Actually when I try to run my project I face the following error:
22:51:45 * Incremental Build of configuration Default for project DarwinWallet * "D:\FYP\android-ndk-r10e\ndk-build.cmd" all [armeabi-v7a] Compile++ thumb: native_wallet <= jni_recognizer.cpp jni/jni_recognizer.cpp:2:33: fatal error: opencv2/core/core.hpp: No such file or directory #include <opencv2 core="" core.hpp=""> ^ compilation terminated. make.exe: * [obj/local/armeabi-v7a/objs/native_wallet/jni_recognizer.o] Error 1
My Android.mk is given below:
OPENCV_INSTALL_MODULES:=on
include $(OPENCV_MK_PATH)
Profiler
-include android-ndk-profiler.mk
include ../includeOpenCV.mk
ifeq ("$(wildcard $(OPENCV_MK_PATH))","")
try to load OpenCV.mk from default install location
include $(TOOLCHAIN_PREBUILT_ROOT)/user/share/OpenCV/OpenCV.mk
else
include $(OPENCV_MK_PATH)
endif
LOCAL_C_INCLUDES:=D:\FYP\darwinwallet-master\OpenCV-2.4.9-android-sdk\sdk\native\jni\include
LOCAL_MODULE:=native_wallet LOCAL_SRC_FILES:=jni_recognizer.cpp NativeVision\vision.cpp LOCAL_CFLAGS=-ffast-math -O3 -funroll-loops
LOCAL_CFLAGS=-O3 -funroll-loops
LOCAL_LDLIBS+=-llog -ldl
Profiling
LOCAL_CFLAGS:=-pg
LOCAL_STATIC_LIBRARIES:=andprof
include $(BUILD_SHARED_LIBRARY)
jni_recognizer.cpp is given below:
include <jni.h>
include <opencv2 core="" core.hpp="">
include <opencv2 imgproc="" imgproc.hpp="">
include <opencv2 features2d="" features2d.hpp="">
include <opencv2 highgui="" highgui.hpp="">
include <vector>
include "NativeVision/vision.h"
include <time.h>
include <android log.h="">
using namespace std; using namespace cv;
define LOGD(...) __android_log_print(ANDROID_LOG_DEBUG, "JNI_DEBUGGING", __VA_ARGS__)
double diffclock(clock_t clock1,clock_t clock2) { double diffticks=clock2-clock1; double diffms=(diffticks*1000)/ CLOCKS_PER_SEC;
return diffms;
}
static Ptr<orb> detector; static Ptr<descriptormatcher> descriptorMatcher;
static vector<mat> trainImages; static bool training_complete = false;
static vector<string> billMapping;
extern "C" { JNIEXPORT void JNICALL Java_com_ndu_mobile_darwinwallet_Recognizer_nvInitialize(JNIEnv* env, jobject thiz) {
LOGD( "Started nvInitialize" );
detector = getQueryDetector();
descriptorMatcher = getMatcher();
LOGD( "Finished nvInitialize" );
}
}
extern "C" { JNIEXPORT void JNICALL Java_com_ndu_mobile_darwinwallet_Recognizer_nvResetTrainedDatabase(JNIEnv* env, jobject thiz) { LOGD( "Started nvResetTrainedDatabase" );
training_complete = false;
descriptorMatcher = getMatcher();
trainImages.clear();
billMapping.clear();
LOGD( "Finished nvResetTrainedDatabase" );
}
} extern "C" { JNIEXPORT void JNICALL Java_com_ndu_mobile_darwinwallet_Recognizer_nvTrainImage(JNIEnv* env, jobject thiz, jstring billname, jstring billpath) { //char* _imgBytes = (char*) env->GetPrimitiveArrayCritical(imgBytes, 0); const char * _billpath = env->GetStringUTFChars(billpath, 0); const char * _billname = env->GetStringUTFChars(billname, 0);
LOGD( "Started nvTrainImage" );
std::ostringstream out;
//std::ostringstream out;
//out << " : billname: " << _billname << ": BILLPATH: " << billpath << endl;
LOGD( out.str().c_str() );
//LOGD( "nvTrainImage: 1" );
//Mat mgray(1, bytelength, CV_8U, (unsigned char *)_imgBytes);
//LOGD( "nvTrainImage: 2" );
Mat img = imread(_billpath, 0);
//Mat img = imread("/sdcard/wallet/us/100b/full_pic.jpg", 0);
//LOGD( "nvTrainImage: 3" );
Mat trainData = trainImage( img, detector, descriptorMatcher );
out << "nvTrainImage: " << _billpath << " (" << trainData.rows << " x " << trainData.cols << ")" << endl;
LOGD( out.str().c_str() );
trainImages.push_back(trainData);
string billstr(_billname);
billMapping.push_back(billstr);
LOGD( "Finished nvTrainImage" );
env->ReleaseStringUTFChars(billpath, _billpath);
env->ReleaseStringUTFChars(billname, _billname);
//env->ReleasePrimitiveArrayCritical(imgBytes, _imgBytes, 0);
}
} extern "C" { JNIEXPORT void JNICALL Java_com_ndu_mobile_darwinwallet_Recognizer_nvFinalizeTraining(JNIEnv* env, jobject thiz) { LOGD( "Started nvFinalizeTraining" ); descriptorMatcher->add(trainImages); descriptorMatcher->train();
training_complete = true;
LOGD( "Finished nvFinalizeTraining" );
}
}
extern "C" { JNIEXPORT jstring JNICALL Java_com_ndu_mobile_darwinwallet_Recognizer_nvRecognize(JNIEnv* env, jobject thiz, jint width, jint height, jbyteArray yuv) { jbyte* _yuv = env->GetByteArrayElements(yuv, 0); //jint* _bgra = env->GetIntArrayElements(bgra, 0);
LOGD( "Started nvFindFeatures" );
jstring response = env->NewStringUTF("");
if (training_complete == true)
{
clock_t begin;
clock_t end;
//Mat myuv(height + height/2, width, CV_8UC1, (unsigned char *)_yuv);
//Mat mbgra(height, width, CV_8UC4);
Mat mgray(height, width, CV_8UC1, (unsigned char *)_yuv);
//Mat myuv(width, 1, CV_8U, (unsigned char *)_yuv);
//Mat mgray = imdecode(myuv, 0);
//Please make attention about BGRA byte order
//ARGB stored in java as int array becomes BGRA at native level
//cvtColor(myuv, mbgra, CV_YUV420sp2BGR, 4);
vector<KeyPoint> v;
//FastFeatureDetector detector(50);
//detector.detect(mgray, v);
float divisor = 1;
if (height < width)
{
divisor = (((double) height) / 240);
}
else
{
divisor = (((double) width) / 240);
}
if (divisor == 0)
divisor = 1;
Size idealSize(width/divisor, height/divisor);
Mat mgray_small;
resize(mgray, mgray_small, idealSize);
Mat descriptors;
vector<DMatch> matches;
begin=clock();
//detector->detect(mgray_small, v);
//descriptorExtractor->compute( mgray_small, v, descriptors );
//surfStyleMatching( descriptorMatcher, descriptors, matches );
Mat* dummy;
//imwrite("/sdcard/wallet_debug.jpg", mgray_small );
bool debug_on = true;
int debug_matches[billMapping.size()];
RecognitionResult result = recognize( mgray_small, false, dummy, detector, descriptorMatcher, billMapping,
debug_on, debug_matches);
end=clock();
std::ostringstream out;
out << "time: " << diffclock(begin, end) << " ms | matches: " << matches.size() << endl;
if (debug_on)
{
for (int k = 0; k < billMapping.size(); k++)
out << " --" << billMapping[k] << " : " << debug_matches[k] << endl;
}
out << "orig_width: " << width << "orig_height: " << height << endl;
out << "divisor: " << divisor << endl;
//LOGD( (char*) out.str().c_str());
if (result.haswinner == false)
out << "No winner :(" << endl;
else
{
out << "Big Winner! " << result.winner << " : " << result.confidence << endl;
std::ostringstream responsetext;
responsetext << result.winner << "," << result.confidence;
response = env->NewStringUTF(responsetext.str().c_str());
}
LOGD( (char*) out.str().c_str());
//for( size_t i = 0; i < v.size(); i++ )
// circle(mbgra, Point(v[i].pt.x, v[i].pt.y), 10, Scalar(0,0,255,255));
}
LOGD( "Finished nvFindFeatures" );
//env->ReleaseIntArrayElements(bgra, _bgra, 0);
env->ReleaseByteArrayElements(yuv, _yuv, 0);
return response;
}
}