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Commit 26bcb381 authored by Andrey Kamaev's avatar Andrey Kamaev
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Fix binary compatibility of opencv_contrib

parent 971d02cd
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Showing with 103 additions and 253 deletions
modules/contrib/include/opencv2/contrib/contrib.hpp
View file @ 26bcb381
...@@ -857,6 +857,17 @@ namespace cv ...@@ -857,6 +857,17 @@ namespace cv
LDA(int num_components = 0) : LDA(int num_components = 0) :
_num_components(num_components) {}; _num_components(num_components) {};
// Initializes and performs a Discriminant Analysis with Fisher's
// Optimization Criterion on given data in src and corresponding labels
// in labels. If 0 (or less) number of components are given, they are
// automatically determined for given data in computation.
LDA(const Mat& src, vector<int> labels,
int num_components = 0) :
_num_components(num_components)
{
this->compute(src, labels); //! compute eigenvectors and eigenvalues
}
// Initializes and performs a Discriminant Analysis with Fisher's // Initializes and performs a Discriminant Analysis with Fisher's
// Optimization Criterion on given data in src and corresponding labels // Optimization Criterion on given data in src and corresponding labels
// in labels. If 0 (or less) number of components are given, they are // in labels. If 0 (or less) number of components are given, they are
...@@ -917,7 +928,7 @@ namespace cv ...@@ -917,7 +928,7 @@ namespace cv
CV_WRAP virtual void train(InputArrayOfArrays src, InputArray labels) = 0; CV_WRAP virtual void train(InputArrayOfArrays src, InputArray labels) = 0;
// Updates a FaceRecognizer. // Updates a FaceRecognizer.
CV_WRAP virtual void update(InputArrayOfArrays src, InputArray labels); CV_WRAP void update(InputArrayOfArrays src, InputArray labels);
// Gets a prediction from a FaceRecognizer. // Gets a prediction from a FaceRecognizer.
virtual int predict(InputArray src) const = 0; virtual int predict(InputArray src) const = 0;
......
modules/contrib/include/opencv2/contrib/detection_based_tracker.hpp
View file @ 26bcb381
...@@ -12,66 +12,17 @@ class DetectionBasedTracker ...@@ -12,66 +12,17 @@ class DetectionBasedTracker
public: public:
struct Parameters struct Parameters
{ {
int minObjectSize;
int maxObjectSize;
double scaleFactor;
int maxTrackLifetime; int maxTrackLifetime;
int minNeighbors;
int minDetectionPeriod; //the minimal time between run of the big object detector (on the whole frame) in ms (1000 mean 1 sec), default=0 int minDetectionPeriod; //the minimal time between run of the big object detector (on the whole frame) in ms (1000 mean 1 sec), default=0
Parameters(); Parameters();
}; };
class IDetector DetectionBasedTracker(const std::string& cascadeFilename, const Parameters& params);
{
public:
IDetector():
minObjSize(96, 96),
maxObjSize(INT_MAX, INT_MAX),
minNeighbours(2),
scaleFactor(1.1f)
{}
virtual ~IDetector() {}
virtual void detect(const cv::Mat& image, std::vector<cv::Rect>& objects) = 0;
void setMinObjectSize(const cv::Size& min)
{
minObjSize = min;
}
void setMaxObjectSize(const cv::Size& max)
{
maxObjSize = max;
}
cv::Size getMinObjectSize() const
{
return minObjSize;
}
cv::Size getMaxObjectSize() const
{
return maxObjSize;
}
float getScaleFactor()
{
return scaleFactor;
}
void setScaleFactor(float value)
{
scaleFactor = value;
}
int getMinNeighbours()
{
return minNeighbours;
}
void setMinNeighbours(int value)
{
minNeighbours = value;
}
protected:
cv::Size minObjSize;
cv::Size maxObjSize;
int minNeighbours;
float scaleFactor;
};
DetectionBasedTracker(cv::Ptr<IDetector> mainDetector, cv::Ptr<IDetector> trackingDetector, const Parameters& params);
virtual ~DetectionBasedTracker(); virtual ~DetectionBasedTracker();
virtual bool run(); virtual bool run();
...@@ -81,39 +32,19 @@ class DetectionBasedTracker ...@@ -81,39 +32,19 @@ class DetectionBasedTracker
virtual void process(const cv::Mat& imageGray); virtual void process(const cv::Mat& imageGray);
bool setParameters(const Parameters& params); bool setParameters(const Parameters& params);
const Parameters& getParameters() const; const Parameters& getParameters();
typedef std::pair<cv::Rect, int> Object; typedef std::pair<cv::Rect, int> Object;
virtual void getObjects(std::vector<cv::Rect>& result) const; virtual void getObjects(std::vector<cv::Rect>& result) const;
virtual void getObjects(std::vector<Object>& result) const; virtual void getObjects(std::vector<Object>& result) const;
enum ObjectStatus
{
DETECTED_NOT_SHOWN_YET,
DETECTED,
DETECTED_TEMPORARY_LOST,
WRONG_OBJECT
};
struct ExtObject
{
int id;
cv::Rect location;
ObjectStatus status;
ExtObject(int _id, cv::Rect _location, ObjectStatus _status)
:id(_id), location(_location), status(_status)
{
}
};
virtual void getObjects(std::vector<ExtObject>& result) const;
virtual int addObject(const cv::Rect& location); //returns id of the new object
protected: protected:
class SeparateDetectionWork; class SeparateDetectionWork;
cv::Ptr<SeparateDetectionWork> separateDetectionWork; cv::Ptr<SeparateDetectionWork> separateDetectionWork;
friend void* workcycleObjectDetectorFunction(void* p); friend void* workcycleObjectDetectorFunction(void* p);
struct InnerParameters struct InnerParameters
{ {
int numLastPositionsToTrack; int numLastPositionsToTrack;
...@@ -159,11 +90,11 @@ class DetectionBasedTracker ...@@ -159,11 +90,11 @@ class DetectionBasedTracker
std::vector<float> weightsPositionsSmoothing; std::vector<float> weightsPositionsSmoothing;
std::vector<float> weightsSizesSmoothing; std::vector<float> weightsSizesSmoothing;
cv::Ptr<IDetector> cascadeForTracking; cv::CascadeClassifier cascadeForTracking;
void updateTrackedObjects(const std::vector<cv::Rect>& detectedObjects); void updateTrackedObjects(const std::vector<cv::Rect>& detectedObjects);
cv::Rect calcTrackedObjectPositionToShow(int i) const; cv::Rect calcTrackedObjectPositionToShow(int i) const;
cv::Rect calcTrackedObjectPositionToShow(int i, ObjectStatus& status) const;
void detectInRegion(const cv::Mat& img, const cv::Rect& r, std::vector<cv::Rect>& detectedObjectsInRegions); void detectInRegion(const cv::Mat& img, const cv::Rect& r, std::vector<cv::Rect>& detectedObjectsInRegions);
}; };
......
modules/contrib/src/detection_based_tracker.cpp
View file @ 26bcb381
#if defined(__linux__) || defined(LINUX) || defined(__APPLE__) || defined(ANDROID) #if defined(__linux__) || defined(LINUX) || defined(__APPLE__) || defined(ANDROID)
#include "opencv2/contrib/detection_based_tracker.hpp" #include "opencv2/contrib/detection_based_tracker.hpp"
#if defined(DEBUG) || defined(_DEBUG)
#undef DEBUGLOGS
#define DEBUGLOGS 1 #define DEBUGLOGS 1
#endif
#ifndef DEBUGLOGS
#define DEBUGLOGS 0
#endif
#ifdef ANDROID #ifdef ANDROID
#include <android/log.h> #include <android/log.h>
#include <pthread.h>
#define LOG_TAG "OBJECT_DETECTOR" #define LOG_TAG "OBJECT_DETECTOR"
#define LOGD0(...) ((void)__android_log_print(ANDROID_LOG_DEBUG, LOG_TAG, __VA_ARGS__)) #define LOGD0(...) ((void)__android_log_print(ANDROID_LOG_DEBUG, LOG_TAG, __VA_ARGS__))
#define LOGI0(...) ((void)__android_log_print(ANDROID_LOG_INFO, LOG_TAG, __VA_ARGS__)) #define LOGI0(...) ((void)__android_log_print(ANDROID_LOG_INFO, LOG_TAG, __VA_ARGS__))
...@@ -65,7 +57,7 @@ void* workcycleObjectDetectorFunction(void* p); ...@@ -65,7 +57,7 @@ void* workcycleObjectDetectorFunction(void* p);
class DetectionBasedTracker::SeparateDetectionWork class DetectionBasedTracker::SeparateDetectionWork
{ {
public: public:
SeparateDetectionWork(DetectionBasedTracker& _detectionBasedTracker, cv::Ptr<DetectionBasedTracker::IDetector> _detector); SeparateDetectionWork(DetectionBasedTracker& _detectionBasedTracker, const std::string& cascadeFilename);
virtual ~SeparateDetectionWork(); virtual ~SeparateDetectionWork();
bool communicateWithDetectingThread(const Mat& imageGray, vector<Rect>& rectsWhereRegions); bool communicateWithDetectingThread(const Mat& imageGray, vector<Rect>& rectsWhereRegions);
bool run(); bool run();
...@@ -88,7 +80,7 @@ class DetectionBasedTracker::SeparateDetectionWork ...@@ -88,7 +80,7 @@ class DetectionBasedTracker::SeparateDetectionWork
protected: protected:
DetectionBasedTracker& detectionBasedTracker; DetectionBasedTracker& detectionBasedTracker;
cv::Ptr<DetectionBasedTracker::IDetector> cascadeInThread; cv::CascadeClassifier cascadeInThread;
pthread_t second_workthread; pthread_t second_workthread;
pthread_mutex_t mutex; pthread_mutex_t mutex;
...@@ -116,7 +108,7 @@ class DetectionBasedTracker::SeparateDetectionWork ...@@ -116,7 +108,7 @@ class DetectionBasedTracker::SeparateDetectionWork
long long timeWhenDetectingThreadStartedWork; long long timeWhenDetectingThreadStartedWork;
}; };
DetectionBasedTracker::SeparateDetectionWork::SeparateDetectionWork(DetectionBasedTracker& _detectionBasedTracker, cv::Ptr<DetectionBasedTracker::IDetector> _detector) DetectionBasedTracker::SeparateDetectionWork::SeparateDetectionWork(DetectionBasedTracker& _detectionBasedTracker, const std::string& cascadeFilename)
:detectionBasedTracker(_detectionBasedTracker), :detectionBasedTracker(_detectionBasedTracker),
cascadeInThread(), cascadeInThread(),
isObjectDetectingReady(false), isObjectDetectingReady(false),
...@@ -124,10 +116,9 @@ DetectionBasedTracker::SeparateDetectionWork::SeparateDetectionWork(DetectionBas ...@@ -124,10 +116,9 @@ DetectionBasedTracker::SeparateDetectionWork::SeparateDetectionWork(DetectionBas
stateThread(STATE_THREAD_STOPPED), stateThread(STATE_THREAD_STOPPED),
timeWhenDetectingThreadStartedWork(-1) timeWhenDetectingThreadStartedWork(-1)
{ {
CV_Assert(!_detector.empty()); if(!cascadeInThread.load(cascadeFilename)) {
CV_Error(CV_StsBadArg, "DetectionBasedTracker::SeparateDetectionWork::SeparateDetectionWork: Cannot load a cascade from the file '"+cascadeFilename+"'");
cascadeInThread = _detector; }
int res=0; int res=0;
res=pthread_mutex_init(&mutex, NULL);//TODO: should be attributes? res=pthread_mutex_init(&mutex, NULL);//TODO: should be attributes?
if (res) { if (res) {
...@@ -212,7 +203,7 @@ void* workcycleObjectDetectorFunction(void* p) ...@@ -212,7 +203,7 @@ void* workcycleObjectDetectorFunction(void* p)
{ {
CATCH_ALL_AND_LOG({ ((DetectionBasedTracker::SeparateDetectionWork*)p)->workcycleObjectDetector(); }); CATCH_ALL_AND_LOG({ ((DetectionBasedTracker::SeparateDetectionWork*)p)->workcycleObjectDetector(); });
try{ try{
((DetectionBasedTracker::SeparateDetectionWork*)p)->stateThread = DetectionBasedTracker::SeparateDetectionWork::STATE_THREAD_STOPPED; ((DetectionBasedTracker::SeparateDetectionWork*)p)->stateThread=DetectionBasedTracker::SeparateDetectionWork::STATE_THREAD_STOPPED;
} catch(...) { } catch(...) {
LOGE0("DetectionBasedTracker: workcycleObjectDetectorFunction: ERROR concerning pointer, received as the function parameter"); LOGE0("DetectionBasedTracker: workcycleObjectDetectorFunction: ERROR concerning pointer, received as the function parameter");
} }
...@@ -222,7 +213,7 @@ void* workcycleObjectDetectorFunction(void* p) ...@@ -222,7 +213,7 @@ void* workcycleObjectDetectorFunction(void* p)
void DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector() void DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector()
{ {
static double freq = getTickFrequency(); static double freq = getTickFrequency();
LOGD("DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector() --- start"); LOGD0("DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector() --- start");
vector<Rect> objects; vector<Rect> objects;
CV_Assert(stateThread==STATE_THREAD_WORKING_SLEEPING); CV_Assert(stateThread==STATE_THREAD_WORKING_SLEEPING);
...@@ -286,17 +277,20 @@ void DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector() ...@@ -286,17 +277,20 @@ void DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector()
int64 t1_detect=getTickCount(); int64 t1_detect=getTickCount();
cascadeInThread->detect(imageSeparateDetecting, objects); int minObjectSize=detectionBasedTracker.parameters.minObjectSize;
Size min_objectSize = Size(minObjectSize, minObjectSize);
int maxObjectSize=detectionBasedTracker.parameters.maxObjectSize;
Size max_objectSize(maxObjectSize, maxObjectSize);
/*cascadeInThread.detectMultiScale( imageSeparateDetecting, objects,
cascadeInThread.detectMultiScale( imageSeparateDetecting, objects,
detectionBasedTracker.parameters.scaleFactor, detectionBasedTracker.parameters.minNeighbors, 0 detectionBasedTracker.parameters.scaleFactor, detectionBasedTracker.parameters.minNeighbors, 0
|CV_HAAR_SCALE_IMAGE |CV_HAAR_SCALE_IMAGE
, ,
min_objectSize, min_objectSize,
max_objectSize max_objectSize
); );
*/
LOGD("DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector() --- end handling imageSeparateDetecting"); LOGD("DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector() --- end handling imageSeparateDetecting");
if (!isWorking()) { if (!isWorking()) {
...@@ -307,7 +301,6 @@ void DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector() ...@@ -307,7 +301,6 @@ void DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector()
int64 t2_detect = getTickCount(); int64 t2_detect = getTickCount();
int64 dt_detect = t2_detect-t1_detect; int64 dt_detect = t2_detect-t1_detect;
double dt_detect_ms=((double)dt_detect)/freq * 1000.0; double dt_detect_ms=((double)dt_detect)/freq * 1000.0;
(void)(dt_detect_ms);
LOGI("DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector() --- objects num==%d, t_ms=%.4f", (int)objects.size(), dt_detect_ms); LOGI("DetectionBasedTracker::SeparateDetectionWork::workcycleObjectDetector() --- objects num==%d, t_ms=%.4f", (int)objects.size(), dt_detect_ms);
...@@ -401,7 +394,6 @@ bool DetectionBasedTracker::SeparateDetectionWork::communicateWithDetectingThrea ...@@ -401,7 +394,6 @@ bool DetectionBasedTracker::SeparateDetectionWork::communicateWithDetectingThrea
isObjectDetectingReady=false; isObjectDetectingReady=false;
double lastBigDetectionDuration = 1000.0 * (((double)(getTickCount() - timeWhenDetectingThreadStartedWork )) / freq); double lastBigDetectionDuration = 1000.0 * (((double)(getTickCount() - timeWhenDetectingThreadStartedWork )) / freq);
(void)(lastBigDetectionDuration);
LOGD("DetectionBasedTracker::SeparateDetectionWork::communicateWithDetectingThread: lastBigDetectionDuration=%f ms", (double)lastBigDetectionDuration); LOGD("DetectionBasedTracker::SeparateDetectionWork::communicateWithDetectingThread: lastBigDetectionDuration=%f ms", (double)lastBigDetectionDuration);
} }
...@@ -433,7 +425,11 @@ bool DetectionBasedTracker::SeparateDetectionWork::communicateWithDetectingThrea ...@@ -433,7 +425,11 @@ bool DetectionBasedTracker::SeparateDetectionWork::communicateWithDetectingThrea
DetectionBasedTracker::Parameters::Parameters() DetectionBasedTracker::Parameters::Parameters()
{ {
minObjectSize=96;
maxObjectSize=INT_MAX;
scaleFactor=1.1;
maxTrackLifetime=5; maxTrackLifetime=5;
minNeighbors=2;
minDetectionPeriod=0; minDetectionPeriod=0;
} }
...@@ -450,25 +446,29 @@ DetectionBasedTracker::InnerParameters::InnerParameters() ...@@ -450,25 +446,29 @@ DetectionBasedTracker::InnerParameters::InnerParameters()
} }
DetectionBasedTracker::DetectionBasedTracker(cv::Ptr<IDetector> mainDetector, cv::Ptr<IDetector> trackingDetector, const Parameters& params) DetectionBasedTracker::DetectionBasedTracker(const std::string& cascadeFilename, const Parameters& params)
:separateDetectionWork(), :separateDetectionWork(),
parameters(params),
innerParameters(), innerParameters(),
numTrackedSteps(0), numTrackedSteps(0)
cascadeForTracking(trackingDetector)
{ {
CV_Assert( (params.maxTrackLifetime >= 0) CV_Assert( (params.minObjectSize > 0)
// && (!mainDetector.empty()) && (params.maxObjectSize >= 0)
&& (!trackingDetector.empty()) ); && (params.scaleFactor > 1.0)
&& (params.maxTrackLifetime >= 0) );
if (!mainDetector.empty()) { if (!cascadeForTracking.load(cascadeFilename)) {
separateDetectionWork = new SeparateDetectionWork(*this, mainDetector); CV_Error(CV_StsBadArg, "DetectionBasedTracker::DetectionBasedTracker: Cannot load a cascade from the file '"+cascadeFilename+"'");
} }
parameters=params;
separateDetectionWork=new SeparateDetectionWork(*this, cascadeFilename);
weightsPositionsSmoothing.push_back(1); weightsPositionsSmoothing.push_back(1);
weightsSizesSmoothing.push_back(0.5); weightsSizesSmoothing.push_back(0.5);
weightsSizesSmoothing.push_back(0.3); weightsSizesSmoothing.push_back(0.3);
weightsSizesSmoothing.push_back(0.2); weightsSizesSmoothing.push_back(0.2);
} }
DetectionBasedTracker::~DetectionBasedTracker() DetectionBasedTracker::~DetectionBasedTracker()
...@@ -479,7 +479,7 @@ void DetectionBasedTracker::process(const Mat& imageGray) ...@@ -479,7 +479,7 @@ void DetectionBasedTracker::process(const Mat& imageGray)
{ {
CV_Assert(imageGray.type()==CV_8UC1); CV_Assert(imageGray.type()==CV_8UC1);
if ( (!separateDetectionWork.empty()) && (!separateDetectionWork->isWorking()) ) { if (!separateDetectionWork->isWorking()) {
separateDetectionWork->run(); separateDetectionWork->run();
} }
...@@ -488,18 +488,18 @@ void DetectionBasedTracker::process(const Mat& imageGray) ...@@ -488,18 +488,18 @@ void DetectionBasedTracker::process(const Mat& imageGray)
{ {
double delta_time_from_prev_call=1000.0 * (((double)(getTickCount() - time_when_last_call_started)) / freq); double delta_time_from_prev_call=1000.0 * (((double)(getTickCount() - time_when_last_call_started)) / freq);
(void)(delta_time_from_prev_call);
LOGD("DetectionBasedTracker::process: time from the previous call is %f ms", (double)delta_time_from_prev_call); LOGD("DetectionBasedTracker::process: time from the previous call is %f ms", (double)delta_time_from_prev_call);
time_when_last_call_started=getTickCount(); time_when_last_call_started=getTickCount();
} }
Mat imageDetect=imageGray; Mat imageDetect=imageGray;
int D = parameters.minObjectSize;
if (D < 1)
D=1;
vector<Rect> rectsWhereRegions; vector<Rect> rectsWhereRegions;
bool shouldHandleResult=false; bool shouldHandleResult=separateDetectionWork->communicateWithDetectingThread(imageGray, rectsWhereRegions);
if (!separateDetectionWork.empty()) {
shouldHandleResult = separateDetectionWork->communicateWithDetectingThread(imageGray, rectsWhereRegions);
}
if (shouldHandleResult) { if (shouldHandleResult) {
LOGD("DetectionBasedTracker::process: get _rectsWhereRegions were got from resultDetect"); LOGD("DetectionBasedTracker::process: get _rectsWhereRegions were got from resultDetect");
...@@ -515,7 +515,8 @@ void DetectionBasedTracker::process(const Mat& imageGray) ...@@ -515,7 +515,8 @@ void DetectionBasedTracker::process(const Mat& imageGray)
continue; continue;
} }
//correction by speed of rectangle
// correction by speed of rectangle
if (n > 1) { if (n > 1) {
Point2f center = centerRect(r); Point2f center = centerRect(r);
Point2f center_prev = centerRect(trackedObjects[i].lastPositions[n-2]); Point2f center_prev = centerRect(trackedObjects[i].lastPositions[n-2]);
...@@ -571,38 +572,20 @@ void DetectionBasedTracker::getObjects(std::vector<Object>& result) const ...@@ -571,38 +572,20 @@ void DetectionBasedTracker::getObjects(std::vector<Object>& result) const
LOGD("DetectionBasedTracker::process: found a object with SIZE %d x %d, rect={%d, %d, %d x %d}", r.width, r.height, r.x, r.y, r.width, r.height); LOGD("DetectionBasedTracker::process: found a object with SIZE %d x %d, rect={%d, %d, %d x %d}", r.width, r.height, r.x, r.y, r.width, r.height);
} }
} }
void DetectionBasedTracker::getObjects(std::vector<ExtObject>& result) const
{
result.clear();
for(size_t i=0; i < trackedObjects.size(); i++) {
ObjectStatus status;
Rect r=calcTrackedObjectPositionToShow(i, status);
result.push_back(ExtObject(trackedObjects[i].id, r, status));
LOGD("DetectionBasedTracker::process: found a object with SIZE %d x %d, rect={%d, %d, %d x %d}, status = %d", r.width, r.height, r.x, r.y, r.width, r.height, (int)status);
}
}
bool DetectionBasedTracker::run() bool DetectionBasedTracker::run()
{ {
if (!separateDetectionWork.empty()) {
return separateDetectionWork->run(); return separateDetectionWork->run();
}
return false;
} }
void DetectionBasedTracker::stop() void DetectionBasedTracker::stop()
{ {
if (!separateDetectionWork.empty()) {
separateDetectionWork->stop(); separateDetectionWork->stop();
}
} }
void DetectionBasedTracker::resetTracking() void DetectionBasedTracker::resetTracking()
{ {
if (!separateDetectionWork.empty()) {
separateDetectionWork->resetTracking(); separateDetectionWork->resetTracking();
}
trackedObjects.clear(); trackedObjects.clear();
} }
...@@ -717,7 +700,6 @@ void DetectionBasedTracker::updateTrackedObjects(const vector<Rect>& detectedObj ...@@ -717,7 +700,6 @@ void DetectionBasedTracker::updateTrackedObjects(const vector<Rect>& detectedObj
int numpos=it->lastPositions.size(); int numpos=it->lastPositions.size();
CV_Assert(numpos > 0); CV_Assert(numpos > 0);
Rect r = it->lastPositions[numpos-1]; Rect r = it->lastPositions[numpos-1];
(void)(r);
LOGD("DetectionBasedTracker::updateTrackedObjects: deleted object {%d, %d, %d x %d}", LOGD("DetectionBasedTracker::updateTrackedObjects: deleted object {%d, %d, %d x %d}",
r.x, r.y, r.width, r.height); r.x, r.y, r.width, r.height);
it=trackedObjects.erase(it); it=trackedObjects.erase(it);
...@@ -727,35 +709,18 @@ void DetectionBasedTracker::updateTrackedObjects(const vector<Rect>& detectedObj ...@@ -727,35 +709,18 @@ void DetectionBasedTracker::updateTrackedObjects(const vector<Rect>& detectedObj
} }
} }
int DetectionBasedTracker::addObject(const Rect& location)
{
LOGD("DetectionBasedTracker::addObject: new object {%d, %d %dx%d}",location.x, location.y, location.width, location.height);
trackedObjects.push_back(TrackedObject(location));
int newId = trackedObjects.back().id;
LOGD("DetectionBasedTracker::addObject: newId = %d", newId);
return newId;
}
Rect DetectionBasedTracker::calcTrackedObjectPositionToShow(int i) const Rect DetectionBasedTracker::calcTrackedObjectPositionToShow(int i) const
{
ObjectStatus status;
return calcTrackedObjectPositionToShow(i, status);
}
Rect DetectionBasedTracker::calcTrackedObjectPositionToShow(int i, ObjectStatus& status) const
{ {
if ( (i < 0) || (i >= (int)trackedObjects.size()) ) { if ( (i < 0) || (i >= (int)trackedObjects.size()) ) {
LOGE("DetectionBasedTracker::calcTrackedObjectPositionToShow: ERROR: wrong i=%d", i); LOGE("DetectionBasedTracker::calcTrackedObjectPositionToShow: ERROR: wrong i=%d", i);
status = WRONG_OBJECT;
return Rect(); return Rect();
} }
if (trackedObjects[i].numDetectedFrames <= innerParameters.numStepsToWaitBeforeFirstShow){ if (trackedObjects[i].numDetectedFrames <= innerParameters.numStepsToWaitBeforeFirstShow){
LOGI("DetectionBasedTracker::calcTrackedObjectPositionToShow: trackedObjects[%d].numDetectedFrames=%d <= numStepsToWaitBeforeFirstShow=%d --- return empty Rect()", LOGI("DetectionBasedTracker::calcTrackedObjectPositionToShow: trackedObjects[%d].numDetectedFrames=%d <= numStepsToWaitBeforeFirstShow=%d --- return empty Rect()",
i, trackedObjects[i].numDetectedFrames, innerParameters.numStepsToWaitBeforeFirstShow); i, trackedObjects[i].numDetectedFrames, innerParameters.numStepsToWaitBeforeFirstShow);
status = DETECTED_NOT_SHOWN_YET;
return Rect(); return Rect();
} }
if (trackedObjects[i].numFramesNotDetected > innerParameters.numStepsToShowWithoutDetecting) { if (trackedObjects[i].numFramesNotDetected > innerParameters.numStepsToShowWithoutDetecting) {
status = DETECTED_TEMPORARY_LOST;
return Rect(); return Rect();
} }
...@@ -764,7 +729,6 @@ Rect DetectionBasedTracker::calcTrackedObjectPositionToShow(int i, ObjectStatus& ...@@ -764,7 +729,6 @@ Rect DetectionBasedTracker::calcTrackedObjectPositionToShow(int i, ObjectStatus&
int N=lastPositions.size(); int N=lastPositions.size();
if (N<=0) { if (N<=0) {
LOGE("DetectionBasedTracker::calcTrackedObjectPositionToShow: ERROR: no positions for i=%d", i); LOGE("DetectionBasedTracker::calcTrackedObjectPositionToShow: ERROR: no positions for i=%d", i);
status = WRONG_OBJECT;
return Rect(); return Rect();
} }
...@@ -777,8 +741,8 @@ Rect DetectionBasedTracker::calcTrackedObjectPositionToShow(int i, ObjectStatus& ...@@ -777,8 +741,8 @@ Rect DetectionBasedTracker::calcTrackedObjectPositionToShow(int i, ObjectStatus&
double sum=0; double sum=0;
for(int j=0; j < Nsize; j++) { for(int j=0; j < Nsize; j++) {
int k=N-j-1; int k=N-j-1;
w += lastPositions[k].width * weightsSizesSmoothing[j]; w+= lastPositions[k].width * weightsSizesSmoothing[j];
h += lastPositions[k].height * weightsSizesSmoothing[j]; h+= lastPositions[k].height * weightsSizesSmoothing[j];
sum+=weightsSizesSmoothing[j]; sum+=weightsSizesSmoothing[j];
} }
w /= sum; w /= sum;
...@@ -823,7 +787,6 @@ Rect DetectionBasedTracker::calcTrackedObjectPositionToShow(int i, ObjectStatus& ...@@ -823,7 +787,6 @@ Rect DetectionBasedTracker::calcTrackedObjectPositionToShow(int i, ObjectStatus&
Rect res(cvRound(tl.x), cvRound(tl.y), cvRound(w), cvRound(h)); Rect res(cvRound(tl.x), cvRound(tl.y), cvRound(w), cvRound(h));
LOGD("DetectionBasedTracker::calcTrackedObjectPositionToShow: Result for i=%d: {%d, %d, %d x %d}", i, res.x, res.y, res.width, res.height); LOGD("DetectionBasedTracker::calcTrackedObjectPositionToShow: Result for i=%d: {%d, %d, %d x %d}", i, res.x, res.y, res.width, res.height);
status = DETECTED;
return res; return res;
} }
...@@ -838,7 +801,8 @@ void DetectionBasedTracker::detectInRegion(const Mat& img, const Rect& r, vector ...@@ -838,7 +801,8 @@ void DetectionBasedTracker::detectInRegion(const Mat& img, const Rect& r, vector
return; return;
} }
int d = cvRound(std::min(r.width, r.height) * innerParameters.coeffObjectSizeToTrack); int d = std::min(r.width, r.height);
d = cvRound(d * innerParameters.coeffObjectSizeToTrack);
vector<Rect> tmpobjects; vector<Rect> tmpobjects;
...@@ -846,17 +810,17 @@ void DetectionBasedTracker::detectInRegion(const Mat& img, const Rect& r, vector ...@@ -846,17 +810,17 @@ void DetectionBasedTracker::detectInRegion(const Mat& img, const Rect& r, vector
LOGD("DetectionBasedTracker::detectInRegion: img1.size()=%d x %d, d=%d", LOGD("DetectionBasedTracker::detectInRegion: img1.size()=%d x %d, d=%d",
img1.size().width, img1.size().height, d); img1.size().width, img1.size().height, d);
cascadeForTracking->setMinObjectSize(Size(d, d)); int maxObjectSize = parameters.maxObjectSize;
cascadeForTracking->detect(img1, tmpobjects); Size max_objectSize(maxObjectSize, maxObjectSize);
/*
detectMultiScale( img1, tmpobjects, cascadeForTracking.detectMultiScale( img1, tmpobjects,
parameters.scaleFactor, parameters.minNeighbors, 0 parameters.scaleFactor, parameters.minNeighbors, 0
|CV_HAAR_FIND_BIGGEST_OBJECT |CV_HAAR_FIND_BIGGEST_OBJECT
|CV_HAAR_SCALE_IMAGE |CV_HAAR_SCALE_IMAGE
, ,
Size(d,d), Size(d,d),
max_objectSize max_objectSize
);*/ );
for(size_t i=0; i < tmpobjects.size(); i++) { for(size_t i=0; i < tmpobjects.size(); i++) {
Rect curres(tmpobjects[i].tl() + r1.tl(), tmpobjects[i].size()); Rect curres(tmpobjects[i].tl() + r1.tl(), tmpobjects[i].size());
...@@ -866,23 +830,22 @@ void DetectionBasedTracker::detectInRegion(const Mat& img, const Rect& r, vector ...@@ -866,23 +830,22 @@ void DetectionBasedTracker::detectInRegion(const Mat& img, const Rect& r, vector
bool DetectionBasedTracker::setParameters(const Parameters& params) bool DetectionBasedTracker::setParameters(const Parameters& params)
{ {
if ( params.maxTrackLifetime < 0 ) if ( (params.minObjectSize <= 0)
|| (params.maxObjectSize < 0)
|| (params.scaleFactor <= 1.0)
|| (params.maxTrackLifetime < 0) )
{ {
LOGE("DetectionBasedTracker::setParameters: ERROR: wrong parameters value"); LOGE("DetectionBasedTracker::setParameters: ERROR: wrong parameters value");
return false; return false;
} }
if (!separateDetectionWork.empty()) {
separateDetectionWork->lock(); separateDetectionWork->lock();
}
parameters=params; parameters=params;
if (!separateDetectionWork.empty()) {
separateDetectionWork->unlock(); separateDetectionWork->unlock();
}
return true; return true;
} }
const DetectionBasedTracker::Parameters& DetectionBasedTracker::getParameters() const const DetectionBasedTracker::Parameters& DetectionBasedTracker::getParameters()
{ {
return parameters; return parameters;
} }
......
samples/android/face-detection/jni/DetectionBasedTracker_jni.cpp
View file @ 26bcb381
...@@ -18,53 +18,6 @@ inline void vector_Rect_to_Mat(vector<Rect>& v_rect, Mat& mat) ...@@ -18,53 +18,6 @@ inline void vector_Rect_to_Mat(vector<Rect>& v_rect, Mat& mat)
mat = Mat(v_rect, true); mat = Mat(v_rect, true);
} }
class CascadeDetectorAdapter: public DetectionBasedTracker::IDetector
{
public:
CascadeDetectorAdapter(cv::Ptr<cv::CascadeClassifier> detector):
IDetector(),
Detector(detector)
{
LOGD("CascadeDetectorAdapter::Detect::Detect");
CV_Assert(!detector.empty());
}
void detect(const cv::Mat &Image, std::vector<cv::Rect> &objects)
{
LOGD("CascadeDetectorAdapter::Detect: begin");
LOGD("CascadeDetectorAdapter::Detect: scaleFactor=%.2f, minNeighbours=%d, minObjSize=(%dx%d), maxObjSize=(%dx%d)", scaleFactor, minNeighbours, minObjSize.width, minObjSize.height, maxObjSize.width, maxObjSize.height);
Detector->detectMultiScale(Image, objects, scaleFactor, minNeighbours, 0, minObjSize, maxObjSize);
LOGD("CascadeDetectorAdapter::Detect: end");
}
virtual ~CascadeDetectorAdapter()
{
LOGD("CascadeDetectorAdapter::Detect::~Detect");
}
private:
CascadeDetectorAdapter();
cv::Ptr<cv::CascadeClassifier> Detector;
};
struct DetectorAgregator
{
cv::Ptr<CascadeDetectorAdapter> mainDetector;
cv::Ptr<CascadeDetectorAdapter> trackingDetector;
cv::Ptr<DetectionBasedTracker> tracker;
DetectorAgregator(cv::Ptr<CascadeDetectorAdapter>& _mainDetector, cv::Ptr<CascadeDetectorAdapter>& _trackingDetector):
mainDetector(_mainDetector),
trackingDetector(_trackingDetector)
{
CV_Assert(!_mainDetector.empty());
CV_Assert(!_trackingDetector.empty());
DetectionBasedTracker::Parameters DetectorParams;
tracker = new DetectionBasedTracker(mainDetector.ptr<DetectionBasedTracker::IDetector>(), trackingDetector.ptr<DetectionBasedTracker::IDetector>(), DetectorParams);
}
};
JNIEXPORT jlong JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeCreateObject JNIEXPORT jlong JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeCreateObject
(JNIEnv * jenv, jclass, jstring jFileName, jint faceSize) (JNIEnv * jenv, jclass, jstring jFileName, jint faceSize)
{ {
...@@ -73,18 +26,12 @@ JNIEXPORT jlong JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeC ...@@ -73,18 +26,12 @@ JNIEXPORT jlong JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeC
string stdFileName(jnamestr); string stdFileName(jnamestr);
jlong result = 0; jlong result = 0;
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeCreateObject");
try try
{ {
cv::Ptr<CascadeDetectorAdapter> mainDetector = new CascadeDetectorAdapter(new CascadeClassifier(stdFileName)); DetectionBasedTracker::Parameters DetectorParams;
cv::Ptr<CascadeDetectorAdapter> trackingDetector = new CascadeDetectorAdapter(new CascadeClassifier(stdFileName));
result = (jlong)new DetectorAgregator(mainDetector, trackingDetector);
if (faceSize > 0) if (faceSize > 0)
{ DetectorParams.minObjectSize = faceSize;
mainDetector->setMinObjectSize(Size(faceSize, faceSize)); result = (jlong)new DetectionBasedTracker(stdFileName, DetectorParams);
//trackingDetector->setMinObjectSize(Size(faceSize, faceSize));
}
} }
catch(cv::Exception e) catch(cv::Exception e)
{ {
...@@ -98,7 +45,7 @@ JNIEXPORT jlong JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeC ...@@ -98,7 +45,7 @@ JNIEXPORT jlong JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeC
{ {
LOGD("nativeCreateObject catched unknown exception"); LOGD("nativeCreateObject catched unknown exception");
jclass je = jenv->FindClass("java/lang/Exception"); jclass je = jenv->FindClass("java/lang/Exception");
jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_fd_DetectionBasedTracker_nativeCreateObject(...)}"); jenv->ThrowNew(je, "Unknown exception in JNI code {highgui::VideoCapture_n_1VideoCapture__()}");
return 0; return 0;
} }
...@@ -109,14 +56,13 @@ JNIEXPORT jlong JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeC ...@@ -109,14 +56,13 @@ JNIEXPORT jlong JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeC
JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDestroyObject JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDestroyObject
(JNIEnv * jenv, jclass, jlong thiz) (JNIEnv * jenv, jclass, jlong thiz)
{ {
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDestroyObject"); LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDestroyObject enter");
try try
{ {
if(thiz != 0) if(thiz != 0)
{ {
((DetectorAgregator*)thiz)->tracker->stop(); ((DetectionBasedTracker*)thiz)->stop();
delete (DetectorAgregator*)thiz; delete (DetectionBasedTracker*)thiz;
} }
} }
catch(cv::Exception e) catch(cv::Exception e)
...@@ -131,7 +77,7 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDe ...@@ -131,7 +77,7 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDe
{ {
LOGD("nativeDestroyObject catched unknown exception"); LOGD("nativeDestroyObject catched unknown exception");
jclass je = jenv->FindClass("java/lang/Exception"); jclass je = jenv->FindClass("java/lang/Exception");
jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDestroyObject(...)}"); jenv->ThrowNew(je, "Unknown exception in JNI code {highgui::VideoCapture_n_1VideoCapture__()}");
} }
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDestroyObject exit"); LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDestroyObject exit");
} }
...@@ -139,11 +85,10 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDe ...@@ -139,11 +85,10 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDe
JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStart JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStart
(JNIEnv * jenv, jclass, jlong thiz) (JNIEnv * jenv, jclass, jlong thiz)
{ {
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStart"); LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStart enter");
try try
{ {
((DetectorAgregator*)thiz)->tracker->run(); ((DetectionBasedTracker*)thiz)->run();
} }
catch(cv::Exception e) catch(cv::Exception e)
{ {
...@@ -157,7 +102,7 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSt ...@@ -157,7 +102,7 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSt
{ {
LOGD("nativeStart catched unknown exception"); LOGD("nativeStart catched unknown exception");
jclass je = jenv->FindClass("java/lang/Exception"); jclass je = jenv->FindClass("java/lang/Exception");
jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStart(...)}"); jenv->ThrowNew(je, "Unknown exception in JNI code {highgui::VideoCapture_n_1VideoCapture__()}");
} }
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStart exit"); LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStart exit");
} }
...@@ -165,11 +110,10 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSt ...@@ -165,11 +110,10 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSt
JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStop JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStop
(JNIEnv * jenv, jclass, jlong thiz) (JNIEnv * jenv, jclass, jlong thiz)
{ {
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStop"); LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStop enter");
try try
{ {
((DetectorAgregator*)thiz)->tracker->stop(); ((DetectionBasedTracker*)thiz)->stop();
} }
catch(cv::Exception e) catch(cv::Exception e)
{ {
...@@ -183,7 +127,7 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSt ...@@ -183,7 +127,7 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSt
{ {
LOGD("nativeStop catched unknown exception"); LOGD("nativeStop catched unknown exception");
jclass je = jenv->FindClass("java/lang/Exception"); jclass je = jenv->FindClass("java/lang/Exception");
jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStop(...)}"); jenv->ThrowNew(je, "Unknown exception in JNI code {highgui::VideoCapture_n_1VideoCapture__()}");
} }
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStop exit"); LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeStop exit");
} }
...@@ -191,14 +135,15 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSt ...@@ -191,14 +135,15 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSt
JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSetFaceSize JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSetFaceSize
(JNIEnv * jenv, jclass, jlong thiz, jint faceSize) (JNIEnv * jenv, jclass, jlong thiz, jint faceSize)
{ {
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSetFaceSize -- BEGIN"); LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSetFaceSize enter");
try try
{ {
if (faceSize > 0) if (faceSize > 0)
{ {
((DetectorAgregator*)thiz)->mainDetector->setMinObjectSize(Size(faceSize, faceSize)); DetectionBasedTracker::Parameters DetectorParams = \
//((DetectorAgregator*)thiz)->trackingDetector->setMinObjectSize(Size(faceSize, faceSize)); ((DetectionBasedTracker*)thiz)->getParameters();
DetectorParams.minObjectSize = faceSize;
((DetectionBasedTracker*)thiz)->setParameters(DetectorParams);
} }
} }
catch(cv::Exception e) catch(cv::Exception e)
...@@ -213,23 +158,22 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSe ...@@ -213,23 +158,22 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSe
{ {
LOGD("nativeSetFaceSize catched unknown exception"); LOGD("nativeSetFaceSize catched unknown exception");
jclass je = jenv->FindClass("java/lang/Exception"); jclass je = jenv->FindClass("java/lang/Exception");
jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSetFaceSize(...)}"); jenv->ThrowNew(je, "Unknown exception in JNI code {highgui::VideoCapture_n_1VideoCapture__()}");
} }
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSetFaceSize -- END"); LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeSetFaceSize exit");
} }
JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDetect JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDetect
(JNIEnv * jenv, jclass, jlong thiz, jlong imageGray, jlong faces) (JNIEnv * jenv, jclass, jlong thiz, jlong imageGray, jlong faces)
{ {
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDetect"); LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDetect enter");
try try
{ {
vector<Rect> RectFaces; vector<Rect> RectFaces;
((DetectorAgregator*)thiz)->tracker->process(*((Mat*)imageGray)); ((DetectionBasedTracker*)thiz)->process(*((Mat*)imageGray));
((DetectorAgregator*)thiz)->tracker->getObjects(RectFaces); ((DetectionBasedTracker*)thiz)->getObjects(RectFaces);
*((Mat*)faces) = Mat(RectFaces, true); vector_Rect_to_Mat(RectFaces, *((Mat*)faces));
} }
catch(cv::Exception e) catch(cv::Exception e)
{ {
...@@ -243,7 +187,7 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDe ...@@ -243,7 +187,7 @@ JNIEXPORT void JNICALL Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDe
{ {
LOGD("nativeDetect catched unknown exception"); LOGD("nativeDetect catched unknown exception");
jclass je = jenv->FindClass("java/lang/Exception"); jclass je = jenv->FindClass("java/lang/Exception");
jenv->ThrowNew(je, "Unknown exception in JNI code {Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDetect(...)}"); jenv->ThrowNew(je, "Unknown exception in JNI code {highgui::VideoCapture_n_1VideoCapture__()}");
} }
LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDetect END"); LOGD("Java_org_opencv_samples_fd_DetectionBasedTracker_nativeDetect exit");
} }
\ No newline at end of file
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