OpenCV  3.4.20-dev
Open Source Computer Vision
OpenCV4Android SDK

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This tutorial was designed to help you with installation and configuration of OpenCV4Android SDK.

This guide was written with MS Windows 7 in mind, though it should work with GNU Linux and Apple Mac OS as well.

This tutorial assumes you have the following software installed and configured:

If you need help with anything of the above, you may refer to our Introduction into Android Development guide.

If you encounter any error after thoroughly following these steps, feel free to contact us via OpenCV4Android discussion group or OpenCV Q&A forum. We'll do our best to help you out.

Tegra Android Development Pack users

You may have used Tegra Android Development Pack (TADP) released by NVIDIA for Android development environment setup.

Beside Android development tools the TADP 2.0 includes OpenCV4Android SDK, so it can be already installed in your system and you can skip to samples section of this tutorial.

More details regarding TADP can be found in the Introduction into Android Development guide.

General info

OpenCV4Android SDK package enables development of Android applications with use of OpenCV library.

The structure of package contents looks as follows:

|_ apk
|   |_ OpenCV_2.4.9_binary_pack_armv7a.apk
|   |_ OpenCV_2.4.9_Manager_2.18_XXX.apk
|_ doc
|_ samples
|_ sdk
|    |_ etc
|    |_ java
|    |_ native
|          |_ 3rdparty
|          |_ jni
|          |_ libs
|               |_ armeabi
|               |_ armeabi-v7a
|               |_ x86

Starting from version 2.4.3 OpenCV4Android SDK uses OpenCV Manager API for library initialization. OpenCV Manager is an Android service based solution providing the following benefits for OpenCV applications developers:

Manual OpenCV4Android SDK setup

Get the OpenCV4Android SDK

  1. Go to the OpenCV download page on SourceForge and download the latest available version. This tutorial is based on this package:
  2. Create a new folder for Android with OpenCV development. For this tutorial we have unpacked OpenCV SDK to the C:\Work\OpenCV4Android\ directory.

    Better to use a path without spaces in it. Otherwise you may have problems with ndk-build.
  3. Unpack the SDK archive into the chosen directory.

    You can unpack it using any popular archiver (e.g with 7-Zip):


    On Unix you can use the following command:

    unzip ~/Downloads/

Import OpenCV library and samples to the Eclipse

  1. Start Eclipse and choose your workspace location.

    We recommend to start working with OpenCV for Android from a new clean workspace. A new Eclipse workspace can for example be created in the folder where you have unpacked OpenCV4Android SDK package:

  2. Import OpenCV library and samples into workspace.

    OpenCV library is packed as a ready-for-use Android Library Project. You can simply reference it in your projects.

    Each sample included into the is a regular Android project that already references OpenCV library. Follow the steps below to import OpenCV and samples into the workspace:

    • Right click on the Package Explorer window and choose Import... option from the context menu:

    • In the main panel select General –> Existing Projects into Workspace and press Next button:

    • In the Select root directory field locate your OpenCV package folder. Eclipse should automatically locate OpenCV library and samples:

    • Click Finish button to complete the import operation.
    OpenCV samples are indeed dependent on OpenCV library project so don't forget to import it to your workspace as well.

    After clicking Finish button Eclipse will load all selected projects into workspace, and you have to wait some time while it is building OpenCV samples. Just give a minute to Eclipse to complete initialization.


    Once Eclipse completes build you will have the clean workspace without any build errors:


Running OpenCV Samples

At this point you should be able to build and run the samples. Keep in mind, that face-detection and Tutorial 2 - Mixed Processing include some native code and require Android NDK and NDK/CDT plugin for Eclipse to build working applications. If you haven't installed these tools, see the corresponding section of Introduction into Android Development.


Please consider that some samples use Android Java Camera API, which is accessible with an AVD.

Recent *Android SDK tools, revision 19+* can run ARM v7a OS images but they available not for all Android versions.

Well, running samples from Eclipse is very simple:

What's next

Now, when you have your instance of OpenCV4Adroid SDK set up and configured, you may want to proceed to using OpenCV in your own application. You can learn how to do that in a separate Android Development with OpenCV tutorial.