version update
562
Res/Gif.Components/AnimatedGifEncoder.cs
Executable file
@ -0,0 +1,562 @@
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using System;
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using System.IO;
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using SkiaSharp;
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namespace Gif.Components
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{
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public class AnimatedGifEncoder
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{
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protected int width; // image size
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protected int height;
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protected SKColor transparent = SKColor.Empty; // transparent color if given
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protected int transIndex; // transparent index in color table
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protected int repeat = -1; // no repeat
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protected int delay = 0; // frame delay (hundredths)
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protected bool started = false; // ready to output frames
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// protected BinaryWriter bw;
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protected MemoryStream ms;
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// protected FileStream fs;
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protected SKBitmap image; // current frame
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protected byte[] pixels; // BGR byte array from frame
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protected byte[] indexedPixels; // converted frame indexed to palette
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protected int colorDepth; // number of bit planes
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protected byte[] colorTab; // RGB palette
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protected bool[] usedEntry = new bool[256]; // active palette entries
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protected int palSize = 7; // color table size (bits-1)
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protected int dispose = -1; // disposal code (-1 = use default)
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protected bool closeStream = false; // close stream when finished
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protected bool firstFrame = true;
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protected bool sizeSet = false; // if false, get size from first frame
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protected int sample = 10; // default sample interval for quantizer
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/**
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* Sets the delay time between each frame, or changes it
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* for subsequent frames (applies to last frame added).
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*
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* @param ms int delay time in milliseconds
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*/
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public void SetDelay(int ms)
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{
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delay = (int)Math.Round(ms / 10.0f);
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}
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/**
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* Sets the GIF frame disposal code for the last added frame
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* and any subsequent frames. Default is 0 if no transparent
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* color has been set, otherwise 2.
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* @param code int disposal code.
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*/
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public void SetDispose(int code)
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{
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if (code >= 0)
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{
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dispose = code;
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}
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}
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/**
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* Sets the number of times the set of GIF frames
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* should be played. Default is 1; 0 means play
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* indefinitely. Must be invoked before the first
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* image is added.
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*
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* @param iter int number of iterations.
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* @return
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*/
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public void SetRepeat(int iter)
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{
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if (iter >= 0)
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{
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repeat = iter;
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}
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}
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/**
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* Sets the transparent color for the last added frame
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* and any subsequent frames.
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* Since all colors are subject to modification
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* in the quantization process, the color in the final
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* palette for each frame closest to the given color
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* becomes the transparent color for that frame.
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* May be set to null to indicate no transparent color.
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*
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* @param c Color to be treated as transparent on display.
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*/
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public void SetTransparent(SKColor c)
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{
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transparent = c;
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}
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/**
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* Adds next GIF frame. The frame is not written immediately, but is
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* actually deferred until the next frame is received so that timing
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* data can be inserted. Invoking <code>finish()</code> flushes all
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* frames. If <code>setSize</code> was not invoked, the size of the
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* first image is used for all subsequent frames.
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*
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* @param im BufferedImage containing frame to write.
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* @return true if successful.
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*/
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public bool AddFrame(SKBitmap im)
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{
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if ((im == null) || !started)
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{
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return false;
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}
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bool ok = true;
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try
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{
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if (!sizeSet)
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{
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// use first frame's size
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SetSize(im.Width, im.Height);
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}
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image = im;
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GetImagePixels(); // convert to correct format if necessary
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AnalyzePixels(); // build color table & map pixels
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if (firstFrame)
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{
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WriteLSD(); // logical screen descriptior
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WritePalette(); // global color table
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if (repeat >= 0)
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{
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// use NS app extension to indicate reps
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WriteNetscapeExt();
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}
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}
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WriteGraphicCtrlExt(); // write graphic control extension
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WriteImageDesc(); // image descriptor
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if (!firstFrame)
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{
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WritePalette(); // local color table
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}
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WritePixels(); // encode and write pixel data
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firstFrame = false;
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}
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catch (IOException)
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{
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ok = false;
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}
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return ok;
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}
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/**
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* Flushes any pending data and closes output file.
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* If writing to an OutputStream, the stream is not
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* closed.
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*/
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public bool Finish()
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{
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if (!started) return false;
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bool ok = true;
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started = false;
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try
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{
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ms.WriteByte(0x3b); // gif trailer
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ms.Flush();
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if (closeStream)
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{
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// ms.Close();
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}
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}
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catch (IOException)
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{
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ok = false;
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}
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// reset for subsequent use
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transIndex = 0;
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// fs = null;
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image = null;
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pixels = null;
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indexedPixels = null;
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colorTab = null;
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closeStream = false;
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firstFrame = true;
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return ok;
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}
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/**
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* Sets frame rate in frames per second. Equivalent to
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* <code>setDelay(1000/fps)</code>.
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*
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* @param fps float frame rate (frames per second)
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*/
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public void SetFrameRate(float fps)
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{
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if (fps != 0f)
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{
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delay = (int)Math.Round(100f / fps);
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}
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}
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/**
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* Sets quality of color quantization (conversion of images
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* to the maximum 256 colors allowed by the GIF specification).
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* Lower values (minimum = 1) produce better colors, but slow
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* processing significantly. 10 is the default, and produces
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* good color mapping at reasonable speeds. Values greater
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* than 20 do not yield significant improvements in speed.
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*
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* @param quality int greater than 0.
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* @return
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*/
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public void SetQuality(int quality)
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{
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if (quality < 1) quality = 1;
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sample = quality;
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}
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/**
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* Sets the GIF frame size. The default size is the
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* size of the first frame added if this method is
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* not invoked.
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*
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* @param w int frame width.
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* @param h int frame width.
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*/
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public void SetSize(int w, int h)
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{
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if (started && !firstFrame) return;
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width = w;
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height = h;
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if (width < 1) width = 320;
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if (height < 1) height = 240;
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sizeSet = true;
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}
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/**
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* Initiates GIF file creation on the given stream. The stream
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* is not closed automatically.
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*
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* @param os OutputStream on which GIF images are written.
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* @return false if initial write failed.
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*/
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public bool Start(MemoryStream os)
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{
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if (os == null) return false;
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bool ok = true;
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closeStream = false;
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ms = os;
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try
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{
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WriteString("GIF89a"); // header
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}
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catch (IOException)
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{
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ok = false;
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}
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return started = ok;
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}
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/**
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* Initiates writing of a GIF file to a memory stream.
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*
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* @return false if open or initial write failed.
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*/
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public bool Start()
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{
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bool ok;
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try
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{
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ok = Start(new MemoryStream(10 * 1024));
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closeStream = true;
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}
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catch (IOException)
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{
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ok = false;
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}
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return started = ok;
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}
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/**
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* Initiates writing of a GIF file with the specified name.
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*
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* @return false if open or initial write failed.
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*/
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public bool Output(string file)
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{
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try
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{
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FileStream fs = new FileStream(file, FileMode.OpenOrCreate, FileAccess.Write, FileShare.None);
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fs.Write(ms.ToArray(), 0, (int)ms.Length);
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fs.Close();
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}
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catch (IOException)
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{
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return false;
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}
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return true;
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}
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public MemoryStream Output()
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{
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return ms;
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}
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/**
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* Analyzes image colors and creates color map.
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*/
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protected void AnalyzePixels()
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{
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int len = pixels.Length;
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int nPix = len / 3;
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indexedPixels = new byte[nPix];
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NeuQuant nq = new NeuQuant(pixels, len, sample);
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// initialize quantizer
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colorTab = nq.Process(); // create reduced palette
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// convert map from BGR to RGB
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// for (int i = 0; i < colorTab.Length; i += 3)
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// {
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// byte temp = colorTab[i];
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// colorTab[i] = colorTab[i + 2];
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// colorTab[i + 2] = temp;
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// usedEntry[i / 3] = false;
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// }
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// map image pixels to new palette
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int k = 0;
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for (int i = 0; i < nPix; i++)
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{
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int index =
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nq.Map(pixels[k++] & 0xff,
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pixels[k++] & 0xff,
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pixels[k++] & 0xff);
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usedEntry[index] = true;
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indexedPixels[i] = (byte)index;
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}
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pixels = null;
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colorDepth = 8;
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palSize = 7;
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// get closest match to transparent color if specified
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if (transparent != SKColor.Empty)
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{
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//transIndex = FindClosest(transparent);
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transIndex = nq.Map(transparent.Blue, transparent.Green, transparent.Red);
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}
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}
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/**
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* Returns index of palette color closest to c
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*
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*/
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protected int FindClosest(SKColor c)
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{
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if (colorTab == null) return -1;
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int r = c.Red;
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int g = c.Green;
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int b = c.Blue;
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int minpos = 0;
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int dmin = 256 * 256 * 256;
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int len = colorTab.Length;
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for (int i = 0; i < len;)
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{
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int dr = r - (colorTab[i++] & 0xff);
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int dg = g - (colorTab[i++] & 0xff);
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int db = b - (colorTab[i] & 0xff);
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int d = dr * dr + dg * dg + db * db;
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int index = i / 3;
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if (usedEntry[index] && (d < dmin))
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{
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dmin = d;
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minpos = index;
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}
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i++;
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}
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return minpos;
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}
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/**
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* Extracts image pixels into byte array "pixels"
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*/
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protected void GetImagePixels()
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{
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int w = image.Width;
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int h = image.Height;
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// int type = image.GetType().;
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if ((w != width)
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|| (h != height)
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)
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{
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// create new image with right size/format
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//Image temp =
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// new Bitmap(width, height);
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//Graphics g = Graphics.FromImage(temp);
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//g.DrawImage(image, 0, 0);
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//image = temp;
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//g.Dispose();
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var temp = new SKBitmap(width, height);
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var canvas = new SKCanvas(temp);
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canvas.DrawBitmap(image, 0, 0);
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image = temp;
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canvas.Dispose();
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}
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/*
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ToDo:
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improve performance: use unsafe code
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*/
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pixels = new byte[3 * image.Width * image.Height];
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int count = 0;
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for (int th = 0; th < image.Height; th++)
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{
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for (int tw = 0; tw < image.Width; tw++)
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{
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var color = image.GetPixel(tw, th);
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pixels[count] = color.Red;
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count++;
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pixels[count] = color.Green;
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count++;
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pixels[count] = color.Blue;
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count++;
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}
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}
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// pixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
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}
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/**
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* Writes Graphic Control Extension
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*/
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protected void WriteGraphicCtrlExt()
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{
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ms.WriteByte(0x21); // extension introducer
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ms.WriteByte(0xf9); // GCE label
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ms.WriteByte(4); // data block size
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int transp, disp;
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if (transparent == SKColor.Empty)
|
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{
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transp = 0;
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disp = 0; // dispose = no action
|
||||
}
|
||||
else
|
||||
{
|
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transp = 1;
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disp = 2; // force clear if using transparent color
|
||||
}
|
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if (dispose >= 0)
|
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{
|
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disp = dispose & 7; // user override
|
||||
}
|
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disp <<= 2;
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// packed fields
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ms.WriteByte(Convert.ToByte(0 | // 1:3 reserved
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disp | // 4:6 disposal
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0 | // 7 user input - 0 = none
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transp)); // 8 transparency flag
|
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|
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WriteShort(delay); // delay x 1/100 sec
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ms.WriteByte(Convert.ToByte(transIndex)); // transparent color index
|
||||
ms.WriteByte(0); // block terminator
|
||||
}
|
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|
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/**
|
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* Writes Image Descriptor
|
||||
*/
|
||||
protected void WriteImageDesc()
|
||||
{
|
||||
ms.WriteByte(0x2c); // image separator
|
||||
WriteShort(0); // image position x,y = 0,0
|
||||
WriteShort(0);
|
||||
WriteShort(width); // image size
|
||||
WriteShort(height);
|
||||
// packed fields
|
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if (firstFrame)
|
||||
{
|
||||
// no LCT - GCT is used for first (or only) frame
|
||||
ms.WriteByte(0);
|
||||
}
|
||||
else
|
||||
{
|
||||
// specify normal LCT
|
||||
ms.WriteByte(Convert.ToByte(0x80 | // 1 local color table 1=yes
|
||||
0 | // 2 interlace - 0=no
|
||||
0 | // 3 sorted - 0=no
|
||||
0 | // 4-5 reserved
|
||||
palSize)); // 6-8 size of color table
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Writes Logical Screen Descriptor
|
||||
*/
|
||||
protected void WriteLSD()
|
||||
{
|
||||
// logical screen size
|
||||
WriteShort(width);
|
||||
WriteShort(height);
|
||||
// packed fields
|
||||
ms.WriteByte(Convert.ToByte(0x80 | // 1 : global color table flag = 1 (gct used)
|
||||
0x70 | // 2-4 : color resolution = 7
|
||||
0x00 | // 5 : gct sort flag = 0
|
||||
palSize)); // 6-8 : gct size
|
||||
|
||||
ms.WriteByte(0); // background color index
|
||||
ms.WriteByte(0); // pixel aspect ratio - assume 1:1
|
||||
}
|
||||
|
||||
/**
|
||||
* Writes Netscape application extension to define
|
||||
* repeat count.
|
||||
*/
|
||||
protected void WriteNetscapeExt()
|
||||
{
|
||||
ms.WriteByte(0x21); // extension introducer
|
||||
ms.WriteByte(0xff); // app extension label
|
||||
ms.WriteByte(11); // block size
|
||||
WriteString("NETSCAPE" + "2.0"); // app id + auth code
|
||||
ms.WriteByte(3); // sub-block size
|
||||
ms.WriteByte(1); // loop sub-block id
|
||||
WriteShort(repeat); // loop count (extra iterations, 0=repeat forever)
|
||||
ms.WriteByte(0); // block terminator
|
||||
}
|
||||
|
||||
/**
|
||||
* Writes color table
|
||||
*/
|
||||
protected void WritePalette()
|
||||
{
|
||||
ms.Write(colorTab, 0, colorTab.Length);
|
||||
int n = (3 * 256) - colorTab.Length;
|
||||
for (int i = 0; i < n; i++)
|
||||
{
|
||||
ms.WriteByte(0);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Encodes and writes pixel data
|
||||
*/
|
||||
protected void WritePixels()
|
||||
{
|
||||
LZWEncoder encoder =
|
||||
new LZWEncoder(width, height, indexedPixels, colorDepth);
|
||||
encoder.Encode(ms);
|
||||
}
|
||||
|
||||
/**
|
||||
* Write 16-bit value to output stream, LSB first
|
||||
*/
|
||||
protected void WriteShort(int value)
|
||||
{
|
||||
ms.WriteByte(Convert.ToByte(value & 0xff));
|
||||
ms.WriteByte(Convert.ToByte((value >> 8) & 0xff));
|
||||
}
|
||||
|
||||
/**
|
||||
* Writes string to output stream
|
||||
*/
|
||||
protected void WriteString(string s)
|
||||
{
|
||||
char[] chars = s.ToCharArray();
|
||||
for (int i = 0; i < chars.Length; i++)
|
||||
{
|
||||
ms.WriteByte((byte)chars[i]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
}
|
321
Res/Gif.Components/LZWEncoder.cs
Executable file
@ -0,0 +1,321 @@
|
||||
using System;
|
||||
using System.IO;
|
||||
|
||||
namespace Gif.Components
|
||||
{
|
||||
public class LZWEncoder
|
||||
{
|
||||
|
||||
private static readonly int EOF = -1;
|
||||
|
||||
private int imgW, imgH;
|
||||
private byte[] pixAry;
|
||||
private int initCodeSize;
|
||||
private int remaining;
|
||||
private int curPixel;
|
||||
|
||||
// GIFCOMPR.C - GIF Image compression routines
|
||||
//
|
||||
// Lempel-Ziv compression based on 'compress'. GIF modifications by
|
||||
// David Rowley (mgardi@watdcsu.waterloo.edu)
|
||||
|
||||
// General DEFINEs
|
||||
|
||||
static readonly int BITS = 12;
|
||||
|
||||
static readonly int HSIZE = 5003; // 80% occupancy
|
||||
|
||||
// GIF Image compression - modified 'compress'
|
||||
//
|
||||
// Based on: compress.c - File compression ala IEEE Computer, June 1984.
|
||||
//
|
||||
// By Authors: Spencer W. Thomas (decvax!harpo!utah-cs!utah-gr!thomas)
|
||||
// Jim McKie (decvax!mcvax!jim)
|
||||
// Steve Davies (decvax!vax135!petsd!peora!srd)
|
||||
// Ken Turkowski (decvax!decwrl!turtlevax!ken)
|
||||
// James A. Woods (decvax!ihnp4!ames!jaw)
|
||||
// Joe Orost (decvax!vax135!petsd!joe)
|
||||
|
||||
int n_bits; // number of bits/code
|
||||
int maxbits = BITS; // user settable max # bits/code
|
||||
int maxcode; // maximum code, given n_bits
|
||||
int maxmaxcode = 1 << BITS; // should NEVER generate this code
|
||||
|
||||
int[] htab = new int[HSIZE];
|
||||
int[] codetab = new int[HSIZE];
|
||||
|
||||
int hsize = HSIZE; // for dynamic table sizing
|
||||
|
||||
int free_ent = 0; // first unused entry
|
||||
|
||||
// block compression parameters -- after all codes are used up,
|
||||
// and compression rate changes, start over.
|
||||
bool clear_flg = false;
|
||||
|
||||
// Algorithm: use open addressing double hashing (no chaining) on the
|
||||
// prefix code / next character combination. We do a variant of Knuth's
|
||||
// algorithm D (vol. 3, sec. 6.4) along with G. Knott's relatively-prime
|
||||
// secondary probe. Here, the modular division first probe is gives way
|
||||
// to a faster exclusive-or manipulation. Also do block compression with
|
||||
// an adaptive reset, whereby the code table is cleared when the compression
|
||||
// ratio decreases, but after the table fills. The variable-length output
|
||||
// codes are re-sized at this point, and a special CLEAR code is generated
|
||||
// for the decompressor. Late addition: construct the table according to
|
||||
// file size for noticeable speed improvement on small files. Please direct
|
||||
// questions about this implementation to ames!jaw.
|
||||
|
||||
int g_init_bits;
|
||||
|
||||
int ClearCode;
|
||||
int EOFCode;
|
||||
|
||||
// output
|
||||
//
|
||||
// Output the given code.
|
||||
// Inputs:
|
||||
// code: A n_bits-bit integer. If == -1, then EOF. This assumes
|
||||
// that n_bits =< wordsize - 1.
|
||||
// Outputs:
|
||||
// Outputs code to the file.
|
||||
// Assumptions:
|
||||
// Chars are 8 bits long.
|
||||
// Algorithm:
|
||||
// Maintain a BITS character long buffer (so that 8 codes will
|
||||
// fit in it exactly). Use the VAX insv instruction to insert each
|
||||
// code in turn. When the buffer fills up empty it and start over.
|
||||
|
||||
int cur_accum = 0;
|
||||
int cur_bits = 0;
|
||||
|
||||
int [] masks =
|
||||
{
|
||||
0x0000,
|
||||
0x0001,
|
||||
0x0003,
|
||||
0x0007,
|
||||
0x000F,
|
||||
0x001F,
|
||||
0x003F,
|
||||
0x007F,
|
||||
0x00FF,
|
||||
0x01FF,
|
||||
0x03FF,
|
||||
0x07FF,
|
||||
0x0FFF,
|
||||
0x1FFF,
|
||||
0x3FFF,
|
||||
0x7FFF,
|
||||
0xFFFF };
|
||||
|
||||
// Number of characters so far in this 'packet'
|
||||
int a_count;
|
||||
|
||||
// Define the storage for the packet accumulator
|
||||
byte[] accum = new byte[256];
|
||||
|
||||
//----------------------------------------------------------------------------
|
||||
public LZWEncoder(int width, int height, byte[] pixels, int color_depth)
|
||||
{
|
||||
imgW = width;
|
||||
imgH = height;
|
||||
pixAry = pixels;
|
||||
initCodeSize = Math.Max(2, color_depth);
|
||||
}
|
||||
|
||||
// Add a character to the end of the current packet, and if it is 254
|
||||
// characters, flush the packet to disk.
|
||||
void Add(byte c, Stream outs)
|
||||
{
|
||||
accum[a_count++] = c;
|
||||
if (a_count >= 254)
|
||||
Flush(outs);
|
||||
}
|
||||
|
||||
// Clear out the hash table
|
||||
|
||||
// table clear for block compress
|
||||
void ClearTable(Stream outs)
|
||||
{
|
||||
ResetCodeTable(hsize);
|
||||
free_ent = ClearCode + 2;
|
||||
clear_flg = true;
|
||||
|
||||
Output(ClearCode, outs);
|
||||
}
|
||||
|
||||
// reset code table
|
||||
void ResetCodeTable(int hsize)
|
||||
{
|
||||
for (int i = 0; i < hsize; ++i)
|
||||
htab[i] = -1;
|
||||
}
|
||||
|
||||
void Compress(int init_bits, Stream outs)
|
||||
{
|
||||
int fcode;
|
||||
int i /* = 0 */;
|
||||
int c;
|
||||
int ent;
|
||||
int disp;
|
||||
int hsize_reg;
|
||||
int hshift;
|
||||
|
||||
// Set up the globals: g_init_bits - initial number of bits
|
||||
g_init_bits = init_bits;
|
||||
|
||||
// Set up the necessary values
|
||||
clear_flg = false;
|
||||
n_bits = g_init_bits;
|
||||
maxcode = MaxCode(n_bits);
|
||||
|
||||
ClearCode = 1 << (init_bits - 1);
|
||||
EOFCode = ClearCode + 1;
|
||||
free_ent = ClearCode + 2;
|
||||
|
||||
a_count = 0; // clear packet
|
||||
|
||||
ent = NextPixel();
|
||||
|
||||
hshift = 0;
|
||||
for (fcode = hsize; fcode < 65536; fcode *= 2)
|
||||
++hshift;
|
||||
hshift = 8 - hshift; // set hash code range bound
|
||||
|
||||
hsize_reg = hsize;
|
||||
ResetCodeTable(hsize_reg); // clear hash table
|
||||
|
||||
Output(ClearCode, outs);
|
||||
|
||||
outer_loop : while ((c = NextPixel()) != EOF)
|
||||
{
|
||||
fcode = (c << maxbits) + ent;
|
||||
i = (c << hshift) ^ ent; // xor hashing
|
||||
|
||||
if (htab[i] == fcode)
|
||||
{
|
||||
ent = codetab[i];
|
||||
continue;
|
||||
}
|
||||
else if (htab[i] >= 0) // non-empty slot
|
||||
{
|
||||
disp = hsize_reg - i; // secondary hash (after G. Knott)
|
||||
if (i == 0)
|
||||
disp = 1;
|
||||
do
|
||||
{
|
||||
if ((i -= disp) < 0)
|
||||
i += hsize_reg;
|
||||
|
||||
if (htab[i] == fcode)
|
||||
{
|
||||
ent = codetab[i];
|
||||
goto outer_loop;
|
||||
}
|
||||
} while (htab[i] >= 0);
|
||||
}
|
||||
Output(ent, outs);
|
||||
ent = c;
|
||||
if (free_ent < maxmaxcode)
|
||||
{
|
||||
codetab[i] = free_ent++; // code -> hashtable
|
||||
htab[i] = fcode;
|
||||
}
|
||||
else
|
||||
ClearTable(outs);
|
||||
}
|
||||
// Put out the final code.
|
||||
Output(ent, outs);
|
||||
Output(EOFCode, outs);
|
||||
}
|
||||
|
||||
//----------------------------------------------------------------------------
|
||||
public void Encode( Stream os)
|
||||
{
|
||||
os.WriteByte( Convert.ToByte( initCodeSize) ); // write "initial code size" byte
|
||||
|
||||
remaining = imgW * imgH; // reset navigation variables
|
||||
curPixel = 0;
|
||||
|
||||
Compress(initCodeSize + 1, os); // compress and write the pixel data
|
||||
|
||||
os.WriteByte(0); // write block terminator
|
||||
}
|
||||
|
||||
// Flush the packet to disk, and reset the accumulator
|
||||
void Flush(Stream outs)
|
||||
{
|
||||
if (a_count > 0)
|
||||
{
|
||||
outs.WriteByte( Convert.ToByte( a_count ));
|
||||
outs.Write(accum, 0, a_count);
|
||||
a_count = 0;
|
||||
}
|
||||
}
|
||||
|
||||
int MaxCode(int n_bits)
|
||||
{
|
||||
return (1 << n_bits) - 1;
|
||||
}
|
||||
|
||||
//----------------------------------------------------------------------------
|
||||
// Return the next pixel from the image
|
||||
//----------------------------------------------------------------------------
|
||||
private int NextPixel()
|
||||
{
|
||||
int upperBound = pixAry.GetUpperBound(0);
|
||||
|
||||
return (curPixel <= upperBound) ? (pixAry[curPixel++] & 0xff) : EOF;
|
||||
}
|
||||
|
||||
void Output(int code, Stream outs)
|
||||
{
|
||||
cur_accum &= masks[cur_bits];
|
||||
|
||||
if (cur_bits > 0)
|
||||
cur_accum |= (code << cur_bits);
|
||||
else
|
||||
cur_accum = code;
|
||||
|
||||
cur_bits += n_bits;
|
||||
|
||||
while (cur_bits >= 8)
|
||||
{
|
||||
Add((byte) (cur_accum & 0xff), outs);
|
||||
cur_accum >>= 8;
|
||||
cur_bits -= 8;
|
||||
}
|
||||
|
||||
// If the next entry is going to be too big for the code size,
|
||||
// then increase it, if possible.
|
||||
if (free_ent > maxcode || clear_flg)
|
||||
{
|
||||
if (clear_flg)
|
||||
{
|
||||
maxcode = MaxCode(n_bits = g_init_bits);
|
||||
clear_flg = false;
|
||||
}
|
||||
else
|
||||
{
|
||||
++n_bits;
|
||||
if (n_bits == maxbits)
|
||||
maxcode = maxmaxcode;
|
||||
else
|
||||
maxcode = MaxCode(n_bits);
|
||||
}
|
||||
}
|
||||
|
||||
if (code == EOFCode)
|
||||
{
|
||||
// At EOF, write the rest of the buffer.
|
||||
while (cur_bits > 0)
|
||||
{
|
||||
Add((byte) (cur_accum & 0xff), outs);
|
||||
cur_accum >>= 8;
|
||||
cur_bits -= 8;
|
||||
}
|
||||
|
||||
Flush(outs);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
479
Res/Gif.Components/NeuQuant.cs
Executable file
@ -0,0 +1,479 @@
|
||||
using System;
|
||||
|
||||
namespace Gif.Components
|
||||
{
|
||||
public class NeuQuant
|
||||
{
|
||||
protected static readonly int netsize = 256; /* number of colours used */
|
||||
/* four primes near 500 - assume no image has a length so large */
|
||||
/* that it is divisible by all four primes */
|
||||
protected static readonly int prime1 = 499;
|
||||
protected static readonly int prime2 = 491;
|
||||
protected static readonly int prime3 = 487;
|
||||
protected static readonly int prime4 = 503;
|
||||
protected static readonly int minpicturebytes = ( 3 * prime4 );
|
||||
/* minimum size for input image */
|
||||
/* Program Skeleton
|
||||
----------------
|
||||
[select samplefac in range 1..30]
|
||||
[read image from input file]
|
||||
pic = (unsigned char*) malloc(3*width*height);
|
||||
initnet(pic,3*width*height,samplefac);
|
||||
learn();
|
||||
unbiasnet();
|
||||
[write output image header, using writecolourmap(f)]
|
||||
inxbuild();
|
||||
write output image using inxsearch(b,g,r) */
|
||||
|
||||
/* Network Definitions
|
||||
------------------- */
|
||||
protected static readonly int maxnetpos = (netsize - 1);
|
||||
protected static readonly int netbiasshift = 4; /* bias for colour values */
|
||||
protected static readonly int ncycles = 100; /* no. of learning cycles */
|
||||
|
||||
/* defs for freq and bias */
|
||||
protected static readonly int intbiasshift = 16; /* bias for fractions */
|
||||
protected static readonly int intbias = (((int) 1) << intbiasshift);
|
||||
protected static readonly int gammashift = 10; /* gamma = 1024 */
|
||||
protected static readonly int gamma = (((int) 1) << gammashift);
|
||||
protected static readonly int betashift = 10;
|
||||
protected static readonly int beta = (intbias >> betashift); /* beta = 1/1024 */
|
||||
protected static readonly int betagamma =
|
||||
(intbias << (gammashift - betashift));
|
||||
|
||||
/* defs for decreasing radius factor */
|
||||
protected static readonly int initrad = (netsize >> 3); /* for 256 cols, radius starts */
|
||||
protected static readonly int radiusbiasshift = 6; /* at 32.0 biased by 6 bits */
|
||||
protected static readonly int radiusbias = (((int) 1) << radiusbiasshift);
|
||||
protected static readonly int initradius = (initrad * radiusbias); /* and decreases by a */
|
||||
protected static readonly int radiusdec = 30; /* factor of 1/30 each cycle */
|
||||
|
||||
/* defs for decreasing alpha factor */
|
||||
protected static readonly int alphabiasshift = 10; /* alpha starts at 1.0 */
|
||||
protected static readonly int initalpha = (((int) 1) << alphabiasshift);
|
||||
|
||||
protected int alphadec; /* biased by 10 bits */
|
||||
|
||||
/* radbias and alpharadbias used for radpower calculation */
|
||||
protected static readonly int radbiasshift = 8;
|
||||
protected static readonly int radbias = (((int) 1) << radbiasshift);
|
||||
protected static readonly int alpharadbshift = (alphabiasshift + radbiasshift);
|
||||
protected static readonly int alpharadbias = (((int) 1) << alpharadbshift);
|
||||
|
||||
/* Types and Global Variables
|
||||
-------------------------- */
|
||||
|
||||
protected byte[] thepicture; /* the input image itself */
|
||||
protected int lengthcount; /* lengthcount = H*W*3 */
|
||||
|
||||
protected int samplefac; /* sampling factor 1..30 */
|
||||
|
||||
// typedef int pixel[4]; /* BGRc */
|
||||
protected int[][] network; /* the network itself - [netsize][4] */
|
||||
|
||||
protected int[] netindex = new int[256];
|
||||
/* for network lookup - really 256 */
|
||||
|
||||
protected int[] bias = new int[netsize];
|
||||
/* bias and freq arrays for learning */
|
||||
protected int[] freq = new int[netsize];
|
||||
protected int[] radpower = new int[initrad];
|
||||
/* radpower for precomputation */
|
||||
|
||||
/* Initialise network in range (0,0,0) to (255,255,255) and set parameters
|
||||
----------------------------------------------------------------------- */
|
||||
public NeuQuant(byte[] thepic, int len, int sample)
|
||||
{
|
||||
|
||||
int i;
|
||||
int[] p;
|
||||
|
||||
thepicture = thepic;
|
||||
lengthcount = len;
|
||||
samplefac = sample;
|
||||
|
||||
network = new int[netsize][];
|
||||
for (i = 0; i < netsize; i++)
|
||||
{
|
||||
network[i] = new int[4];
|
||||
p = network[i];
|
||||
p[0] = p[1] = p[2] = (i << (netbiasshift + 8)) / netsize;
|
||||
freq[i] = intbias / netsize; /* 1/netsize */
|
||||
bias[i] = 0;
|
||||
}
|
||||
}
|
||||
|
||||
public byte[] ColorMap()
|
||||
{
|
||||
byte[] map = new byte[3 * netsize];
|
||||
int[] index = new int[netsize];
|
||||
for (int i = 0; i < netsize; i++)
|
||||
index[network[i][3]] = i;
|
||||
int k = 0;
|
||||
for (int i = 0; i < netsize; i++)
|
||||
{
|
||||
int j = index[i];
|
||||
map[k++] = (byte) (network[j][0]);
|
||||
map[k++] = (byte) (network[j][1]);
|
||||
map[k++] = (byte) (network[j][2]);
|
||||
}
|
||||
return map;
|
||||
}
|
||||
|
||||
/* Insertion sort of network and building of netindex[0..255] (to do after unbias)
|
||||
------------------------------------------------------------------------------- */
|
||||
public void Inxbuild()
|
||||
{
|
||||
|
||||
int i, j, smallpos, smallval;
|
||||
int[] p;
|
||||
int[] q;
|
||||
int previouscol, startpos;
|
||||
|
||||
previouscol = 0;
|
||||
startpos = 0;
|
||||
for (i = 0; i < netsize; i++)
|
||||
{
|
||||
p = network[i];
|
||||
smallpos = i;
|
||||
smallval = p[1]; /* index on g */
|
||||
/* find smallest in i..netsize-1 */
|
||||
for (j = i + 1; j < netsize; j++)
|
||||
{
|
||||
q = network[j];
|
||||
if (q[1] < smallval)
|
||||
{ /* index on g */
|
||||
smallpos = j;
|
||||
smallval = q[1]; /* index on g */
|
||||
}
|
||||
}
|
||||
q = network[smallpos];
|
||||
/* swap p (i) and q (smallpos) entries */
|
||||
if (i != smallpos)
|
||||
{
|
||||
j = q[0];
|
||||
q[0] = p[0];
|
||||
p[0] = j;
|
||||
j = q[1];
|
||||
q[1] = p[1];
|
||||
p[1] = j;
|
||||
j = q[2];
|
||||
q[2] = p[2];
|
||||
p[2] = j;
|
||||
j = q[3];
|
||||
q[3] = p[3];
|
||||
p[3] = j;
|
||||
}
|
||||
/* smallval entry is now in position i */
|
||||
if (smallval != previouscol)
|
||||
{
|
||||
netindex[previouscol] = (startpos + i) >> 1;
|
||||
for (j = previouscol + 1; j < smallval; j++)
|
||||
netindex[j] = i;
|
||||
previouscol = smallval;
|
||||
startpos = i;
|
||||
}
|
||||
}
|
||||
netindex[previouscol] = (startpos + maxnetpos) >> 1;
|
||||
for (j = previouscol + 1; j < 256; j++)
|
||||
netindex[j] = maxnetpos; /* really 256 */
|
||||
}
|
||||
|
||||
/* Main Learning Loop
|
||||
------------------ */
|
||||
public void Learn()
|
||||
{
|
||||
|
||||
int i, j, b, g, r;
|
||||
int radius, rad, alpha, step, delta, samplepixels;
|
||||
byte[] p;
|
||||
int pix, lim;
|
||||
|
||||
if (lengthcount < minpicturebytes)
|
||||
samplefac = 1;
|
||||
alphadec = 30 + ((samplefac - 1) / 3);
|
||||
p = thepicture;
|
||||
pix = 0;
|
||||
lim = lengthcount;
|
||||
samplepixels = lengthcount / (3 * samplefac);
|
||||
delta = samplepixels / ncycles;
|
||||
alpha = initalpha;
|
||||
radius = initradius;
|
||||
|
||||
rad = radius >> radiusbiasshift;
|
||||
if (rad <= 1)
|
||||
rad = 0;
|
||||
for (i = 0; i < rad; i++)
|
||||
radpower[i] =
|
||||
alpha * (((rad * rad - i * i) * radbias) / (rad * rad));
|
||||
|
||||
//fprintf(stderr,"beginning 1D learning: initial radius=%d\n", rad);
|
||||
|
||||
if (lengthcount < minpicturebytes)
|
||||
step = 3;
|
||||
else if ((lengthcount % prime1) != 0)
|
||||
step = 3 * prime1;
|
||||
else
|
||||
{
|
||||
if ((lengthcount % prime2) != 0)
|
||||
step = 3 * prime2;
|
||||
else
|
||||
{
|
||||
if ((lengthcount % prime3) != 0)
|
||||
step = 3 * prime3;
|
||||
else
|
||||
step = 3 * prime4;
|
||||
}
|
||||
}
|
||||
|
||||
i = 0;
|
||||
while (i < samplepixels)
|
||||
{
|
||||
b = (p[pix + 0] & 0xff) << netbiasshift;
|
||||
g = (p[pix + 1] & 0xff) << netbiasshift;
|
||||
r = (p[pix + 2] & 0xff) << netbiasshift;
|
||||
j = Contest(b, g, r);
|
||||
|
||||
Altersingle(alpha, j, b, g, r);
|
||||
if (rad != 0)
|
||||
Alterneigh(rad, j, b, g, r); /* alter neighbours */
|
||||
|
||||
pix += step;
|
||||
if (pix >= lim)
|
||||
pix -= lengthcount;
|
||||
|
||||
i++;
|
||||
if (delta == 0)
|
||||
delta = 1;
|
||||
if (i % delta == 0)
|
||||
{
|
||||
alpha -= alpha / alphadec;
|
||||
radius -= radius / radiusdec;
|
||||
rad = radius >> radiusbiasshift;
|
||||
if (rad <= 1)
|
||||
rad = 0;
|
||||
for (j = 0; j < rad; j++)
|
||||
radpower[j] =
|
||||
alpha * (((rad * rad - j * j) * radbias) / (rad * rad));
|
||||
}
|
||||
}
|
||||
//fprintf(stderr,"finished 1D learning: readonly alpha=%f !\n",((float)alpha)/initalpha);
|
||||
}
|
||||
|
||||
/* Search for BGR values 0..255 (after net is unbiased) and return colour index
|
||||
---------------------------------------------------------------------------- */
|
||||
public int Map(int b, int g, int r)
|
||||
{
|
||||
|
||||
int i, j, dist, a, bestd;
|
||||
int[] p;
|
||||
int best;
|
||||
|
||||
bestd = 1000; /* biggest possible dist is 256*3 */
|
||||
best = -1;
|
||||
i = netindex[g]; /* index on g */
|
||||
j = i - 1; /* start at netindex[g] and work outwards */
|
||||
|
||||
while ((i < netsize) || (j >= 0))
|
||||
{
|
||||
if (i < netsize)
|
||||
{
|
||||
p = network[i];
|
||||
dist = p[1] - g; /* inx key */
|
||||
if (dist >= bestd)
|
||||
i = netsize; /* stop iter */
|
||||
else
|
||||
{
|
||||
i++;
|
||||
if (dist < 0)
|
||||
dist = -dist;
|
||||
a = p[0] - b;
|
||||
if (a < 0)
|
||||
a = -a;
|
||||
dist += a;
|
||||
if (dist < bestd)
|
||||
{
|
||||
a = p[2] - r;
|
||||
if (a < 0)
|
||||
a = -a;
|
||||
dist += a;
|
||||
if (dist < bestd)
|
||||
{
|
||||
bestd = dist;
|
||||
best = p[3];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
if (j >= 0)
|
||||
{
|
||||
p = network[j];
|
||||
dist = g - p[1]; /* inx key - reverse dif */
|
||||
if (dist >= bestd)
|
||||
j = -1; /* stop iter */
|
||||
else
|
||||
{
|
||||
j--;
|
||||
if (dist < 0)
|
||||
dist = -dist;
|
||||
a = p[0] - b;
|
||||
if (a < 0)
|
||||
a = -a;
|
||||
dist += a;
|
||||
if (dist < bestd)
|
||||
{
|
||||
a = p[2] - r;
|
||||
if (a < 0)
|
||||
a = -a;
|
||||
dist += a;
|
||||
if (dist < bestd)
|
||||
{
|
||||
bestd = dist;
|
||||
best = p[3];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return (best);
|
||||
}
|
||||
public byte[] Process()
|
||||
{
|
||||
Learn();
|
||||
Unbiasnet();
|
||||
Inxbuild();
|
||||
return ColorMap();
|
||||
}
|
||||
|
||||
/* Unbias network to give byte values 0..255 and record position i to prepare for sort
|
||||
----------------------------------------------------------------------------------- */
|
||||
public void Unbiasnet()
|
||||
{
|
||||
|
||||
int i;
|
||||
|
||||
for (i = 0; i < netsize; i++)
|
||||
{
|
||||
network[i][0] >>= netbiasshift;
|
||||
network[i][1] >>= netbiasshift;
|
||||
network[i][2] >>= netbiasshift;
|
||||
network[i][3] = i; /* record colour no */
|
||||
}
|
||||
}
|
||||
|
||||
/* Move adjacent neurons by precomputed alpha*(1-((i-j)^2/[r]^2)) in radpower[|i-j|]
|
||||
--------------------------------------------------------------------------------- */
|
||||
protected void Alterneigh(int rad, int i, int b, int g, int r)
|
||||
{
|
||||
|
||||
int j, k, lo, hi, a, m;
|
||||
int[] p;
|
||||
|
||||
lo = i - rad;
|
||||
if (lo < -1)
|
||||
lo = -1;
|
||||
hi = i + rad;
|
||||
if (hi > netsize)
|
||||
hi = netsize;
|
||||
|
||||
j = i + 1;
|
||||
k = i - 1;
|
||||
m = 1;
|
||||
while ((j < hi) || (k > lo))
|
||||
{
|
||||
a = radpower[m++];
|
||||
if (j < hi)
|
||||
{
|
||||
p = network[j++];
|
||||
try
|
||||
{
|
||||
p[0] -= (a * (p[0] - b)) / alpharadbias;
|
||||
p[1] -= (a * (p[1] - g)) / alpharadbias;
|
||||
p[2] -= (a * (p[2] - r)) / alpharadbias;
|
||||
}
|
||||
catch (Exception)
|
||||
{
|
||||
} // prevents 1.3 miscompilation
|
||||
}
|
||||
if (k > lo)
|
||||
{
|
||||
p = network[k--];
|
||||
try
|
||||
{
|
||||
p[0] -= (a * (p[0] - b)) / alpharadbias;
|
||||
p[1] -= (a * (p[1] - g)) / alpharadbias;
|
||||
p[2] -= (a * (p[2] - r)) / alpharadbias;
|
||||
}
|
||||
catch (Exception)
|
||||
{
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* Move neuron i towards biased (b,g,r) by factor alpha
|
||||
---------------------------------------------------- */
|
||||
protected void Altersingle(int alpha, int i, int b, int g, int r)
|
||||
{
|
||||
|
||||
/* alter hit neuron */
|
||||
int[] n = network[i];
|
||||
n[0] -= (alpha * (n[0] - b)) / initalpha;
|
||||
n[1] -= (alpha * (n[1] - g)) / initalpha;
|
||||
n[2] -= (alpha * (n[2] - r)) / initalpha;
|
||||
}
|
||||
|
||||
/* Search for biased BGR values
|
||||
---------------------------- */
|
||||
protected int Contest(int b, int g, int r)
|
||||
{
|
||||
|
||||
/* finds closest neuron (min dist) and updates freq */
|
||||
/* finds best neuron (min dist-bias) and returns position */
|
||||
/* for frequently chosen neurons, freq[i] is high and bias[i] is negative */
|
||||
/* bias[i] = gamma*((1/netsize)-freq[i]) */
|
||||
|
||||
int i, dist, a, biasdist, betafreq;
|
||||
int bestpos, bestbiaspos, bestd, bestbiasd;
|
||||
int[] n;
|
||||
|
||||
bestd = ~(((int) 1) << 31);
|
||||
bestbiasd = bestd;
|
||||
bestpos = -1;
|
||||
bestbiaspos = bestpos;
|
||||
|
||||
for (i = 0; i < netsize; i++)
|
||||
{
|
||||
n = network[i];
|
||||
dist = n[0] - b;
|
||||
if (dist < 0)
|
||||
dist = -dist;
|
||||
a = n[1] - g;
|
||||
if (a < 0)
|
||||
a = -a;
|
||||
dist += a;
|
||||
a = n[2] - r;
|
||||
if (a < 0)
|
||||
a = -a;
|
||||
dist += a;
|
||||
if (dist < bestd)
|
||||
{
|
||||
bestd = dist;
|
||||
bestpos = i;
|
||||
}
|
||||
biasdist = dist - ((bias[i]) >> (intbiasshift - netbiasshift));
|
||||
if (biasdist < bestbiasd)
|
||||
{
|
||||
bestbiasd = biasdist;
|
||||
bestbiaspos = i;
|
||||
}
|
||||
betafreq = (freq[i] >> betashift);
|
||||
freq[i] -= betafreq;
|
||||
bias[i] += (betafreq << gammashift);
|
||||
}
|
||||
freq[bestpos] += beta;
|
||||
bias[bestpos] -= betagamma;
|
||||
return (bestbiaspos);
|
||||
}
|
||||
}
|
||||
}
|
0
Res/Icon-512x512.png
Normal file → Executable file
Before Width: | Height: | Size: 6.7 KiB After Width: | Height: | Size: 6.7 KiB |
0
Res/screenshot.png
Normal file → Executable file
Before Width: | Height: | Size: 2.4 MiB After Width: | Height: | Size: 2.4 MiB |
0
Res/screenshot2.png
Normal file → Executable file
Before Width: | Height: | Size: 1.7 MiB After Width: | Height: | Size: 1.7 MiB |
0
Res/screenshot3.png
Normal file → Executable file
Before Width: | Height: | Size: 2.3 MiB After Width: | Height: | Size: 2.3 MiB |
0
Res/screenshot4.png
Normal file → Executable file
Before Width: | Height: | Size: 2.2 MiB After Width: | Height: | Size: 2.2 MiB |
0
Res/screenshot5.png
Normal file → Executable file
Before Width: | Height: | Size: 2.0 MiB After Width: | Height: | Size: 2.0 MiB |
0
Res/screenshot6.png
Normal file → Executable file
Before Width: | Height: | Size: 2.2 MiB After Width: | Height: | Size: 2.2 MiB |
0
Res/screenshot7.png
Normal file → Executable file
Before Width: | Height: | Size: 2.4 MiB After Width: | Height: | Size: 2.4 MiB |
0
Res/screenshot8.png
Normal file → Executable file
Before Width: | Height: | Size: 635 KiB After Width: | Height: | Size: 635 KiB |