Simplifying Vietnamese Vehicle Plate Validation and Parsing with BienSoXe Library

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Simplifying Vietnamese Vehicle Plate Validation and Parsing with BienSoXe Library

BienSoXe is a powerful library that simplifies the validation and parsing of Vietnamese vehicle plates. Designed to support computer vision applications, this library is not a license plate recognition system but rather a tool that validates the output of such systems. If you are using camera technology to track vehicles in a parking lot or any other setting and want to filter out false results caused by various factors, such as camera angles, BienSoXe can help you achieve accurate and reliable results.

Installation

To get started with BienSoXe, simply use the following pip command to install the library:

pip3 install biensoxe

Basic Usage

The core functionality of BienSoXe is the ability to validate and parse Vietnamese vehicle plate numbers. You can accomplish this by calling the VietnamVehiclePlate.from_string method and passing the plate number as a string. Here’s an example:

from biensoxe import VietnamVehiclePlate

plate = VietnamVehiclePlate.from_string('44A-112.23')
print(plate)

The from_string method returns a VietnamVehiclePlate object that contains various attributes, including the compact plate number, vehicle type, series, order, locality, and diplomatic country (if applicable). If the plate number cannot be parsed, a ValueError will be raised.

Formatting the Plate Number

In addition to validation and parsing, BienSoXe allows you to format the plate number as it appears in daily life. By passing a VietnamVehiclePlate object to the str function, you can achieve this formatting. Here’s an example:

plate = VietnamVehiclePlate.from_string('72E101130')
formatted_plate = str(plate)
print(formatted_plate)

The output will be the formatted plate number: '72-E1 011.30'.

Integration with Django Models

For Django developers, BienSoXe provides a convenient field type called VietnamVehiclePlateField. This field allows you to store and retrieve vehicle plate numbers as VietnamVehiclePlate objects in your Django models. Here’s an example:

from biensoxe.django import VietnamVehiclePlateField

class Vehicle(models.Model):
plate_number = VietnamVehiclePlateField(max_length=20, unique=True)

With this integration, you can easily work with vehicle plate numbers in your Django models, ensuring consistent and validated data.

Conclusion

BienSoXe is a valuable library for software engineers, solution architects, and stakeholders involved in vehicle tracking systems. By simplifying the validation and parsing of Vietnamese vehicle plates, this library streamlines the development process and enhances the accuracy of results. Whether you are building a parking lot management system or a traffic monitoring application, BienSoXe can be a powerful addition to your tech stack.

To learn more about BienSoXe and get started with the library, visit the official documentation and the GitHub repository.

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