berak

;try this ;)


void* cv_createFisherFaceRecognizer(int num_components, double threshold) 
{
  typedef Ptr<FaceRecognizer> ptr_fr;
  ptr_fr _retval_ = cv::createFisherFaceRecognizer(num_components, threshold);
  
  return (void*)(new ptr_fr(_retval_));
}

berak

>echo -n ../cmake-2.8.12.1/bin/cmake -G \"Unix Makefiles\" -DOPENCV_EXTRA_MODULE
S_PATH=../opencv_contrib/modules -DBUILD_TIFF=> cm.in
echo -n  ON -DWITH_TIFF=ON -DWITH_IPP=ON -DBUILD_PNG=ON -DWITH_PNG=>> cm.in
echo -n ON -DBUILD_ZLIB=ON -DWITH_JASPER=OFF -DWITH_OPENEXR=OFF -DBUILD_OPENEXR=
OFF -DBUILD_SHARED_LIBS= >> cm.in
echo -n  OFF -DCMAKE_INSTALL_PREFIX=/app/ocv3 -DBUILD_TESTS=OFF -DBUILD_PERF_TES
TS=  >> cm.in
echo  OFF -DBUILD_opencv_apps=OFF -DBUILD_examples=OFF -DANT_EXECUTABLE=../apach
e-ant-1.9.4/bin/ant >> cm.in

berak

#include "opencv2/opencv.hpp"

using namespace cv;
using namespace std;


#ifndef CV_SQR
#  define CV_SQR(x)  ((x)*(x))
#endif

berak

    // If no image path was given, then supply some information on how this tool works
    const char *keys =
            "{ help h ?       |               | show this message }"
            "{ images i       |               | folder_location }"
            "{ annotations a  |annotations.txt| ouput_file }"
            ;

    CommandLineParser parser(argc, argv, keys);
    String image_folder = parser.get<String>("images");

berak

//
//  void initUndistortRectifyMap(Mat K, Mat D, Mat R, Mat P, Size size, int m1type, Mat& map1, Mat& map2)
//

JNIEXPORT void JNICALL Java_org_opencv_calib3d_Calib3d_initUndistortRectifyMap_10 (JNIEnv*, jclass, jlong, jlong, jlong, jlong, jdouble, jdouble, jint, jlong, jlong);

JNIEXPORT void JNICALL Java_org_opencv_calib3d_Calib3d_initUndistortRectifyMap_10
  (JNIEnv* env, jclass , jlong K_nativeObj, jlong D_nativeObj, jlong R_nativeObj, jlong P_nativeObj, jdouble size_width, jdouble size_height, jint m1type, jlong map1_nativeObj, jlong map2_nativeObj)
{

berak

#include <iostream>
#include "opencv2/opencv.hpp"
using namespace cv;
using namespace std;

int main(int argc, char **argv) 
{
    cv::Mat trainingData, trainingLabels;

    vector<String> fn;

berak

import org.opencv.core.*;
import org.opencv.imgproc.*;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.videoio.*;

class SimpleSample {
    static{ System.loadLibrary(Core.NATIVE_LIBRARY_NAME); }

    //~ static int fcc(char a, char b, char c, char d) {
        //~ return (d<<24 | c<<16 | b<<8 | a);

berak

db = {
  _get: function(hook,key,who,proc) {
    hook.datastore.get(key, function(err, result){
      if (err) { return hook.res.end(err.message); }
      proc(hook,result,who);
    });
  },
  _setraw: function(hook,key,val,proc) {
    hook.datastore.set(key, val, function(err, val){
      if (err) { return hook.res.end(err.message); }

berak

#include <opencv2/opencv.hpp>
#include "face_x.h"


FaceX face_x("model.xml.gz");

// if you have a Rect, e.g. from CascadeDetector:
std::vector<cv::Point2d> landmarks = face_x.Alignment(img, cv::Rect(0,0,img.cols,img.rows));

// or track previous landmarks:

berak

#include <opencv2/opencv.hpp>
#include <opencv2/core/core_c.h> // needed for IplImage ;(

#include <dlib/image_processing.h>
#include <dlib/opencv/cv_image.h>

// IMPORTANT:
// do **not** use namespace cv or dlib,
// but prefix everything correctly !!!