Creating a new OpenCV project in Android Studio

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In this tutorial, we will create a new OpenCV project in Android Studio. Since you have everything downloaded already, we are ready to move on. By the end of this tutorial, you will have a new project set up, which you can use to build your projects upon. So lets do some CV!

Note: This tutorial has been tested on Android Studio 1.5 and 2.0

In short, the steps are, (2) Create simple project. (3) Import OpenCV SDK as a Module in Android Studio. (4) Set OpenCV Version. in Project (5) Fix Library association in project. (6) Done! Now actual OpenCV code can be written in future. The longer and detailed guided tutorial is given below.

  1. I beg you to open Android studio.
  2. Create a new project
    • I named it “OpenCV_Test”. (It could be different in the following GIF)
    • Minimum SDK is “API 19: Android 4.4 (KitKat).
    • Default Activity is “Basic Activity” (easily changeable later on)
    • Activity name is “MainActivity” (i.e. default settings)
    • I have shown the entire process in this GIF.
      Android-Studio-Create-New-Project
    • After pressing Finish, Gradle will perform some processes and eventually, you will be presented with your Android project.
    • Now, we can start importing OpenCV into the project.
  3. Import the OpenCV for Android SDK module in Android Studio.
    • To import the OpenCV SDK as a module in your project, go to File>New>Import Module.
    • Then Give path to your OpenCV as ..\OpenCV-android-sdk\sdk\java
    • You can chose to modify your module’s name.
    • Press Next and Finish the Dialogue.
    • The entire process is given here:
      OpenCV-Android-Import-Module-Android-Studio
    • Note that in the end, there are some errors in the code as well as the console. This is because you need to fix the Version number and link the libraries with your own project. This is shown in the next two steps.
  4. In this step, we will fix the Android Project SDK information in the OpenCV build.gradle file.
    • In project explorer, switch to Project view.
    • Go to OpenCVLibrary300 > build.gradle file and open it.
      • I have updated the contents of the file with the following code
      • Note that the android project’s SDK information can be obtained from the project’s own build.gradle file.
    • Once the Android SDK settings are updated, press “Try Again” button.
    • This entire process is given below:
      OpenCV-Android-Update-DefaultProject-SDK-Information
    • Now. we need to fix library association.
  5. Looking good so far! We now need to make sure that the OpenCV for Android libraries are associated with our Android Studio project. Currently, Android Studio will not recognize the OpenCV code that we type in our files. We fix this as follows.
    • Go to File>Project Structure.
    • When window opens, under Modules, select app.
    • Click Dependencies.
    • Click +.
    • Select Module Dependencies.
    • (In my case) Select :openCVLibrary300.
    • Press Ok and Ok.
    • After a few seconds, the libraries will be associated with your Android project.
    • This entire process is shown here:
      OpenCV-SDK-library-association
    • You can now write more OpenCV code in future in the same project.
  6. We did it! Project is ready for future OpenCV development.

This concludes this tutorial. You are now ready to start making your own Android Studio Project that consists of OpenCV SDK features limited only by your imagination. In the next tutorial, I will SHOW CAMERA on android app screen using OpenCV. Make sure that you read it. Do not forget to SHARE this post and write your opinions, ideas and views  in the  COMMENT  section below.

Thanks for reading :). Please like my Facebook page and follow my Twitter for more tutorials.

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Learning the Packages of OpenCV SDK for Android

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In the previous tutorial, you learnt about the file structure of OpenCV SDK for Android. Now, we will learn the packages which are available for us to use in OpenCV SDK for Android. At the end of this tutorial, you will definitely know what OpenCV for android has to offer.

Each package is imported like this:

Each packages has java classes which contain functions which you use.

First of all, lets find the packages in the sdk folder manually. On your computer, once you have downloaded the OpenCV SDK, you can browse to the following address in order to find all the OpenCV for Android classes.

OpenCV-android-sdk\sdk\java\src\org\opencv

There, you will find the following packages (OpenCV 3.0):

Also, when you have created an OpenCV project in Android Studio, you will find the packages in the project browser like this:

Now, I will explain to you the purpose of each and every package so that you learn about OpenCV without any effort :D. You won’t regret coming on my blog 🙂

Note that each package can be imported like this as I told before:

Package  Name Purpose Description
android OpenCV interaction with Android platform This package has functions which can allow you to implement an OpenCV project in your Android device. This package handles interactions between OpenCV and Your phone.
calib3d  Project 3D coordinates of objects in a scene. “calib3d” stands for Camera Calibration and 3D Reconstruction. This package has functions which can determine 3D coordinates of objects. So lets say you have a box in a picture. calib3D functions can project 3D coordinates of that box if you provide “intrinsic” and “extrinsic” coordinates.

There are functions to estimate intrinsic and extrinsic parameters 🙂

core Brain of OpenCV. Does all what OpenCV does elsewhere.  “core” is the core package of OpenCV. This package contains functions which provide the base functionality of OpenCV. This include mathematical and matrix operations, algorithmic procedures and much more.

This library is not responsible for image processing. That library is called “imgproc” and it is discussed below.

engine  Provides basic information about current OpenCV SDK installation in your project  Basically, if in your project, you wish to obrain basic information about your OpenCV SDK such as  its packages, version, SDK path, and list of libraries.

Moreover, you can specify a specific version of OpenCV that user’s phone should download from play store. Pretty cool, right?

features2d  Detect and track features in a a 2D test image/frame  You will use this library to detect features, draw them and track them on the screen.
imgcodecs  Read/write images from your disc  Well, imagine you wish to work on an image that is in your disk instead of receiving it from camera. In this case, you will use this library. Its functions allow you to do the following:

  • Read single image
  • Read multiple images
  • Write an image (output)
  • Read specific formats of images in different ways to suit your project and purpose (encode/decode)
imgproc  Image Processing. DUH!  Whether you have loaded an image, or are using camera as input, you will be needing OpenCV to process the image. Well, “imgproc” is the library that has all the functions that you can use, manipulate and exploit to your liking.

This library has functions and classes which allow you to blur image, draw shapes, compare shapes, write text on image, apply enhancement functions and much, much, much more!

This library also has functions which detect points of interest of your liking.

ml  Machine Learning (Artificial Intelligence)  You can train OpenCV to do do Computer Vision according to your requirements. All you need to do is to teach it.

This library has classes and functions that train OpenCV to perform computer vision job for you 🙂

 

objdetect  Detect features or an object  This library has functions that give you the ability to implement detection of a specific custom-defined object in an image or camera feed.

Ever heard of Haar like feature detection? You can do that in this library.

photo  Image Enhancement  This library handles Image enhancement.

Want to set ISO? Exposure setting? contrast? Saturation? hue? Shit? Well, this library has all these functionalities and much more! You can calibrate so much.

One interesting feature is de-noising which will let you play with noise in your image ;D. Useful, right?

utils  Compatibility converters to support different formats of data This library has functions that convert image data from one mathematical format into another. For example, you can convert from one matrix format into another for image processing using a specifically designed code. It is a life saver.
video  Video Processing  This library will help you to perform video processing. You can track objects in a video, subtract background, apply video filters and much more.
videoio  Interact with video files  Using this library, you can open video files, open different format of video files and work with them.

 

This tutorial was brief and was supposed to give you the starting knowledge in order to grow your knowledge about OpenCV by yourself. Let me know in the comments what you think. I will be glad to answer. Now proceed to hte next tutorial 🙂

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