From 022e70e54377b8feb52d105de34c5499b27e00a6 Mon Sep 17 00:00:00 2001 From: MgAl2O4 <51430403+MgAl2O4@users.noreply.github.com> Date: Fri, 29 Jan 2021 09:29:34 -0500 Subject: [PATCH] added ML classifier for purify:pve header --- ML/sinocolo-purifyPvE.py | 4 + SINoCOLO/Properties/AssemblyInfo.cs | 4 +- SINoVision/MLClassifierPurifyHeader.cs | 532 +++++++++++++++++++++++++ SINoVision/ScannerPurify.cs | 65 ++- Util-ImageDebug/MLDataExporter.cs | 64 +++ 5 files changed, 664 insertions(+), 5 deletions(-) create mode 100644 ML/sinocolo-purifyPvE.py create mode 100644 SINoVision/MLClassifierPurifyHeader.cs diff --git a/ML/sinocolo-purifyPvE.py b/ML/sinocolo-purifyPvE.py new file mode 100644 index 0000000..d291536 --- /dev/null +++ b/ML/sinocolo-purifyPvE.py @@ -0,0 +1,4 @@ +from nn import NNTraining + +training = NNTraining(inputFile='sino-ml-purifyPvE.json', outputFile='sino-ml-purifyPvE.txt') +training.run(numFeatures=20*8, numClasses=4, numHidden1=64, numSteps=10000) diff --git a/SINoCOLO/Properties/AssemblyInfo.cs b/SINoCOLO/Properties/AssemblyInfo.cs index 961d103..f0efe6d 100644 --- a/SINoCOLO/Properties/AssemblyInfo.cs +++ b/SINoCOLO/Properties/AssemblyInfo.cs @@ -32,5 +32,5 @@ // You can specify all the values or you can default the Build and Revision Numbers // by using the '*' as shown below: // [assembly: AssemblyVersion("1.0.*")] -[assembly: AssemblyVersion("18.0.0.0")] -[assembly: AssemblyFileVersion("18.0.0.0")] +[assembly: AssemblyVersion("19.0.0.0")] +[assembly: AssemblyFileVersion("19.0.0.0")] diff --git a/SINoVision/MLClassifierPurifyHeader.cs b/SINoVision/MLClassifierPurifyHeader.cs new file mode 100644 index 0000000..8fabe22 --- /dev/null +++ b/SINoVision/MLClassifierPurifyHeader.cs @@ -0,0 +1,532 @@ +namespace SINoVision +{ + public class MLClassifierPurifyHeader + { + private int NumHidden = 64; + private int NumOutputs = 4; + + private float[] WeightH1 = null; + private float[] BiasH1 = null; + private float[] WeightOut = null; + private float[] BiasOut = null; + + public int Calculate(float[] input, out float BestPct) + { + float[] layer1 = new float[NumHidden]; + MLUtils.CalcNetworkLayer(input, layer1, WeightH1, BiasH1); + MLUtils.ApplySigmoid(layer1); + + float[] output = new float[NumOutputs]; + MLUtils.CalcNetworkLayer(layer1, output, WeightOut, BiasOut); + MLUtils.ApplySoftmax(output); + + return MLUtils.PickHighestProbability(output, out BestPct); + } + + public void InitializeModel() + { + WeightH1 = new float[]{-0.056141f, 0.055135f, 0.033925f, 0.008788f, -0.057813f, -0.024301f, 0.024342f, -0.082903f, 0.031559f, 0.111914f, -0.003540f, -0.051485f, 0.096542f, 0.070461f, 0.027712f, 0.149049f, 0.015416f, 0.046208f, -0.033130f, -0.114156f, +-0.078219f, -0.133096f, 0.030060f, 0.060022f, -0.130748f, 0.056460f, -0.027570f, 0.114422f, 0.024840f, -0.090263f, 0.077950f, -0.022452f, -0.037776f, -0.067944f, -0.012537f, 0.028147f, -0.031240f, -0.042389f, 0.030673f, -0.059074f, -0.040627f, +0.073446f, 0.099165f, -0.083238f, 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-0.144102f, 0.371166f, 0.844278f, -0.986768f, -0.447279f, -0.576440f, 0.129720f, 1.002407f, 0.805338f, -0.453671f, -0.838233f, +0.676980f, -0.886927f, -0.441811f, 0.796019f, 0.555631f}; + BiasH1 = new float[]{-0.067504f, -0.014675f, -0.277339f, 0.131769f, 0.172988f, 0.080751f, 0.227444f, 0.165090f, -0.041529f, -0.032800f, 0.169845f, -0.083892f, 0.164091f, 0.111135f, 0.214152f, -0.135260f, 0.051679f, -0.053053f, 0.043627f, 0.235839f, +0.134314f, 0.166828f, -0.077726f, 0.197128f, 0.104971f, 0.222046f, -0.091189f, 0.106940f, 0.310903f, 0.208279f, -0.087655f, 0.147913f, -0.307787f, 0.241685f, 0.275734f, 0.025471f, -0.181001f, 0.006505f, -0.107397f, 0.157440f, 0.035068f, 0.243503f, +-0.043790f, 0.141297f, 0.048665f, -0.020914f, -0.102742f, 0.022574f, 0.180441f, 0.015385f, 0.141322f, 0.241652f, 0.170686f, 0.041939f, 0.174664f, -0.189437f, -0.297642f, 0.177206f, -0.024978f, 0.085922f, -0.087733f, -0.121388f, 0.263981f, +-0.243050f}; + BiasOut = new float[] { 0.079163f, 0.043253f, -0.093527f, -0.028890f }; + + NumOutputs = BiasOut.Length; + NumHidden = BiasH1.Length; + } + } +} diff --git a/SINoVision/ScannerPurify.cs b/SINoVision/ScannerPurify.cs index 2ef20c5..e95403f 100644 --- a/SINoVision/ScannerPurify.cs +++ b/SINoVision/ScannerPurify.cs @@ -32,12 +32,14 @@ public override string ToString() private Point[] posTimeI = { new Point(154, 19), new Point(154, 22), new Point(161, 19), new Point(161, 22) }; private Point[] posTimeO = { new Point(156, 18), new Point(156, 23), new Point(163, 18), new Point(163, 23) }; private Point[] posPauseI = { new Point(303, 24), new Point(308, 24) }; + private Point[] posHeaderPattern = { new Point(217, 17), new Point(149, 18), new Point(7, 17) }; private Point[] posActionSlots = { new Point(184, 203), new Point(242, 276), new Point(255, 360), new Point(224, 455), new Point(146, 445), new Point(64, 395), new Point(47, 298), new Point(97, 219), }; + private MLClassifierPurifyHeader classifierHeader = new MLClassifierPurifyHeader(); private string[] scannerStates = new string[] { "Idle", "NoTimer", "Ok" }; public ScannerPurify() @@ -50,6 +52,8 @@ public ScannerPurify() { rectActions[idx] = new Rectangle(posActionSlots[idx].X, posActionSlots[idx].Y, 32, 32); } + + classifierHeader.InitializeModel(); } public override string GetState() @@ -60,12 +64,17 @@ public override string GetState() public override object Process(FastBitmapHSV bitmap) { scannerState = 1; - var hasTimer = HasTimerMarkers(bitmap); - if (hasTimer) + bool isValid = HasTimerMarkers(bitmap); + if (!isValid) + { + isValid = HasPurifyHeader(bitmap); + } + + if (isValid) { scannerState = 2; var outputOb = new ScreenData(); - + ScanPauseButton(bitmap, outputOb); ScanBurst(bitmap, outputOb); @@ -181,5 +190,55 @@ protected void ScanBurst(FastBitmapHSV bitmap, ScreenData screenData) Console.WriteLine(">> centerFillPct: {0}", centerFillPct); } } + + public float[] ExtractHeaderPatternData(FastBitmapHSV bitmap, int patternIdx) + { + // scan area: 20x8 + float[] values = new float[20 * 8]; + for (int idx = 0; idx < values.Length; idx++) + { + values[idx] = 0.0f; + } + + const int monoSteps = 16; + const float monoScale = 1.0f / monoSteps; + + for (int idxY = 0; idxY < 8; idxY++) + { + for (int idxX = 0; idxX < 20; idxX++) + { + FastPixelHSV pixel = bitmap.GetPixel(posHeaderPattern[patternIdx].X + idxX, posHeaderPattern[patternIdx].Y + idxY); + int monoV = pixel.GetMonochrome() / (256 / monoSteps); + + values[idxX + (idxY * 20)] = monoV * monoScale; + } + } + + return values; + } + + protected bool HasPurifyHeader(FastBitmapHSV bitmap) + { + // failsafe, classifier based + + int thrMatching = posHeaderPattern.Length - 1; + int numMatching = 0; + + for (int idx = 0; idx < posHeaderPattern.Length; idx++) + { + float[] values = ExtractHeaderPatternData(bitmap, idx); + int headerClass = classifierHeader.Calculate(values, out float dummyPct); + bool matching = headerClass == (idx + 1); + numMatching += matching ? 1 : 0; + } + + if (DebugLevel >= EDebugLevel.Verbose) + { + Console.WriteLine("{0} HasPurifyHeader: numMatching:{1}, threshold:{2} => {3}", + ScannerName, numMatching, thrMatching, numMatching >= thrMatching); + } + + return numMatching >= thrMatching; + } } } diff --git a/Util-ImageDebug/MLDataExporter.cs b/Util-ImageDebug/MLDataExporter.cs index ad21f04..287fa5e 100644 --- a/Util-ImageDebug/MLDataExporter.cs +++ b/Util-ImageDebug/MLDataExporter.cs @@ -145,6 +145,7 @@ public void DoTheThing() //ExportPurify(); //ExportButtons(); //ExportStats(); + //ExportPurifyPvE(); if (numSavedFiles > 0) { @@ -729,5 +730,68 @@ int exportHelper(int[,] statList, string logType) Console.WriteLine(" {0}: {1} {2}", kvp.Key, kvp.Value, kvp.Value == 0 ? " << MISSING!" : ""); } } + + private void ExportPurifyPvE() + { + var fileMap = new Dictionary(); + fileMap.Add("real-source1.jpg", false); + fileMap.Add("real-source2.jpg", false); + fileMap.Add("real-source3.jpg", false); + fileMap.Add("real-source4.jpg", false); + fileMap.Add("real-source5.jpg", false); + fileMap.Add("real-source25.jpg", false); + fileMap.Add("real-source31.jpg", false); + fileMap.Add("real-source32.jpg", false); + fileMap.Add("real-source33.jpg", false); + fileMap.Add("real-source34.jpg", false); + + fileMap.Add("image-diff1.jpg", true); + fileMap.Add("real-source21.jpg", true); + fileMap.Add("real-source22.jpg", true); + fileMap.Add("real-source23.jpg", true); + fileMap.Add("real-source102.jpg", true); + fileMap.Add("real-source103.jpg", true); + fileMap.Add("real-source104.jpg", true); + fileMap.Add("real-source105.jpg", true); + fileMap.Add("real-source106.jpg", true); + fileMap.Add("real-source107.jpg", true); + fileMap.Add("real-source108.jpg", true); + fileMap.Add("real-source109.jpg", true); + fileMap.Add("real-source110.jpg", true); + fileMap.Add("real-source111.jpg", true); + fileMap.Add("real-source112.jpg", true); + fileMap.Add("real-source113.jpg", true); + fileMap.Add("real-source114.jpg", true); + fileMap.Add("real-source115.jpg", true); + fileMap.Add("real-source116.jpg", true); + fileMap.Add("real-source117.jpg", true); + fileMap.Add("real-source118.jpg", true); + fileMap.Add("real-source119.jpg", true); + fileMap.Add("real-source120.jpg", true); + fileMap.Add("real-source121.jpg", true); + fileMap.Add("real-source123.jpg", true); + fileMap.Add("real-source124.jpg", true); + fileMap.Add("real-source125.jpg", true); + fileMap.Add("real-source126.jpg", true); + fileMap.Add("real-source127.jpg", true); + fileMap.Add("real-source128.jpg", true); + + var purifyScanner = new ScannerPurify { DebugLevel = ScannerBase.EDebugLevel.None }; + + StartDataExport("purifyPvE"); + foreach (var kvp in fileMap) + { + var srcScreenshot = LoadScreenshot("train-purify-pve/" + kvp.Key); + var fastBitmap = ScreenshotUtilities.ConvertToFastBitmap(srcScreenshot); + + for (int idx = 0; idx < 3; idx++) + { + var values = purifyScanner.ExtractHeaderPatternData(fastBitmap, idx); + ExportValues(values, kvp.Value ? (idx + 1) : 0); + } + } + + FinishDataExport("sino-ml-purifyPvE.json"); + } } }