/// <summary> /// Getting a grey scale texture for a given quantum circuit (which should represent an image) directly without using python. /// Is faster than python versions but does not support logarithmic encoding yet and may still contain some errors. /// </summary> /// <param name="quantumCircuit">The quantum circuit with the grey scale image representation</param> /// <param name="width">The width of the image</param> /// <param name="height">The height of the image</param> /// <param name="renormalize">If the image (colors) should be renormalized. (Giving it the highest possible saturation / becomes most light) </param> /// <param name="useLog">If logarithmic encoding is chosen DOES NOTHING (at the moment)</param> /// <returns>A texture showing the encoded image.</returns> public static Texture2D GetGreyTextureDirect(QuantumCircuit quantumCircuit, int width, int height, bool renormalize = false, bool useLog = false, SimulatorBase simulator = null) { //TODO Make version with only floats (being faster needing less memory) double[,] imageData = QuantumImageHelper.CircuitToHeight2D(quantumCircuit, width, height, renormalize, simulator); return(QuantumImageHelper.CalculateGreyTexture(imageData)); }
public static Texture2D GetGreyTextureDirect(double[] probabilities, int width, int height, double normalization = 1) { //TODO Make version with only floats (being faster needing less memory) double[,] imageData = QuantumImageHelper.ProbabilitiesToHeight2D(probabilities, width, height, normalization); return(QuantumImageHelper.CalculateGreyTexture(imageData)); }
/// <summary> /// Directly creates a blured image out of the greyscale input texture using the quantum blur algorithm. /// The blur is done via rotating qubits (in radian). Supports logarithmic encoding. /// </summary> /// <param name="inputTexture">The image on which the blur should be applied.</param> /// <param name="rotation">The rotation which should be applied in radian.</param> /// <param name="useLog">If logarithmic encoding (and decoding) should be used</param> /// <param name="useDifferentDecoding">If the decoding used should be not the same as the encoding (for example if you only want to sue logarithmic decoding)</param> /// <param name="doFast">If the (most of the time) faster creation of color image should be used.</param> /// <returns></returns> public Texture2D CreateBlurTextureColor(Texture2D inputTexture, float rotation, bool useLog = false, bool useDifferentDecoding = false, bool doFast = false) { Texture2D OutputTexture; double[,] imageData = QuantumImageHelper.GetRedHeightArray(inputTexture); QuantumCircuit redCircuit = getBlurCircuitFromData(imageData, rotation, useLog); QuantumImageHelper.FillGreenHeighArray(inputTexture, imageData); QuantumCircuit greenCircuit = getBlurCircuitFromData(imageData, rotation, useLog); QuantumImageHelper.FillBlueHeighArray(inputTexture, imageData); QuantumCircuit blueCircuit = getBlurCircuitFromData(imageData, rotation, useLog); if (useDifferentDecoding) { useLog = !useLog; } if (doFast) { OutputTexture = GetColoreTextureFast(redCircuit, greenCircuit, blueCircuit, useLog); } else { OutputTexture = GetColoreTexture(redCircuit, greenCircuit, blueCircuit, useLog); } return(OutputTexture); }
IronPython.Runtime.PythonDictionary getTeleportDictionaryFromData(out string heightDimensions, double[,] imageData, double[,] imageData2, double mixture, double normalization = 0, bool useLog = false) { dynamic teleportationHelper = pythonFile.TeleportationHelper("TeleportationHelper"); bool normalizeManually = normalization > 0; teleportationHelper.SetHeights(imageData, imageData2, imageData.GetLength(0), imageData.GetLength(1)); teleportationHelper.ApplySwap(mixture, useLog, normalizeManually); dynamic circuit = teleportationHelper.GetCircuit(); int numberofQubits = circuit.num_qubits; heightDimensions = circuit.name; QuantumCircuit quantumCircuit = QuantumImageHelper.ParseCircuit(circuit.data, numberofQubits); MicroQiskitSimulator simulator = new MicroQiskitSimulator(); quantumCircuit.Normalize(); double[] doubleArray = new double[0]; string[] stringArray = new string[0]; double[] probs = simulator.GetProbabilities(quantumCircuit); QuantumImageHelper.GetProbabilityArrays(probs, numberofQubits, ref doubleArray, ref stringArray); IronPython.Runtime.PythonDictionary dictionary = pythonFile.CombinedHeightFromProbabilities(stringArray, doubleArray, doubleArray.Length, numberofQubits, heightDimensions, useLog, normalization); return(dictionary); }
/// <summary> /// Constructs a quantum circuit representing an image for a specific color channel. /// </summary> /// <param name="inputTexture">The texture from which a circuit is constructed</param> /// <param name="useLog">If logarithmic encoding should be used for the picture</param> /// <param name="colorChannel">The color channel (of the texture) which will be used to generate the image</param> /// <returns></returns> public QuantumCircuit GetCircuit(Texture2D inputTexture, bool useLog = false, ColorChannel colorChannel = ColorChannel.R) { //TODO optimize to get 3 channels directly double[,] imageData; switch (colorChannel) { case ColorChannel.R: imageData = QuantumImageHelper.GetRedHeightArray(inputTexture); break; case ColorChannel.G: imageData = QuantumImageHelper.GetGreenHeightArray(inputTexture); break; case ColorChannel.B: imageData = QuantumImageHelper.GetBlueHeightArray(inputTexture); break; case ColorChannel.A: imageData = QuantumImageHelper.GetAlphaHeightArray(inputTexture); break; default: imageData = QuantumImageHelper.GetGreyHeighArray(inputTexture); break; } return(GetCircuit(imageData, useLog)); }
//This region contains effecs, which do not need python, so no initialization needed and just static functions. #region Direct Effects (without Python) /// <summary> /// Getting a quantum circuit representation of a color channel directly without using python. /// Is faster than python versions but does not support logarithmic encoding yet and may still contain some errors. /// </summary> /// <param name="inputTexture">The image which should be converted to a circuit</param> /// <param name="colorChannel">Which color channel is converted</param> /// <param name="useLog">If logarithmic encoding is chosen DOES NOTHING (at the moment)</param> /// <returns></returns> public static QuantumCircuit GetCircuitDirect(Texture2D inputTexture, ColorChannel colorChannel = ColorChannel.R, bool useLog = false) { //TODO logarithmic encoding //TODO no need to go over double array unneeded copying double[,] imageData = QuantumImageHelper.GetHeightArrayDouble(inputTexture, colorChannel); return(GetCircuitDirect(imageData, useLog)); }
/// <summary> /// OLD VERSION use the faster version instead. /// Getting a colored texture for given quantum circuits (each one representing 1 color channel of an image) directly without using python. /// Is faster than python versions but does not support logarithmic encoding yet and may still contain some errors. /// </summary> /// <param name="redCircuit">The quantum circuit which represents the red channel of the image.</param> /// <param name="greenCircuit">The quantum circuit which represents the green channel of the image.</param> /// <param name="blueCircuit">The quantum circuit which represents the blue channel of the image.</param> /// <param name="width">The width of the image</param> /// <param name="height">The height of the image</param> /// <param name="renormalize">If the image (colors) should be renormalized. (Giving it the highest possible saturation / becomes most light) </param> /// <param name="useLog">If logarithmic encoding is chosen DOES NOTHING (at the moment)</param> /// <returns>A texture showing the encoded image.</returns> public static Texture2D GetColoreTextureDirect(QuantumCircuit redCircuit, QuantumCircuit greenCircuit, QuantumCircuit blueCircuit, int width, int height, bool renormalize = false, bool useLog = false) { double[,] redData = QuantumImageHelper.CircuitToHeight2D(redCircuit, width, height, renormalize); double[,] greenData = QuantumImageHelper.CircuitToHeight2D(greenCircuit, width, height, renormalize); double[,] blueData = QuantumImageHelper.CircuitToHeight2D(blueCircuit, width, height, renormalize); return(QuantumImageHelper.CalculateColorTexture(redData, greenData, blueData)); }
/// <summary> /// Constructs a quantum circuit from a double array (most likely representing (a colorchannel of) an image). /// </summary> /// <param name="imageData">The data which should be represented as a quantum circuit</param> /// <param name="useLog">If logarithmic encoding should be used for the data</param> /// <returns></returns> public QuantumCircuit GetCircuit(double[,] imageData, bool useLog = false) { //dynamic pythonHelper = PythonFile.QuantumBlurHelper("Helper"); blurHelper.SetHeights(imageData, imageData.GetLength(0), imageData.GetLength(1), useLog); dynamic circuit = blurHelper.GetCircuit(); int numberofQubits = circuit.num_qubits; return(QuantumImageHelper.ParseCircuit(circuit.data, numberofQubits, circuit.name)); }
QuantumCircuit getBlurCircuitFromData(double[,] imageData, float rotation, bool useLog = false) { blurHelper.SetHeights(imageData, imageData.GetLength(0), imageData.GetLength(1), useLog); //Applying rotation blurHelper.ApplyPartialX(rotation); dynamic circuit = blurHelper.GetCircuit(); QuantumCircuit quantumCircuit = QuantumImageHelper.ParseCircuit(circuit.data, circuit.num_qubits, circuit.name); return(quantumCircuit); }
/// <summary> /// Constructing a greyscale image from a single quantumCircuit (which should represent a greyscale image). /// Used after image effect are applied to the image (the circuit) to get the modified picture. /// </summary> /// <param name="quantumCircuit">The circuit representing the (modified) image.</param> /// <param name="useLog">If logarithmic decoding should be used to decode the image.</param> /// <returns></returns> public Texture2D GetGreyTexture(QuantumCircuit quantumCircuit, bool useLog = false) { MicroQiskitSimulator simulator = new MicroQiskitSimulator(); double[] doubleArray = new double[0]; string[] stringArray = new string[0]; QuantumImageHelper.GetProbabilityArrays(simulator.GetProbabilities(quantumCircuit), quantumCircuit.NumberOfQubits, ref doubleArray, ref stringArray); IronPython.Runtime.PythonDictionary dictionary = pythonFile.HeightFromProbabilities(stringArray, doubleArray, doubleArray.Length, quantumCircuit.DimensionString, useLog); return(QuantumImageHelper.CalculateGreyTexture(dictionary, quantumCircuit.DimensionString)); }
/// <summary> /// Using the quantum teleportation algorithm to mix 2 images. /// Kind of using teleportation to swap placed between the 2 images. /// Teleportation progress of 0 means no teleportation, Teleportation progress of 1 means the teleportation finished. /// And Teleportation progress of 0.5 means it is right in the middle. /// </summary> /// <param name="inputTexture">The first image which should be mixed.</param> /// <param name="inputTexture2">The second image which should be mixed.</param> /// <param name="teleportationProgress">How far the teleportation has progressed. 0 Not at all, 0.5 in the middle, 1 finished. Can take on any value between 0 and 1</param> /// <returns></returns> public Texture2D TeleportTexturesGrey(Texture2D inputTexture, Texture2D inputTexture2, double teleportationProgress) { string heightDimensions; Texture2D OutputTexture = new Texture2D(2, 2); double[,] imageData = QuantumImageHelper.GetGreyHeighArray(inputTexture); double[,] imageData2 = QuantumImageHelper.GetGreyHeighArray(inputTexture2); IronPython.Runtime.PythonDictionary greyDictionary = getTeleportDictionaryFromData(out heightDimensions, imageData, imageData2, teleportationProgress); OutputTexture = QuantumImageHelper.CalculateGreyTexture(greyDictionary, heightDimensions); return(OutputTexture); }
/// <summary> /// Directly creates a blured image out of the greyscale input texture using the quantum blur algorithm. /// The blur is done via rotating qubits (in radian). Supports logarithmic encoding. /// </summary> /// <param name="inputTexture">The image on which the blur should be applied.</param> /// <param name="rotation">The rotation which should be applied in radian.</param> /// <param name="useLog">If logarithmic encoding (and decoding) should be used</param> /// <param name="useDifferentDecoding">If the decoding used should be not the same as the encoding (for example if you only want to sue logarithmic decoding)</param> /// <returns></returns> public Texture2D CreateBlurTextureGrey(Texture2D inputTexture, float rotation, bool useLog = false, bool useDifferentDecoding = false) { Texture2D OutputTexture; double[,] imageData = QuantumImageHelper.GetGreyHeighArray(inputTexture); QuantumCircuit quantumCircuit = getBlurCircuitFromData(imageData, rotation, useLog); if (useDifferentDecoding) { useLog = !useLog; } OutputTexture = GetGreyTexture(quantumCircuit, useLog); return(OutputTexture); }
/// <summary> /// Constructing a colored image from 3 quantumCircuits, 1 per channel, (which should represent a colored image). /// Used after image effect are applied to the image (the circuit) to get the modified picture /// </summary> /// <param name="redCircuit">The circuit representing the red color channel of the (modified) image.</param> /// <param name="greenCircuit">The circuit representing the green color channel of the (modified) image</param> /// <param name="blueCircuit">The circuit representing the blue color channel of the (modified) image</param> /// <param name="useLog">If logarithmic decoding should be used to decode the image.</param> /// <returns></returns> public Texture2D GetColoreTexture(QuantumCircuit redCircuit, QuantumCircuit greenCircuit, QuantumCircuit blueCircuit, bool useLog = false) { MicroQiskitSimulator simulator = new MicroQiskitSimulator(); //TODO OPTIMIZATIOn initialize arrays only once double[] doubleArray = new double[0]; string[] stringArray = new string[0]; QuantumImageHelper.GetProbabilityArrays(simulator.GetProbabilities(redCircuit), redCircuit.NumberOfQubits, ref doubleArray, ref stringArray); IronPython.Runtime.PythonDictionary redDictionary = pythonFile.HeightFromProbabilities(stringArray, doubleArray, doubleArray.Length, redCircuit.DimensionString, useLog); QuantumImageHelper.GetProbabilityArrays(simulator.GetProbabilities(greenCircuit), greenCircuit.NumberOfQubits, ref doubleArray, ref stringArray); IronPython.Runtime.PythonDictionary greenDictionary = pythonFile.HeightFromProbabilities(stringArray, doubleArray, doubleArray.Length, greenCircuit.DimensionString, useLog); QuantumImageHelper.GetProbabilityArrays(simulator.GetProbabilities(blueCircuit), blueCircuit.NumberOfQubits, ref doubleArray, ref stringArray); IronPython.Runtime.PythonDictionary blueDictionary = pythonFile.HeightFromProbabilities(stringArray, doubleArray, doubleArray.Length, blueCircuit.DimensionString, useLog); return(QuantumImageHelper.CalculateColorTexture(redDictionary, greenDictionary, blueDictionary, redCircuit.DimensionString)); }
IronPython.Runtime.PythonDictionary getBlurDictionaryFromData(out string heightDimensions, double[,] imageData, float rotation, bool useLog = false) { //dynamic pythonHelper = PythonFile.QuantumBlurHelper("Helper"); blurHelper.SetHeights(imageData, imageData.GetLength(0), imageData.GetLength(1), useLog); blurHelper.ApplyPartialX(rotation); dynamic circuit = blurHelper.GetCircuit(); int numberofQubits = circuit.num_qubits; heightDimensions = circuit.name; QuantumCircuit quantumCircuit = QuantumImageHelper.ParseCircuit(circuit.data, numberofQubits); MicroQiskitSimulator simulator = new MicroQiskitSimulator(); double[] doubleArray = new double[0]; string[] stringArray = new string[0]; QuantumImageHelper.GetProbabilityArrays(simulator.GetProbabilities(quantumCircuit), numberofQubits, ref doubleArray, ref stringArray); IronPython.Runtime.PythonDictionary dictionary = pythonFile.HeightFromProbabilities(stringArray, doubleArray, doubleArray.Length, heightDimensions, useLog); return(dictionary); }
/// <summary> /// A slightly faster version to construct a colored image from 3 quantumCircuits, 1 per channel, (which should represent a colored image). /// Used after image effect are applied to the image (the circuit) to get the modified picture /// This version should produce less garbage, however, it only makes a small difference, since the python part is the same (and the slow part) /// </summary> /// <param name="redCircuit">The circuit representing the red color channel of the (modified) image.</param> /// <param name="greenCircuit">The circuit representing the green color channel of the (modified) image</param> /// <param name="blueCircuit">The circuit representing the blue color channel of the (modified) image</param> /// <param name="useLog">If logarithmic decoding should be used to decode the image.</param> /// <returns></returns> public Texture2D GetColoreTextureFast(QuantumCircuit redCircuit, QuantumCircuit greenCircuit, QuantumCircuit blueCircuit, bool useLog = false) { MicroQiskitSimulator simulator = new MicroQiskitSimulator(); //Trying optimazations (less garbage). Negative side is we need the full arrays // TODO make circuit initialization better double[] probabilities = new double[MathHelper.IntegerPower(2, redCircuit.NumberOfQubits)]; ComplexNumber[] amplitudes = null; string[] stringArray = QuantumImageHelper.CalculateNameStrings(probabilities.Length, redCircuit.NumberOfQubits); simulator.CalculateProbabilities(redCircuit, ref probabilities, ref amplitudes); IronPython.Runtime.PythonDictionary redDictionary = pythonFile.HeightFromProbabilities(stringArray, probabilities, probabilities.Length, redCircuit.DimensionString, useLog); simulator.CalculateProbabilities(greenCircuit, ref probabilities, ref amplitudes); IronPython.Runtime.PythonDictionary greenDictionary = pythonFile.HeightFromProbabilities(stringArray, probabilities, probabilities.Length, greenCircuit.DimensionString, useLog); simulator.CalculateProbabilities(blueCircuit, ref probabilities, ref amplitudes); IronPython.Runtime.PythonDictionary blueDictionary = pythonFile.HeightFromProbabilities(stringArray, probabilities, probabilities.Length, blueCircuit.DimensionString, useLog); return(QuantumImageHelper.CalculateColorTexture(redDictionary, greenDictionary, blueDictionary, redCircuit.DimensionString)); }
/// <summary> /// Getting a colored texture for given quantum circuits (each one representing 1 color channel of an image) directly without using python. /// Fast version is a lot faster than python versions but does not support logarithmic encoding yet and may still contain some errors. /// </summary> /// <param name="redCircuit">The quantum circuit which represents the red channel of the image.</param> /// <param name="greenCircuit">The quantum circuit which represents the green channel of the image.</param> /// <param name="blueCircuit">The quantum circuit which represents the blue channel of the image.</param> /// <param name="width">The width of the image</param> /// <param name="height">The height of the image</param> /// <param name="renormalize">If the image (colors) should be renormalized. (Giving it the highest possible saturation / becomes most light) </param> /// <param name="useLog">If logarithmic encoding is chosen DOES NOTHING (at the moment)</param> /// <returns>A texture showing the encoded image.</returns> public static Texture2D GetColoreTextureDirectFast(QuantumCircuitFloat redCircuit, QuantumCircuitFloat greenCircuit, QuantumCircuitFloat blueCircuit, int width, int height, bool renormalize = false, bool useLog = false) { return(QuantumImageHelper.CalculateColorTexture(redCircuit, greenCircuit, blueCircuit, width, height, renormalize)); }
/// <summary> /// Getting a quantum circuit representation of each color channel of an image directly without using python. /// Is faster than python versions but does not support logarithmic encoding yet and may still contain some errors. /// </summary> /// <param name="inputTexture">The image which should be converted into quantum circuits representing the channels</param> /// <param name="redChannel">Returns the quantum circuit for the red channel of the image.</param> /// <param name="greenChannel">Returns the quantum circuit for the green channel of the image.</param> /// <param name="blueChannel">Returns the quantum circuit for the blue channel of the image.</param> /// <param name="useLog">If logarithmic encoding is chosen DOES NOTHING (at the moment)</param> public static void GetCircuitDirectPerChannel(Texture2D inputTexture, out QuantumCircuitFloat redChannel, out QuantumCircuitFloat greenChannel, out QuantumCircuitFloat blueChannel, bool useLog = false) { QuantumImageHelper.TextureToColorCircuit(inputTexture, out redChannel, out greenChannel, out blueChannel, useLog); }
/// <summary> /// Getting a quantum circuit representation of a 2d array of data. (Most likely an image but can be other things). Not using python /// Is faster than python versions but does not support logarithmic encoding yet and may still contain some errors. /// </summary> /// <param name="imageData">The data (of the image) as a 2d double array. For image data floats is more than sufficient!</param> /// <param name="useLog">If logarithmic encoding is chosen DOES NOTHING (at the moment)</param> /// <returns></returns> public static QuantumCircuitFloat GetCircuitDirect(float[,] imageData, bool useLog = false) { return(QuantumImageHelper.HeightToCircuit(imageData)); }
/// <summary> /// Same as TeleportTexturesGreyPartByPart but mixing 2 colored images instead. Using the same optimization /// It splits the image into smaller images, which can be progressed way faster and then puts them back together. /// Can sometimes have some slight errors in images with big blocks of black pixels. /// Else it uses the same method of using teleportation to swap placed between the 2 images. /// Teleportation progress of 0 means no teleportation, Teleportation progress of 1 means the teleportation finished. /// And Teleportation progress of 0.5 means it is right in the middle. /// </summary> /// <param name="inputTexture">The first image which should be mixed.</param> /// <param name="inputTexture2">The second image which should be mixed.</param> /// <param name="teleportationProgress">How far the teleportation has progressed. 0 Not at all, 0.5 in the middle, 1 finished. Can take on any value between 0 and 1</param> /// <returns></returns> public Texture2D TeleportTexturesColoredPartByPart(Texture2D inputTexture, Texture2D inputTexture2, double mixture) { int dimX = 8; int dimY = 8; int width = inputTexture.width; int height = inputTexture.height; if (inputTexture2.width < inputTexture.width || inputTexture2.height < inputTexture.height) { if (inputTexture2.width > inputTexture.width || inputTexture2.height > inputTexture.height) { Debug.LogError("Can't find matching dimension."); return(new Texture2D(width, height)); } else { Debug.LogWarning("Inputtexture 1 is too big only part of it will be used"); width = inputTexture2.width; height = inputTexture2.height; } } else if (inputTexture2.width > inputTexture.width || inputTexture2.height > inputTexture.height) { Debug.LogWarning("Inputtexture 2 is too big only part of it will be used"); } if (width % 8 != 0) { Debug.LogWarning("Width not divisble by 8 sleighly cutting width (by " + width % 8 + ")."); width = width - (width % 8); } if (height % 8 != 0) { Debug.LogWarning("Height not divisble by 8 sleighly cutting width (by " + height % 8 + ")."); height = height - (height % 8); } int totalX = width / dimX; int totalY = height / dimY; int startX = 0; int startY = 0; double[,] redImageData = new double[dimX, dimY]; double[,] redImageData2 = new double[dimX, dimY]; double[,] greenImageData = new double[dimX, dimY]; double[,] greenImageData2 = new double[dimX, dimY]; double[,] blueImageData = new double[dimX, dimY]; double[,] blueImageData2 = new double[dimX, dimY]; Texture2D OutputTexture = new Texture2D(width, height); string heightDimensions; IronPython.Runtime.PythonDictionary redDictionary, greenDictionary, blueDictionary; for (int i = 0; i < totalX; i++) { for (int j = 0; j < totalY; j++) { double max1 = QuantumImageHelper.FillPartialHeightArray(inputTexture, redImageData, ColorChannel.R, startX, startY, dimX, dimY); double max2 = QuantumImageHelper.FillPartialHeightArray(inputTexture2, redImageData2, ColorChannel.R, startX, startY, dimX, dimY); redDictionary = getTeleportDictionaryFromData(out heightDimensions, redImageData, redImageData2, mixture, (1 - mixture) * max1 + mixture * max2); max1 = QuantumImageHelper.FillPartialHeightArray(inputTexture, greenImageData, ColorChannel.G, startX, startY, dimX, dimY); max2 = QuantumImageHelper.FillPartialHeightArray(inputTexture2, greenImageData2, ColorChannel.G, startX, startY, dimX, dimY); greenDictionary = getTeleportDictionaryFromData(out heightDimensions, greenImageData, greenImageData2, mixture, (1 - mixture) * max1 + mixture * max2); max1 = QuantumImageHelper.FillPartialHeightArray(inputTexture, blueImageData, ColorChannel.B, startX, startY, dimX, dimY); max2 = QuantumImageHelper.FillPartialHeightArray(inputTexture2, blueImageData2, ColorChannel.B, startX, startY, dimX, dimY); blueDictionary = getTeleportDictionaryFromData(out heightDimensions, blueImageData, blueImageData2, mixture, (1 - mixture) * max1 + mixture * max2); QuantumImageHelper.FillTextureColored(redDictionary, greenDictionary, blueDictionary, OutputTexture, startX, startY); startY += dimY; startY = startY % width; } startX += dimX; } OutputTexture.Apply(); return(OutputTexture); }