* Subclass Process for audio_process
* Introduce custom mp.Process subclass
In preparation to switch the multiprocessing startup method away from
"fork", we cannot rely on os.fork cloning the log state at fork time.
Instead, we have to set up logging before we run the business logic of
each process.
* Make camera_metrics into a class
* Make ptz_metrics into a class
* Fixed PtzMotionEstimator.ptz_metrics type annotation
* Removed pointless variables
* Do not start audio processor when no audio cameras are configured
* Portal tooltips
* Add ability to time_range filter chroma searches
* centering and padding consistency
* add event id back to chroma metadata
* query sqlite first and pass those ids to chroma for embeddings search
* ensure we pass timezone to the api call
* remove object lifecycle from search details for non-object events
* simplify hour calculation
* fix query without filters
* bump chroma version
* chroma 0.5.7
* fix selecting camera group in cameras filter button
* Add ability to restrict genai to labels and zones at the camera level
* fix comment
* clarify docs
* use objects instead of labels
* docs
* object list
* POC: Added FastAPI with one endpoint (get /logs/service)
* POC: Revert error_log
* POC: Converted preview related endpoints to FastAPI
* POC: Converted two more endpoints to FastAPI
* POC: lint
* Convert all media endpoints to FastAPI. Added /media prefix (/media/camera && media/events && /media/preview)
* Convert all notifications API endpoints to FastAPI
* Convert first review API endpoints to FastAPI
* Convert remaining review API endpoints to FastAPI
* Convert export endpoints to FastAPI
* Fix path parameters
* Convert events endpoints to FastAPI
* Use body for multiple events endpoints
* Use body for multiple events endpoints (create and end event)
* Convert app endpoints to FastAPI
* Convert app endpoints to FastAPI
* Convert auth endpoints to FastAPI
* Removed flask app in favour of FastAPI app. Implemented FastAPI middleware to check CSRF, connect and disconnect from DB. Added middleware x-forwared-for headers
* Added starlette plugin to expose custom headers
* Use slowapi as the limiter
* Use query parameters for the frame latest endpoint
* Use query parameters for the media snapshot.jpg endpoint
* Use query parameters for the media MJPEG feed endpoint
* Revert initial nginx.conf change
* Added missing even_id for /events/search endpoint
* Removed left over comment
* Use FastAPI TestClient
* severity query parameter should be a string
* Use the same pattern for all tests
* Fix endpoint
* Revert media routers to old names. Order routes to make sure the dynamic ones from media.py are only used whenever there's no match on auth/etc
* Reverted paths for media on tsx files
* Deleted file
* Fix test_http to use TestClient
* Formatting
* Bind timeline to DB
* Fix http tests
* Replace filename with pathvalidate
* Fix latest.ext handling and disable uvicorn access logs
* Add cosntraints to api provided values
* Formatting
* Remove unused
* Remove unused
* Get rate limiter working
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Moved FrigateApp.init_config() into FrigateConfig.load()
* Move frigate config loading into main
* Store PlusApi in FrigateConfig
* Register SIGTERM handler in main
* Ensure logging is setup during config parsing
* Removed pointless try
* Moved config initialization out of FrigateApp
* Made FrigateApp.shm_frame_count into a function
* Removed log calls from signal handlers
python's logging calls are not re-entrant, which caused at least one of
these to deadlock randomly.
* Reopen stdout/err on process fork
This helps avoid deadlocks (https://github.com/python/cpython/issues/91776).
* Make mypy happy
* Whoops. I might have forgotten to save.
Truly an amateur mistake.
* Always call FrigateApp.stop()
* Ignore entire __pycache__ folder instead of individual *.pyc files
* Ignore .mypy_cache in git
* Rework config YAML parsing to use only ruamel.yaml
PyYAML silently overrides keys when encountering duplicates, but ruamel
raises and exception by default. Since we're already using it elsewhere,
dropping PyYAML is an easy choice to make.
* Added EnvString in config to slim down runtime_config()
* Added gitlens to devcontainer
* Automatically call FrigateConfig.runtime_config()
runtime_config needed to be called manually before. Now, it's been
removed, but the same code is run by a pydantic validator.
* Fix handling of missing -segment_time
* Removed type annotation on FrigateConfig's parse
I'd like to keep them, but then mypy complains about some fundamental
errors with how the pydantic model is structured. I'd like to fix it,
but I'd rather work towards moving some of this config to the database.
* add event_id param to api
* exclude query from filtertype
* update review pane link for similarity search
* update filter group for similarity param and fix switch bug
* unneeded prop
* update query and input for similarity search param
* use undefined instead of empty string for query with similarity search
* Implement ROCm detectors
* Cleanup tensor input
* Fixup image creation
* Add support for yolonas in onnx
* Get build working with onnx
* Update docs and simplify config
* Remove unused imports
* Ignore entire __pycache__ folder instead of individual *.pyc files
* Rewrite the yaml loader to match PyYAML
The old implementation would fail in weird ways with configs that were
incorrect in just the right way. The new implementation just does what
PyYAML would do, only diverging in case of duplicate keys.
* Clarify duplicate yaml key ValueError message
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Set caching options for hardware providers
* Always use CPU for searching
* Use new install strategy to remove onnxruntime and then install post wheels
* Make logging code self-contained.
Rewrite logging code to use python's builting QueueListener, effectively
moving the logging process into a thread of the Frigate app.
Also, wrap this behaviour in a easy-to-use context manager to encourage
some consistency.
* Fixed typing errors
* Remove todo note from log filter
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Do not access log record's msg directly
* Clear all root handlers before starting app
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add support for yolonas in onnx
* Add correct deps
* Set ld library path
* Refactor cudnn to only be used in amd64
* Add onnx to docs and add explainer at the top
* Undo change
* Update comment
* Remove uneccesary
* Remove line change
* Install multiple ffmpeg versions and add config to make it configurable
* Update docs
* Run ffprobe too
* Cleanup
* Apply config to go2rtc as well
* Fix ffmpeg bin
* Docs
* Restore path
* Cleanup env var
* Fix ffmpeg path for encoding
* Fix export
* Formatting
* Object lifecycle pane
* fix thumbnails and annotation offset math
* snapshot endpoint height and format, yaml types, bugfixes
* clean up for new type
* use get_image_from_recording in recordings snapshot api
* make height optional
* Initial implementation of active object counters. Need to clean up a bit more and examine reuse of stationary/active logic in neighboring modules.
* A bit more cleanup for references to active, referencing the tracked object method rather than duplicating logic.
* Minor formatting and readability cleanup
* Update docs with the new active mqtt metric definition.
* Move the check for a change in active status into the code block protected by a false positive check.
* - Add 'active' to the tracked object dictionary, use the previous object for active comparison.
- I also missed emitting updates when a tracked object is no longer tracked, and added handling for emitting zeros on object types.
* Refactor recordings config to be based off of review items
* Update object processing logic for when an event is created
* Migrate to deciding recording retention based on review items
* Refactor recording expiration to be based off of review items
* Remove remainder of recording events access
* Handle migration automatically
* Update version and cleanup
* Update docs
* Clarify docs
* Cleanup
* Target camera config
* Safely access all fields
* Handle case where camera is offline when generating previews
* Don't rely on slow system
* Simplify checks to rely on other cameras
* Formatting
* Cleanup
* Initial support for Hailo-8L
Added file for Hailo-8L detector including dockerfile, h8l.mk, h8l.hcl, hailo8l.py, ci.yml and ssd_mobilenat_v1.hef as the inference network.
Added files to help with the installation of Hailo-8L dependences like generate_wheel_conf.py, requirements-wheel-h8l.txt and modified setup.py to try and work with any hardware.
Updated docs to reflect Initial Hailo-8L support including oject_detectors.md, hardware.md and installation.md.
* Update .github/workflows/ci.yml
typo h8l not arm64
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Update docs/docs/configuration/object_detectors.md
Clarity for the end user and correct uses of words
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Update docs/docs/frigate/installation.md
typo
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* update Installation.md to clarify Hailo-8L installation process.
* Update docs/docs/frigate/hardware.md
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update hardware.md add Inference time.
* Oops no new line at the end of the file.
* Update docs/docs/frigate/hardware.md typo
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Update dockerfile to download the ssd_modilenet_v1 model instead of having it in the repo.
* Updated dockerfile so it dose not download the model file.
add function to download it at runtime.
update model path.
* fix formatting according to ruff and removed unnecessary functions.
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Initial re-implementation of semantic search
* put docker-compose back and make reindex match docs
* remove debug code and fix import
* fix docs
* manually build pysqlite3 as binaries are only available for x86-64
* update comment in build_pysqlite3.sh
* only embed objects
* better error handling when genai fails
* ask ollama to pull requested model at startup
* update ollama docs
* address some PR review comments
* fix lint
* use IPC to write description, update docs for reindex
* remove gemini-pro-vision from docs as it will be unavailable soon
* fix OpenAI doc available models
* fix api error in gemini and metadata for embeddings
