Shulou(Shulou.com)06/01 Report--

In this issue, the editor will bring you about how the ARM64 barcode SDK is suitable for Nvidia Jetson Nano. The article is rich in content and analyzes and describes it from a professional point of view. I hope you can get something after reading this article.

Starting with version 7.6, Dynamsoft's barcode SDK began to support ARM64. This means that developers can build bar code recognition applications on Nvidia Jetson Nano.

Aarch74 Python barcode SDK

The official operating system provided by Nvidia Jetson Nano is Ubuntu 18.04 Aarch74. The Aarch74 version of Dynamsoft Barcode SDK: https://pypi.org/project/dbr/#files. can now be found on Pypi.

Supported Python versions include 3.6, 3.7 and 3.8.

Install using pip3:

Pip3 install dbr

After installation, you can simply test it through Python3.

Run the Python barcode recognition example on Jetson Nano

Through the sample code, you can quickly become familiar with the Python interface: https://github.com/Dynamsoft/python-barcode.

Before running the program, go to the Dynamsoft website to get a 30-day registration code: https://www.dynamsoft.com/customer/license/trialLicense

Update the Python code:

License_key = "Input your own license"

Run the video stream to decode the test_DecodeVideoByCamera.py in real time.

Note: you need to install OpenCV (https://github.com/opencv/opencv) to turn on the camera.

Run the example of Candlestick + barcode recognition on Jetson Nano

Only ARM32 packages (https://www.dynamsoft.com/Downloads/Dynamic-Barcode-Reader-Download.aspx) are currently available on Dynamsoft's official website.

After downloading and decompressing, you can get header files, library files and documents.

The library linked to ARM32 cannot be compiled on ARM64's system.

If you download the installation package for Python, you can get the dynamic link library of ARM64 from the package directory of Python. Copy it to the project directory to overwrite ARM32's library.

Cp / usr/local/lib/python3.6/dist-packages/dbr/libDynamsoftBarcodeReader.so ~ / Dynamsoft/BarcodeReader/lib/

You are now ready to successfully compile and run the sample code for CumberCure +:

Make./ReadBarcode.. / images/AllSupportedBarcodeTypes.tif

This is how the ARM64 bar code SDK for Nvidia Jetson Nano is shared by the editor. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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