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Making the Codebase Work for Android with a Bit of Change

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We create a simple camera view in main.qml:Ĭlass QRCodeFilter : public QAbstractVideoFilter DBR_FreeTextResults ( & handler ) result -> m_text = out emit m_filter -> finished ( result ) īuild and run the simple QR code scanner for Windows: Why not Qt 6? Because the Qt Multimedia module which provides camera API is not in Qt 6 yet.īuilding QR Code Scanner for Windows Using Qt QML and C++ When creating a new Qt project, you need to select Android Qt 5.12.11 Clang arm64-v8a for Android and Desktop Qt 5.12.11 MinGW 64-bit for Windows. You need to specify the paths of Java SDK, Android SDK and Android NDK. Open Qt Creator and go to Tools > Options > Devices > Android. Setting Up Qt Environment for Windows and Android With a few lines of C/C++ and QML code, you can quickly build a QR code scanner for Windows and Android in less than 30 minutes. The cons of Flutter are that the framework for Windows is still under development, and you need to use three programming languages, Dart, C/C++, and Java/Kotlin, to build a cross-platform app. However, it takes time to develop Flutter plugins. This tutorial was inspired by this very good Github repository.If you want to create a QR code scanner for both Windows and Android from a single codebase, what is the best way to do it? If you have read my previous article, Flutter could be your answer.

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If you have any question or remark regarding this tutorial, feel free to open an issue. Java_MainActivity_adaptiveThresholdFromJNI.

Java_com_example_nativeopencvtemplate_MainActivity_adaptiveThresholdFromJNI

You can copy paste native-lib.cpp file.

You can copy paste activity_main.xml file.

You can copy paste MainActivity Kotlin or Java file.

Open adle file and append these two lines.

Choose Toolchain default as C++ standard and click Finish.Īdd OpenCV Android SDK as a module into your project :.

Choose an Application Name, select your favorite language (Kotlin or Java), choose Minimum API level (28 here) and select next.

Click Phone and Tablet tab, select Native C++ and click next.

Here are the steps to follow to create a new Android Studio project with native OpenCV support :Ĭreate a new Native Android Studio project : Bootstrap a new Android project with Native OpenCV support Note: MainActivity is written in Kotlin but you can comment out the Kotlin file and uncomment the Java file to use Java. Sync Gradle and run the application on your Android Device! Opencvsdk=/Users/Example/Downloads/OpenCV-android-sdk Open gradle.properties file and edit following line with your own OpenCV Android SDK directory path :

Link your Android Studio project to the OpenCV Android SDK you just downloaded :

Unzip downloaded file and put OpenCV-android-sdk directory on a path of your choice.

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Download OpenCV 4.5.5 Android release or download latest available Android release on OpenCV website.Paste this repository Github URL, choose a project directory and click next.In Android Studio, click on File -> New -> Project from Version Control -> Git.Setup ToolĬlone this repository as an Android Studio project : The OpenCV adaptive threshold call is performed in C++. This sample Android application displays a live camera feed with an OpenCV adaptive threshold filter applied on each frame. Native OpenCV for Android with Android NDKĪ tutorial for setting up OpenCV 4.5.5 (and other 4.x.y versions) for Android in Android Studio with Native Development Kit (NDK) support.Īndroid NDK enables you to implement your OpenCV image processing pipeline in C++ and call that C++ code from Android Kotlin/Java code through JNI ( Java Native Interface).