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);
}
}
}
public void Init()
{
using (var mt = MultiTracker.Create())
{
GC.KeepAlive(mt);
}
}
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);
}
}
}