* Update installation.md for Raspberry Pi and Hailo
Updated Hailo installation instructions to cover both Bookworm and Trixie OS on Raspberry Pi.
Referenced discussions: #21177, #20621, #20062, #19531
* Update user_installation.sh for Raspberry Pi (Bookworm and Trixie)
Simplified and improved the user installation script for Hailo to support Raspberry Pi OS Bookworm, Trixie, and x86 platforms.
Referenced discussions: #21177, #20621, #20062, #19531
* Update installation.md
* Update user_installation.sh
* Update installation.md
* Update installation.md
Added optional fix for PCIe descriptor page size error.
Related discussion: #19481
* Update installation.md
Changed kernel driver version check from modinfo to /sys/module for correct post-reboot output
* Fix jetson stats reading
* Return result
* Avoid unknown class for cover image
* fix double encoding of passwords in camera wizard
* formatting
* empty homekit config fixes
* add locks to jina v1 embeddings
protect tokenizer and feature extractor in jina_v1_embedding with per-instance thread lock to avoid the "Already borrowed" RuntimeError during concurrent tokenization
* Capitalize correctly
* replace deprecated google-generativeai with google-genai
update gemini genai provider with new calls from SDK
provider_options specifies any http options
suppress unneeded info logging
* fix attribute area on detail stream hover
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Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Strip model name before training
* Handle options file for go2rtc option
* Make reviewed optional and add null to API call
* Send reviewed for dashboard
* Allow setting context size for openai compatible endpoints
* push empty go2rtc config to avoid homekit error in log
* Add option to set runtime options for LLM providers
* Docs
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Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* mse player improvements
- fix WebSocket race condition by registering message handlers before sending and avoid closing CONNECTING sockets to eliminate "Socket is not connected" errors.
- attempt to resolve Safari MSE timeout and handler issues by wrapping temporary handlers in try/catch and stabilizing the permanent mse handler so SourceBuffer setup completes reliably.
- add intentional disconnect tracking to prevent unwanted reconnects during navigation/StrictMode cycles
* Update Ollama
* additional MSE tweaks
* Turn activity context prompt into a yaml example
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add shortSummary field to review summary to be used for notifications
* pull in current config version into default config
* fix crash when dynamically adding cameras
depending on where we are in the update loop, camera configs might not be updated yet and we are receiving detections already
* add no tracked objects and icon to explore summary view
* reset add camera wizard when closing and saving
* don't flash no exports icon while loading
* Improve handling of homekit config
* Increase prompt tokens reservation
* Adjust
* Catch event not found object detection
* Use thread lock for JinaV2 in onnxruntime
* remove incorrect embeddings process from memray docs
* only show transcribe button if audio event has video
* apply aspect ratio and margin constraints to path overlay in detail stream on mobile
improves a specific case where the overlay was not aligned with 4:3 cameras on mobile phones
* show metadata title as tooltip on icon hover in detail stream
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Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
* Fix genai callbacks in MQTT
* Cleanup cursor pointer for classification cards
* Cleanup
* Handle unknown SOCs for RKNN converter by only using known SOCs
* don't allow "none" as a classification class name
* change internal port user to admin and default unspecified username to viewer
* keep 5000 as anonymous user
* suppress tensorflow logging during classification training
* Always apply base log level suppressions for noisy third-party libraries even if no specific logConfig is provided
* remove decorator and specifically suppress TFLite delegate creation messages
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Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
Replaces two functions calls, that were deprecated and aliases for the
new function name:
- Migrator.python -> Migration.run
- Migrator.change_column -> Migrator.change_field
The model is now dynamically downloaded to the cache directory.
Post-processing is now done using Frigate's built-in `post_process_yolo`.
Configuration in the relevant documentation has been updated.
* Pull context size from openai models
* Adjust wording based on type of model
* Instruct to not use parenthesis
* Simplify genai config
* Don't use GPU for training
* Update ROCm to 7.0.1
* Update ONNXRuntime
* Add back in
* Get basic detection working
* Use env vars
* Handle complex migraphx models
* Enable model caching
* Remove unused
* Add tip to docs
* [Init] Initial commit for Synaptics SL1680 NPU
* add a rough detector which is testing with yolov8 tflite model.
* [Feat] Add dependencies installation in docker build
- Add runtime library and wheels installation in main/Dockerfile
- Add model.synap(default model, transfer from mobilenet_224full80) in docker/synap1680
* [Update] Remove dependencies installation from main Dockerfile
- remove deps installation from Dockerfile
- add dependencies installation and split wheels, deps stage in synap1680 Dockerfile
* Refactor synap detector to more closely match other implementations
* [Update] Add model path configuration check
* [Update] update ModelType to ssd
* [Update] Remove unuse script
- install_deps.sh has already been executing in deps download stage
- Dockerfile.toolchain is for testing to extract runtime libraries from Synaptics toolchain
* [Update] update Synaptics SL1680 setup description
* [Update] remove install_synap1680
- The deps download and installation is existed in synap1680
* [Fix] update document content
* [Update] Update detector from synap1680 to synaptics
This update is in order to make the synaptics SL-series NPU detector more general.
- Fix detector `os` module not import bug
- Update detector type `synap1680` to `synaptics`
- Update document description `SL1680` to `Synaptics` only
- Update docker build content `synap1680` to `synaptics`
* [Fix] Update configuration document
* Update docs/docs/configuration/object_detectors.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* [Update] Update document content and detector default layout
- Update object_detectors document
- Update detector's default layout
- Update default model name
* [Update] Update object detector document content
* [Fix] Fix InputTensorEnum not defined error
- import InputTensorEnum from detector_config
* [Update] Update detector script coding format
* [Update] Update synaptics detector coding format
* [Update] Add synaptics ci workflow
* [Update] update synaptics runtime libs download path
- Fork Synaptics astra sdk repo and put the runtime lib package on it
- Frigate team can update this download path later
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Use OpenVINO directly to detect if devices are available
* Cleanup
* Update OpenVINO
* Cleanup
* Don't try to use OpenVINO when CPU is set as device
* Catch case where input tensor can't be pre-defined
* Cleanup
