Previously, I wrote an article Raspberry Pi Barcode Scanner with Webcam and Python illustrating how to build a simple barcode scanner using Dynamsoft Barcode Reader SDK and OpenCV from scratch. The method decodeFile() was used for detecting barcodes from an image file. To use the API, you have to firstly write image buffer that obtained by OpenCV API to a file. Because the I/O operation takes too much time, this API is not suitable for real-time barcode detection from webcam video stream. Considering this scenario, I have added a new Python API decodeBuffer(). In this article, I will illustrate how to create and use the new API.
For the past few months, I have been learning Raspberry Pi. In this post, I will collect all relevant resources together in order to help readers build barcode applications on Raspberry Pi with Dynamsoft Barcode SDK.
Although we have successfully ported Dynamsoft Barcode Reader SDK to Raspberry Pi, the performance is not as good as I expected. In my previous article, I demonstrated how to integrate the SDK into a barcode scanner application, in which the detection code works with webcam frame in the same thread. Apparently, it will block UI if the algorithm costs too much time. In this post, I will do three things: optimize the code with thread, beautify the code with clang-format, and make the webcam barcode scanner auto-launched after the system booted.
During Build 2016, Microsoft released a Visual Studio C++ extension for Linux. With the extension, you can use Visual Studio to write C++ code for Linux devices. In this post, let’s take a glimpse of how to install the extension and how to remotely build and debug C/C++ code for Raspberry Pi.