public void Init()
{
using (var mt = MultiTracker.Create())
{
GC.KeepAlive(mt);
}
}
public void AddMany2()
{
var bbox1 = new Rect2d(10, 10, 200, 200);
var bbox2 = new Rect2d(300, 300, 100, 100);
var bboxArray = new Rect2d[] { bbox1, bbox2, };
using (var mt = MultiTracker.Create())
{
using (var tracker1 = TrackerMIL.Create())
using (var vc = Image("lenna.png"))
{
var ret = mt.Add(
new Tracker[] { tracker1, tracker1, },
vc,
bboxArray);
Assert.False(ret); // duplicate init call
}
}
using (var mt = MultiTracker.Create())
{
using (var tracker1 = TrackerMIL.Create())
using (var tracker2 = TrackerMIL.Create())
using (var vc = Image("lenna.png"))
{
var ret = mt.Add(
new Tracker[] { tracker1, tracker2, },
vc,
bboxArray);
Assert.True(ret);
}
}
}
//Метод для реинициализации трекера, принимает в себя тип детектирования и изображение
//Возвращает инициализированный трекер
public static MultiTracker Reinit_Tracker(InitTypes type, Mat frame)
{
//Результаты детектирования для иницилазиции KFC трекеров
List <Rectangle> Result = new List <Rectangle>();
//Детектирование с помощью каскадов Хаара
if (type == InitTypes.Haar)
{
var Rects = Haar.DetectMultiScale(frame, HScaleFactor, HMinNeighbors, HMinSize, HMaxSize);
foreach (var rect in Rects)
{
if (rect != null)
{
Result.Add(rect);
}
}
}
//Детектирования с помощью Хог дескриптора
else
{
var RowRects = Hog.DetectMultiScale(frame, 0, HogWinStride, scale: HogScaleFactor);
foreach (var rowRect in RowRects)
{
Result.Add(rowRect.Rect);
}
}
//Инициализация KCF трекерами
var TTracker = new MultiTracker();
foreach (var rect in Result)
{
TTracker.Add(new TrackerKCF(), frame, rect);
}
return(TTracker);
}
public PackageTracker(IWebPoster webPoster, IGeocodeDb geocodeDb)
{
//Todo: This is a bad place to load these:
var uspsUserName = WebConfigurationManager.AppSettings["UspsUserName"];
var uspsPassword = WebConfigurationManager.AppSettings["UspsPassword"];
var fedexKey = WebConfigurationManager.AppSettings["FedexKey"];
var fedexPassword = WebConfigurationManager.AppSettings["FedexPassword"];
var fedexAccountNumber = WebConfigurationManager.AppSettings["FedexAccountNumber"];
var fedexMeterNumber = WebConfigurationManager.AppSettings["FedexMeterNumber"];
var coreTrackers = new List <ITracker>();
coreTrackers.Add(new Tracking.Simulation.SimulationTracker());
coreTrackers.Add(new UpsTracker());
coreTrackers.Add(new UspsTracker(new PostUtility(), uspsUserName, uspsPassword, true));
coreTrackers.Add(new FedexTracker(new TrackService(), fedexKey, fedexPassword, fedexAccountNumber, fedexMeterNumber, false));
//coreTrackers.Add(new DhlTracker(new PostUtility(), "", "");
var multiTracker = new MultiTracker(coreTrackers);
var cacheTracker = new CacheTracker(multiTracker);
var emptyTracker = new EmptyTrackingNumberTracker(cacheTracker);
var loggingTracker = new LoggingTracker(emptyTracker);
var sanitizerTracker = new TrackingNumberStandardizerTracker(loggingTracker);
var geocodingTracker = new GeocodingTracker(sanitizerTracker, geocodeDb);
var errorHandlerTracker = new ErrorHandlerTracker(geocodingTracker);
_defaultTracker = errorHandlerTracker;
}
private void Init()
{
rgbMat = new Mat();
if (capture.isOpened())
{
Debug.Log("capture.isOpened() true");
}
else
{
Debug.Log("capture.isOpened() false");
}
Debug.Log("CAP_PROP_FORMAT: " + capture.get(Videoio.CAP_PROP_FORMAT));
Debug.Log("CV_CAP_PROP_PREVIEW_FORMAT: " + capture.get(Videoio.CV_CAP_PROP_PREVIEW_FORMAT));
Debug.Log("CAP_PROP_POS_MSEC: " + capture.get(Videoio.CAP_PROP_POS_MSEC));
Debug.Log("CAP_PROP_POS_FRAMES: " + capture.get(Videoio.CAP_PROP_POS_FRAMES));
Debug.Log("CAP_PROP_POS_AVI_RATIO: " + capture.get(Videoio.CAP_PROP_POS_AVI_RATIO));
Debug.Log("CAP_PROP_FRAME_COUNT: " + capture.get(Videoio.CAP_PROP_FRAME_COUNT));
Debug.Log("CAP_PROP_FPS: " + capture.get(Videoio.CAP_PROP_FPS));
Debug.Log("CAP_PROP_FRAME_WIDTH: " + capture.get(Videoio.CAP_PROP_FRAME_WIDTH));
Debug.Log("CAP_PROP_FRAME_HEIGHT: " + capture.get(Videoio.CAP_PROP_FRAME_HEIGHT));
capture.grab();
capture.retrieve(rgbMat, 0);
int frameWidth = rgbMat.cols();
int frameHeight = rgbMat.rows();
colors = new Color32[frameWidth * frameHeight];
texture = new Texture2D(frameWidth, frameHeight, TextureFormat.RGBA32, false);
gameObject.transform.localScale = new Vector3((float)frameWidth, (float)frameHeight, 1);
float widthScale = (float)Screen.width / (float)frameWidth;
float heightScale = (float)Screen.height / (float)frameHeight;
if (widthScale < heightScale)
{
Camera.main.orthographicSize = ((float)frameWidth * (float)Screen.height / (float)Screen.width) / 2;
}
else
{
Camera.main.orthographicSize = (float)frameHeight / 2;
}
capture.set(Videoio.CAP_PROP_POS_FRAMES, 0);
gameObject.GetComponent <Renderer> ().material.mainTexture = texture;
trackers = new MultiTracker("KCF");
objects = new MatOfRect2d();
trackingColorList = new List <Scalar> ();
selectedPointList = new List <Point> ();
}
public void Update()
{
// ETHZ dataset
// ETHZ is Eidgenössische Technische Hochschule Zürich, in Deutsch
// https://data.vision.ee.ethz.ch/cvl/aess/cvpr2008/seq03-img-left.tar.gz
// This video could be research data and it may not allow to use commercial use.
// This test can not track person perfectly but it is enough to test whether unit test works.
// This rect indicates person who be captured in first frame
var bb = new Rect2d(286, 146, 70, 180);
// If you want to save markers image, you must change the following values.
const string path = "C:\\TrackerTest_Update";
const string basedir = "ETHZ\\seq03-img-left\\";
using (var mt = MultiTracker.Create())
using (var tracker1 = TrackerTLD.Create())
using (var tracker2 = TrackerMIL.Create())
using (var tracker3 = TrackerBoosting.Create())
{
var randomColors = Enumerable.Range(0, 3).Select(_ => Scalar.RandomColor()).ToArray();
foreach (var i in Enumerable.Range(0, 21))
{
var file = $"image_{i:D8}_0.png";
using (var mat = Image(Path.Combine(basedir, file)))
{
Rect2d[] boundingBoxes;
if (i == 0)
{
boundingBoxes = Enumerable.Repeat(bb, 3).ToArray();
mt.Add(
new Tracker[] { tracker1, tracker2, tracker3 },
mat,
boundingBoxes);
}
else
{
mt.Update(mat, out boundingBoxes);
}
if (Debugger.IsAttached)
{
Directory.CreateDirectory(path);
for (int j = 0; j < boundingBoxes.Length; j++)
{
mat.Rectangle(boundingBoxes[j].ToRect(), randomColors[j]);
}
Cv2.ImWrite(Path.Combine(path, file), mat);
}
}
}
}
}
public void AddOne()
{
using (var mt = MultiTracker.Create())
{
using (var tracker = TrackerKCF.Create())
using (var vc = Image("lenna.png"))
{
var ret = mt.Add(tracker, vc, new Rect2d(220, 60, 200, 220));
Assert.True(ret);
}
}
}
public void AddMany()
{
using (var mt = MultiTracker.Create())
{
using (var tracker1 = TrackerTLD.Create())
using (var tracker2 = TrackerMIL.Create())
using (var tracker3 = TrackerBoosting.Create())
using (var vc = Image("lenna.png"))
{
var ret = mt.Add(
new Tracker[] { tracker1, tracker2, tracker3 },
vc,
Enumerable.Repeat(new Rect2d(220, 60, 200, 220), 3).ToArray());
Assert.True(ret);
}
}
}
public void OnResetTrackerButton()
{
if (trackers != null)
{
trackers.Dispose();
trackers = null;
}
if (objects != null)
{
objects.Dispose();
objects = null;
}
trackers = new MultiTracker("KCF");
objects = new MatOfRect2d();
trackingColorList.Clear();
selectedPointList.Clear();
}
/// <summary>
/// Raises the video capture to mat helper initialized event.
/// </summary>
public void OnVideoCaptureToMatHelperInitialized()
{
Debug.Log("OnVideoCaptureToMatHelperInitialized");
Mat rgbMat = sourceToMatHelper.GetMat();
texture = new Texture2D(rgbMat.cols(), rgbMat.rows(), TextureFormat.RGB24, false);
Utils.fastMatToTexture2D(rgbMat, texture);
gameObject.GetComponent <Renderer>().material.mainTexture = texture;
gameObject.transform.localScale = new Vector3(rgbMat.cols(), rgbMat.rows(), 1);
Debug.Log("Screen.width " + Screen.width + " Screen.height " + Screen.height + " Screen.orientation " + Screen.orientation);
float width = rgbMat.width();
float height = rgbMat.height();
float widthScale = (float)Screen.width / width;
float heightScale = (float)Screen.height / height;
if (widthScale < heightScale)
{
Camera.main.orthographicSize = (width * (float)Screen.height / (float)Screen.width) / 2;
}
else
{
Camera.main.orthographicSize = height / 2;
}
trackers = MultiTracker.create();
objects = new MatOfRect2d();
trackingColorList = new List <Scalar>();
selectedPointList = new List <Point>();
}
