private void RecordFileSettingButton_Click(object sender, EventArgs e)
{
var isActive = (bool)this.recordFileSettingButton.Tag;
if (isActive == false)
{
return;
}
if (this.Root.Recorder.IsRecording(this._currentRecordType))
{
return;
}
var dialog = new Fire_Detector.Dialog.RecordDialog();
if (dialog.ShowDialog() != DialogResult.OK)
{
return;
}
this._currentRecordType = dialog.RecordingType;
this._currentResolution = dialog.Resolution;
this.ShowDetectionBoxes = dialog.ShowDetectionBoxes;
this.ShowGmap = dialog.ShowGmap;
}
private void RbChanged(object sender, RoutedEventArgs e)
{
RadioButton radio = sender as RadioButton;
if (radio == null)
{
return;
}
string text = radio.Content as string;
if (string.Equals(text, "原画"))
{
_tranformSize = new OpenCvSharp.Size(0, 0);
}
else if (string.Equals(text, "1080p"))
{
_tranformSize = new OpenCvSharp.Size(1920, 1080);
}
else if (string.Equals(text, "720p"))
{
_tranformSize = new OpenCvSharp.Size(1280, 720);
}
else if (string.Equals(text, "480p"))
{
_tranformSize = new OpenCvSharp.Size(854, 480);
}
}
public µImage(ImageType type, Int32 width, Int32 height)
{
var µsize = new OpenCvSharp.Size();
µsize.Width = width;
µsize.Height = height;
switch (type) {
case ImageType.U8:
_image = new OpenCvSharp.Mat(µsize, OpenCvSharp.MatType.CV_8U);
break;
case ImageType.U16:
_image = new OpenCvSharp.Mat(µsize, OpenCvSharp.MatType.CV_16U);
break;
default:
Debug.Fail("Unknown image type!");
break;
}
}
public void SetInputSize(int width, int height, int inChannels)
{
inW = width; inH = height;
inCh = inChannels;
int _outW = 0, _outH = 0;
Adjustment(width, height, out _outW, out _outH);
outW = _outW; outH = _outH;
var inS = new OpenCvSharp.Size(inW, inH);
var outS = new OpenCvSharp.Size(outW, outH);
Input = new BufferField(GPU, inS, inCh);
Output = new BufferField(GPU, outS, outCh);
Sigma = new BufferField(GPU, outS, outCh);
Propagater = new BufferField(GPU, inS, inCh);
ConfirmField();
}
public void Confirm(OpenCvSharp.Size sourceSize)
{
Layers[0].property.SetInputSize(sourceSize.Width, sourceSize.Height, LearningReader.ReadChannels);
for (int i = 1; i < Layers.Count; i++)
{
Layers[i].property.SetInputSize(
Layers[i - 1].property.Output.Width,
Layers[i - 1].property.Output.Height,
Layers[i - 1].property.Output.Channels);
}
for (int i = 0; i < Layers.Count - 1; i++)
{
Layers[i + 1].property.Input = Layers[i].property.Output;
Layers[i].property.Sigma = Layers[i + 1].property.Propagater;
}
if (LearningReader != null)
{
LearningReader.ModelReflection(GPU, new Common.ModelEdgeParameter()
{
InputSize = new OpenCvSharp.Size(Layers[0].property.Input.Width, Layers[0].property.Input.Height),
InputChannels = Layers[0].property.Input.Channels,
OutputSize = new OpenCvSharp.Size(Layers[Layers.Count - 1].property.Output.Width, Layers[Layers.Count - 1].property.Output.Height),
OutputChannels = Layers[Layers.Count - 1].property.Output.Channels,
});
LearningReader.Start();
}
if (InferenceReader != null)
{
InferenceReader.ModelReflection(GPU, new Common.ModelEdgeParameter()
{
InputSize = new OpenCvSharp.Size(Layers[0].property.Input.Width, Layers[0].property.Input.Height),
InputChannels = Layers[0].property.Input.Channels,
OutputSize = new OpenCvSharp.Size(Layers[Layers.Count - 1].property.Output.Width, Layers[Layers.Count - 1].property.Output.Height),
OutputChannels = Layers[Layers.Count - 1].property.Output.Channels,
});
InferenceReader.Start();
}
}
static void Main(string[] args)
{
if (args.Length < 2)
{
Console.WriteLine("Usage: imagesimcli <comparison type (inter, intra)> <folder of file 1 .. N>");
}
var compare_type = args[0];
if (compare_type.Equals("inter", StringComparison.InvariantCultureIgnoreCase))
{
Console.WriteLine("Enumerating files...");
var paths = new List <string>();
foreach (var path in args.Skip(1))
{
PopulateFiles(path, paths);
}
if (paths.Count < 2)
{
Console.WriteLine("Error: at least 2 files needed. Aborting.");
return;
}
Console.WriteLine($"{paths.Count} files found");
Console.Write($"Calculating hashes: 0 of {paths.Count}");
var hashes = new Dictionary <string, ulong>(paths.Count);
var index = 0;
var clampTo = new OpenCvSharp.Size(512, 512);
foreach (var file in paths)
{
var hash = PHash.DCT.GetImageHash(file, clampTo.Width, clampTo.Height);
hashes[file] = hash;
Console.CursorLeft = 0;
Console.Write($"Calculating hashes: {++index} of {paths.Count}");
}
Console.WriteLine("\nDone");
/*Console.WriteLine("Running tests...");
* var hashList = hashes.ToList();
* index = 0;
* var results = RunInterTests(hashList, (kv1, kv2) =>
* {
* var distance = PHash.DCT.HammingDistance(kv1.Value, kv2.Value);
* return new { Index = index++, Left = kv1.Key, Right = kv2.Key, Distance = distance };
* }, selfTest: true);
*
* Console.WriteLine("Done\nResults:");
* foreach (var item in results)
* {
* Console.WriteLine($"{item.Index}; {item.Left}; {item.Right}; {item.Distance}");
* }*/
var headers = paths.Select(x => Path.GetFileNameWithoutExtension(x));
var header = ";" + string.Join(";", headers);
Console.WriteLine(header);
foreach (var left in paths)
{
Console.Write(Path.GetFileNameWithoutExtension(left) + ";");
foreach (var right in paths)
{
var dist = PHash.DCT.HammingDistance(hashes[left], hashes[right]);
Console.Write($"{dist};");
}
Console.WriteLine();
}
}
else if (compare_type.Equals("intra", StringComparison.InvariantCultureIgnoreCase))
{
if (args.Length < 3)
{
Console.WriteLine("Usage: imagesimcli intra <folder of file 1> <folder of file 2>");
}
var files1 = new List <string>();
var files2 = new List <string>();
PopulateFiles(args[1], files1);
PopulateFiles(args[2], files2);
files1.Sort();
files2.Sort();
var total = files1.Count + files2.Count;
Console.Write($"Calculating hashes: 0 of {total}");
var hashes = new Dictionary <string, ulong>(total);
var index = 0;
var clampTo = new OpenCvSharp.Size(512, 512);
foreach (var file in files1.Concat(files2))
{
var hash = PHash.DCT.GetImageHash(file, clampTo.Width, clampTo.Height);
hashes[file] = hash;
Console.CursorLeft = 0;
Console.Write($"Calculating hashes: {++index} of {total}");
}
Console.WriteLine("\nDone");
var headers = files2.Select(x => Path.GetFileNameWithoutExtension(x));
var header = ";" + string.Join(";", headers);
Console.WriteLine(header);
foreach (var left in files1)
{
Console.Write(Path.GetFileNameWithoutExtension(left) + ";");
foreach (var right in files2)
{
var dist = PHash.DCT.HammingDistance(hashes[left], hashes[right]);
Console.Write($"{dist};");
}
Console.WriteLine();
}
}
else
{
Console.WriteLine("Unknown comparison type");
return;
}
}
public static PythonTuple ToTuple(this OpenCvSharp.Size size)
{
return(new PythonTuple(new[] { size.Width, size.Height }));
}
public static Size ToSize(this OpenCvSharp.Size s)
{
return(new Size(s.Width, s.Height));
}
private void button3_Click(object sender, EventArgs e)
{
System.Environment.CurrentDirectory = apppath + "\\main";
string directoryName = apppath;
string fileName = "temp";
string extension = ".png";
if (openFileDialog1.FileName != "")
{
directoryName = System.IO.Path.GetDirectoryName(openFileDialog1.FileName);
fileName = System.IO.Path.GetFileNameWithoutExtension(openFileDialog1.FileName);
extension = System.IO.Path.GetExtension(openFileDialog1.FileName);
}
pictureBox2.Image = CreateImage(string.Format(@"results\calendar\output_{0:D4}" + ".png", 1));
string outfile = "";
outfile = directoryName + "\\" + fileName + "_super_res.avi";
OpenCvSharp.Size sz = new OpenCvSharp.Size(pictureBox2.Image.Width, pictureBox2.Image.Height);
int codec = 0; // コーデック(AVI)
var EncodedFormat = OpenCvSharp.FourCC.MJPG;
OpenCvSharp.VideoWriter vw = new OpenCvSharp.VideoWriter(outfile, EncodedFormat, Fps, sz, true);
DirectoryInfo images = new DirectoryInfo(@"results\calendar");
int filenum = 0;
foreach (FileInfo file in images.GetFiles())
{
filenum++;
}
for (int i = 0; i < filenum; i++)
{
if (stopping)
{
break;
}
string newfile = string.Format(@"results\calendar\output_{0:D4}" + ".png", i);
if (!System.IO.File.Exists(newfile))
{
continue;
}
var img = OpenCvSharp.Cv2.ImRead(newfile, OpenCvSharp.ImreadModes.Color);
//if (fileName != "temp")
//{
// OpenCvSharp.Cv2.Resize(img, img, OpenCvSharp.Size.Zero, pictureBox1.Width, pictureBox1.Height, OpenCvSharp.InterpolationFlags.Cubic);
//}
pictureBox2.Image = CreateImage(newfile);
newfile = string.Format(@"LR\calendar\{0:D4}" + ".png", i);
if (!System.IO.File.Exists(newfile))
{
continue;
}
pictureBox1.Image = CreateImage(newfile);
vw.Write(img);
}
vw.Dispose();
stopping = false;
}
private void finalProc()
{
System.Environment.CurrentDirectory = apppath;
if (File.Exists(apppath + @"\tecoGAN.mp4"))
{
File.Delete(apppath + @"\tecoGAN.mp4");
}
var app = new System.Diagnostics.ProcessStartInfo();
app.FileName = "cmd.exe";
app.UseShellExecute = true;
app.Arguments = " /c png2Video_run.bat";
if (!checkBox1.Checked)
{
app.Arguments += " (1/" + numericUpDown1.Value.ToString() + ") ";
}
else
{
app.Arguments += " " + numericUpDown1.Value.ToString();
}
var png2Video = System.Diagnostics.Process.Start(app);
png2Video.EnableRaisingEvents = true;
png2Video.WaitForExit();
MessageBox.Show("finished");
MessageBox.Show("finished");
if (File.Exists(apppath + @"\tecoGAN.mp4"))
{
Form2 video = new Form2();
video.axWindowsMediaPlayer1.URL = apppath + @"\tecoGAN.mp4";
video.Show();
}
#if false
System.Environment.CurrentDirectory = apppath + "\\main";
string directoryName = apppath;
string fileName = "temp";
string extension = ".png";
if (openFileDialog1.FileName != "")
{
directoryName = System.IO.Path.GetDirectoryName(openFileDialog1.FileName);
fileName = System.IO.Path.GetFileNameWithoutExtension(openFileDialog1.FileName);
extension = System.IO.Path.GetExtension(openFileDialog1.FileName);
}
pictureBox2.Image = CreateImage(string.Format(@"tecoGAN\results\calendar\output_{0:D4}" + ".png", 1));
string outfile = "";
outfile = directoryName + "\\" + fileName + "_super_res.avi";
if (File.Exists(outfile))
{
File.Delete(outfile);
}
OpenCvSharp.Size sz = new OpenCvSharp.Size(pictureBox2.Image.Width, pictureBox2.Image.Height);
int codec = 0; // コーデック(AVI)
var EncodedFormat = OpenCvSharp.FourCC.MJPG;
OpenCvSharp.VideoWriter vw = new OpenCvSharp.VideoWriter(outfile, EncodedFormat, Fps, sz, true);
DirectoryInfo images = new DirectoryInfo(@"tecoGAN\results\calendar");
int filenum = 0;
foreach (FileInfo file in images.GetFiles())
{
filenum++;
}
progressBar1.Value = 0;
progressBar1.Maximum = filenum;
for (int i = 0; i < filenum; i++)
{
if (stopping)
{
break;
}
string newfile = string.Format(@"tecoGAN\results\calendar\output_{0:D4}" + ".png", i);
if (!System.IO.File.Exists(newfile))
{
continue;
}
var img = OpenCvSharp.Cv2.ImRead(newfile, OpenCvSharp.ImreadModes.Color);
if (!checkBox1.Checked)
{
OpenCvSharp.Cv2.Resize(img, img, new OpenCvSharp.Size((int)((float)img.Width * (float)numericUpDown1.Value), (int)((float)img.Height * (float)numericUpDown1.Value)), 0, 0);
}
else
{
OpenCvSharp.Cv2.Resize(img, img, new OpenCvSharp.Size((int)(0.5f + (float)img.Width / (float)numericUpDown1.Value), (int)(0.5f + (float)img.Height / (float)numericUpDown1.Value)), 0, 0);
}
pictureBox1.Image = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(img);
//pictureBox2.Image = CreateImage(newfile);
newfile = string.Format(@"tecoGAN\LR\calendar\{0:D4}" + ".png", i);
if (!System.IO.File.Exists(newfile))
{
continue;
}
pictureBox1.Image = CreateImage(newfile);
vw.Write(img);
progressBar1.Value++;
progressBar1.Refresh();
Application.DoEvents(); // 非推奨
}
vw.Dispose();
stopping = false;
MessageBox.Show("finished");
if (File.Exists(outfile))
{
Form2 video = new Form2();
video.axWindowsMediaPlayer1.URL = outfile;
video.Show();
}
progressBar1.Value = 0;
#endif
}
public Vector2(OpenCvSharp.Size size) : this(size.Width, size.Height)
{
}
public static void µReadDICONDEFile(µImage destination, string fileName)
{
string aFileName = fileName;
var mIOD = (new IOD(aFileName));
int mColumnCount = DICONDEParserUtility.GetDICONDEAttributeAsInt(mIOD.XDocument, "(0028,0011)"); //width
int mRowCount = DICONDEParserUtility.GetDICONDEAttributeAsInt(mIOD.XDocument, "(0028,0010)"); //height
bool aPixelPaddingValueExist = DICONDEParserUtility.DoesDICONDEAttributeExist(mIOD.XDocument, "(0028,0120)");
int aPixelPaddingValue = DICONDEParserUtility.GetDICONDEAttributeAsInt(mIOD.XDocument, "(0028,0120)");
int aPixelBitsAllocated = DICONDEParserUtility.GetDICONDEAttributeAsInt(mIOD.XDocument, "(0028,0100)");
ushort aPixelPaddingValue16;
aPixelPaddingValue16 = 0;
int aWindowCenter = DICONDEParserUtility.GetDICONDEAttributeAsInt(mIOD.XDocument, "(0028,1050)");
int aWindowWidth = DICONDEParserUtility.GetDICONDEAttributeAsInt(mIOD.XDocument, "(0028,1051)");
var aPixelDataQuery = from Element in mIOD.XDocument.Descendants("DataElement")
where Element.Attribute("Tag").Value.Equals("(7FE0,0010)")
select Element;
// Get the start position of the stream for the pixel data attribute
long aStreamPosition = Convert.ToInt64(aPixelDataQuery.Last().Attribute("StreamPosition").Value);
BinaryReader aBinaryReader = new BinaryReader(File.Open(aFileName, FileMode.Open, FileAccess.Read, FileShare.Read));
// Set the stream position of the binary reader to first pixel
aBinaryReader.BaseStream.Position = aStreamPosition;
OpenCvSharp.Mat image = null;
var size = new OpenCvSharp.Size();
size.Width = mColumnCount;
size.Height = mRowCount;
long length = aBinaryReader.BaseStream.Length; //! Important to get length outside of the cycle, otherwise too sloooow
if (16 == aPixelBitsAllocated)
{
image = new OpenCvSharp.Mat(size, OpenCvSharp.MatType.CV_16U);
var mat16 = new OpenCvSharp.Mat <ushort>(image);
var indexer = mat16.GetIndexer();
for (int aRowIndex = 0; aRowIndex < mRowCount; aRowIndex++)
{
for (int aColumnIndex = 0; aColumnIndex < mColumnCount; aColumnIndex++)
{
// For some images, the pixel buffer is smaller than '2Byte * RowCount * ColumnCount'
// That's why we need the check...
if (aBinaryReader.BaseStream.Position - 2 < length)
{
byte aByte0 = aBinaryReader.ReadByte();
byte aByte1 = aBinaryReader.ReadByte();
ushort aPixelValue = Convert.ToUInt16((aByte1 << 8) + aByte0);
// Check for Pixel Padding Value
if ((aPixelPaddingValueExist) && (aPixelValue == aPixelPaddingValue16))
{
aPixelValue = UInt16.MinValue;
}
indexer[aRowIndex, aColumnIndex] = aPixelValue;
// Rescale handling
//aPixelValue = aPixelValue * aRescaleSlope + aRescaleIntercept;
// Value of the voxel is stored in Hounsfield Units
//mHounsfieldPixelBuffer[aRowIndex, aColumnIndex] = aPixelValue;
}
}
}
OpenCvSharp.Cv2.CopyTo(mat16, destination._image);
}
else
{
image = new OpenCvSharp.Mat(size, OpenCvSharp.MatType.CV_8U);
var mat8 = new OpenCvSharp.Mat <byte>(image);
var indexer = mat8.GetIndexer();
for (int aRowIndex = 0; aRowIndex < mRowCount; aRowIndex++)
{
for (int aColumnIndex = 0; aColumnIndex < mColumnCount; aColumnIndex++)
{
if (aBinaryReader.BaseStream.Position - 2 < length)
{
byte aPixelValue = aBinaryReader.ReadByte();
if ((aPixelPaddingValueExist) && (aPixelValue == aPixelPaddingValue16))
{
aPixelValue = 0;
}
indexer[aRowIndex, aColumnIndex] = aPixelValue;
}
}
}
OpenCvSharp.Cv2.CopyTo(mat8, destination._image);
}
}
