Merged the trunk r8542:8544
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@ -508,12 +508,14 @@ public:
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* gridRows Grid rows count.
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* gridCols Grid column count.
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*/
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CV_WRAP GridAdaptedFeatureDetector( const Ptr<FeatureDetector>& detector,
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CV_WRAP GridAdaptedFeatureDetector( const Ptr<FeatureDetector>& detector=0,
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int maxTotalKeypoints=1000,
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int gridRows=4, int gridCols=4 );
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// TODO implement read/write
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virtual bool empty() const;
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AlgorithmInfo* info() const;
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protected:
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virtual void detectImpl( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask=Mat() ) const;
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@ -133,15 +133,22 @@ CV_INIT_ALGORITHM(DenseFeatureDetector, "Feature2D.Dense",
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obj.info()->addParam(obj, "varyXyStepWithScale", obj.varyXyStepWithScale);
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obj.info()->addParam(obj, "varyImgBoundWithScale", obj.varyImgBoundWithScale));
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CV_INIT_ALGORITHM(GridAdaptedFeatureDetector, "Feature2D.Grid",
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obj.info()->addParam(obj, "detector", (Ptr<Algorithm>&)obj.detector);
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obj.info()->addParam(obj, "maxTotalKeypoints", obj.maxTotalKeypoints);
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obj.info()->addParam(obj, "gridRows", obj.gridRows);
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obj.info()->addParam(obj, "gridCols", obj.gridCols));
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bool initModule_features2d(void)
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{
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Ptr<Algorithm> brief = createBriefDescriptorExtractor(), orb = createORB(),
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star = createStarDetector(), fastd = createFastFeatureDetector(), mser = createMSER(),
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dense = createDenseFeatureDetector(), gftt = createGFTTDetector(), harris = createHarrisDetector();
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dense = createDenseFeatureDetector(), gftt = createGFTTDetector(),
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harris = createHarrisDetector(), grid = createGridAdaptedFeatureDetector();
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return brief->info() != 0 && orb->info() != 0 && star->info() != 0 &&
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fastd->info() != 0 && mser->info() != 0 && dense->info() != 0 &&
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gftt->info() != 0 && harris->info() != 0;
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gftt->info() != 0 && harris->info() != 0 && grid->info() != 0;
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}
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}
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@ -494,19 +494,16 @@ bool VideoCapture::retrieve(Mat& image, int channel)
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bool VideoCapture::read(Mat& image)
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{
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if(!grab())
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image.release();
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else
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if(grab())
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retrieve(image);
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else
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image.release();
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return !image.empty();
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}
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VideoCapture& VideoCapture::operator >> (Mat& image)
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{
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if(!grab())
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image.release();
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else
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retrieve(image);
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read(image);
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return *this;
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}
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@ -438,6 +438,10 @@ bool CvCapture_FFMPEG::grabFrame()
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const int max_number_of_attempts = 1 << 16;
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if( !ic || !video_st ) return false;
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if( ic->streams[video_stream]->nb_frames > 0 &&
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frame_number > ic->streams[video_stream]->nb_frames )
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return false;
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av_free_packet (&packet);
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@ -316,7 +316,9 @@ int CvCaptureCAM::startCaptureDevice(int cameraNum) {
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capture = [[CaptureDelegate alloc] init];
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QTCaptureDevice *device;
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NSArray* devices = [QTCaptureDevice inputDevicesWithMediaType:QTMediaTypeVideo];
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NSArray* devices = [[[QTCaptureDevice inputDevicesWithMediaType:QTMediaTypeVideo]
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arrayByAddingObjectsFromArray:[QTCaptureDevice inputDevicesWithMediaType:QTMediaTypeMuxed]] retain];
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if ([devices count] == 0) {
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cout << "QTKit didn't find any attached Video Input Devices!" << endl;
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[localpool drain];
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@ -57,6 +57,7 @@ CV_INIT_ALGORITHM(BackgroundSubtractorMOG, "BackgroundSubtractor.MOG",
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CV_INIT_ALGORITHM(BackgroundSubtractorMOG2, "BackgroundSubtractor.MOG2",
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obj.info()->addParam(obj, "history", obj.history);
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obj.info()->addParam(obj, "nmixtures", obj.nmixtures);
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obj.info()->addParam(obj, "varThreshold", obj.varThreshold);
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obj.info()->addParam(obj, "detectShadows", obj.bShadowDetection));
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