// Use this for initialization
void Start()
{
String[] textureNames = new string[] { "stitch1", "stitch2", "stitch3", "stitch4" };
Mat[] imgs = new Mat[textureNames.Length];
Mat tmp = new Mat();
for (int i = 0; i < textureNames.Length; i++)
{
Texture2D tex = Resources.Load <Texture2D>(textureNames[i]);
imgs[i] = new Mat();
TextureConvert.Texture2dToOutputArray(tex, tmp);
CvInvoke.Flip(tmp, tmp, FlipType.Vertical);
CvInvoke.CvtColor(tmp, imgs[i], ColorConversion.Bgra2Bgr);
if (imgs[i].IsEmpty)
{
Debug.Log("Image " + i + " is empty");
}
else
{
Debug.Log("Image " + i + " is " + imgs[i].NumberOfChannels + " channels " + imgs[i].Width + "x" + imgs[i].Height);
}
}
Emgu.CV.Stitching.Stitcher stitcher = new Emgu.CV.Stitching.Stitcher();
Mat result = new Mat();
using (VectorOfMat vms = new VectorOfMat(imgs))
stitcher.Stitch(vms, result);
//CvInvoke.Flip(result, result, FlipType.Vertical);
Texture2D texture = TextureConvert.InputArrayToTexture2D(result, FlipType.Vertical);
RenderTexture(texture);
ResizeTexture(texture);
}
// Use this for initialization
void Start()
{
String[] textureNames = new string[] { "stitch1", "stitch2", "stitch3", "stitch4"};
Mat[] imgs = new Mat[textureNames.Length];
Mat tmp = new Mat ();
for (int i = 0; i < textureNames.Length; i++) {
Texture2D tex = Resources.Load<Texture2D>(textureNames[i]);
imgs [i] = new Mat ();
TextureConvert.Texture2dToOutputArray(tex, tmp);
CvInvoke.Flip(tmp, tmp, FlipType.Vertical);
CvInvoke.CvtColor (tmp, imgs [i], ColorConversion.Bgra2Bgr);
if (imgs [i].IsEmpty)
Debug.Log ("Image " + i + " is empty");
else
Debug.Log ("Image " + i + " is " + imgs[i].NumberOfChannels + " channels " + imgs [i].Width + "x" + imgs [i].Height);
}
Emgu.CV.Stitching.Stitcher stitcher = new Emgu.CV.Stitching.Stitcher (false);
Mat result = new Mat ();
using (VectorOfMat vms = new VectorOfMat (imgs))
stitcher.Stitch (vms, result);
//CvInvoke.Flip(result, result, FlipType.Vertical);
Texture2D texture = TextureConvert.InputArrayToTexture2D(result, FlipType.Vertical);
this.GetComponent<GUITexture>().texture = texture;
Size s = result.Size;
this.GetComponent<GUITexture>().pixelInset = new Rect(-s.Width / 2, -s.Height / 2, s.Width, s.Height);
}
private void timer1_Tick(object sender, EventArgs e)
{
Mat cap = new Mat();
Mat[] imgs = new Mat[3];
Mat result = new Mat();
cap = c1.QueryFrame();
imageBox1.Image = cap;
imgs[0] = cap;
cap = c2.QueryFrame();
imageBox2.Image = cap;
imgs[1] = cap;
cap = c3.QueryFrame();
imageBox3.Image = cap;
imgs[2] = cap;
Emgu.CV.Stitching.Stitcher stitcher = new Emgu.CV.Stitching.Stitcher(true);
using (VectorOfMat vms = new VectorOfMat())
{
vms.Push(imgs);
bool stitchStatus = stitcher.Stitch(vms, result);
if (stitchStatus)
{
imageBox4.Image = result;
toolStripStatusLabel1.Text = "Stitch OK";
}
else
{
toolStripStatusLabel1.Text = "Stitch error";
}
}
}
private void selectImagesButton_Click(object sender, EventArgs e)
{
OpenFileDialog dlg = new OpenFileDialog();
dlg.CheckFileExists = true;
dlg.Multiselect = true;
if (dlg.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
sourceImageDataGridView.Rows.Clear();
Image<Bgr, byte>[] sourceImages = new Image<Bgr, byte>[dlg.FileNames.Length];
for (int i = 0; i < sourceImages.Length; i++)
{
sourceImages[i] = new Image<Bgr, byte>(dlg.FileNames[i]);
using (Image<Bgr, byte> thumbnail = sourceImages[i].Resize(200, 200, Emgu.CV.CvEnum.Inter.Cubic, true))
{
DataGridViewRow row = sourceImageDataGridView.Rows[sourceImageDataGridView.Rows.Add()];
row.Cells["FileNameColumn"].Value = dlg.FileNames[i];
row.Cells["ThumbnailColumn"].Value = thumbnail.ToBitmap();
row.Height = 200;
}
}
try
{
using (Stitcher stitcher = new Stitcher(true))
{
using (VectorOfMat vm = new VectorOfMat())
{
Mat result = new Mat();
vm.Push(sourceImages);
Stitcher.Status stitchStatus = stitcher.Stitch(vm, result);
if (stitchStatus == Stitcher.Status.Ok)
resultImageBox.Image = result;
else
{
MessageBox.Show(this, String.Format("Stiching Error: {0}", stitchStatus));
resultImageBox.Image = null;
}
}
}
}
finally
{
foreach (Image<Bgr, Byte> img in sourceImages)
{
img.Dispose();
}
}
}
}
public async Task<Stream> StitchImages(List<string> imageUrls)
{
if (imageUrls == null || !imageUrls.Any())
{
return null;
}
var httpClient = new HttpClient();
var imageStreams = new List<Stream>();
foreach (var imageUrl in imageUrls)
{
var imageStream = await httpClient.GetStreamAsync(imageUrl);
imageStreams.Add(imageStream);
}
var imageBitmaps = new List<Bitmap>();
foreach (var imageStream in imageStreams)
{
var imageBitmap = new Bitmap(imageStream);
imageBitmaps.Add(imageBitmap);
}
var emguImages = new List<Image<Bgr, byte>>();
foreach (var imageBitmap in imageBitmaps)
{
var image = new Image<Bgr, byte>(imageBitmap);
emguImages.Add(image);
}
var arr = new VectorOfMat();
foreach (var emguImage in emguImages)
{
arr.Push(emguImage.Mat);
}
var stitchedImage = new Mat();
using (var stitcher = new Stitcher(false))
{
stitcher.Stitch(arr, stitchedImage);
}
var resultMemStream = new MemoryStream();
stitchedImage.Bitmap.Save(resultMemStream, ImageFormat.Jpeg);
resultMemStream.Position = 0;
return resultMemStream;
}
private void selectImagesButton_Click(object sender, EventArgs e)
{
OpenFileDialog dlg = new OpenFileDialog();
dlg.CheckFileExists = true;
dlg.Multiselect = true;
if (dlg.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
sourceImageDataGridView.Rows.Clear();
Image<Bgr, Byte>[] sourceImages = new Image<Bgr, byte>[dlg.FileNames.Length];
for (int i = 0; i < sourceImages.Length; i++)
{
sourceImages[i] = new Image<Bgr, byte>(dlg.FileNames[i]);
using (Image<Bgr, byte> thumbnail = sourceImages[i].Resize(200, 200, Emgu.CV.CvEnum.Inter.Cubic, true))
{
DataGridViewRow row = sourceImageDataGridView.Rows[sourceImageDataGridView.Rows.Add()];
row.Cells["FileNameColumn"].Value = dlg.FileNames[i];
row.Cells["ThumbnailColumn"].Value = thumbnail.ToBitmap();
row.Height = 200;
}
}
try
{
//using (Stitcher stitcher = new Stitcher(true))
//CUDA bruteforce matcher seems to cause issue in this release, not using CUDA for matching for this reason
using (Stitcher stitcher = new Stitcher(false))
{
using (VectorOfMat vm = new VectorOfMat())
{
Mat result = new Mat();
vm.Push(sourceImages);
stitcher.Stitch(vm, result);
resultImageBox.Image = result;
}
}
}
finally
{
foreach (Image<Bgr, Byte> img in sourceImages)
{
img.Dispose();
}
}
}
}
public async Task<HttpResponseMessage> GetPanoDemo()
{
try
{
var imgUrl1 = @"https://cs.brown.edu/courses/csci1950-g/results/proj6/edwallac/source001_01.jpg";
var imgUrl2 = @"https://cs.brown.edu/courses/csci1950-g/results/proj6/edwallac/source001_02.jpg";
var img1Stream = await(new HttpClient()).GetStreamAsync(imgUrl1);
var img2Stream = await(new HttpClient()).GetStreamAsync(imgUrl2);
var bitmap1 = new Bitmap(img1Stream);
var bitmap2 = new Bitmap(img2Stream);
var img1 = new Image<Bgr, byte>(bitmap1);
var img2 = new Image<Bgr, byte>(bitmap2);
var arr = new VectorOfMat();
arr.Push(new[] { img1, img2 });
var stitchedImage = new Mat();
using (var stitcher = new Stitcher(false))
{
stitcher.Stitch(arr, stitchedImage);
}
var resultMemStream = new MemoryStream();
stitchedImage.Bitmap.Save(resultMemStream, ImageFormat.Jpeg);
resultMemStream.Position = 0;
var responseMessage = new HttpResponseMessage
{
Content = new StreamContent(resultMemStream)
{
Headers =
{
ContentLength = resultMemStream.Length,
ContentType = new MediaTypeHeaderValue("image/jpeg"),
ContentDisposition = new ContentDispositionHeaderValue("attachment")
{
FileName = HttpUtility.UrlDecode("result.jpg"),
Size = resultMemStream.Length
}
}
}
};
return responseMessage;
}
catch (Exception e)
{
return new HttpResponseMessage(HttpStatusCode.InternalServerError)
{
ReasonPhrase = e.Message
};
}
}
private void ChangeState()
{
foreach (Control c in pnlCommand.Controls)
{
c.Enabled = !processing;
}
lblTimer.Enabled = true;
captureToolStripMenuItem.Enabled = !processing;
browseToolStripMenuItem.Enabled = !processing;
resetToolStripMenuItem.Enabled = !processing;
btnStitch.Enabled = true;
if (processing)
{
btnStitch.Text = "&Stop";
stitchToolStripMenuItem.Text = "&Stop";
stitcher = new Stitcher(false);
}
else
{
btnStitch.Text = "&Stitch";
stitchToolStripMenuItem.Text = "&Stitch";
stitcher.Dispose();
}
}
public void TestStitching2()
{
Image<Bgr, Byte>[] images = new Image<Bgr, byte>[4];
images[0] = EmguAssert.LoadImage<Bgr, Byte>("stitch1.jpg");
images[1] = EmguAssert.LoadImage<Bgr, Byte>("stitch2.jpg");
images[2] = EmguAssert.LoadImage<Bgr, Byte>("stitch3.jpg");
images[3] = EmguAssert.LoadImage<Bgr, Byte>("stitch4.jpg");
using (Stitcher stitcher = new Stitcher(false))
using (OrbFeaturesFinder finder = new OrbFeaturesFinder(new Size(3, 1)))
{
stitcher.SetFeaturesFinder(finder);
Mat result = new Mat();
using (VectorOfMat vm = new VectorOfMat())
{
vm.Push(images);
stitcher.Stitch(vm, result);
}
//Emgu.CV.UI.ImageViewer.Show(result);
}
}
private void buttonStitcher_Click(object sender, EventArgs e)
{
Image<Bgr, Byte>[] sources;
OpenFileDialog open = new OpenFileDialog();
open.CheckFileExists = true;
open.Multiselect = true;
open.Filter = "打开图片|*.jpg";
open.ShowDialog();
sources = new Image<Bgr, byte>[open.FileNames.Length];
for (int i = 0; i < open.FileNames.Length; i++)
{
sources[i] = new Image<Bgr, byte>(open.FileNames[i]);
}
pictureBox1.Image = new Bitmap(sources[0].Bitmap,100,75);
pictureBox2.Image = new Bitmap(sources[1].Bitmap, 100, 75);
pictureBox3.Image = new Bitmap(sources[2].Bitmap, 100, 75);
Stitcher stitcher = new Stitcher(false);
Image<Bgr, byte> result = stitcher.Stitch(sources);
pictureBoxAll.Image = new Bitmap(result.Bitmap, 800, 350);
}
public void TestStitching4()
{
Mat[] images = new Mat[1];
images[0] = EmguAssert.LoadMat("stitch1.jpg");
using (Stitcher stitcher = new Stitcher(false))
//using (OrbFeaturesFinder finder = new OrbFeaturesFinder(new Size(3, 1)))
{
//stitcher.SetFeaturesFinder(finder);
Mat result = new Mat();
using (VectorOfMat vm = new VectorOfMat())
{
vm.Push(images);
stitcher.Stitch(vm, result);
}
//Emgu.CV.UI.ImageViewer.Show(result);
}
}
internal static extern void cveStitcherSetWaveCorrectionKind(IntPtr stitcher, Stitcher.WaveCorrectionType kind);
public static bool Sticher(IEnumerable<string> fileList, string saveFileLocation)
{
var imageArray = from fileName in fileList
select new Image<Bgr, byte>(fileName);
try
{
using (var stitcher = new Stitcher(false))
{
using (var vm = new VectorOfMat())
{
var result = new Mat();
vm.Push(imageArray.ToArray());
stitcher.Stitch(vm, result);
result.Save(saveFileLocation);
}
}
return true;
}
catch (Exception ex)
{
Logger.Error("Failed to stich !!", ex);
return false;
}
finally
{
foreach (Image<Bgr, Byte> img in imageArray)
{
img.Dispose();
}
}
}
