mat

I need to convert between OpenCV Mat image and Leptonica Pix image formats in C++. This is being used for binarization of 8bit gray images. loot I found found @ikarliga's answer worked for me because what I needed was to actually convert to the Mat format not necessarily use it with the Tesseract API which is what that OP was asking. Here are both the functions I use. The pix8ToMat function is taken from the node-dv project Pix *mat8ToPix(cv::Mat *mat8) { Pix *pixd = pixCreate(mat8->size().width, mat8->size().height, 8); for(int y=0; y<mat8->rows; y++) { for(int x=0; x<mat8->cols; x++) {

i am working on an android project using opencv , i am creating a histogram for a black and white image (1-0 values on image file) . i am following some tutorials i found on internet on how to create the histogram . i am doing something like this ArrayList<Mat> list = new ArrayList<Mat>(); list.add(mRgba); MatOfInt channels = new MatOfInt(0); Mat hist= new Mat(); MatOfInt histSize = new MatOfInt(25); MatOfFloat ranges = new MatOfFloat(0f, 1f); Imgproc.calcHist(list, channels, new Mat(), hist, histSize, ranges); Then i want to view the data on hist Mat, if i try something like this... for(int i

I know the version issues of mat files which correspond to different loading modules in python, namely scipy.io and h5py . I also searched a lot of similar problems like scipy.io.loadmat nested structures (i.e. dictionaries) and How to preserve Matlab struct when accessing in python? . But they both fail when it comes to more complex mat files. My anno_bbox.mat file structure is shown as follows: The first two level: In the size: In the hoi: In the hoi bboxhuman: When I use spio.loadmat('anno_bbox.mat', struct_as_record=False, squeeze_me=True) , it could only get the first level information as

I'm trying to match an image with the camera input in Android using template matching. When i try this with static 2 images like in here: OpenCV Template Matching example in Android , everything works just fine. But when I try to use the captured images from the camera, I do not get the correct result. Following is the code that I have written: String baseDir = Environment.getExternalStorageDirectory().getAbsolutePath(); Mat img = Highgui.imread(baseDir + "/mediaAppPhotos/img2.png"); Mat templ = Highgui.imread(baseDir+ "/mediaAppPhotos/chars.png"); int result_cols = img.cols() - templ.cols() +