public POutputVideoStream(POutputVideoStream other) : this(PapillonPINVOKE.new_POutputVideoStream__SWIG_1(POutputVideoStream.getCPtr(other)), true) { if (PapillonPINVOKE.SWIGPendingException.Pending) { throw PapillonPINVOKE.SWIGPendingException.Retrieve(); } }
public static PResult Open(SWIGTYPE_p_papillon__PPlugin plugin, PUri uri, POutputVideoStream outputVideoStream) { PResult ret = new PResult(PapillonPINVOKE.POutputVideoStream_Open__SWIG_1(SWIGTYPE_p_papillon__PPlugin.getCPtr(plugin), PUri.getCPtr(uri), POutputVideoStream.getCPtr(outputVideoStream)), true); if (PapillonPINVOKE.SWIGPendingException.Pending) { throw PapillonPINVOKE.SWIGPendingException.Retrieve(); } return(ret); }
public static PResult Open(string uri, POutputVideoStream outputVideoStream) { PResult ret = new PResult(PapillonPINVOKE.POutputVideoStream_Open__SWIG_0(uri, POutputVideoStream.getCPtr(outputVideoStream)), true); if (PapillonPINVOKE.SWIGPendingException.Pending) { throw PapillonPINVOKE.SWIGPendingException.Retrieve(); } return(ret); }
internal static global::System.Runtime.InteropServices.HandleRef getCPtr(POutputVideoStream obj) { return((obj == null) ? new global::System.Runtime.InteropServices.HandleRef(null, global::System.IntPtr.Zero) : obj.swigCPtr); }
static void Main(string[] args) { // ********************** // intialise Papillon SDK // ********************** PLog.OpenConsoleLogger(); PapillonSDK.Initialise("PapillonCSharpDemo"); string SAMPLE_DIR = PPath.Join(PUtils.GetEnv("PAPILLON_INSTALL_DIR"), "Data", "Samples"); // ********************************************************************* // load an image from disk (can be JPEG, TIF, BMP or PNG) and display it // ********************************************************************* PImage image = new PImage(); image.Load(PPath.Join(SAMPLE_DIR, "sample.jpg")).OrDie(); image.Display("MySampleImage"); // ********************************************************** // set an image from a pixel buffer (a byte[]) and display it //*********************************************************** int width = 600; int height = 400; int depth = 3; var buf = new byte[width * height * depth]; for (int i = 0; i < buf.Length; i+=depth) { buf[i] = 127; buf[i + 1] = 0; buf[i + 2] = 255; } PImage image2 = new PImage(); image2.Set(buf, width, height, PImage.EPixelFormat.E_BGR8U); image2.Display("Pink"); // ********************************************************** // open a video stream from local webcam, then // 1. display the video stream // 2. write it on the disk (AVI file) // 3. stabilise the video stream (if the "stabilisation" plugin is available) // 4. perform face detection on the video stream //*********************************************************** PInputVideoStream inputStream = new PInputVideoStream(); PInputVideoStream.Open("device:0", inputStream).OrDie(); POutputVideoStream outputStream = new POutputVideoStream(); POutputVideoStream.Open("webcam.avi?fps=20.0", outputStream).OrDie(); bool isStabilisationEnabled = false; PImage stabilisedImage = new PImage(); PImageFilterOptions stabilisationOptions = new PImageFilterOptions(); PImageFilter stabilisationFilter = new PImageFilter(); if (PImageFilter.Create("Stabilisation", "", stabilisationFilter).Ok()) { stabilisationOptions.SetDoubleParameter("motion", 0.5); stabilisationOptions.SetIntParameter("panning", 0); isStabilisationEnabled = true; } PFrame frame = new PFrame(); PDetector faceDetector = new PDetector(); PDetector.Create("FaceDetector", "", faceDetector).OrDie(); PDetectorOptions detectorOptions = new PDetectorOptions(); detectorOptions.SetIntParameter("LOCALISER", 0); // no localiser detectorOptions.SetMinDetectionSize(60); PDetectionList detectionList = new PDetectionList(); while (inputStream.GetFrame(frame).Ok()) { frame.Display("Web-cam image", 50); outputStream.PutImage(frame.GetImage()); if (isStabilisationEnabled) { stabilisationFilter.Apply(frame.GetImage(), stabilisationOptions, stabilisedImage); stabilisedImage.Display("Stabilised stream"); } faceDetector.Detect(frame, detectorOptions, detectionList); PUtils.DisplayDetectionList(frame, detectionList, "Face Detector"); } }