opencv4android

I am in the process of trying to develop a document scanner within an application of mine. As an example of what I want to achieve you can take a look at the Google document t scanner built into the Google drive app. This allows Detect edges Manipulate into perspective Display top down view of document I have been looking at a number of 3rd party api to see if this can be achieved but they seem more focused on OCR. Which is not a priority of mine. I have however stumbled across this document scanner Where it makes a document scanner using java open cv. Within the comments someone asked about

I am new to OpenCv4Android. I am trying to auto detect document using OpenCv4Android sdk. Initially i have gone through issue of landscape opencv camera . Somehow i managed to change the orientation of opencv JavaCameraview to portrait. I made following changes in default classes of opencv sdk to orient opencv camera in portrait : 1) In CameraBridgeViewBase class Matrix matrix = new Matrix(); matrix.setRotate(90f); Bitmap bitmap = Bitmap.createBitmap(mCacheBitmap, 0, 0, mCacheBitmap.getWidth(), mCacheBitmap.getHeight(), matrix, true); 2) now in drawbitmap method replace above bitmap with

I want to create an Android application in which i want to detect human body from an image. I haven't started coding yet(its just an idea), so i am not able to show you any codes. I heard about OpenCV face detection for android. I have tried to use OpenCV face detection, But since i am newbie in android, i am not able to do so. My question is "Is there anything in OpenCV that can help me to detect whole human body rather than just face?", if YES then "is there any tutorials regarding this?" thanks for HELP in advance. Muhammad Younas Yes, it is possible to detect the human body in the form of

I am learning how to write C++ code using OpenCV and I want to run it in Android. I use Android Studio. I have created a new simple project with C++ support and then I added my test code to the C++ file. My own files compile and link, it seems. Now something else that I don't think is related to my project is causing many errors. It seems to be something inside NDK. Could it be a bug in the latest version, and if so, what can I do about it? C:/Android/sdk/ndk-bundle/toolchains/x86-4.9/prebuilt/windows-x86_64/lib/gcc/i686-linux-android/4.9.x/../../../../i686-linux-android/bin\ld: error: C:

I have been stuck on this problem for 2 days and have tried out all possible solutions given on stackoverflow. Below is my build.gradle file: apply plugin: 'com.android.application' android { compileSdkVersion 25 buildToolsVersion "25.0.3" sourceSets.main.jni.srcDirs = [] sourceSets.main.jniLibs.srcDir 'src/main/libs' defaultConfig { applicationId "com.example.anannyauberoi.testingcam" minSdkVersion 15 targetSdkVersion 25 versionCode 1 versionName "1.0" ndk { moduleName "app" cFlags "-std=c++11 -fexceptions" ldLibs "log" stl "gnustl_shared" abiFilter "armeabi-v7a" } } buildTypes { release {

I had this piece of code to be converted into Java using OpenCV4Android. But their are no Java-Wrappers for matiterator in OpenCV4Android. void show_result(const cv::Mat& labels, const cv::Mat& centers, int height, int width) { std::cout << "===\n"; std::cout << "labels: " << labels.rows << " " << labels.cols << std::endl; std::cout << "centers: " << centers.rows << " " << centers.cols << std::endl; assert(labels.type() == CV_32SC1); assert(centers.type() == CV_32FC1); cv::Mat rgb_image(height, width, CV_8UC3); cv::MatIterator_<cv::Vec3b> rgb_first = rgb_image.begin<cv::Vec3b>(); cv:

I have try below code using OpenCV functions cvtColor , Canny and HoughLinesP but not able to get accurate result or not work in some cases. private boolean opencvProcessCount(Uri picFileUri) { hairCount = 0; totalC = 0; //Log.e(">>>>>>>>","count " + picFileUri); try { InputStream iStream = getContentResolver().openInputStream(picFileUri); byte[] im = getBytes(iStream); BitmapFactory.Options opt = new BitmapFactory.Options(); opt.inDither = true; opt.inPreferredConfig = Bitmap.Config.ARGB_8888; Bitmap image = BitmapFactory.decodeByteArray(im, 0, im.length); Mat mYuv = new Mat(); Utils