0.16 Release #16390
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0.16 Release #16390
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* Add basic config and face recognition table * Reconfigure updates processing to handle face * Crop frame to face box * Implement face embedding calculation * Get matching face embeddings * Add support face recognition based on existing faces * Use arcface face embeddings instead of generic embeddings model * Add apis for managing faces * Implement face uploading API * Build out more APIs * Add min area config * Handle larger images * Add more debug logs * fix calculation * Reduce timeout * Small tweaks * Use webp images * Use facenet model
* Increase requirements for face to be set * Manage faces properly * Add basic docs * Simplify * Separate out face recognition frome semantic search * Update docs * Formatting
* Add support for face detection * Add support for detecting faces during registration * Set body size to be larger * Undo
* Update version * Face recognition backend (#14495) * Add basic config and face recognition table * Reconfigure updates processing to handle face * Crop frame to face box * Implement face embedding calculation * Get matching face embeddings * Add support face recognition based on existing faces * Use arcface face embeddings instead of generic embeddings model * Add apis for managing faces * Implement face uploading API * Build out more APIs * Add min area config * Handle larger images * Add more debug logs * fix calculation * Reduce timeout * Small tweaks * Use webp images * Use facenet model * Improve face recognition (#14537) * Increase requirements for face to be set * Manage faces properly * Add basic docs * Simplify * Separate out face recognition frome semantic search * Update docs * Formatting * Fix access (#14540) * Face detection (#14544) * Add support for face detection * Add support for detecting faces during registration * Set body size to be larger * Undo * Update version * Face recognition backend (#14495) * Add basic config and face recognition table * Reconfigure updates processing to handle face * Crop frame to face box * Implement face embedding calculation * Get matching face embeddings * Add support face recognition based on existing faces * Use arcface face embeddings instead of generic embeddings model * Add apis for managing faces * Implement face uploading API * Build out more APIs * Add min area config * Handle larger images * Add more debug logs * fix calculation * Reduce timeout * Small tweaks * Use webp images * Use facenet model * Improve face recognition (#14537) * Increase requirements for face to be set * Manage faces properly * Add basic docs * Simplify * Separate out face recognition frome semantic search * Update docs * Formatting * Fix access (#14540) * Face detection (#14544) * Add support for face detection * Add support for detecting faces during registration * Set body size to be larger * Undo * initial foundation for alpr with paddleocr * initial foundation for alpr with paddleocr * initial foundation for alpr with paddleocr * config * config * lpr maintainer * clean up * clean up * fix processing * don't process for stationary cars * fix order * fixes * check for known plates * improved length and character by character confidence * model fixes and small tweaks * docs * placeholder for non frigate+ model lp detection --------- Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Create config for parsing object * Use in maintainer
* Add margin to detected faces for embeddings * Standardize pixel values for face input * Use SVC to classify faces * Clear classifier when new face is added * Formatting * Add dependency
* Validate faces using cosine distance and SVC * Formatting * Use opencv instead of face embedding * Update docs for training data * Adjust to score system * Set bounds * remove face embeddings * Update writing images * Add face library page * Add ability to select file * Install opencv deps * Cleanup * Use different deps * Move deps * Cleanup * Only show face library for desktop * Implement deleting * Add ability to upload image * Add support for uploading images
* Fix nginx max upload size * Close upload dialog when done and add toasts * Formatting * fix ruff
* Change base image * Update python * Update coral library * Fix source file * Install correct apt packages * Cleanup * Fix installation of coral deps * fix python installations * Fix devcontainer build * Get tensorrt build working * Update other deps * Filter out tflite log * Get ROCm build working * Get rockchip build working * Get hailo build working * Add note to comment
* use ruamel to parse and preserve line numbers for config validation * maintain exception for non validation errors * fix types * include input in log messages
* Update opencv * Update cython * Update scikit * Update scipy
* Face recognition tuning * Support face alignment * Cleanup * Correctly download model
* Always initialize face model on startup * Add ability to save face images for debugging * Implement better face recognition reasonability
* Add ability to view attempts * Improve UI * Cleanup * Correctly refresh ui when item is deleted * Select correct library by default * Add min score * Cleanup
* Rename debug to train * Add api to train image as person * Cleanup model running * Formatting * Fix * Set face recognition page title
* Add necessary tensorrt bindings * Include both versions of cudnn * Update Dockerfile
* Improve lpr and speed zone docs * clarify * clarify
* Only match on exact config name in some cases * Cleanup
…lasses (#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
* Improve ffmpeg versions handling * Remove fallback from LIBAVFORMAT_VERSION_MAJOR, it should always be set * Mention ffprobe in custom ffmpeg docs * Fix ffmpeg extraction * Fix go2rtc example formatting * Add fallback back to LIBAVFORMAT_VERSION_MAJOR * Fix linter
* recordings data pub/sub * function to process recording stream frames * model runner * lpr model runner * refactor to mixin class and use model runner * separate out realtime and post processors * move model and mixin folders * basic postprocessor * clean up * docs * postprocessing logic * clean up * return none if recordings are disabled * run postprocessor handle_requests too * tweak expansion * add put endpoint * postprocessor tweaks with endpoint
* Docs: Fix broken shm calculation * Docs: Change wording of shm template
* Add ability to edit sub labels from tracked object detail dialog * add allowEmpty prop * use TextEntryDialog * clean up * text consistency
* null sub_label when submitting an empty string * prevent cancel from submitting form * fix test
* initial implementation of D-FINE model * revert docker-compose * add docs for D-FINE * remove weird auto-format issue
* Try building jetpack on latest ubuntu version * Update ci.yml * run natively on arm * Run all arm builds using arm runner * Update ci.yml
* Add escape to close review details * Refresh review page automatically if there are currently no items to review
* add wheels * move extra index url to bottom * config model option * add postprocess * fix config * jina v2 embedding class * use jina v2 in embeddings * fix ov inference * frontend * update reference config * revert device * fix truncation * return np tensors * use correct embeddings from inference * manual preprocess * clean up * docs * lower batch size for v2 only * docs clarity * wording
* Remove unneccessary trt wheels build * Cleanup * Try without local cuda * Keep specific cuda libs only * Cleanup * Add newer libcufft * remove target * Include more
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Still early in development. Expect bugs and instability.
Dev docs: https://deploy-preview-16390--frigate-docs.netlify.app/