private void BtnDumpInfoClick(object sender, EventArgs e)
{
if (string.IsNullOrEmpty(_tbPathToFile.Text))
{
MessageBox.Show(Resources.ErrorNoFileToAnalyze, Resources.SelectFile, MessageBoxButtons.OK, MessageBoxIcon.Information);
return;
}
if (string.IsNullOrEmpty(_tbOutputPath.Text))
{
MessageBox.Show(Resources.SelectPathToDump, Resources.SelectFile, MessageBoxButtons.OK, MessageBoxIcon.Information);
return;
}
if (!File.Exists(Path.GetFullPath(_tbPathToFile.Text)))
{
MessageBox.Show(Resources.NoSuchFile, Resources.NoSuchFile, MessageBoxButtons.OK, MessageBoxIcon.Information);
return;
}
if (_chbCompare.Checked)
{
if (string.IsNullOrEmpty(_tbSongToCompare.Text))
{
MessageBox.Show(Resources.ErrorNoFileToAnalyze, Resources.SelectFile, MessageBoxButtons.OK, MessageBoxIcon.Information);
return;
}
}
Action action =
() =>
{
using (BassAudioService audioService = new BassAudioService())
{
FadeControls(false);
int stride = (int)_nudStride.Value;
var unitOfWork = workUnitBuilder.BuildWorkUnit().On(_tbPathToFile.Text).WithCustomConfiguration(
config =>
{
config.MinFrequency = (int)_nudFreq.Value;
config.TopWavelets = (int)_nudTopWavelets.Value;
config.Stride = _chbStride.Checked
? (IStride)new RandomStride(0, stride)
: new StaticStride(stride);
});
var sameUnitOfWork = workUnitBuilder.BuildWorkUnit().On(_tbPathToFile.Text).WithCustomConfiguration(
config =>
{
config.MinFrequency = (int)_nudFreq.Value;
config.TopWavelets = (int)_nudTopWavelets.Value;
config.Stride = new StaticStride(5115, 5115 / 2);
});
DumpResults resultObj = new DumpResults();
string pathToInput = _tbPathToFile.Text;
string pathToOutput = _tbOutputPath.Text;
int hashTables = (int)_nudTables.Value;
int hashKeys = (int)_nudKeys.Value;
GetFingerprintSimilarity(fingerprintService, unitOfWork, sameUnitOfWork, resultObj);
GetHashSimilarity(fingerprintService, hashTables, hashKeys, unitOfWork, sameUnitOfWork, resultObj);
if (_chbCompare.Checked)
{
int comparisonStride = (int)_nudQueryStride.Value;
var unitOfWorkToCompareWith =
workUnitBuilder.BuildWorkUnit().On(_tbSongToCompare.Text).WithCustomConfiguration(
config =>
{
config.MinFrequency = (int)_nudFreq.Value;
config.TopWavelets = (int)_nudTopWavelets.Value;
config.Stride = _chbQueryStride.Checked
? (IStride)new RandomStride(0, comparisonStride)
: new StaticStride(comparisonStride);
});
GetFingerprintSimilarity(fingerprintService, unitOfWork, unitOfWorkToCompareWith, resultObj);
}
resultObj.Info.MinFrequency = (int)_nudFreq.Value;
resultObj.Info.TopWavelets = (int)_nudTopWavelets.Value;
resultObj.Info.StrideSize = stride;
resultObj.Info.RandomStride = _chbStride.Checked;
resultObj.Info.Filename = pathToInput;
resultObj.ComparisonDone = _chbCompare.Checked;
XmlSerializer serializer = new XmlSerializer(typeof(DumpResults));
TextWriter writer = new StreamWriter(pathToOutput);
serializer.Serialize(writer, resultObj);
writer.Close();
}
};
action.BeginInvoke(
(result) =>
{
action.EndInvoke(result);
FadeControls(true);
},
null);
}
/// <summary>
/// Get hash similarity of one song
/// </summary>
/// <param name = "service">Fingerprint service</param>
/// <param name = "hashTables">Number of hash tables in the LSH transformation</param>
/// <param name = "hashKeys">Number of hash keys per table in the LSH transformation</param>
/// <param name = "path">Path to analyzed file</param>
/// <param name = "results">Results object to be filled with the appropriate data</param>
private void GetHashSimilarity(IFingerprintService service, int hashTables, int hashKeys, IWorkUnit unitOfWork, IWorkUnit sameUnitOfWork, DumpResults results)
{
double sum = 0;
int hashesCount = 0;
int startindex = 0;
List<bool[]> listDb = unitOfWork.GetFingerprintsUsingService(service).Result;
List<bool[]> listQuery = sameUnitOfWork.GetFingerprintsUsingService(service).Result;
IPermutations perms = new DbPermutations(ConfigurationManager.ConnectionStrings["FingerprintConnectionString"].ConnectionString);
MinHash minHash = new MinHash(perms);
List<int[]> minHashDb = listDb.Select(minHash.ComputeMinHashSignature).ToList();
List<int[]> minHashQuery = listQuery.Select(minHash.ComputeMinHashSignature).ToList();
/*Calculate Min Hash signature similarity by comparing 2 consecutive signatures*/
int countDb = minHashDb.Count;
int countQuery = minHashQuery.Count;
int minHashSignatureLen = minHashDb[0].Length;
int similarMinHashValues = 0;
for (int i = 0; i < countDb; i++)
{
for (int j = 0; j < countQuery; j++)
{
for (int k = 0; k < minHashSignatureLen; k++)
if (minHashDb[i][k] == minHashQuery[j][k])
similarMinHashValues++;
}
}
results.Results.SumIdenticalMinHash = similarMinHashValues;
results.Results.AverageIdenticalMinHash = (double) similarMinHashValues/(countDb*countQuery*minHashSignatureLen);
/*Group min hash signatures into LSH Buckets*/
List<Dictionary<int, long>> lshBucketsDb =
minHashDb.Select(item => minHash.GroupMinHashToLSHBuckets(item, hashTables, hashKeys)).ToList();
List<Dictionary<int, long>> lshBucketsQuery =
minHashQuery.Select(item => minHash.GroupMinHashToLSHBuckets(item, hashTables, hashKeys)).ToList();
int countSignatures = lshBucketsDb.Count;
sum = 0;
foreach (Dictionary<int, long> a in lshBucketsDb)
{
Dictionary<int, long>.ValueCollection aValues = a.Values;
foreach (Dictionary<int, long> b in lshBucketsQuery)
{
Dictionary<int, long>.ValueCollection bValues = b.Values;
hashesCount += aValues.Intersect(bValues).Count();
}
}
results.Results.SumJaqLSHBucketSimilarity = -1;
results.Results.AverageJaqLSHBucketSimilarity = -1;
results.Results.TotalIdenticalLSHBuckets = hashesCount;
}
/// <summary>
/// Get signature similarity between 2 different songs.
/// </summary>
/// <param name="service">
/// The service.
/// </param>
/// <param name="unitOfWork">
/// The unit Of Work.
/// </param>
/// <param name="unitOfWorkToCompareWith">
/// The unit Of Work To Compare With.
/// </param>
/// <param name="results">
/// The results.
/// </param>
private void GetFingerprintSimilarity(IFingerprintService service, IWorkUnit unitOfWork, IWorkUnit unitOfWorkToCompareWith, DumpResults results)
{
double sum = 0;
List<bool[]> imglista = unitOfWork.GetFingerprintsUsingService(service).Result;
List<bool[]> imglistb = unitOfWorkToCompareWith.GetFingerprintsUsingService(service).Result;
int count = imglista.Count > imglistb.Count ? imglistb.Count : imglista.Count;
double max = double.MinValue;
for (int i = 0; i < count; i++)
{
int j = i;
double value = MinHash.CalculateSimilarity(imglista[i], imglistb[j]);
if (value > max)
{
max = value;
}
sum += value;
}
results.SumJaqFingerprintSimilarityBetweenDiffertSongs = sum;
results.AverageJaqFingerprintsSimilarityBetweenDifferentSongs = sum / count;
results.MaxJaqFingerprintsSimilarityBetweenDifferentSongs = max;
}
/// <summary>
/// Dump information into file
/// </summary>
private void BtnDumpInfoClick(object sender, EventArgs e)
{
if (String.IsNullOrEmpty(_tbPathToFile.Text))
{
MessageBox.Show(Resources.ErrorNoFileToAnalyze, Resources.SelectFile, MessageBoxButtons.OK, MessageBoxIcon.Information);
return;
}
if (String.IsNullOrEmpty(_tbOutputPath.Text))
{
MessageBox.Show(Resources.SelectPathToDump, Resources.SelectFile, MessageBoxButtons.OK, MessageBoxIcon.Information);
return;
}
if (!File.Exists(Path.GetFullPath(_tbPathToFile.Text)))
{
MessageBox.Show(Resources.NoSuchFile, Resources.NoSuchFile, MessageBoxButtons.OK, MessageBoxIcon.Information);
return;
}
if (_chbCompare.Checked)
{
if (String.IsNullOrEmpty(_tbSongToCompare.Text))
{
MessageBox.Show(Resources.ErrorNoFileToAnalyze, Resources.SelectFile, MessageBoxButtons.OK, MessageBoxIcon.Information);
return;
}
}
Action action =
() =>
{
using (BassProxy proxy = new BassProxy())
{
FadeControls(false);
int minFreq = (int) _nudFreq.Value;
int topWavelets = (int) _nudTopWavelets.Value;
int stride = (int) _nudStride.Value;
IStride objStride = (_chbStride.Checked) ? (IStride) new RandomStride(0, stride) : new StaticStride(stride);
FingerprintManager manager = new FingerprintManager {MinFrequency = minFreq, TopWavelets = topWavelets};
DumpResults resultObj = new DumpResults();
string pathToInput = _tbPathToFile.Text;
string pathToOutput = _tbOutputPath.Text;
int hashTables = (int) _nudTables.Value;
int hashKeys = (int) _nudKeys.Value;
stride = (int) _nudQueryStride.Value;
int numFingerprints = (int) _nudNumberOfSubsequent.Value;
IStride queryStride = (_chbQueryStride.Checked) ? (IStride) new RandomStride(0, stride) : new StaticStride(stride);
queryStride = new StaticStride(5115, 5115/2);
GetFingerprintSimilarity(manager, objStride, queryStride, numFingerprints, proxy, pathToInput, resultObj);
GetHashSimilarity(manager, objStride, queryStride, numFingerprints, hashTables, hashKeys, proxy, pathToInput, resultObj);
if (_chbCompare.Checked)
{
string pathToDifferent = _tbSongToCompare.Text;
GetFingerprintSimilarity(manager, objStride, proxy, pathToInput, pathToDifferent, resultObj);
}
resultObj.Info.MinFrequency = minFreq;
resultObj.Info.TopWavelets = topWavelets;
resultObj.Info.StrideSize = stride;
resultObj.Info.RandomStride = _chbStride.Checked;
resultObj.Info.Filename = pathToInput;
resultObj.ComparisonDone = _chbCompare.Checked;
XmlSerializer serializer = new XmlSerializer(typeof (DumpResults));
TextWriter writer = new StreamWriter(pathToOutput);
serializer.Serialize(writer, resultObj);
writer.Close();
}
};
action.BeginInvoke(
(result) =>
{
action.EndInvoke(result);
FadeControls(true);
}, null);
}
/// <summary>
/// Get fingerprint similarity of one song
/// </summary>
/// <param name = "manager">Fingerprint manager used in file decomposition</param>
/// <param name = "dbstride">Database creation stride</param>
/// <param name = "queryStride">Query stride</param>
/// <param name = "numberOfItemsToCompare">Number of subsequent elements to compare with</param>
/// <param name = "proxy">Proxy</param>
/// <param name = "path">Path to first file</param>
/// <param name = "results">Results object to be filled with the corresponding data</param>
private static void GetFingerprintSimilarity(FingerprintManager manager, IStride dbstride, IStride queryStride, int numberOfItemsToCompare, IAudio proxy, string path, DumpResults results)
{
int startindex = 0;
int count = 0;
double sum = 0;
List<bool[]> list = manager.CreateFingerprints(proxy, path, dbstride);
List<bool[]> listToCompare = manager.CreateFingerprints(proxy, path, queryStride);
count = list.Count;
int toCompare = listToCompare.Count;
double max = double.MinValue;
for (int i = 0; i < count; i++)
{
for (int j = 0; j < toCompare; j++)
{
double value = MinHash.CalculateSimilarity(list[i], listToCompare[j]);
if (value > max)
max = value;
sum += value;
}
}
results.Results.SumJaqFingerprintsSimilarity = sum;
results.Results.AverageJaqFingerprintSimilarity = sum/(count*toCompare);
results.Results.MaxJaqFingerprintSimilarity = max;
}
/// <summary>
/// Get fingerprint similarity between 2 different songs.
/// </summary>
/// <param name = "manager">Fingerprint manager used in file decomposition</param>
/// <param name = "stride">Stride object parameter</param>
/// <param name = "proxy">Proxy to the audio object</param>
/// <param name = "path">Path to first file</param>
/// <param name = "differentPath">Path to different file</param>
/// <param name = "results">Results object to be filled with the corresponding data</param>
private static void GetFingerprintSimilarity(FingerprintManager manager, IStride stride, IAudio proxy, string path, string differentPath, DumpResults results)
{
int startindex = 0;
int count = 0;
double sum = 0;
List<bool[]> imglista = manager.CreateFingerprints(proxy, path, stride);
List<bool[]> imglistb = manager.CreateFingerprints(proxy, differentPath, stride);
count = imglista.Count > imglistb.Count ? imglistb.Count : imglista.Count;
double max = double.MinValue;
for (int i = 0; i < count; i++)
{
int j = i;
double value = MinHash.CalculateSimilarity(imglista[i], imglistb[j]);
if (value > max)
max = value;
sum += value;
}
results.SumJaqFingerprintSimilarityBetweenDiffertSongs = sum;
results.AverageJaqFingerprintsSimilarityBetweenDifferentSongs = sum/count;
results.MaxJaqFingerprintsSimilarityBetweenDifferentSongs = max;
}
