Esempio n. 1
0
int main() {
    Reporter::setGlobalReportMethod(Reporter::COUT);

    ImageFileStreamer::pointer streamer = ImageFileStreamer::New();
    streamer->setFilenameFormat(Config::getTestDataPath() + "US/JugularVein/US-2D_#.mhd");
    streamer->setTimestampFilename(Config::getTestDataPath() + "US/JugularVein/timestamps.fts");
    streamer->enableLooping();

    PixelClassifier::pointer segmentation = PixelClassifier::New();
    segmentation->setNrOfClasses(3);
    segmentation->setScaleFactor(1.0f / 255.0f);
    const auto engine = segmentation->getInferenceEngine()->getName();
    if(engine == "TensorFlow") {
        // TensorFlow needs to know what the output node is called
        segmentation->addOutputNode(0, "conv2d_23/truediv");
    } else if(engine == "TensorRT") {
        // TensorRT needs to know everything about the input and output nodes
        segmentation->addInputNode(0, "input_image", NodeType::IMAGE, TensorShape({-1, 1, 256, 256}));
        segmentation->addOutputNode(0, "permute_2/transpose");
    }
    segmentation->load(join(Config::getTestDataPath(),
                            "NeuralNetworkModels/jugular_vein_segmentation." + segmentation->getInferenceEngine()->getDefaultFileExtension()));
    segmentation->setInputConnection(streamer->getOutputPort());
    segmentation->enableRuntimeMeasurements();

    SegmentationRenderer::pointer segmentationRenderer = SegmentationRenderer::New();
    segmentationRenderer->addInputConnection(segmentation->getOutputPort());
    segmentationRenderer->setOpacity(0.25);
    segmentationRenderer->setColor(Segmentation::LABEL_FOREGROUND, Color::Red());
    segmentationRenderer->setColor(Segmentation::LABEL_BLOOD, Color::Blue());

    ImageRenderer::pointer imageRenderer = ImageRenderer::New();
    imageRenderer->setInputConnection(streamer->getOutputPort());

    SimpleWindow::pointer window = SimpleWindow::New();
    window->addRenderer(imageRenderer);
    window->addRenderer(segmentationRenderer);
    window->set2DMode();
    window->getView()->setBackgroundColor(Color::Black());
    window->start();
    segmentation->getAllRuntimes()->printAll();
}
int main() {
    // Import images from files using the ImageFileStreamer
    ImageFileStreamer::pointer streamer = ImageFileStreamer::New();
    // The hashtag here will be replaced with an integer, starting with 0 as default
    streamer->setFilenameFormat(std::string(FAST_TEST_DATA_DIR)+"/US-2Dt/US-2Dt_#.mhd");

    // Renderer image
    ImageRenderer::pointer renderer = ImageRenderer::New();
    renderer->addInputConnection(streamer->getOutputPort());
    SimpleWindow::pointer window = SimpleWindow::New();
    window->addRenderer(renderer);
    window->set2DMode();
#ifdef FAST_CONTINUOUS_INTEGRATION
	// This will automatically close the window after 5 seconds, used for CI testing
    window->setTimeout(5*1000);
#endif
    window->start();
}
Esempio n. 3
0
	KalmanFilter::pointer segmentation = KalmanFilter::New();
	/*
	RidgeEdgeModel::pointer appearanceModel = RidgeEdgeModel::New();
	appearanceModel->setEdgeType(RidgeEdgeModel::EDGE_TYPE_BLACK_INSIDE_WHITE_OUTSIDE);
	appearanceModel->setIntensityDifferenceThreshold(20);
	appearanceModel->setMinimumRidgeSize(3.0f);
	 */
	StepEdgeModel::pointer appearanceModel = StepEdgeModel::New();
	appearanceModel->setEdgeType(StepEdgeModel::EDGE_TYPE_BLACK_INSIDE_WHITE_OUTSIDE);
	appearanceModel->setIntensityDifferenceThreshold(20);

	appearanceModel->setLineLength(30.0);
	appearanceModel->setLineSampleSpacing(30.0/48.0);
	segmentation->setAppearanceModel(appearanceModel);
	segmentation->setShapeModel(shapeModel);
	segmentation->setInputConnection(streamer->getOutputPort());
    segmentation->setIterations(10);
	segmentation->setStartIterations(5);

	LineRenderer::pointer lineRenderer = LineRenderer::New();
	lineRenderer->addInputConnection(segmentation->getOutputPort());
	lineRenderer->addInputConnection(segmentation->getDisplacementsOutputPort(), Color::Red(), 1.0);

	ImageRenderer::pointer imageRenderer = ImageRenderer::New();
	imageRenderer->addInputConnection(streamer->getOutputPort());

	SimpleWindow::pointer window = SimpleWindow::New();
	window->getView()->setBackgroundColor(Color::Black());
	window->addRenderer(imageRenderer);
	window->addRenderer(lineRenderer);
	window->setSize(1024, 1024);
int main(int argc, char** argv) {
	std::vector<std::string> recordings = {
	"/home/smistad/AssistantTestData/1/US-Acq_03_20150608T103739/Acquisition/US-Acq_03_20150608T103739_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/1/US-Acq_04_20150608T103837/Acquisition/US-Acq_04_20150608T103837_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/1/US-Acq_07_20150608T104148/Acquisition/US-Acq_07_20150608T104148_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/1/US-Acq_08_20150608T104238/Acquisition/US-Acq_08_20150608T104238_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/0/US-Acq_03_20150608T102144/Acquisition/US-Acq_03_20150608T102144_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/0/US-Acq_04_20150608T102242/Acquisition/US-Acq_04_20150608T102242_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/0/US-Acq_07_20150608T102703/Acquisition/US-Acq_07_20150608T102703_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/0/US-Acq_08_20150608T102854/Acquisition/US-Acq_08_20150608T102854_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/2/US-Acq_03_20150608T104805/Acquisition/US-Acq_03_20150608T104805_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/2/US-Acq_04_20150608T104910/Acquisition/US-Acq_04_20150608T104910_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/2/US-Acq_07_20150608T105549/Acquisition/US-Acq_07_20150608T105549_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/2/US-Acq_08_20150608T105649/Acquisition/US-Acq_08_20150608T105649_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/3/US-Acq_03_20150608T113646/Acquisition/US-Acq_03_20150608T113646_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/3/US-Acq_04_20150608T113750/Acquisition/US-Acq_04_20150608T113750_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/3/US-Acq_07_20150608T114115/Acquisition/US-Acq_07_20150608T114115_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/3/US-Acq_08_20150608T114217/Acquisition/US-Acq_08_20150608T114217_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/4/US-Acq_03_20150608T112610/Acquisition/US-Acq_03_20150608T112610_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/4/US-Acq_04_20150608T112656/Acquisition/US-Acq_04_20150608T112656_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/4/US-Acq_08_20150608T113129/Acquisition/US-Acq_08_20150608T113129_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/4/US-Acq_09_20150608T113245/Acquisition/US-Acq_09_20150608T113245_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/5/US-Acq_03_20150608T111610/Acquisition/US-Acq_03_20150608T111610_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/5/US-Acq_04_20150608T111701/Acquisition/US-Acq_04_20150608T111701_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/5/US-Acq_07_20150608T111940/Acquisition/US-Acq_07_20150608T111940_Image_Transducer_#.mhd",
	"/home/smistad/AssistantTestData/6/0/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/6/1/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/6/2/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/6/3/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/6/4/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/7/0/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/7/1/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/7/2/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/7/3/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/8/0/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/8/1/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/8/2/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/8/3/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/9/0/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/9/1/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/9/2/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/9/3/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/10/0/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/10/1/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/10/2/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/10/3/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/11/0/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/11/1/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/11/2/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/11/3/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/12/0/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/12/1/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/12/2/US-2D_#.mhd",
	"/home/smistad/AssistantTestData/12/3/US-2D_#.mhd",
	"/media/smistad/New Volume/Carotis/Erik/2016-06-02-140622/US-2D_#.mhd",
	"/media/smistad/New Volume/Carotis/Erik/2016-06-02-140721/US-2D_#.mhd",
	"/media/smistad/New Volume/Carotis/Erik/2016-06-02-140846/US-2D_#.mhd",
	"/media/smistad/New Volume/Carotis/Erik/2016-06-02-140923/US-2D_#.mhd"
	};
	uint recordingID = 0;
	if(argc != 2) {
		std::cout << "Usage: " << argv[0] << "<recording-id: 0-" << recordings.size() << ">" << std::endl;
		return 0;
	} else {
		recordingID = atoi(argv[1]);
	}


	ImageFileStreamer::pointer streamer = ImageFileStreamer::New();
	streamer->setStreamingMode(STREAMING_MODE_PROCESS_ALL_FRAMES);
	streamer->setFilenameFormat(recordings[recordingID]);
	streamer->update();

	UltrasoundVesselDetection::pointer detector = UltrasoundVesselDetection::New();
	detector->setInputConnection(streamer->getOutputPort());
	detector->enableRuntimeMeasurements();

	SegmentationRenderer::pointer segmentationRenderer = SegmentationRenderer::New();
	segmentationRenderer->addInputConnection(detector->getOutputSegmentationPort());
	segmentationRenderer->setFillArea(false);

	ImageRenderer::pointer imageRenderer = ImageRenderer::New();
	imageRenderer->addInputConnection(streamer->getOutputPort());

	SimpleWindow::pointer window = SimpleWindow::New();
	window->addRenderer(imageRenderer);
	window->addRenderer(segmentationRenderer);
	window->set2DMode();
	window->setWidth(1920);
	window->setHeight(1080);
	window->start();
	detector->getRuntime("ellipse fitting")->print();
	detector->getRuntime("candidate selection")->print();
	detector->getRuntime("classifier")->print();
	detector->getRuntime("segmentation")->print();
}