Nomeroff-net

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**updates**
* Added support for finding 4 number points exclusively within the found bbox
* Sped up craft postprocessing by cpp bindings
* Re-train ocr-ua model
* Re-trained options model
* Returned to a separate backbone for ocr models
* Fixed bag with block_cnn in ocr models

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**updates**
* Refactored code with Sonarqube
* Added Pipelines
* Restructured code
* Added common backbone for ocr models

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

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**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

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

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**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