Nomeroff-net

==================
**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

==================
**updates**
* Updated all code for tensorflow 2.x usage
* Updated all models for tensorflow 2.x usage
* Use tensorflow.keras instance keras

**deprecated**
* MaskRcnn model cut out
* tensorflow 1.x not supported now

Centermask2 / 2020-07-15
==================
**training**
* Added new cpu ua OCR-model with 'KA' combination

**features**
* Added methods that return OCR probabilities get_acc
* Added newest pytorch Centermask2 model (3x-faster than MaskRcnn)

**bugfix**
* fixed 4 points Detector
* bug with augmented images fixed

==================
**model control manager**
* pip3 install nomeroff-net

==================
**model control manager**
* Added mcm to nomeroff_net

==================
**training**
* Added experimental support for recognition of Georgia (ge) numbers. Recognition Accuracy 97%

**features**
* Added latest model autoloader.