/// <summary>
/// Loads a texture from a file
/// </summary>
/// <param name="filename">The file from which to get the texture</param>
/// <returns>If it loaded the texture correctly</returns>
public bool Load(string filename)
{
FileStream fs = new FileStream(filename, FileMode.Open);
BinaryReader br = new BinaryReader(fs);
//Read the size
int sizex = br.ReadInt32();
int sizey = br.ReadInt32();
this.Scale(sizex, sizey); //Scale to new size
ComponentEditor.ModifyAll(this,null); //And clear
//Read textures
int totalPixels = br.ReadInt32();
for (int i = 0; i < totalPixels; i++ )
{
int x = br.ReadInt32();
int y = br.ReadInt32();
char c = (char)br.ReadInt32();
ConsoleColor f = (ConsoleColor)br.ReadInt32();
ConsoleColor b = (ConsoleColor)br.ReadInt32();
Contents[x, y] = new Pixel(c, f, b);
}
return true;
}
//===========================================================================================
public static void AreNotEqual(Pixel expected, Pixel actual)
{
Assert.IsNotNull(expected);
Assert.IsNotNull(actual);
AreNotEqual(expected.ToColor(), actual.ToColor());
}
public override void FrameSet(Pixel pixel, int position) {
if (position < 0) { return; }
int currentRow = position / (int)(NumberOfPanels * ColumnsPerPanel);
int currentColumn = position % (int)(NumberOfPanels * ColumnsPerPanel);
Frame[PointPostion(currentRow, currentColumn)] = pixel;
}
private static Pixel MergeRgb(Pixel p0, Pixel p1, Pixel p2)
{
var from = (p0 + p1 + p2) / 3;
var to = new Pixel(p0.C0, p1.C1, p2.C2, from.C3);
var p = 1.0;
return from + (to - from) * p;
}
private static int ColorHash(Pixel colour)
{
int num = 0;
if (colour.A > 0)
{
num = (((((0xff - colour.R) * 0x100) * 0x100) + ((0xff - colour.G) * 0x100)) + (0xff - colour.B)) + 1;
}
return num;
}
public void SetPixel( int x, int y, Pixel colour )
{
if ( Image.TiledView )
{
x = Wrap( x, Image.Width );
y = Wrap( y, Image.Height );
}
Pixels[ x, y ] = colour;
DrawPixel( x, y );
}
Tuple<int, int> GetLowerUpper(Pixel trimColor, IEnumerable<Pixel[]> array,
string lower, string upper)
{
Predicate<bool> notTrue = (b) => {return !b;};
var rows = array.Select(x => AllEqual(x, trimColor)).ToList();
return Tuple.Create((GetValue<bool>(lower)) ? rows.FindIndex(notTrue) : 0,
(GetValue<bool>(upper)) ? rows.FindLastIndex(notTrue) + 1
: rows.Count());
}
//эта штука нужна, если мы попали на границу нашей картинки. Мы не можем взять 4 точки для интерполяции, поэтому берём только две
private double LinearInterpolate(Pixel first, Pixel second, double x, double y)
{
if (first == null || second == null)//если вдруг мы попали в угол картинки. У нас не будет даже двух точек - будет всего одна
return (first ?? second).Intensity;
if (first.Y == second.Y)
return Math.Abs((second.X - x) * first.Intensity + (x - first.X) * second.Intensity);
if (first.X == second.X)
return Math.Abs((second.Y - y) * first.Intensity + (y - first.Y) * second.Intensity);
throw new Exception("Somthing wrong :)");
}
double[,] Normalize(ref Pixel x)
{
//Gaussian distribution
double[,] Px_i = new double[NumofClasses, NumofFeatures];
for (int i = 0; i < NumofClasses; ++i)
{
Px_i[i, 0] = ((double)1 / Math.Sqrt(2 * Math.PI) * Sigma[i,0]) * Math.Exp(-Math.Pow((x.R - Mu[i,0]), 2) / (2 * Math.Pow(Sigma[i,0], 2)));
Px_i[i, 1] = ((double)1 / Math.Sqrt(2 * Math.PI) * Sigma[i,1]) * Math.Exp(-Math.Pow((x.G - Mu[i,1]), 2) / (2 * Math.Pow(Sigma[i,1], 2)));
Px_i[i, 2] = ((double)1 / Math.Sqrt(2 * Math.PI) * Sigma[i,2]) * Math.Exp(-Math.Pow((x.B - Mu[i,2]), 2) / (2 * Math.Pow(Sigma[i,2], 2)));
}
return Px_i;
}
public void ContainsCornerPixelsTest()
{
var _Rectangle = new Rectangle<Double>(10, 20, 30, 40);
var _Pixel1 = new Pixel<Double>(10, 20);
var _Pixel2 = new Pixel<Double>(30, 20);
var _Pixel3 = new Pixel<Double>(10, 40);
var _Pixel4 = new Pixel<Double>(30, 40);
Assert.IsTrue(_Rectangle.Contains(_Pixel1));
Assert.IsTrue(_Rectangle.Contains(_Pixel2));
Assert.IsTrue(_Rectangle.Contains(_Pixel3));
Assert.IsTrue(_Rectangle.Contains(_Pixel4));
}
public void Filter(IImage image, double[,] filter)
{
if (filter.GetLength(0) != filter.GetLength(1))
{
throw new ArgumentException("invalid filter", nameof(filter));
}
var result = new Pixel[image.Width, image.Height];
double blue = 0.0;
double green = 0.0;
double red = 0.0;
int filterOffset = (filter.GetLength(0) - 1) / 2;
for (int offsetY = filterOffset; offsetY < image.Height - filterOffset; offsetY++)
{
for (int offsetX = filterOffset; offsetX < image.Width - filterOffset; offsetX++)
{
blue = 0;
green = 0;
red = 0;
for (int filterY = -filterOffset; filterY <= filterOffset; filterY++)
{
for (int filterX = -filterOffset; filterX <= filterOffset; filterX++)
{
var imagePixel = image.GetPixel(offsetX + filterX, offsetY + filterY);
blue += (double)(imagePixel.B) * filter[filterY + filterOffset, filterX + filterOffset];
green += (double)(imagePixel.G) * filter[filterY + filterOffset, filterX + filterOffset];
red += (double)(imagePixel.R) * filter[filterY + filterOffset, filterX + filterOffset];
}
}
blue = Factor * blue + Bias;
green = Factor * green + Bias;
red = Factor * red + Bias;
result[offsetX, offsetY] = new Pixel { R = this.ToByte(red), G = this.ToByte(green), B = this.ToByte(blue) };
}
}
for (int x = 0; x < result.GetLength(0); x++)
{
for (int y = 0; y < result.GetLength(1); y++)
{
image.SetPixel(x, y, result[x, y]);
}
}
}
public void ProcessImage(IImage inputImage)
{
var segments = _segmentationAlgoritm.ProcessImage(inputImage);
var image = segments.SegmentationMatrix;
for (int j = 0; j < inputImage.Height; j++)
{
for (int i = 0; i < inputImage.Width; i++)
{
var random = new Random(image[i, j]);
var pixel = new Pixel { R = (byte)random.Next(255), G = (byte)random.Next(255), B = (byte)random.Next(255) };
inputImage.SetPixel(i, j, pixel);
}
}
}
private byte GetForColorizer(Pixel p)
{
byte b = unchecked((byte)(Math.Floor((double)(getForPallet(p.R) / (byte)42)) * Math.Floor((double)(getForPallet(p.G) / (byte)42)) * Math.Floor((double)(getForPallet(p.B) / (byte)42))));
if (b == 0)
{
return 1;
}
else if (b == 1)
{
return 0;
}
else
{
return unchecked((byte)(b + (byte)2));
}
}
public void ReadCurrentRow__moves_through_complete_row()
{
var p = new Pixel(50, 25);
var called = 0;
var reader = new Mock<IImageReader>();
reader.Setup(i => i.CurrentPixelType()).Returns(PixelType.Water);
reader.Setup(i => i.NextRow()).Returns(() => { called++; return called < 50; });
reader.Setup(i => i.CurrentPixel).Returns(p);
reader.Setup(i => i.FrameHeight).Returns(50);
var imageParser = new ImageParser(reader.Object);
var res = imageParser.ReadCurrentRow();
res.Should().Be(p);
called.Should().BeGreaterOrEqualTo(49);
}
public Renderer(VariableSet variables, Drawable drawable)
: base(variables)
{
_drawable = drawable;
int bpp = drawable.Bpp;
_pixel = drawable.CreatePixel();
_color = GetValue<bool>("color");
if (drawable.HasAlpha)
{
bpp--;
_pixel.Alpha = 255;
}
_calculator = new Calculator(GetValue<int>("points"),
GetValue<int>("closest"),
bpp, drawable.MaskBounds,
(int) GetValue<UInt32>("seed"));
}
public void ConstructorTests()
{
var m = new Matrix<Pixel>(
new Pixel(1, 1, 1, 1), new Pixel(1, 1, 2, 2),
new Pixel(2, 2, 1, 1), new Pixel(2, 2, 2, 2));
for(var i = 0; i < m.Width; i++)
{
var x = (byte)(i + 1);
for (var j = 0; j < m.Height; j++)
{
var y = (byte)(j + 1);
var p = new Pixel(y, y, x, x);
Trace.WriteLine($"[{x}, {y}]: {p} == {m[i,j]}");
Assert.AreEqual(m[i, j], p,
$"{m[i, j]} <> {p}\n{m}");
}
}
}
public int Classify(ref Pixel features, ref double[,] loss)
{
double[,] pxjwi = Normalize(ref features);
double[] pxwi = new double[NumofClasses];
for (int i = 0; i < NumofClasses; ++i)
{
pxwi[i] = 1;
for (int j = 0; j < NumofFeatures; ++j)
pxwi[i] *= pxjwi[i, j];
}
double sum = 0;
for (int i = 0; i < NumofClasses; ++i)
{
pxwi[i] *= PClasses;
sum += pxwi[i];
}
for (int i = 0; i < NumofClasses; ++i)
{
pxwi[i] /= sum;
}
double[] r = new double[NumofActions];
for (int i = 0; i < NumofActions; ++i)
{
sum = 0;
for (int j = 0; j < NumofClasses; ++j)
sum += loss[i,j] * pxwi[j];
r[i] = sum;
}
// Return the index of the lowest risk of the N Actions
double x = int.MaxValue; int ind = 0;
for (int i = 0; i < NumofActions; ++i)
if (x > r[i])
{
x = r[i];
ind = i;
}
return ind;
}
public Layer( ImageInfo image, String label = null )
{
Image = image;
if ( label == null )
{
int i = 1;
while ( image.Layers.Exists( x => x.Label.ToLower().Equals( "layer " + i ) ) )
++i;
label = "layer " + i;
}
Label = label;
Pixels = new Pixel[ Width, Height ];
Bitmap = new Bitmap( Width, Height );
for ( int x = 0; x < Width; ++x )
for ( int y = 0; y < Height; ++y )
SetPixel( x, y, Pixel.Empty );
}
public override void Write(Pixel[] frame) {
ulong[] outputGreen = new ulong[PanelsPerFrame];
ulong[] outputRed = new ulong[PanelsPerFrame];
ulong pixelStateGreen = 0;
ulong pixelStateRed = 0;
for (int panels = 0; panels < PanelsPerFrame; panels++) {
for (int i = panels * 64; i < 64 + (panels * 64); i++) {
switch (frame[i].ColourValue) {
case 65280: // green
pixelStateGreen = 1UL;
pixelStateGreen = pixelStateGreen << i;
outputGreen[panels] = outputGreen[panels] | pixelStateGreen;
break;
case 16711680: // red
pixelStateRed = 1UL;
pixelStateRed = pixelStateRed << i;
outputRed[panels] = outputRed[panels] | pixelStateRed;
break;
case 16776960: //yellow
pixelStateGreen = 1UL;
pixelStateGreen = pixelStateGreen << i;
outputGreen[panels] = outputGreen[panels] | pixelStateGreen;
pixelStateRed = 1UL;
pixelStateRed = pixelStateRed << i;
outputRed[panels] = outputRed[panels] | pixelStateRed;
break;
}
}
}
Write(outputGreen, outputRed);
}
static void Main(string[] args)
{
while (true)
{
Console.WriteLine("Username:"******" ");
if ((i + 1) % 4 == 0)
{
Console.WriteLine();
Console.BackgroundColor = ConsoleColor.Black;
}
}
}
}
private void ConvertToPixels()
{
int w = Bitmap.PixelWidth;
int h = Bitmap.PixelHeight;
int stride = Bitmap.BackBufferStride;
int size = stride * h;
Pixels = new Pixel[h,w];
Bitmap.Lock();
unsafe
{
var pixels = (byte*)Bitmap.BackBuffer;
int i=0;
for (int y = 0; y < h; y++)
{
for (int x = 0; x < w; x++, i += 4)
{
Pixels[y, x] = new Pixel(pixels[i+2],pixels[i+1],pixels[i]);
}
}
}
// Bitmap.AddDirtyRect(new Int32Rect(0, 0, w, h));
Bitmap.Unlock();
}
private void Fill(Point position, Pixel oldColor)
{
var front = new Queue<Point>();
front.Enqueue(position);
while (front.Count > 0)
{
Point point = front.Dequeue();
if (GetPixel(point) == oldColor)
{
SetPixel(point.X, point.Y);
if (point.X > 0)
front.Enqueue(new Point(point.X - 1, point.Y));
if (point.X < 599)
front.Enqueue(new Point(point.X + 1, point.Y));
if (point.Y > 0)
front.Enqueue(new Point(point.X, point.Y - 1));
if (point.Y < 599)
front.Enqueue(new Point(point.X, point.Y + 1));
}
}
}
private void EvaluateCurrentColor()
{
double rC = Math.Floor(_bucketColor.Sum(color => color.R)/(double) _bucketColor.Count);
double gC = Math.Floor(_bucketColor.Sum(color => color.G)/(double) _bucketColor.Count);
double bC = Math.Floor(_bucketColor.Sum(color => color.B)/(double) _bucketColor.Count);
double aC = Math.Floor(_bucketAlpha.Sum(color => color)/(double) _bucketAlpha.Count);
if (_bucketAlpha.Count == 0)
aC = 255;
if (_bucketColor.Count == 0)
{
rC = gC = bC = 0;
}
_currentColor = new Pixel(Color.FromArgb((int) Math.Floor(rC*aC/255.0),
(int) Math.Floor(gC*aC/255.0),
(int) Math.Floor(bC*aC/255.0)), (byte) Math.Floor(aC));
}
private static PixelMap CreateTransperentBitmap()
{
var result = new PixelMap();
for (int x = 0; x < 600; ++x)
for (int y = 0; y < 600; ++y)
{
result[x,y] = new Pixel(_black, _transparent);
}
return result;
}
/// <summary>
/// Return the child index for a given color.
/// Depends on which level this node is in.
/// </summary>
/// <param name="pixel">color pixel to compute</param>
/// <returns>child index (0-7)</returns>
private int GetChildIndex(Pixel pixel)
{
// lvl: 0 1 2 3 4 5 6 7
// bit: 7 6 5 4 3 2 1 0
var shift = 7 - this.nodeLevel;
int mask = NodeLevelMasks[this.nodeLevel];
return ((pixel.Red & mask) >> (shift - 2)) |
((pixel.Green & mask) >> (shift - 1)) |
((pixel.Blue & mask) >> shift);
}
/// <summary>
/// Given a source color, return the palette index to use for the reduced image.
/// Returns -1 if the color is not represented in the octree (this happens if
/// the color has been dithered into a new color that did not appear in the
/// original image when the octree was formed in pass 1.
/// </summary>
/// <param name="pixel">source color to look up</param>
/// <returns>palette index to use</returns>
internal int GetPaletteIndex(Pixel pixel)
{
int paletteIndex = -1;
if (this.nodeIsLeaf)
{
// Use this leaf node's palette index
paletteIndex = this.nodePaletteIndex;
}
else
{
// Get the index at this level for the rgb values
var childIndex = this.GetChildIndex(pixel);
if (this.nodeChildNodes[childIndex] != null)
{
// Recurse...
paletteIndex = this.nodeChildNodes[childIndex].GetPaletteIndex(pixel);
}
}
return paletteIndex;
}
/// <summary>
/// Add the given color to this node if it is a leaf, otherwise recurse
/// down the appropriate child
/// </summary>
/// <param name="pixel">color to add</param>
/// <returns>true if a new color was added to the octree</returns>
internal bool AddColor(Pixel pixel)
{
bool colorAdded;
if (this.nodeIsLeaf)
{
// Increase the pixel count for this node, and if
// the result is 1, then this is a new color
colorAdded = ++this.nodePixelCount == 1;
// Add the color to the running sum for this node
this.nodeRedSum += pixel.Red;
this.nodeGreenSum += pixel.Green;
this.nodeBlueSum += pixel.Blue;
// Set the last node so we can quickly process adjacent pixels
// with the same color
this.nodeOctree.SetLastNode(this, pixel.Argb);
}
else
{
// Get the index at this level for the rgb values
int childIndex = this.GetChildIndex(pixel);
// If there is no child, add one now to the next level
if (this.nodeChildNodes[childIndex] == null)
{
this.nodeChildNodes[childIndex] = new OctreeNode(this.nodeLevel + 1, this.nodeOctree);
}
// Recurse...
colorAdded = this.nodeChildNodes[childIndex].AddColor(pixel);
}
return colorAdded;
}
/// <summary>
/// Given a pixel color, return the index of the palette entry
/// we want to use in the reduced image. If the color is not in the
/// octree, OctreeNode.GetPaletteIndex will return a negative number.
/// In that case, we will have to calculate the palette index the brute-force
/// method by computing the least distance to each color in the palette array.
/// </summary>
/// <param name="pixel">pointer to the pixel color we want to look up</param>
/// <returns>index of the palette entry we want to use for this color</returns>
internal int GetPaletteIndex(Pixel pixel)
{
int paletteIndex = 0;
// transparent is always the first entry, so if this is transparent,
// don't do anything.
if (pixel.Alpha > 0)
{
paletteIndex = this.octreeRoot.GetPaletteIndex(pixel);
// returns -1 if this value isn't in the octree.
if (paletteIndex < 0)
{
// Use the brute-force method of calculating the closest color
// in the palette to the one we want
int minDistance = int.MaxValue;
for (int ndx = 0; ndx < this.octreePalette.Length; ++ndx)
{
Color paletteColor = this.octreePalette[ndx];
// Calculate the delta for each channel
int deltaRed = pixel.Red - paletteColor.R;
int deltaGreen = pixel.Green - paletteColor.G;
int deltaBlue = pixel.Blue - paletteColor.B;
// Calculate the distance-squared by summing each channel's square
int distance = (deltaRed * deltaRed) + (deltaGreen * deltaGreen) + (deltaBlue * deltaBlue);
if (distance < minDistance)
{
minDistance = distance;
paletteIndex = ndx;
}
}
}
}
return paletteIndex;
}
/// <summary>Add the given pixel color to the octree</summary>
/// <param name="pixel">points to the pixel color we want to add</param>
internal void AddColor(Pixel pixel)
{
// If the A value is non-zero (ignore the transparent color)
if (pixel.Alpha > 0)
{
// If we have a previous node and this color is the same as the last...
if (this.octreeLastNode != null && pixel.Argb == this.octreeLastArgb)
{
// Just add this color to the same last node
this.octreeLastNode.AddColor(pixel);
}
else
{
// Just start at the root. If a new color is added,
// add one to the count (otherwise 0).
this.octreeColorCount += this.octreeRoot.AddColor(pixel) ? 1 : 0;
}
}
else
{
// Flag that we have a transparent color.
this.octreeHasTransparent = true;
}
}
public void Render(Image image, Drawable drawable)
{
var parser = new MathExpressionParser();
parser.Init(GetValue<string>("formula"), image.Dimensions);
var newImage = new Image(image.Dimensions, image.BaseType);
var srcPR = new PixelRgn(drawable, image.Bounds, false, false);
PixelRgn destPR1 = null;
var layer1 = AddLayer(newImage, 1, _("layer_one"), "translate_1_x",
"translate_1_y", out destPR1);
PixelRgn destPR2 = null;
var layer2 = AddLayer(newImage, 2, _("layer_two"), "translate_2_x",
"translate_2_y", out destPR2);
var transparent = new Pixel(4);
if (destPR1 != null && destPR2 != null)
{
var iterator = new RegionIterator(srcPR, destPR1, destPR2);
iterator.ForEach((src, dest1, dest2) =>
{
var tmp = Copy(src);
if (parser.Eval(src) < 0)
{
dest1.Set(tmp);
dest2.Set(transparent);
}
else
{
dest2.Set(tmp);
dest1.Set(transparent);
}
});
}
else if (destPR1 != null)
{
var iterator = new RegionIterator(srcPR, destPR1);
iterator.ForEach((src, dest) =>
dest.Set((parser.Eval(src) < 0)
? Copy(src) : transparent));
}
else // destPR2 != null
{
var iterator = new RegionIterator(srcPR, destPR2);
iterator.ForEach((src, dest) =>
dest.Set((parser.Eval(src) >= 0)
? Copy(src) : transparent));
}
Rotate(layer1, GetValue<int>("rotate_1"));
Rotate(layer2, GetValue<int>("rotate_2"));
if (GetValue<bool>("merge"))
{
var merged =
newImage.MergeVisibleLayers(MergeType.ExpandAsNecessary);
merged.Offsets = new Offset(0, 0);
newImage.Resize(merged.Dimensions, merged.Offsets);
}
new Display(newImage);
Display.DisplaysFlush();
}
