Tag: cmake
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The accuracy of optical character recognition (OCR) is sensitive to text orientation. If a text image file is rotated by 90°, 180° or 270°, and there is no EXIF information, it would be challenging to doing text recognition. In case of text around barcode, the combination of ...
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Three years ago, I created a CMake project, aiming to build a C/C++ project with Dynamsoft Barcode Reader on Windows, Linux, and macOS. Today, as the world’s top barcode SDK, Dynamsoft Barcode Reader has extended to more operating systems and CPU architectures: ARM32 Linux: ...
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While scanning single or multiple barcodes with a barcode SDK, most of the developers only concern about the trade-off between decoding speed and recognition accuracy, for they cannot get other data. Since from version 8.0, Dynamsoft exposes more parameters and intermediate r ...
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Dynamsoft Barcode Reader is an enterprise-class barcode SDK implemented in C/C++. Although the SDK is available for Windows, Linux, and macOS, there is only one Windows sample showing how to invoke the latest video APIs in version 7.x. To make developers experience the exampl ...
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The article is not about how to create Java native methods invoking C/C++ APIs. It aims to help developers to build a jar package containing JNI shared library, made with Dynamsoft Barcode Reader, for Windows, Linux, and macOS from scratch. I will demonstrate how to create JN ...
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Last week, I shared how to create a CMake project for Windows. Since CMake is a cross-platform software building tool, I am going to make my C/C++ project support Linux and macOS.
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If you have a program designed for multiple platforms, you definitely don’t want to waste time configuring and maintaining the building environment. I was thinking how to compile my C/C++ code for Windows, Linux and macOS more conveniently, and after that, I decided to learn ...
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OpenCV (Open Source Computer Vision Library) is a powerful open source library of computer vision algorithms. It is widely used by many technologies, such as image acquiring (e.g. Webcam capture), image processing (e.g. noise reduction), image detection (e.g. face detection), ...