Commit Graph
8 Commits
Author SHA1 Message Date
Josh HawkinsandGitHub 79177db969 Update deps (#24623)
* bump backend and frontend dependencies

Bumps every outdated dependency that passed testing, with the code changes each one needs.

- peewee 4.5 and peewee_migrate 2.3: use SqliteDatabase in place of the removed SqliteExtDatabase, and fix types for peewee's bundled stubs
- mypy 2.4.0: remove unused type ignores and add the annotations mypy 2 needs
- pandas 3.0: convert the motion activity index with as_unit("s"), because pandas 3 infers second resolution for whole-second timestamps and the old // 10**9 returned 1
- transformers 5.19: load Jina tokenizers from the saved directory with trust_remote_code off and use CLIPImageProcessor, since v5 removed CLIPFeatureExtractor and remote code pulled in torch
- tensorflow-cpu 2.21: pin protobuf to 7.36 in the TensorRT amd64 image, because the old 3.20.3 pin was installed over TensorFlow and broke its import
- pydantic 2.13 and google-genai 2.29: regenerate the API spec
- ruff 0.16: set an explicit lint select, since 0.16 widened the default rules
- react-router-dom 7: set useTransitions={false} on BrowserRouter to keep v6 update timing, which useSearchEffect relies on
- typescript 6: drop baseUrl and add node types in tsconfig
- radix: update to the latest release and remove the slot patch, which upstream now includes
- apexcharts 7.8: guard the tooltip formatter against null values
- cryptography 50, joserfc 1.7, pywebpush 2.5, openai 3.26, aiohttp, uvicorn, onvif-zeep-async, scipy, framer-motion 14, react-day-picker 10 and other minor and patch bumps

* silence httpx2 request logging

* redownload an incomplete jina tokenizer

An interrupted tokenizer download left the Hugging Face cache directory without the saved tokenizer files, and since the download is skipped whenever that directory exists, every restart failed to load the tokenizer. The Jina constructors now remove a tokenizer directory that has no tokenizer_config.json so the download runs again.
2026-10-10 15:01:33 -05:00
bf099c3edd Miscellaneous fixes (0.17 beta) (#21655)
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* 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>
2026-01-15 07:08:49 -07:00
78eace258e Miscellaneous Fixes (0.17 Beta) (#21320)
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* Exclude D-FINE from using CUDA Graphs

* fix objects count in detail stream

* Add debugging for classification models

* validate idb stored stream name and reset if invalid

fixes https://github.com/blakeblackshear/frigate/discussions/21311

* ensure jina loading takes place in the main thread to prevent lazily importing tensorflow in another thread later

reverts atexit changes in https://github.com/blakeblackshear/frigate/pull/21301 and fixes https://github.com/blakeblackshear/frigate/discussions/21306

* revert old atexit change in bird too

* revert types

* ensure we bail in the live mode hook for empty camera groups

prevent infinite rendering on camera groups with no cameras

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Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
2025-12-16 22:35:43 -06:00
Nicolas MowenandGitHub 68f806bb61 Cleanup onnx detector (#20128)
* Cleanup onnx detector

* Fix

* Fix classification cropping

* Deprioritize openvino

* Send model type

* Use model type to decide if model can use full optimization

* Clenanup

* Cleanup
2025-09-18 15:12:09 -06:00
Nicolas MowenandGitHub 81d7c47129 Optimize OpenVINO and ONNX Model Runners (#20063)
* Use re-usable inference request to reduce CPU usage

* Share tensor

* Don't count performance

* Create openvino runner class

* Break apart onnx runner

* Add specific note about inability to use CUDA graphs for some models

* Adjust rknn to use RKNNRunner

* Use optimized runner

* Add support for non-complex models for CudaExecutionProvider

* Use core mask for rknn

* Correctly handle cuda input

* Cleanup

* Sort imports
2025-09-14 06:22:22 -06:00
baudneoandGitHub 33f3ea3b59 Enrichments: Allow targeting a specific GPU ID (#19342) 2025-08-18 17:43:53 -06:00
idxlicsandGitHub 976863518b Use HF_ENDPOINT env instead of hardcoding https://huggingface.co (#18036)
* Update jina_v1_embedding.py

* Update jina_v2_embedding.py
2025-05-04 19:38:17 -05:00
Nicolas MowenandGitHub c736b1dae5 Refactor ONNX embedding class to use a base class and type-specific classes (#16703)
* Move onnx runner

* Build out base embedding

* Convert text embedding to separate class

* Move image embedding to separate

* Move LPR to separate class

* Remove mono embedding

* Simplify model downloading

* Reorganize jina v1 embeddings

* Cleanup

* Cleanup for review
2025-02-20 10:17:07 -06:00