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OpenCV Python Homography Example. If you liked this article and would like to download code. Please subscribe to our newsletter. You will also receive a free Computer Vision Resource guide. In our newsletter we share OpenCV tutorials and examples written in C++/Python, and Computer Vision and Machine Learning algorithms and news. I want to calibrate my android camera without chessboard for 3d reconstruction, so I need my intrinsic and extrin. Stack Overflow. Android camera calibration without chessboard. Browse other questions tagged android opencv camera-calibration 3d-reconstruction or ask your own question.

I know there is some post talking about this topic but I could not find my answer.

I want to calibrate my android camera without chessboard for 3d reconstruction, so I need my intrinsic and extrinsic parameters.

My first goal is to extract the 3D real system to be able to put some 3d Model on screen.

My step :

• From a picture of a building I extract 4 points that represent the real 3D system

• /! this step require camera calibration /!

  Convert them to 3d Point (solvePnP for exemple)

• Then from my 3D Axis I create a OpenGL projection and modelview matrix

My main problem is that I want to avoid a calibration step, so how can calibrate without chessboard? I have some data from android such as focal length. I can guess that the projection center is the center of my camera picture.

Any idea or advice? or other way to do it ?

1 Answer

here is nochess calibation of qtcalib.

This scheme is recomended when you need obtain a camera calibration from a image that don't have calibration chessboard. In this case, you can approximate the camera calibration if you know 4 points in the image forming a flat rectangle in real world. Is important to remark that the aproximated calibration depends on the 4 selected points and the values that you will set for the dimensions of the rectangle

Not the answer you're looking for? Browse other questions tagged androidopencvcamera-calibration3d-reconstruction or ask your own question.

I want to use Android Studio to develop an app using Gradle build tool. I can not insert the OpenCV repo and library on build.gradle. My .gradle file is like below:

How can I add OpenCV in my project?

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12 Answers

You can do this very easily in Android Studio.

Follow the below steps to add Open CV in your project as library.

1. Create a libraries folder underneath your project main directory. For example, if your project is OpenCVExamples, you would create a OpenCVExamples/libraries folder.

2. Go to the location where you have SDK 'OpenCV-2.4.8-android-sdksdk' here you will find the java folder, rename it to opencv.

3. Now copy the complete opencv directory from the SDK into the libraries folder you just created.

4. Now create a build.gradle file in the opencv directory with the following contents

5. Edit your settings.gradle file in your application’s main directory and add this line:

6. Sync your project with Gradle and it should looks like this

7. Right click on your project then click on the Open Module Settings then Choose Modules from the left-hand list, click on your application’s module, click on the Dependencies tab, and click on the + button to add a new module dependency.

8. Choose Module dependency. It will open a dialog with a list of modules to choose from; select “:libraries:opencv”.

9. Create a jniLibs folder in the /app/src/main/ location and copy the all the folder with *.so files (armeabi, armeabi-v7a, mips, x86) in the jniLibs from the OpenCV SDK.

10. Click OK. Now everything done, go and enjoy with OpenCV.

As per OpenCV docs(1), below steps using OpenCV manager is the recommended way to use OpenCV for production runs. But, OpenCV manager(2) is an additional install from Google play store. So, if you prefer a self contained apk(not using OpenCV manager) or is currently in development/testing phase, I suggest answer at https://stackoverflow.com/a/27421494/1180117.

Recommended steps for using OpenCV in Android Studio with OpenCV manager.

1. Unzip OpenCV Android sdk downloaded from OpenCV.org(3)
2. From File -> Import Module, choose sdk/java folder in the unzipped opencv archive.
3. Update build.gradle under imported OpenCV module to update 4 fields to match your project's build.gradle a) compileSdkVersion b) buildToolsVersion c) minSdkVersion and 4) targetSdkVersion.
4. Add module dependency by Application -> Module Settings, and select the Dependencies tab. Click + icon at bottom(or right), choose Module Dependency and select the imported OpenCV module.

As the final step, in your Activity class, add snippet below.

Note: You could only make OpenCV calls after you receive success callback on onManagerConnected method. During run, you will be prompted for installation of OpenCV manager from play store, if it is not already installed. During development, if you don't have access to play store or is on emualtor, use appropriate OpenCV manager apk present in apk folder under downloaded OpenCV sdk archive .

Pros

• Apk size reduction by around 40 MB ( consider upgrades too ).
• OpenCV manager installs optimized binaries for your hardware which could help speed.
• Upgrades to OpenCV manager might save your app from bugs in OpenCV.
• Different apps could share same OpenCV library.

Cons

• End user experience - might not like a install prompt from with yourapplication.

If you don't want to use JavaCV this works for me..

Download OpenCV Android SDK from http://opencv.org/downloads.html

Copy libopencv_info.so & libopencv_java.so from

OpenCV-2.?.?-android-sdk -> sdk -> native -> libs -> armeabi-v7a

to

Project Root -> Your Project -> lib - > armeabi-v7a

Zip the lib folder up and rename that zip to whatever-v7a.jar.

Copy this .jar file and place it in here in your project

Project Root -> Your Project -> libs

Add this line to your projects build.gradle in the dependencies section

compile files('libs/whatever-v7a.jar')

When you compile now you will probably see your .apk is about 4mb bigger.

(Repeat for 'armeabi' if you want to support ARMv6 too, likely not needed anymore.)

Copy the java folder from here

OpenCV-2.?.?-android-sdk -> sdk

to

Project Root -> Your Project -> libs (Same place as your .jar file);

(You can rename the 'java' folder name to 'OpenCV')

In this freshly copied folder add a typical build.gradle file; I used this:

In your Project Root settings.gradle file change it too look something like this:

include ':Project Name:libs:OpenCV', ':Project Name'

In your Project Root -> Project Name -> build.gradle file in the dependencies section add this line: Translate aksara jawa.

compile project(':Project Name:libs:OpenCV')

Rebuild and you should be able to import and start using OpenCV in your project.

I know this if a bit of hack but I figured I would post it anyway.

Since the integration of OpenCV is such an effort, we pre-packaged it and published it via JCenter here: https://github.com/quickbirdstudios/opencv-android

Just include this in your module's build.gradle dependencies section

and this in your project's build.gradle repositories section

You won't get lint error after gradle import but don't forget to initialize the OpenCV library like this in MainActivity

I have posted a new post about how to build an Android NDK application with OpenCV includedusing Android Studio and Gradle. More information can be seen here, I have summarized two methods:

(1) run ndk-build within Gradle task

(2) run ndk-build with an external tool

Parameters: NDK_PROJECT_PATH=$ModuleFileDir$/build/intermediates/ndk NDK_LIBS_OUT=$ModuleFileDir$/src/main/jniLibs NDK_APPLICATION_MK=$ModuleFileDir$/src/main/jni/Application.mk APP_BUILD_SCRIPT=$ModuleFileDir$/src/main/jni/Android.mk V=1

More information can be seen here

It works with Android Studio 1.2 + OpenCV-2.4.11-android-sdk (.zip), too.

Just do the following:

1) Follow the answer that starts with 'You can do this very easily in Android Studio. Follow the steps below to add OpenCV in your project as library.' by TGMCians.

2) Modify in the <yourAppDir>librariesopencv folder your newly created build.gradle to (step 4 in TGMCians' answer, adapted to OpenCV2.4.11-android-sdk and using gradle 1.1.0):

3) *.so files that are located in the directories 'armeabi', 'armeabi-v7a', 'mips', 'x86' can be found under (default OpenCV-location): .OpenCV-2.4.11-android-sdkOpenCV-android-sdksdknativelibs (step 9 in TGMCians' answer).

Enjoy and if this helped, please give a positive reputation. I need 50 to answer directly to answers (19 left) :)

These are the steps necessary to use OpenCV with Android Studio 1.2:

• Download OpenCV and extract the archive
• Open your app project in Android Studio
• Go to File -> New -> Import Module..
• Select sdk/java in the directory you extracted before
• Set Module name to opencv
• Press Next then Finish
• Open build.gradle under imported OpenCV module and update compileSdkVersion and buildToolsVersion to versions you have on your machine

• Add compile project(':opencv') to your app build.gradle

• Press Sync Project with Gradle Files

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I've imported the Java project from OpenCV SDK into an Android Studio gradle project and made it available at https://github.com/ctodobom/OpenCV-3.1.0-Android

You can include it on your project only adding two lines into build.gradle file thanks to jitpack.io service.

The OpenCV Android SDK has an example gradle.build file with helpful comments: https://github.com/opencv/opencv/blob/master/modules/java/android_sdk/build.gradle.in

The following permissions and features are necessary in the AndroidManifest.xml file without which you will get the following dialog box

'It seems that your device does not support camera (or it is locked). Application will be closed'

OpenCV, Android Studio 1.4.1, gradle-experimental plugin 0.2.1

None of the other answers helped me. Here's what worked for me. I'm using the tutorial-1 sample from opencv but I will be doing using the NDK in my project so I'm using the gradle-experimental plugin which has a different structure than the gradle plugin.

Android studio should be installed, the Android NDK should be installed via the Android SDK Manager, and the OpenCV Android SDK should be downloaded and unzipped.

This is in chunks of bash script to keep it compact but complete. It's also all on the command line because on of the big problems I had was that in-IDE instructions were obsolete as the IDE evolved.

First set the location of the root directory of the OpenCV SDK.

Create your gradle build files..

First the OpenCV library

Then tell the tutorial sample what to label the library as and where to find it.

Create the build file for the tutorial.

Your build tools version needs to be set correctly. Here's an easy wayto see what you have installed. (You can install other versions via theAndroid SDK Manager). Change buildToolsVersion if you don't have 23.0.2.

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Change the environment variable on the first line to your version number

Finally, set up the correct gradle wrapper. Gradle needs a clean directoryto do this.

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You should now be all set. You can now browse to this directory with Android Studio and open up the project.

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Build the tutoral on the command line with the following command:

It should build your apk, putting it in ./build/outputs/apk

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