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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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Кратко о проекте \ Briefly about the project

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

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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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