Commit Graph

16 Commits

Author SHA1 Message Date
Nicolas Mowen
b6040c6b83 Remove standardization 2024-11-24 08:33:08 -07:00
Nicolas Mowen
e65fb27f2d Use SVC to normalize and classify faces for recognition (#14835)
* 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
2024-11-24 08:33:08 -07:00
Josh Hawkins
9d5d8ddbb2 Use regular expressions for plate matching (#14727) 2024-11-24 08:33:08 -07:00
Nicolas Mowen
6d6a07ff2c Update facenet model (#14647) 2024-11-24 08:33:08 -07:00
Josh Hawkins
77dc091c2a License plate recognition (ALPR) backend (#14564)
* 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>
2024-11-24 08:33:08 -07:00
Nicolas Mowen
13e90fc6e0 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
2024-11-24 08:33:08 -07:00
Nicolas Mowen
40c6fda19d
Various fixes and improvements (#14492)
* Refactor preprocessing of images

* Cleanup preprocessing

* Improve naming and handling of embeddings

* Handle invalid intel json

* remove unused

* Use enum for model types

* Formatting
2024-10-21 16:19:34 -06:00
Josh Hawkins
1ec459ea3a
Batch embeddings fixes (#14325)
* fixes

* more readable loops

* more robust key check and warning message

* ensure we get reindex progress on mount

* use correct var for length
2024-10-13 15:25:13 -06:00
Nicolas Mowen
e8b2fde753
Support batch embeddings when reindexing (#14320)
* Refactor onnx embeddings to handle multiple inputs by default

* Process items in batches when reindexing
2024-10-13 12:33:27 -05:00
Nicolas Mowen
3a403392e7
Fixes for model downloading (#14305)
* Use different requestor for downloaders

* Handle case where lock is left over from failed partial download

* close requestor

* Formatting
2024-10-12 13:36:10 -05:00
Nicolas Mowen
6df541e1fd
Openvino models (#14283)
* Enable model conversion cache for openvino

* Use openvino directly for onnx embeddings if available

* Don't fail if zmq is busy
2024-10-11 10:47:23 -06:00
Josh Hawkins
54eb03d2a1
Add config option to select fp16 or quantized jina vision model (#14270)
* Add config option to select fp16 or quantized jina vision model

* requires_fp16 for text and large models only

* fix model type check

* fix cpu

* pass model size
2024-10-10 16:46:21 -06:00
Nicolas Mowen
dd6276e706
Embeddings fixes (#14269)
* Add debugging logs for more info

* Improve timeout handling

* Fix event cleanup

* Handle zmq error and empty data

* Don't run download

* Remove unneeded embeddings creations

* Update timouts

* Init models immediately

* Fix order of init

* Cleanup
2024-10-10 16:37:43 -05:00
Nicolas Mowen
a2ca18a714
Bug fixes (#14263)
* Simplify loitering logic

* Fix divide by zero

* Add device config for semantic search

* Add docs
2024-10-10 07:09:12 -06:00
Nicolas Mowen
bc3a06178b
Embedding gpu (#14253) 2024-10-09 19:46:31 -06:00
Josh Hawkins
d4925622f9
Use JinaAI models for embeddings (#14252)
* add generic onnx model class and use jina ai clip models for all embeddings

* fix merge confligt

* add generic onnx model class and use jina ai clip models for all embeddings

* fix merge confligt

* preferred providers

* fix paths

* disable download progress bar

* remove logging of path

* drop and recreate tables on reindex

* use cache paths

* fix model name

* use trust remote code per transformers docs

* ensure tokenizer and feature extractor are correctly loaded

* revert

* manually download and cache feature extractor config

* remove unneeded

* remove old clip and minilm code

* docs update
2024-10-09 15:31:54 -06:00