Example usage for org.opencv.core Core randn

Introduction

In this page you can find the example usage for org.opencv.core Core randn.

Prototype

public static void randn(Mat dst, double mean, double stddev) 

Source Link

Usage

From source file:com.trandi.opentld.tld.PatchGenerator.java

License:Apache License

/**
 * /*from ww  w.  j a  v a 2s.  c om*/
 * @param image
 * @param T
 * @param patch OUTPUT
 * @param patchSize
 */
void generate(final Mat image, final Mat T, Mat patch, Size patchSize, final RNG rng) {
    patch.create(patchSize, image.type());
    if (backgroundMin != backgroundMax) {
        Core.randu(patch, backgroundMin, backgroundMax);
        // TODO if that null scalar OK or should it be new Scalar(0) ?
        Imgproc.warpAffine(image, patch, T, patchSize, Imgproc.INTER_LINEAR, Core.BORDER_TRANSPARENT, null);
    } else {
        Imgproc.warpAffine(image, patch, T, patchSize, Imgproc.INTER_LINEAR, Core.BORDER_CONSTANT,
                new Scalar(backgroundMin));
    }

    int ksize = randomBlur ? rng.nextInt() % 9 - 5 : 0;
    if (ksize > 0) {
        ksize = ksize * 2 + 1;
        Imgproc.GaussianBlur(patch, patch, new Size(ksize, ksize), 0, 0);
    }

    if (noiseRange > 0) {
        final Mat noise = new Mat(patchSize, image.type());
        int delta = (image.depth() == CvType.CV_8U ? 128 : (image.depth() == CvType.CV_16U ? 32768 : 0));
        Core.randn(noise, delta, noiseRange);

        // TODO this was different !!
        Core.addWeighted(patch, 1, noise, 1, -delta, patch);

        //           if( backgroundMin != backgroundMax )
        //               addWeighted(patch, 1, noise, 1, -delta, patch);
        //           else
        //           {
        //               for( int i = 0; i < patchSize.height; i++ )
        //               {
        //                   uchar* prow = patch.ptr<uchar>(i);
        //                   const uchar* nrow =  noise.ptr<uchar>(i);
        //                   for( int j = 0; j < patchSize.width; j++ )
        //                       if( prow[j] != backgroundMin )
        //                           prow[j] = saturate_cast<uchar>(prow[j] + nrow[j] - delta);
        //               }
        //           }
    }
}

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From source file:syncleus.dann.data.video.PatchGenerator.java

License:Apache License

/**
 * //from   ww  w  .j  ava  2  s. co m
 * @param image
 * @param T
 * @param patch OUTPUT
 * @param patchSize
 */
void generate(final Mat image, final Mat T, Mat patch, Size patchSize, final RNG rng) {
    patch.create(patchSize, image.type());
    if (backgroundMin != backgroundMax) {
        Core.randu(patch, backgroundMin, backgroundMax);
        // TODO if that null scalar OK or should it be new Scalar(0) ?
        Imgproc.warpAffine(image, patch, T, patchSize, Imgproc.INTER_LINEAR, Imgproc.BORDER_TRANSPARENT, null);
    } else {
        Imgproc.warpAffine(image, patch, T, patchSize, Imgproc.INTER_LINEAR, Imgproc.BORDER_CONSTANT,
                new Scalar(backgroundMin));
    }

    int ksize = randomBlur ? rng.nextInt() % 9 - 5 : 0;
    if (ksize > 0) {
        ksize = ksize * 2 + 1;
        Imgproc.GaussianBlur(patch, patch, new Size(ksize, ksize), 0, 0);
    }

    if (noiseRange > 0) {
        final Mat noise = new Mat(patchSize, image.type());
        int delta = (image.depth() == CvType.CV_8U ? 128 : (image.depth() == CvType.CV_16U ? 32768 : 0));
        Core.randn(noise, delta, noiseRange);

        // TODO this was different !!
        Core.addWeighted(patch, 1, noise, 1, -delta, patch);

        //           if( backgroundMin != backgroundMax )
        //               addWeighted(patch, 1, noise, 1, -delta, patch);
        //           else
        //           {
        //               for( int i = 0; i < patchSize.height; i++ )
        //               {
        //                   uchar* prow = patch.ptr<uchar>(i);
        //                   const uchar* nrow =  noise.ptr<uchar>(i);
        //                   for( int j = 0; j < patchSize.width; j++ )
        //                       if( prow[j] != backgroundMin )
        //                           prow[j] = saturate_cast<uchar>(prow[j] + nrow[j] - delta);
        //               }
        //           }
    }
}

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