Releases: ankandrew/fast-plate-ocr
Releases · ankandrew/fast-plate-ocr
fast-plate-ocr 1.0.0
What's Changed
Added
- New XS and S CCT model variants, trained with x3 more data (220k global plates).
- Complete rework of docs, documenting much more everything.
- Inference now works smoothly with different onnxruntime variants like
onnxruntime-gpu
,onnxruntime-openvino
, etc. - Support for building and customizing CCT (Compact Convolutional Transformer) models from YAML configs.
- New model building logic, allows users to build custom-based architectures while validating it with Pydantic.
- New metric
val_plate_len_acc
. - Added support for categorical focal loss.
- Added more test coverage (configs, train scripts, etc.).
- New
validate_dataset.py
script to help check datasets before training. - Export script now officially supports more formats like TFLite and CoreML.
- New plate config support:
keep_aspect_ratio
,interpolation
,image_color_mode
andpadding_color
. - New default augmentation for RGB image mode.
- New default models, trained with much more data.
- Added examples and more docs.
Changed
- Visualize augmentation script now respects config-based preprocessing.
- Improved plate config validation.
ONNXPlateRecognizer
is now calledLicensePlateRecognizer
.
Full Changelog: v0.3.0...v1.0.0
fast-plate-ocr 0.3.0
What's Changed
- Add more CI/CD workflows by @ankandrew in #25
- Add more CLI train options by @ankandrew in #27
- New Global model using MobileViTV2 trained with data from +65 countries 🚀 by @ankandrew in #28
Full Changelog: v0.2.0...v0.3.0
fast-plate-ocr 0.2.0
What's Changed
- New European model using MobileViTV2 - trained on +40 countries 🚀 .
- New models and Improved logging by @ankandrew in #19 ⭐.
New Contributors
- @ankandrew made their first contribution in #19
Full Changelog: v0.1.6...v0.2.0
fast-plate-ocr 0.1.6
Full Changelog: v0.1.5...v0.1.6
Added
- Add new Argentinian model trained with more (synthetic) data.
- Add option to visualize only predictions which have low char prob.
- Add onnxsim for simplifying ONNX model when exporting.
fast-plate-ocr 0.1.5
Full Changelog: v0.1.3...v0.1.5
fast-plate-ocr 0.1.3
Full Changelog: v0.1.2...v0.1.3
fast-plate-ocr 0.1.2
Full Changelog: arg-plates...v0.1.2
HUB
Trained models HUB and related assets (.keras
and .onnx
).
Additional datasets
@biodatasciencearg for contributing arg_plate_dataset_biodatasciencearg.zip
dataset.