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This is a desktop application designed to recognize and detect car license plates of the Russian Federation. The application uses a pre-trained neural network model on TensorFlow Lite to perform the task of recognizing license plates, and also provides a user-friendly interface created using Qt Designer.

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F3rkZzz/Basic_License_Plate_Recognizer

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Basic_License_Plate_Recognizer

RUS

Это десктопное приложение, предназначенное для распознавания автомобильных номерных знаков Российской Федерации. Приложение использует предварительно обученную модель нейронной сети на TensorFlow Lite для выполнения задачи распознавания номерных знаков, а также предоставляет удобный интерфейс, созданный с помощью Qt Designer.

Ссылка на источник с компилятором модели нейронной сети по распознаванию номерных знаков, базой которого я руководствовался, немного отредактировав под нашу ситуацию - https://github.com/sovse/tflite_avto_num_recognation

ENG

This is a desktop application designed to recognize and detect car license plates of the Russian Federation. The application uses a pre-trained neural network model on TensorFlow Lite to perform the task of recognizing license plates, and also provides a user-friendly interface created using Qt Designer.

Link to the source with the compiler of the neural network model for license plate recognition, the base of which I was guided by, slightly edited for our situation - https://github.com/sovse/tflite_avto_num_recognation

Внешний вид приложения (Application appearance)

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This is a desktop application designed to recognize and detect car license plates of the Russian Federation. The application uses a pre-trained neural network model on TensorFlow Lite to perform the task of recognizing license plates, and also provides a user-friendly interface created using Qt Designer.

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