private static void fastPruningWithRSC()
{
int s = 100, r = 5;
MyTimer timer = new MyTimer();
string[] templatefiles = Directory.GetFiles(@"D:\Play Data\train_data\sc\", "*.sc")
.Take(1000).ToArray();
#region 打开模板
string templatepath = @"D:\Play Data\template\";
int templatecount = templatefiles.Length;
Debug("打开{0}个模板--------------------------------------------", templatecount);
double[][,] templates = new double[templatecount][,];
int[] templatenums = new int[templatecount];
timer.Restart();
for (int i = 0; i < templatefiles.Length; ++i) {
string file = templatefiles[i];
string filename = Path.GetFileNameWithoutExtension(file);
templatenums[i] = int.Parse(filename.Split('-')[1]);
templates[i] = new double[s, 60];
unsafe {
#region 指针也快不了多少
//byte[] data = File.ReadAllBytes(file);
//fixed (byte* ptr = data) {
// //using (var fs = new FileStream(file, FileMode.Open)) {
// // using (var br = new BinaryReader(fs)) {
// int offset = 0;
// for (int j = 0; j < s; ++j) {
// for (int k = 0; k < 60; ++k) {
// //templates[i][j, k] = br.ReadDouble();
// fixed (double* t = &templates[i][j, k]) {
// for (int p = 0; p < sizeof(double); ++p)
// *((byte*)t + p) = *(ptr + offset++);
// }
// }
// }
//}
#endregion
using (var fs = new FileStream(file, FileMode.Open)) {
using (var br = new BinaryReader(fs)) {
for (int j = 0; j < s; ++j) {
for (int k = 0; k < 60; ++k) {
templates[i][j, k] = br.ReadDouble();
}
}
}
}
}
if (i % 100 == 0)
Debug("已完成{0}个", i);
}
Debug("模板读取完成，用时{0}ms.", timer.Stop());
#endregion
string[] testfiles = Directory.GetFiles(@"D:\Play Data\test\", "*.bmp")
.Take(100).ToArray();
#region 测试
int testcase = testfiles.Length, acc = 0;
Debug("为{0}个对象寻找候选模板------------------------------------------", testcase);
foreach (var file in testfiles) {
timer.Restart();
string filenameext = Path.GetFileName(file);
string filename = Path.GetFileNameWithoutExtension(file);
int thisnum = int.Parse(filename.Split('-')[1]);
Image<Gray, Byte> img = new Image<Gray, byte>(file);
var list = getEdge(img.Resize(2.5, Emgu.CV.CvEnum.INTER.CV_INTER_LINEAR)).Sample(s);
var sc100 = Jim.OCR.ShapeContext2D.ShapeContext.ComputeSC(list);
double[,] scq = new double[r, 60];
for (int i = 0; i < 5; ++i) {
int pos = rand.Next(s);
for (int k = 0; k < 60; ++k) {
scq[i, k] = sc100[pos, k];
}
}
var arr = new ValueIndexPair<double>[templatecount];
for (int i = 0; i < templatecount; ++i) {
double[,] sci = templates[i];
double[,] costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(scq, sci);
double cost = 0;
for (int j = 0; j < 5; ++j) {
double min = double.MaxValue;
for (int u = 0; u < s; ++u) {
double val = costmat[j, u];
if (val < min) min = val;
}
cost += min;
}
arr[i] = new ValueIndexPair<double> { Value = cost, Index = i };
}
Array.Sort(arr, (a, b) => a.Value.CompareTo(b.Value));
int[] matchcount = new int[10];
double[] matchcost = new double[10];
int knn = 10;
foreach (var pair in arr.Take(knn)) {
int num = templatenums[pair.Index];
matchcount[num]++;
matchcost[num] += pair.Value;
}
var match = matchcount.Select((val, i) => new { Count = val, Num = i })
.Where(v => v.Count > 0)
.OrderByDescending(v => v.Count).ToArray();
//var match = matchcost.Select((val, i) => new { Cost = val / matchcount[i], Num = i })
// .Where(v => !double.IsNaN(v.Cost))
// .OrderBy(v => v.Cost).ToArray();
#region 进行精细匹配，效果一般
//double[] matchrate = new double[10];
//foreach (var m in match) {
// if (m.Count == 0) break;
// string template = Path.Combine(templatepath, m.Num + ".bmp");
// Jim.OCR.ShapeContext2D.ShapeContext sc = new Jim.OCR.ShapeContext2D.ShapeContext(file, template);
// sc.debug_flag = false;
// sc.timer_flag = false;
// sc.display_flag = false;
// sc.n_iter = 3;
// sc.matchScale = 2.5;
// sc.maxsamplecount = 100;
// matchrate[m.Num] = sc.MatchFile();
//}
//var bestmatches = matchrate.Select((val, i) => new { Cost = val, Num = i })
// .Where(m => m.Cost > 0)
// .OrderBy(m => m.Cost).ToArray();
//int firstmatch = bestmatches[0].Num;
#endregion
int firstmatch = match[0].Num;
var fc = Console.ForegroundColor;
Console.ForegroundColor = firstmatch == thisnum ? ConsoleColor.Green : ConsoleColor.Red;
string info = String.Format("{0} {1}ms - {2}\t", filename, timer.Stop(), (firstmatch == thisnum ? "Right" : "Wrong"));
//foreach (var m in bestmatches.Take(4)) {
foreach (var m in match) {
info += String.Format("{0}/{1}\t", m.Num, m.Count);
//info += String.Format("{0}/{1:F3}\t", m.Num, m.Cost);
//info += String.Format("{0}/{1:F3}\t", m.Num, m.Cost);
}
Debug(info);
Console.ForegroundColor = fc;
if (firstmatch == thisnum) {
++acc;
}
}
Debug("测试用例：{0}。正确率{1}。", testcase, acc);
#endregion
}
public void Run()
{
double totaltime = 0;
int s = 100, r = 5;
string[] templatefiles = Directory.GetFiles(@"D:\Play Data\train_data\sc\", "*.sc")
.Take(100).ToArray();
#region 打开模板
string templatepath = @"D:\Play Data\template\";
int templatecount = templatefiles.Length;
Debug("打开{0}个模板--------------------------------------------", templatecount);
double[][,] templates = new double[templatecount][, ];
int[] templatenums = new int[templatecount];
timer.Restart();
for (int i = 0; i < templatefiles.Length; ++i)
{
string file = templatefiles[i];
string filename = Path.GetFileNameWithoutExtension(file);
templatenums[i] = int.Parse(filename.Split('-')[1]);
templates[i] = new double[s, 60];
using (var fs = new FileStream(file, FileMode.Open)) {
using (var br = new BinaryReader(fs)) {
for (int j = 0; j < s; ++j)
{
for (int k = 0; k < 60; ++k)
{
templates[i][j, k] = br.ReadDouble();
}
}
}
}
if (i % 100 == 0)
{
Debug("已完成{0}个", i);
}
}
Debug("模板读取完成，用时{0}ms.", timer.Stop());
#endregion
string[] testfiles = Directory.GetFiles(@"D:\Play Data\test\", "*.bmp")
.Take(1000).ToArray();
#region 测试
int testcase = testfiles.Length, acc = 0;
Debug("为{0}个对象寻找候选模板------------------------------------------", testcase);
foreach (var file in testfiles)
{
timer.Restart();
string filenameext = Path.GetFileName(file);
string filename = Path.GetFileNameWithoutExtension(file);
int thisnum = int.Parse(filename.Split('-')[1]);
Image <Gray, Byte> img = new Image <Gray, byte>(file);
var list = getEdge(img.Resize(2.5, Emgu.CV.CvEnum.INTER.CV_INTER_LINEAR)).Sample(s);
var sc100 = Jim.OCR.ShapeContext2D.ShapeContext.ComputeSC(list);
double[,] scq = new double[r, 60];
for (int i = 0; i < 5; ++i)
{
int pos = rand.Next(s);
for (int k = 0; k < 60; ++k)
{
scq[i, k] = sc100[pos, k];
}
}
var arr = new ValueIndexPair <double> [templatecount];
for (int i = 0; i < templatecount; ++i)
{
double[,] sci = templates[i];
double[,] costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(scq, sci);
double cost = 0;
for (int j = 0; j < 5; ++j)
{
double min = double.MaxValue;
for (int u = 0; u < s; ++u)
{
double val = costmat[j, u];
if (val < min)
{
min = val;
}
}
cost += min;
}
arr[i] = new ValueIndexPair <double> {
Value = cost, Index = i
};
}
Array.Sort(arr, (a, b) => a.Value.CompareTo(b.Value));
int knn = 10;
#region 进行精细匹配
var kmresults = new List <ValueIndexPair <double> >();
foreach (var pair in arr.Take(knn))
{
int idx = pair.Index;
var costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(templates[idx], sc100);
var costmat_int = new int[s, s];
for (int ii = 0; ii < s; ++ii)
{
for (int jj = 0; jj < s; ++jj)
{
costmat_int[ii, jj] = (int)(costmat[ii, jj] * 10000);
}
}
var km = new KM(s, costmat_int);
km.Match(false);
kmresults.Add(new ValueIndexPair <double> {
Index = idx, Value = km.MatchResult / 10000.0
});
}
kmresults.Sort((a, b) => a.Value.CompareTo(b.Value));
#endregion
//int firstmatch = match[0].Num;
int firstmatch = templatenums[kmresults[0].Index];
var fc = Console.ForegroundColor;
Console.ForegroundColor = firstmatch == thisnum ? ConsoleColor.Green : ConsoleColor.Red;
var timeused = timer.Stop();
totaltime += timeused;
string info = String.Format("{0} {1}ms\t", filename, timeused);
//foreach (var m in bestmatches.Take(4)) {
foreach (var m in kmresults.Take(4))
{
info += String.Format("{0}/{1:F2}\t", templatenums[m.Index], m.Value);
}
//Debug(info);
if (firstmatch != thisnum)
{
Console.Write(".");
}
Console.ForegroundColor = fc;
if (firstmatch == thisnum)
{
++acc;
}
}
Debug("\nRSC and KM 测试用例：{0}。正确率{1}。", testcase, acc);
Console.WriteLine("总用时：{0}ms，平均用时：{1}ms。", totaltime, totaltime / testcase);
#endregion
}
public void Run()
{
double totaltime = 0;
int s = 100, r = 5;
string[] templatefiles = Directory.GetFiles(@"D:\Play Data\train_data\sc\", "*.sc")
.Take(100).ToArray();
#region 打开模板
string templatepath = @"D:\Play Data\template\";
int templatecount = templatefiles.Length;
Debug("打开{0}个模板--------------------------------------------", templatecount);
double[][,] templates = new double[templatecount][,];
int[] templatenums = new int[templatecount];
timer.Restart();
for (int i = 0; i < templatefiles.Length; ++i) {
string file = templatefiles[i];
string filename = Path.GetFileNameWithoutExtension(file);
templatenums[i] = int.Parse(filename.Split('-')[1]);
templates[i] = new double[s, 60];
using (var fs = new FileStream(file, FileMode.Open)) {
using (var br = new BinaryReader(fs)) {
for (int j = 0; j < s; ++j) {
for (int k = 0; k < 60; ++k) {
templates[i][j, k] = br.ReadDouble();
}
}
}
}
if (i % 100 == 0)
Debug("已完成{0}个", i);
}
Debug("模板读取完成，用时{0}ms.", timer.Stop());
#endregion
string[] testfiles = Directory.GetFiles(@"D:\Play Data\test\", "*.bmp")
.Take(1000).ToArray();
#region 测试
int testcase = testfiles.Length, acc = 0;
Debug("为{0}个对象寻找候选模板------------------------------------------", testcase);
foreach (var file in testfiles) {
timer.Restart();
string filenameext = Path.GetFileName(file);
string filename = Path.GetFileNameWithoutExtension(file);
int thisnum = int.Parse(filename.Split('-')[1]);
Image<Gray, Byte> img = new Image<Gray, byte>(file);
var list = getEdge(img.Resize(2.5, Emgu.CV.CvEnum.INTER.CV_INTER_LINEAR)).Sample(s);
var sc100 = Jim.OCR.ShapeContext2D.ShapeContext.ComputeSC(list);
double[,] scq = new double[r, 60];
for (int i = 0; i < 5; ++i) {
int pos = rand.Next(s);
for (int k = 0; k < 60; ++k) {
scq[i, k] = sc100[pos, k];
}
}
var arr = new ValueIndexPair<double>[templatecount];
for (int i = 0; i < templatecount; ++i) {
double[,] sci = templates[i];
double[,] costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(scq, sci);
double cost = 0;
for (int j = 0; j < 5; ++j) {
double min = double.MaxValue;
for (int u = 0; u < s; ++u) {
double val = costmat[j, u];
if (val < min) min = val;
}
cost += min;
}
arr[i] = new ValueIndexPair<double> { Value = cost, Index = i };
}
Array.Sort(arr, (a, b) => a.Value.CompareTo(b.Value));
int knn = 10;
#region 进行精细匹配
var kmresults = new List<ValueIndexPair<double>>();
foreach (var pair in arr.Take(knn)) {
int idx = pair.Index;
var costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(templates[idx], sc100);
var costmat_int = new int[s, s];
for (int ii = 0; ii < s; ++ii) {
for (int jj = 0; jj < s; ++jj) {
costmat_int[ii, jj] = (int)(costmat[ii, jj] * 10000);
}
}
var km = new KM(s, costmat_int);
km.Match(false);
kmresults.Add(new ValueIndexPair<double> { Index = idx, Value = km.MatchResult / 10000.0 });
}
kmresults.Sort((a, b) => a.Value.CompareTo(b.Value));
#endregion
//int firstmatch = match[0].Num;
int firstmatch = templatenums[kmresults[0].Index];
var fc = Console.ForegroundColor;
Console.ForegroundColor = firstmatch == thisnum ? ConsoleColor.Green : ConsoleColor.Red;
var timeused = timer.Stop();
totaltime += timeused;
string info = String.Format("{0} {1}ms\t", filename, timeused);
//foreach (var m in bestmatches.Take(4)) {
foreach (var m in kmresults.Take(4)) {
info += String.Format("{0}/{1:F2}\t", templatenums[m.Index], m.Value);
}
//Debug(info);
if (firstmatch != thisnum) Console.Write(".");
Console.ForegroundColor = fc;
if (firstmatch == thisnum) {
++acc;
}
}
Debug("\nRSC and KM 测试用例：{0}。正确率{1}。", testcase, acc);
Console.WriteLine("总用时：{0}ms，平均用时：{1}ms。", totaltime, totaltime / testcase);
#endregion
}
public void Run()
{
double totaltime = 0;
int s = 100, r = 5;
string[] templatefiles = Directory.GetFiles(@"D:\Play Data\train_data\sc\", "*.sc")
.Take(100).ToArray();
#region 打开模板
string templatepath = @"D:\Play Data\template\";
int templatecount = templatefiles.Length;
Debug("打开{0}个模板--------------------------------------------", templatecount);
double[][,] templates = new double[templatecount][, ];
int[] templatenums = new int[templatecount];
timer.Restart();
for (int i = 0; i < templatefiles.Length; ++i)
{
string file = templatefiles[i];
string filename = Path.GetFileNameWithoutExtension(file);
templatenums[i] = int.Parse(filename.Split('-')[1]);
templates[i] = new double[s, 60];
using (var fs = new FileStream(file, FileMode.Open)) {
using (var br = new BinaryReader(fs)) {
for (int j = 0; j < s; ++j)
{
for (int k = 0; k < 60; ++k)
{
templates[i][j, k] = br.ReadDouble();
}
}
}
}
if (i % 100 == 0)
{
Debug("已完成{0}个", i);
}
}
Debug("模板读取完成，用时{0}ms.", timer.Stop());
#endregion
string[] testfiles = Directory.GetFiles(@"D:\Play Data\test\", "*.bmp")
.Take(1000).ToArray();
#region 测试
int testcase = testfiles.Length, acc = 0;
Debug("为{0}个对象寻找候选模板------------------------------------------", testcase);
foreach (var file in testfiles)
{
timer.Restart();
string filenameext = Path.GetFileName(file);
string filename = Path.GetFileNameWithoutExtension(file);
int thisnum = int.Parse(filename.Split('-')[1]);
Image <Gray, Byte> img = new Image <Gray, byte>(file);
var list = getEdge(img.Resize(2.5, Emgu.CV.CvEnum.INTER.CV_INTER_LINEAR)).Sample(s);
var sc100 = Jim.OCR.ShapeContext2D.ShapeContext.ComputeSC(list);
double[,] scq = new double[r, 60];
for (int i = 0; i < 5; ++i)
{
int pos = rand.Next(s);
for (int k = 0; k < 60; ++k)
{
scq[i, k] = sc100[pos, k];
}
}
var arr = new ValueIndexPair <double> [templatecount];
for (int i = 0; i < templatecount; ++i)
{
double[,] sci = templates[i];
double[,] costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(scq, sci);
double cost = 0;
for (int j = 0; j < 5; ++j)
{
double min = double.MaxValue;
for (int u = 0; u < s; ++u)
{
double val = costmat[j, u];
if (val < min)
{
min = val;
}
}
cost += min;
}
arr[i] = new ValueIndexPair <double> {
Value = cost, Index = i
};
}
Array.Sort(arr, (a, b) => a.Value.CompareTo(b.Value));
int[] matchcount = new int[10];
double[] matchcost = new double[10];
int knn = 10;
foreach (var pair in arr.Take(knn))
{
int num = templatenums[pair.Index];
matchcount[num]++;
matchcost[num] += pair.Value;
}
var match = matchcount.Select((val, i) => new { Count = val, Num = i })
.Where(v => v.Count > 0)
.OrderByDescending(v => v.Count).ToArray();
//var match = matchcost.Select((val, i) => new { Cost = val / matchcount[i], Num = i })
// .Where(v => !double.IsNaN(v.Cost))
// .OrderBy(v => v.Cost).ToArray();
#region 进行精细匹配，效果一般
//double[] matchrate = new double[10];
//foreach (var m in match) {
// if (m.Count == 0) break;
// string template = Path.Combine(templatepath, m.Num + ".bmp");
// Jim.OCR.ShapeContext2D.ShapeContext sc = new Jim.OCR.ShapeContext2D.ShapeContext(file, template);
// sc.debug_flag = false;
// sc.timer_flag = false;
// sc.display_flag = false;
// sc.n_iter = 3;
// sc.matchScale = 2.5;
// sc.maxsamplecount = 100;
// matchrate[m.Num] = sc.MatchFile();
//}
//var bestmatches = matchrate.Select((val, i) => new { Cost = val, Num = i })
// .Where(m => m.Cost > 0)
// .OrderBy(m => m.Cost).ToArray();
//int firstmatch = bestmatches[0].Num;
#endregion
int firstmatch = match[0].Num;
var fc = Console.ForegroundColor;
Console.ForegroundColor = firstmatch == thisnum ? ConsoleColor.Green : ConsoleColor.Red;
var timeused = timer.Stop();
totaltime += timeused;
string info = String.Format("{0} {1}ms - {2}\t", filename, timeused, (firstmatch == thisnum ? "Right" : "Wrong"));
//foreach (var m in bestmatches.Take(4)) {
foreach (var m in match)
{
info += String.Format("{0}/{1}\t", m.Num, m.Count);
//info += String.Format("{0}/{1:F3}\t", m.Num, m.Cost);
//info += String.Format("{0}/{1:F3}\t", m.Num, m.Cost);
}
//Debug(info);
if (firstmatch != thisnum)
{
Console.Write(".");
}
Console.ForegroundColor = fc;
if (firstmatch == thisnum)
{
++acc;
}
}
Debug("\nRSC 测试用例：{0}。正确率{1}。", testcase, acc);
Console.WriteLine("总用时：{0}ms，平均用时：{1}ms。", totaltime, totaltime / testcase);
#endregion
}
public void Run()
{
double totaltime = 0;
int s = 100, r = 5;
string[] templatefiles = Directory.GetFiles(@"D:\Play Data\train_data\sc\", "*.sc")
.Take(100).ToArray();
#region 打开模板
string templatepath = @"D:\Play Data\template\";
int templatecount = templatefiles.Length;
Debug("打开{0}个模板--------------------------------------------", templatecount);
double[][,] templates = new double[templatecount][,];
int[] templatenums = new int[templatecount];
timer.Restart();
for (int i = 0; i < templatefiles.Length; ++i) {
string file = templatefiles[i];
string filename = Path.GetFileNameWithoutExtension(file);
templatenums[i] = int.Parse(filename.Split('-')[1]);
templates[i] = new double[s, 60];
using (var fs = new FileStream(file, FileMode.Open)) {
using (var br = new BinaryReader(fs)) {
for (int j = 0; j < s; ++j) {
for (int k = 0; k < 60; ++k) {
templates[i][j, k] = br.ReadDouble();
}
}
}
}
if (i % 100 == 0)
Debug("已完成{0}个", i);
}
Debug("模板读取完成，用时{0}ms.", timer.Stop());
#endregion
string[] testfiles = Directory.GetFiles(@"D:\Play Data\test\", "*.bmp")
.Take(100).ToArray();
#region 测试
int testcase = testfiles.Length, acc = 0;
Debug("为{0}个对象寻找候选模板------------------------------------------", testcase);
foreach (var file in testfiles) {
timer.Restart();
string filenameext = Path.GetFileName(file);
string filename = Path.GetFileNameWithoutExtension(file);
int thisnum = int.Parse(filename.Split('-')[1]);
Image<Gray, Byte> img = new Image<Gray, byte>(file);
var list = getEdge(img.Resize(2.5, Emgu.CV.CvEnum.INTER.CV_INTER_LINEAR)).Sample(s);
var scq = Jim.OCR.ShapeContext2D.ShapeContext.ComputeSC(list);
var arr = new ValueIndexPair<double>[templatecount];
for (int i = 0; i < templatecount; ++i) {
double[,] sci = templates[i];
double[,] costmat = Jim.OCR.ShapeContext2D.ShapeContext.HistCost(scq, sci);
var costmat_int = new int[s, s];
for (int ii = 0; ii < s; ++ii) {
for (int jj = 0; jj < s; ++jj) {
costmat_int[ii, jj] = (int)(costmat[ii, jj] * 10000);
}
}
var km = new KM(s, costmat_int);
km.Match(false);
arr[i] = new ValueIndexPair<double> { Index = i, Value = km.MatchResult / 10000.0 };
}
Array.Sort(arr, (a, b) => a.Value.CompareTo(b.Value));
int[] matchcount = new int[10];
double[] matchcost = new double[10];
int knn = 10;
foreach (var pair in arr.Take(knn)) {
int num = templatenums[pair.Index];
matchcount[num]++;
matchcost[num] += pair.Value;
}
var match = matchcount.Select((val, i) => new { Count = val, Num = i })
.Where(v => v.Count > 0)
.OrderByDescending(v => v.Count).ToArray();
//var match = matchcost.Select((val, i) => new { Cost = val / matchcount[i], Num = i })
// .Where(v => !double.IsNaN(v.Cost))
// .OrderBy(v => v.Cost).ToArray();
#region 进行精细匹配，效果一般
//double[] matchrate = new double[10];
//foreach (var m in match) {
// if (m.Count == 0) break;
// string template = Path.Combine(templatepath, m.Num + ".bmp");
// Jim.OCR.ShapeContext2D.ShapeContext sc = new Jim.OCR.ShapeContext2D.ShapeContext(file, template);
// sc.debug_flag = false;
// sc.timer_flag = false;
// sc.display_flag = false;
// sc.n_iter = 3;
// sc.matchScale = 2.5;
// sc.maxsamplecount = 100;
// matchrate[m.Num] = sc.MatchFile();
//}
//var bestmatches = matchrate.Select((val, i) => new { Cost = val, Num = i })
// .Where(m => m.Cost > 0)
// .OrderBy(m => m.Cost).ToArray();
//int firstmatch = bestmatches[0].Num;
#endregion
int firstmatch = match[0].Num;
var fc = Console.ForegroundColor;
Console.ForegroundColor = firstmatch == thisnum ? ConsoleColor.Green : ConsoleColor.Red;
var timeused = timer.Stop();
totaltime += timeused;
string info = String.Format("{0} {1}ms - {2}\t", filename, timeused, (firstmatch == thisnum ? "Right" : "Wrong"));
//foreach (var m in bestmatches.Take(4)) {
foreach (var m in match) {
info += String.Format("{0}/{1}\t", m.Num, m.Count);
//info += String.Format("{0}/{1:F3}\t", m.Num, m.Cost);
//info += String.Format("{0}/{1:F3}\t", m.Num, m.Cost);
}
Debug(info);
Console.ForegroundColor = fc;
if (firstmatch == thisnum) {
++acc;
}
}
Debug("测试用例：{0}。正确率{1}。", testcase, acc);
Console.WriteLine("总用时：{0}ms，平均用时：{1}ms。", totaltime, totaltime / testcase);
#endregion
}