* 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>
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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
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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