Nomeroff-net

==================
**updates**
* Replaced custom cnn on resnet in option detector model
* Added fastapi examle

==================
**updates**
* Rewrote OCR to PyTorch
* Restructured project folders and files
* Added autoloading of datasets and dependent repositories
* Optimized training options and OCR with [PyTorch Lightning](https://www.pytorchlightning.ai/)
* Added new [dataset tools](https://github.com/ria-com/nomeroff-net/tree/master/tools)
* Updated [datasets](https://nomeroff.net.ua/datasets/) and [models](https://nomeroff.net.ua/models/)
* Added experimental feature Orientation Detector
* Added tensorrt support for OCRs, YOLO and Options Classification models

==================
**updates**
* Optimize multiline to one line algorithm
* Have combined multiline to one line algorithm with nomeroff_net API
* Added tornado and flask examples

==================
**updates**
* Removed is filled or not is filled classification
* Rewritten options classification on torch
* Added multiline to one line algorithm
* Added automatic selection of bevel angle options in np_points_craft.detect
* Added modelhub module

==================
**updates**
* Replaced numberplate segmentation and RectDetector module on object detection(yolov5) and craft
* Added from_MaskRCNN_datafromat_to_YOLO_dataformat.ipynb dataset convertor
* Increased the number of examples in the dataset of finding license plate zones
* Added train example
* Updated avto-nomer-tool
* Added ocr eu onnx-convertor
* Updated demos .py scripts
* Updated benchmarks .py scripts
* Fixed all setup*.py needed
* Fixed all docker files for new requirements needed
* Updated .html demo
* Added faster model for finding license plates for the CPU

**deprecated**
* DetectronDetector
* RectDetector
* MmdetectionDetector

==================
**updates**
* Change main version to 1.0.0 beta
* Updated all examples for new version
* Fix small bugs in RectDetector
* Updated all OCR models