better-genshin-impact/BetterGenshinImpact/Core/Recognition/OpenCv/FeatureMatch/KeyPointFeatureBlockHelper.cs

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<KeyPoint>();
        var neighboringKeyPointIndices = new List<int>();

        // 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;
    }

    /// <summary>
    /// 按行拷贝matches到descriptor
    /// </summary>
    /// <param name="keyPointIndexList">记录了哪些行需要拷贝</param>
    /// <param name="descriptor">拷贝结果</param>
    /// <param name="matches">原始数据</param>
    private static unsafe void InitBlockMat(IReadOnlyList<int> 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];
            }
        }
    }
}