diff --git a/BetterGenshinImpact.Test/Simple/AllMap/EntireMapTest.cs b/BetterGenshinImpact.Test/Simple/AllMap/EntireMapTest.cs index 5bda09c2..0bc95c27 100644 --- a/BetterGenshinImpact.Test/Simple/AllMap/EntireMapTest.cs +++ b/BetterGenshinImpact.Test/Simple/AllMap/EntireMapTest.cs @@ -11,7 +11,7 @@ public class EntireMapTest { SpeedTimer speedTimer = new(); var mainMap1024BlockMat = new Mat(@"E:\HuiTask\更好的原神\地图匹配\有用的素材\mainMap1024Block.png", ImreadModes.Grayscale); - var surfMatcher = new SurfMatcher(mainMap1024BlockMat); + var surfMatcher = new FeatureMatcher(mainMap1024BlockMat); var queryMat = new Mat(@"E:\HuiTask\更好的原神\地图匹配\比较\小地图\Clip_20240323_183119.png", ImreadModes.Grayscale); speedTimer.Record("初始化特征"); diff --git a/BetterGenshinImpact.Test/Simple/AllMap/KeyPointMatchTest.cs b/BetterGenshinImpact.Test/Simple/AllMap/KeyPointMatchTest.cs index 05f120e3..0e298f12 100644 --- a/BetterGenshinImpact.Test/Simple/AllMap/KeyPointMatchTest.cs +++ b/BetterGenshinImpact.Test/Simple/AllMap/KeyPointMatchTest.cs @@ -270,35 +270,6 @@ public class KeyPointMatchTest return result; } - [Obsolete("Obsolete")] - public static byte[] SerializeObject(object obj) - { - if (obj == null) - return null; - //内存实例 - MemoryStream ms = new MemoryStream(); - //创建序列化的实例 - BinaryFormatter formatter = new BinaryFormatter(); - formatter.Serialize(ms, obj); //序列化对象，写入ms流中 - byte[] bytes = ms.GetBuffer(); - return bytes; - } - - [Obsolete("Obsolete")] - public static object DeserializeObject(byte[] bytes) - { - object obj = null; - if (bytes == null) - return obj; - //利用传来的byte[]创建一个内存流 - MemoryStream ms = new MemoryStream(bytes); - ms.Position = 0; - BinaryFormatter formatter = new BinaryFormatter(); - obj = formatter.Deserialize(ms); //把内存流反序列成对象 - ms.Close(); - return obj; - } - static bool WriteRawImage(Mat image, string filename) { using (FileStream file = new FileStream(filename, FileMode.Create)) diff --git a/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/Feature2DType.cs b/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/Feature2DType.cs new file mode 100644 index 00000000..589d96d0 --- /dev/null +++ b/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/Feature2DType.cs @@ -0,0 +1,10 @@ +namespace BetterGenshinImpact.Core.Recognition.OpenCv.FeatureMatch; + +public enum Feature2DType +{ + // ReSharper disable once InconsistentNaming + SURF, + + // ReSharper disable once InconsistentNaming + SIFT +} diff --git a/BetterGenshinImpact/Core/Recognition/OpenCv/SurfMatcher.cs b/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/FeatureMatcher.cs similarity index 54% rename from BetterGenshinImpact/Core/Recognition/OpenCv/SurfMatcher.cs rename to BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/FeatureMatcher.cs index 8ef91c3f..7c728d4b 100644 --- a/BetterGenshinImpact/Core/Recognition/OpenCv/SurfMatcher.cs +++ b/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/FeatureMatcher.cs @@ -5,160 +5,55 @@ using OpenCvSharp.XFeatures2D; using System; using System.Collections.Generic; using System.Diagnostics; +using OpenCvSharp.Features2D; -namespace BetterGenshinImpact.Core.Recognition.OpenCv; +namespace BetterGenshinImpact.Core.Recognition.OpenCv.FeatureMatch; -public class SurfMatcher +public class FeatureMatcher { - private readonly double _threshold; - private readonly SURF _surf; + private readonly double _threshold = 100; // SURF 100 + private readonly Feature2D _feature2D; private readonly Mat _trainMat; // 大图本身 private readonly Mat _trainRet = new(); // 大图特征描述子 private readonly KeyPoint[] _trainKeyPoints; - private readonly KeyPointFeatureBlock[][] _blocks; - private readonly int _splitRow = 13 * 2; - private readonly int _splitCol = 14 * 2; - private KeyPointFeatureBlock? _lastMergedBlock; + private readonly KeyPointFeatureBlock[][] _blocks; // 特征块存储 + private readonly int _splitRow = 13 * 2; // 特征点拆分行数 + private readonly int _splitCol = 14 * 2; // 特征点拆分列数 + private KeyPointFeatureBlock? _lastMergedBlock; // 上次合并的特征块 - public SurfMatcher(Mat trainMat, double threshold = 100) + public FeatureMatcher(Mat trainMat, Feature2DType type = Feature2DType.SIFT, double threshold = 100) { _threshold = threshold; _trainMat = trainMat; - _surf = SURF.Create(_threshold, 4, 3, false, true); - _surf.DetectAndCompute(trainMat, null, out _trainKeyPoints, _trainRet); + if (Feature2DType.SURF == type) + { + _feature2D = SURF.Create(_threshold, 4, 3, false, true); + } + else + { + _feature2D = SIFT.Create(); + } + + var featureStorage = new FeatureStorage(type, "mainMap1024Block"); + var kpFromDisk = featureStorage.LoadKeyPointArray(); + if (kpFromDisk == null) + { + _feature2D.DetectAndCompute(trainMat, null, out _trainKeyPoints, _trainRet); + featureStorage.SaveKeyPointArray(_trainKeyPoints); + featureStorage.SaveDescMat(_trainRet); + } + else + { + _trainKeyPoints = kpFromDisk; + _trainRet = featureStorage.LoadDescMat() ?? throw new Exception("加载特征描述矩阵失败"); + } + Debug.WriteLine("被匹配的图像生成初始化KeyPoint完成"); - _blocks = SplitFeatures(_trainMat, _splitRow, _splitCol, _trainKeyPoints, _trainRet); + _blocks = KeyPointFeatureBlockHelper.SplitFeatures(_trainMat, _splitRow, _splitCol, _trainKeyPoints, _trainRet); Debug.WriteLine("切割特征点完成"); } - public static KeyPointFeatureBlock[][] SplitFeatures(Mat originalImage, int rows, int cols, KeyPoint[] keyPoints, Mat matches) - { - // Calculate grid size - int cellWidth = originalImage.Width / cols; - int cellHeight = originalImage.Height / rows; - - // Initialize arrays to store split features and matches - var splitKeyPoints = new KeyPointFeatureBlock[rows][]; - - // Initialize each row - for (int i = 0; i < rows; i++) - { - splitKeyPoints[i] = new KeyPointFeatureBlock[cols]; - } - - // Split features and matches - for (int i = 0; i < keyPoints.Length; i++) - { - int row = (int)(keyPoints[i].Pt.Y / cellHeight); - int col = (int)(keyPoints[i].Pt.X / cellWidth); - - // Ensure row and col are within bounds - row = Math.Min(Math.Max(row, 0), rows - 1); - col = Math.Min(Math.Max(col, 0), cols - 1); - - // ReSharper disable once ConditionIsAlwaysTrueOrFalseAccordingToNullableAPIContract - if (splitKeyPoints[row][col] == null) - { - splitKeyPoints[row][col] = new KeyPointFeatureBlock(); - } - - splitKeyPoints[row][col].KeyPointList.Add(keyPoints[i]); - splitKeyPoints[row][col].KeyPointIndexList.Add(i); - } - - // 遍历每个特征块，计算描述子 - for (int i = 0; i < rows; i++) - { - for (int j = 0; j < cols; j++) - { - // ReSharper disable once ConditionIsAlwaysTrueOrFalseAccordingToNullableAPIContract - if (splitKeyPoints[i][j] == null) - { - continue; - } - - var block = splitKeyPoints[i][j]; - - var descriptor = new Mat(block.KeyPointIndexList.Count, 64, MatType.CV_32FC1); - InitBlockMat(block.KeyPointIndexList, descriptor, matches); - - block.Descriptor = descriptor; - } - } - - return splitKeyPoints; - } - - public static (int, int) GetCellIndex(Mat originalImage, int rows, int cols, int x, int y) - { - // Calculate grid size - int cellWidth = originalImage.Width / cols; - int cellHeight = originalImage.Height / rows; - - // Calculate cell index for the given point - int cellRow = (int)(y / cellHeight); - int cellCol = (int)(x / cellWidth); - - return (cellRow, cellCol); - } - - public static KeyPointFeatureBlock MergeNeighboringFeatures(KeyPointFeatureBlock[][] splitKeyPoints, Mat matches, int cellRow, int cellCol) - { - // Initialize lists to store neighboring features and matches - var neighboringKeyPoints = new List(); - var neighboringKeyPointIndices = new List(); - - // Loop through 9 neighboring cells - for (int i = Math.Max(cellRow - 1, 0); i <= Math.Min(cellRow + 1, splitKeyPoints.Length - 1); i++) - { - for (int j = Math.Max(cellCol - 1, 0); j <= Math.Min(cellCol + 1, splitKeyPoints[i].Length - 1); j++) - { - // ReSharper disable once ConditionIsAlwaysTrueOrFalseAccordingToNullableAPIContract - if (splitKeyPoints[i][j] != null) - { - neighboringKeyPoints.AddRange(splitKeyPoints[i][j].KeyPointList); - neighboringKeyPointIndices.AddRange(splitKeyPoints[i][j].KeyPointIndexList); - } - } - } - - // Merge neighboring features - var mergedKeyPointBlock = new KeyPointFeatureBlock - { - MergedCenterCellCol = cellCol, - MergedCenterCellRow = cellRow, - KeyPointList = neighboringKeyPoints, - KeyPointIndexList = neighboringKeyPointIndices - }; - mergedKeyPointBlock.Descriptor = new Mat(mergedKeyPointBlock.KeyPointIndexList.Count, 64, MatType.CV_32FC1); - InitBlockMat(mergedKeyPointBlock.KeyPointIndexList, mergedKeyPointBlock.Descriptor, matches); - - return mergedKeyPointBlock; - } - - /// - /// 按行拷贝matches到descriptor - /// - /// 记录了哪些行需要拷贝 - /// 拷贝结果 - /// 原始数据 - private static unsafe void InitBlockMat(IReadOnlyList keyPointIndexList, Mat descriptor, Mat matches) - { - int cols = matches.Cols; - float* ptrDest = (float*)descriptor.DataPointer; - - for (int i = 0; i < keyPointIndexList.Count; i++) - { - var index = keyPointIndexList[i]; - float* ptrSrcRow = (float*)matches.Ptr(index); - for (int j = 0; j < cols; j++) - { - *(ptrDest + i * cols + j) = ptrSrcRow[j]; - } - } - } - /// /// 普通匹配（全图特征） /// @@ -178,11 +73,12 @@ public class SurfMatcher /// public Point2f[]? Match(Mat queryMat, int prevX, int prevY) { - var (cellRow, cellCol) = GetCellIndex(_trainMat, _splitRow, _splitCol, prevX, prevY); + var (cellRow, cellCol) = KeyPointFeatureBlockHelper.GetCellIndex(_trainMat, _splitRow, _splitCol, prevX, prevY); if (_lastMergedBlock == null || _lastMergedBlock.MergedCenterCellRow != cellRow || _lastMergedBlock.MergedCenterCellCol != cellCol) { - _lastMergedBlock = MergeNeighboringFeatures(_blocks, _trainRet, cellRow, cellCol); + _lastMergedBlock = KeyPointFeatureBlockHelper.MergeNeighboringFeatures(_blocks, _trainRet, cellRow, cellCol); } + return Match(_lastMergedBlock.KeyPointArray, _lastMergedBlock.Descriptor!, queryMat); } @@ -199,7 +95,7 @@ public class SurfMatcher using var queryRet = new Mat(); - _surf.DetectAndCompute(queryMat, null, out var queryKeyPoints, queryRet); + _feature2D.DetectAndCompute(queryMat, null, out var queryKeyPoints, queryRet); speedTimer.Record("模板生成KeyPoint"); using var flnMatcher = new FlannBasedMatcher(); diff --git a/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/FeatureStorage.cs b/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/FeatureStorage.cs new file mode 100644 index 00000000..2baae97c --- /dev/null +++ b/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/FeatureStorage.cs @@ -0,0 +1,82 @@ +using BetterGenshinImpact.Core.Config; +using BetterGenshinImpact.Helpers; +using OpenCvSharp; +using System; +using System.Diagnostics; +using System.IO; +using System.Runtime.InteropServices; + +namespace BetterGenshinImpact.Core.Recognition.OpenCv.FeatureMatch; + +public class FeatureStorage(Feature2DType type, string name) +{ + private readonly string rootPath = Global.Absolute(@"User\Map\"); + + public KeyPoint[]? LoadKeyPointArray() + { + CreateFolder(); + string kpPath = Path.Combine(rootPath, $"{name}_{type}.kp"); + if (File.Exists(kpPath)) + { + return ObjectUtils.Deserialize(File.ReadAllBytes(kpPath)) as KeyPoint[]; + } + return null; + } + + public void SaveKeyPointArray(KeyPoint[] kpArray) + { + CreateFolder(); + string kpPath = Path.Combine(rootPath, $"{name}_{type}.kp"); + File.WriteAllBytes(kpPath, ObjectUtils.Serialize(kpArray)); + } + + private void CreateFolder() + { + if (Directory.Exists(rootPath) == false) + { + Directory.CreateDirectory(rootPath); + } + } + + public Mat? LoadDescMat() + { + CreateFolder(); + // 格式: Surf_336767x128.mat + var files = Directory.GetFiles(rootPath, $"{name}_{type}_*.mat", SearchOption.AllDirectories); + if (files.Length == 0) + { + return null; + } + else if (files.Length > 1) + { + Debug.WriteLine($"[FeatureSerializer] Found multiple files: {string.Join(", ", files)}"); + } + var rowColPair = Path.GetFileNameWithoutExtension(files[0]) + .Replace($"{name}_{type}_", "") + .Split('x'); + if (rowColPair.Length != 2) + { + Debug.WriteLine($"[FeatureSerializer] Invalid file name: {files[0]}"); + return null; + } + GCHandle pinnedArray = GCHandle.Alloc(ObjectUtils.Deserialize(File.ReadAllBytes(files[0])), GCHandleType.Pinned); + IntPtr pointer = pinnedArray.AddrOfPinnedObject(); + return new Mat(Convert.ToInt32(rowColPair[0]), Convert.ToInt32(rowColPair[1]), MatType.CV_32FC1, pointer); + } + + public void SaveDescMat(Mat descMat) + { + CreateFolder(); + // 删除旧文件 + var files = Directory.GetFiles(rootPath, $"{name}_{type}_*.mat", SearchOption.AllDirectories); + foreach (var file in files) + { + File.Delete(file); + } + + var descPath = Path.Combine(rootPath, $"{name}_{type}_{descMat.Rows}x{descMat.Cols}.mat"); + var bytes = new byte[descMat.Step(0) * descMat.Rows]; // matSrcRet.Total() * matSrcRet.ElemSize() + Marshal.Copy(descMat.Data, bytes, 0, bytes.Length); + File.WriteAllBytes(descPath, ObjectUtils.Serialize(bytes)); + } +} diff --git a/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/KeyPointFeatureBlockHelper.cs b/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/KeyPointFeatureBlockHelper.cs new file mode 100644 index 00000000..1d46cd0f --- /dev/null +++ b/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/KeyPointFeatureBlockHelper.cs @@ -0,0 +1,138 @@ +using BetterGenshinImpact.Core.Recognition.OpenCv.Model; +using OpenCvSharp; +using System; +using System.Collections.Generic; + +namespace BetterGenshinImpact.Core.Recognition.OpenCv.FeatureMatch; + +public class KeyPointFeatureBlockHelper +{ + public static KeyPointFeatureBlock[][] SplitFeatures(Mat originalImage, int rows, int cols, KeyPoint[] keyPoints, Mat matches) + { + var matchesCols = matches.Cols; // SURF 64 SIFT 128 + // Calculate grid size + int cellWidth = originalImage.Width / cols; + int cellHeight = originalImage.Height / rows; + + // Initialize arrays to store split features and matches + var splitKeyPoints = new KeyPointFeatureBlock[rows][]; + + // Initialize each row + for (int i = 0; i < rows; i++) + { + splitKeyPoints[i] = new KeyPointFeatureBlock[cols]; + } + + // Split features and matches + for (int i = 0; i < keyPoints.Length; i++) + { + int row = (int)(keyPoints[i].Pt.Y / cellHeight); + int col = (int)(keyPoints[i].Pt.X / cellWidth); + + // Ensure row and col are within bounds + row = Math.Min(Math.Max(row, 0), rows - 1); + col = Math.Min(Math.Max(col, 0), cols - 1); + + // ReSharper disable once ConditionIsAlwaysTrueOrFalseAccordingToNullableAPIContract + if (splitKeyPoints[row][col] == null) + { + splitKeyPoints[row][col] = new KeyPointFeatureBlock(); + } + + splitKeyPoints[row][col].KeyPointList.Add(keyPoints[i]); + splitKeyPoints[row][col].KeyPointIndexList.Add(i); + } + + // 遍历每个特征块，计算描述子 + for (int i = 0; i < rows; i++) + { + for (int j = 0; j < cols; j++) + { + // ReSharper disable once ConditionIsAlwaysTrueOrFalseAccordingToNullableAPIContract + if (splitKeyPoints[i][j] == null) + { + continue; + } + + var block = splitKeyPoints[i][j]; + + var descriptor = new Mat(block.KeyPointIndexList.Count, matchesCols, MatType.CV_32FC1); + InitBlockMat(block.KeyPointIndexList, descriptor, matches); + + block.Descriptor = descriptor; + } + } + + return splitKeyPoints; + } + + public static (int, int) GetCellIndex(Mat originalImage, int rows, int cols, int x, int y) + { + // Calculate grid size + int cellWidth = originalImage.Width / cols; + int cellHeight = originalImage.Height / rows; + + // Calculate cell index for the given point + int cellRow = y / cellHeight; + int cellCol = x / cellWidth; + + return (cellRow, cellCol); + } + + public static KeyPointFeatureBlock MergeNeighboringFeatures(KeyPointFeatureBlock[][] splitKeyPoints, Mat matches, int cellRow, int cellCol) + { + var matchesCols = matches.Cols; // SURF 64 SIFT 128 + // Initialize lists to store neighboring features and matches + var neighboringKeyPoints = new List(); + var neighboringKeyPointIndices = new List(); + + // Loop through 9 neighboring cells + for (int i = Math.Max(cellRow - 1, 0); i <= Math.Min(cellRow + 1, splitKeyPoints.Length - 1); i++) + { + for (int j = Math.Max(cellCol - 1, 0); j <= Math.Min(cellCol + 1, splitKeyPoints[i].Length - 1); j++) + { + // ReSharper disable once ConditionIsAlwaysTrueOrFalseAccordingToNullableAPIContract + if (splitKeyPoints[i][j] != null) + { + neighboringKeyPoints.AddRange(splitKeyPoints[i][j].KeyPointList); + neighboringKeyPointIndices.AddRange(splitKeyPoints[i][j].KeyPointIndexList); + } + } + } + + // Merge neighboring features + var mergedKeyPointBlock = new KeyPointFeatureBlock + { + MergedCenterCellCol = cellCol, + MergedCenterCellRow = cellRow, + KeyPointList = neighboringKeyPoints, + KeyPointIndexList = neighboringKeyPointIndices + }; + mergedKeyPointBlock.Descriptor = new Mat(mergedKeyPointBlock.KeyPointIndexList.Count, matchesCols, MatType.CV_32FC1); + InitBlockMat(mergedKeyPointBlock.KeyPointIndexList, mergedKeyPointBlock.Descriptor, matches); + + return mergedKeyPointBlock; + } + + /// + /// 按行拷贝matches到descriptor + /// + /// 记录了哪些行需要拷贝 + /// 拷贝结果 + /// 原始数据 + private static unsafe void InitBlockMat(IReadOnlyList keyPointIndexList, Mat descriptor, Mat matches) + { + int cols = matches.Cols; + float* ptrDest = (float*)descriptor.DataPointer; + + for (int i = 0; i < keyPointIndexList.Count; i++) + { + var index = keyPointIndexList[i]; + float* ptrSrcRow = (float*)matches.Ptr(index); + for (int j = 0; j < cols; j++) + { + *(ptrDest + i * cols + j) = ptrSrcRow[j]; + } + } + } +} diff --git a/BetterGenshinImpact/GameTask/Common/Map/EntireMap.cs b/BetterGenshinImpact/GameTask/Common/Map/EntireMap.cs index e83e4dea..4dcbdb5d 100644 --- a/BetterGenshinImpact/GameTask/Common/Map/EntireMap.cs +++ b/BetterGenshinImpact/GameTask/Common/Map/EntireMap.cs @@ -1,5 +1,6 @@ using BetterGenshinImpact.Core.Config; using BetterGenshinImpact.Core.Recognition.OpenCv; +using BetterGenshinImpact.Core.Recognition.OpenCv.FeatureMatch; using CommunityToolkit.Mvvm.Messaging; using CommunityToolkit.Mvvm.Messaging.Messages; using OpenCvSharp; @@ -33,7 +34,7 @@ public class EntireMap /// private readonly Mat _cityMap2048BlockMat; - private readonly SurfMatcher _surfMatcher; + private readonly FeatureMatcher _surfMatcher; private int _prevX = -1; private int _prevY = -1; @@ -44,7 +45,7 @@ public class EntireMap _mainMap100BlockMat = new Mat(Global.Absolute(@"Assets\Map\mainMap100Block.png")); _mainMap1024BlockMat = new Mat(@"E:\HuiTask\更好的原神\地图匹配\有用的素材\mainMap1024Block.png", ImreadModes.Grayscale); // _cityMap2048BlockMat = new Mat(@"E:\HuiTask\更好的原神\地图匹配\有用的素材\cityMap2048Block.png", ImreadModes.Grayscale); - _surfMatcher = new SurfMatcher(_mainMap1024BlockMat); + _surfMatcher = new FeatureMatcher(_mainMap1024BlockMat); } /// @@ -89,8 +90,7 @@ public class EntireMap if (pArray == null || pArray.Length < 4) { - _prevX = -1; - _prevY = -1; + (_prevX, _prevY) = (-1, -1); throw new InvalidOperationException(); } var rect = Cv2.BoundingRect(pArray); @@ -128,6 +128,7 @@ public class EntireMap } catch (Exception) { + (_prevX, _prevY) = (-1, -1); Debug.WriteLine("Surf Match Failed"); } } diff --git a/BetterGenshinImpact/GameTask/Model/RectArea.cs b/BetterGenshinImpact/GameTask/Model/RectArea.cs index 4b351742..5a95a912 100644 --- a/BetterGenshinImpact/GameTask/Model/RectArea.cs +++ b/BetterGenshinImpact/GameTask/Model/RectArea.cs @@ -6,15 +6,13 @@ using BetterGenshinImpact.Helpers.Extensions; using BetterGenshinImpact.View.Drawable; using OpenCvSharp; using OpenCvSharp.Extensions; +using Sdcb.PaddleOCR; using System; using System.Collections.Generic; using System.Drawing; using System.Linq; using System.Text.RegularExpressions; -using Microsoft.Extensions.Logging; -using Sdcb.PaddleOCR; using Point = OpenCvSharp.Point; -using static BetterGenshinImpact.GameTask.Common.TaskControl; namespace BetterGenshinImpact.GameTask.Model; diff --git a/BetterGenshinImpact/Helpers/ObjectUtils.cs b/BetterGenshinImpact/Helpers/ObjectUtils.cs new file mode 100644 index 00000000..befa8049 --- /dev/null +++ b/BetterGenshinImpact/Helpers/ObjectUtils.cs @@ -0,0 +1,33 @@ +using System.IO; +using System.Runtime.Serialization.Formatters.Binary; + +namespace BetterGenshinImpact.Helpers; + +public class ObjectUtils +{ + public static byte[] Serialize(object obj) + { + var ms = new MemoryStream(); + var formatter = new BinaryFormatter(); +#pragma warning disable SYSLIB0011 + formatter.Serialize(ms, obj); +#pragma warning restore SYSLIB0011 + byte[] bytes = ms.GetBuffer(); + return bytes; + } + + public static object Deserialize(byte[] bytes) + { + //利用传来的byte[]创建一个内存流 + var ms = new MemoryStream(bytes) + { + Position = 0 + }; + var formatter = new BinaryFormatter(); +#pragma warning disable SYSLIB0011 + var obj = formatter.Deserialize(ms); //把内存流反序列成对象 +#pragma warning restore SYSLIB0011 + ms.Close(); + return obj; + } +}