Nomeroff-net

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**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
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**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

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

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

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

**features**
* Added latest model autoloader.

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**training**
* Re-train mask-rcnn model.

**bugfix**
* Fix rounding bug in RectDetect

**tools**
* Add Mask RCCN dataset tools to auto-nomer-tool

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**features**
* Added experimental support for recognition of Kazakhstan (kz) 2 line box numbers. Recognition Accuracy 95%.

**training**
* Re-train Kazakhstan (kz) numbers recognition model. Get Recognition Accuracy 94%.
* Re-train options numbers classification model with ["xx_unknown", "eu_ua_2015", "eu_ua_2004", "eu_ua_1995", "eu", "xx_transit", "ru", "kz", "kz_box"] classes output. Get Classification Accuracy 99,9%.
* Set simplified convolutional network architecture for numberplate classification by default.