* Update to frigate+ documentation
Added shortcuts + advices for objects partly out of frame and the 'difficult' tag.
* Update docs/docs/plus/improving_model.md
* Update docs/docs/plus/improving_model.md
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Co-authored-by: Blake Blackshear <blake.blackshear@gmail.com>
* Update docs for alerts and event review
* Add docs for camera groups
* Update reference config with new config values
* Remove env variable requirement
* Add to sidebar
* Update snapshot docs
* add zones example to detection docs too
* Generalize the zone docs
* Update reference config to reflect new config
* Migrate 0.13 config to match 0.14 config style
* Overwrite existing config
* Adjust config schema to remove events required zones and include reviews
* Update object config to check correct required zones config
* Refactor reviews to remove motion and only create review segments in expected circumstances
* Cleanup
* Formatting
* Fix update ordering
* Update pydantic
* Remove rtmp references as part of migration
* Catch file not found for alert frame
* Clarify Proxmox LXC instructions
There is a lot of confusing information online. This provides some
simple general guidelines to help people get started.
* Update docs/docs/frigate/installation.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Reference #5773 instead of #1111
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* rename docker image tags in configuration docs for jetson, add correct image in sample codeblocks, fix typo in 'come'
The image names/tags for Jetson instructions were incorrect. I have updated the docs to point to the correct images.
* revert jetson docs phrasing to properly refer to Jetpack docker images
* Update installation.md
According to the v13 release the config.yml mapping needs to be the entire directory and not only the config.yml file
* Update docs/docs/frigate/installation.md
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Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* Update cameras.md
Tapo C220 added to ONVIF PTZ camera recommendations
* Update docs/docs/configuration/cameras.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Docs: Fix and clarify which /dev/video devices to use with Raspberry Pi
* Update docs/docs/configuration/hardware_acceleration.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Update docs/docs/configuration/hardware_acceleration.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Revise VSCode hostname info in docs
* Fix misplaced backtick
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* ROCm AMD/GPU based build and detector, WIP
* detectors/rocm: separate yolov8 postprocessing into own function; fix box scaling; use cv2.dnn.blobForImage for preprocessing; assert on required model parameters
* AMD/ROCm: add couple of more ultralytics models; comments
* docker/rocm: make imported model files readable by all
* docker/rocm: readme about running on AMD GPUs
* docker/rocm: updated README
* docker/rocm: updated README
* docker/rocm: updated README
* detectors/rocm: separated preprocessing functions into yolo_utils.py
* detector/plugins: added onnx cpu plugin
* docker/rocm: updated container with limite label sets
* example detectors view
* docker/rocm: updated README.md
* docker/rocm: update README.md
* docker/rocm: do not set HSA_OVERRIDE_GFX_VERSION at all for the general version as the empty value broke rocm
* detectors: simplified/optimized yolov8_postprocess
* detector/yolo_utils: indentation, remove unused variable
* detectors/rocm: default option to conserve cpu usage at the expense of latency
* detectors/yolo_utils: use nms to prefilter overlapping boxes if too many detected
* detectors/edgetpu_tfl: add support for yolov8
* util/download_models: script to download yolov8 model files
* docker/main: add download-models overlay into s6 startup
* detectors/rocm: assume models are in /config/model_cache/yolov8/
* docker/rocm: compile onnx files into mxr files at startup
* switch model download into bash script
* detectors/rocm: automatically override HSA_OVERRIDE_GFX_VERSION for couple of known chipsets
* docs: rocm detector first notes
* typos
* describe builds (harakas temporary)
* docker/rocm: also build a version for gfx1100
* docker/rocm: use cp instead of tar
* docker.rocm: remove README as it is now in detector config
* frigate/detectors: renamed yolov8_preprocess->preprocess, pass input tensor element type
* docker/main: use newer openvino (2023.3.0)
* detectors: implement class aggregation
* update yolov8 model
* add openvino/yolov8 support for label aggregation
* docker: remove pointless s6/timeout-up files
* Revert "detectors: implement class aggregation"
This reverts commit dcfe6bbf6f.
* detectors/openvino: remove class aggregation
* detectors: increase yolov8 postprocessing score trershold to 0.5
* docker/rocm: separate rocm distributed files into its own build stage
* Update object_detectors.md
* updated CODEOWNERS file for rocm
* updated build names for documentation
* Revert "docker/main: use newer openvino (2023.3.0)"
This reverts commit dee95de908.
* reverrted openvino detector
* reverted edgetpu detector
* scratched rocm docs from any mention of edgetpu or openvino
* Update docs/docs/configuration/object_detectors.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* renamed frigate.detectors.yolo_utils.py -> frigate.detectors.util.py
* clarified rocm example performance
* Improved wording and clarified text
* Mentioned rocm detector for AMD GPUs
* applied ruff formating
* applied ruff suggested fixes
* docker/rocm: fix missing argument resulting in larger docker image sizes
* docs/configuration/object_detectors: fix links to yolov8 release files
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Generate low res low fps previews for recordings viewer
* Make sure previews end on the hour
* Fix durations and decrase keyframe interval to ensure smooth scrubbing
* Ensure minimized resolution is compatible with yuv
* Add ability to configure preview quality
* Fix
* Clean up previews more efficiently
* Use iterator
* revamp plus docs
* consolidate label guidance
* add some common complete config examples
* clarify zone presence
* bottom center example of mask
* update recommended hardware
* update nav
* update getting started
* add openvino example
* explain why we track stationary objects
* move false positive guide to config folder
* fix link
* update record and parked car guide
* tweaks
* Add glossary with commonly used terms for frigate
* Link back to full docs pages
* Add glossary to sidebar
* Clarifications and grammar fixes
Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
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Co-authored-by: Blake Blackshear <blakeb@blakeshome.com>
* update docs to clarify variable substitution in go2rtc
* update to complet
* cleanup spacing
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Included caution about Snapcraft docker issues.
* Accepted format suggestion from NickM-27
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* support for other yolov models and config checks
* apply code formatting
* Information about core mask and inference speed
* update rknn postprocess and remove params
* update model selection
* Apply suggestions from code review
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* support rknn on all socs
* apply changes from review and fix post process bug
* apply code formatting
* update tip in object_detectors docs
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* support for other yolov models and config checks
* apply code formatting
* Information about core mask and inference speed
* update rknn postprocess and remove params
* update model selection
* Apply suggestions from code review
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add endpoint to restart Frigate
The only means of restarting Frigate remotely is to issue
a restart topic on the server's websocket. It's
convenient to also expose this capability via HTTP endpoint.
* Add new section to API docs
* Remove extra line
* prevent estimate clipping when autotracking
* use unclipped estimate in distance function only
* remove autotracking velocity changes
* publish on init
* optimize motion and velocity estimation
* change recommended fps and fix config validate
* remove unneeded var
* process at most 3 objects per second
* fix test
