config fields
* Clean up camera default values
* Set recordings timezone with config if available
* Adjust for timezone config
* Cleanup setting of the timezone
* Don't fail on MSE check iPad
* Fix MSE check for birdseye
* Add docs
* Fix test
* Update readme features
* Remove RTMP setup from setup guide
* Update integration for RTSP
* Remove rtmp from faq
* Remove RTMP stream from guide
* Remove rtmp from install
* Remove rtmp from dev config
* 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.
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>
* 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>
* 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
* 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
* Add hwaccel presets
* Use hwaccel presets
* Add input arg presets
* Use input arg presets
* Make util to clean up redundant code
* Add support for output arg presets
* Add tests
* Update camera specific to use presets
* Update hwaccel to use presets
* Format files and fix tests
* Rewrite tests to test record correctly
* Move presets from string to list to avoid manually separating into a list
* Add mjpeg cuvid decoder preset
* Fix tests
* Fix comment
* Add option for mqtt config
* Setup communication layer
* Have a dispatcher which is responsible for handling and sending messages
* Move mqtt to communication
* Separate ws communications module
* Make ws client conform to communicator
* Cleanup imports
* Migrate to new dispatcher
* Clean up
* Need to set topic prefix
* Remove references to mqtt in dispatcher
* Don't start mqtt until dispatcher is subscribed
* Cleanup
* Shorten package
* Formatting
* Remove unused
* Cleanup
* Rename mqtt to ws on web
* Fix ws mypy
* Fix mypy
* Reformat
* Cleanup if/else chain
* Catch bad set commands
* Start restream before detection
* Add docs explaining how to reduce connections to the camera
* Fix typos for consistency
* Add link to other part of doc for readability
