public static byte[] ExtractorNormalized(string key, SampleFingerprint fp)
{
return(PersistentCache.Get(Path.Combine("normalized-extractor-transparency-files", key), ExtractorPath(key, fp), () =>
{
return SerializationUtils.Normalize(TransparencyStats.ExtractorRow(fp, key).Mime, Extractor(key, fp));
}));
}
public static byte[] Serialized(SampleFingerprint fp)
{
return(PersistentCache.Get("templates", fp.Path + ".cbor", () =>
{
return new FingerprintTemplate(fp.Decode()).ToByteArray();
}));
}
public static byte[] Extractor(string key, SampleFingerprint fp)
{
return(PersistentCache.Get(Path.Combine("extractor-transparency-files", key), ExtractorPath(key, fp), () =>
{
using (var collector = new FileCollector(key))
{
new FingerprintTemplate(fp.Decode());
return collector.Files[0];
}
}));
}
public static Table ExtractorTable(SampleFingerprint fp)
{
return(PersistentCache.Get <Table>("extractor-transparency-stats", fp.Path, () =>
{
using (var collector = new TableCollector())
{
new FingerprintTemplate(fp.Decode());
return collector.Sum();
}
}));
}
public static TemplateFootprint Of(SampleFingerprint fp)
{
return(PersistentCache.Get("footprints", fp.Path, () =>
{
var footprint = new TemplateFootprint();
var serialized = NativeTemplate.Serialized(fp);
footprint.Count = 1;
footprint.Serialized = serialized.Length;
footprint.Hash = DataHash.Of(SerializationUtils.Normalize(serialized));
return footprint;
}));
}
public static Table ExtractorTable(SampleFingerprint fp)
{
return(PersistentCache.Get <Table>("extractor-transparency-stats", fp, () =>
{
var image = fp.Load();
using (var collector = new TableCollector())
{
new FingerprintTemplate(fp.Decode());
return collector.Accumulator.Summarize();
}
}));
}
public static ScalarAccuracy Of(SampleDataset dataset)
{
return(PersistentCache.Get("accuracy", dataset.Path, () =>
{
var trio = QuantileFunction.Of(dataset);
var accuracy = new ScalarAccuracy();
accuracy.Fmr100 = QuantileFunction.FnmrAtFmr(trio.Matching, trio.Nonmatching, 1.0 / 100);
accuracy.Fmr1K = QuantileFunction.FnmrAtFmr(trio.Matching, trio.Nonmatching, 1.0 / 1_000);
accuracy.Fmr10K = QuantileFunction.FnmrAtFmr(trio.Matching, trio.Nonmatching, 1.0 / 10_000);
accuracy.Eer = QuantileFunction.Eer(trio.Matching, trio.Nonmatching);
return accuracy;
}));
}
public static double[][] Of(SampleDataset dataset)
{
return(PersistentCache.Get("scores", dataset.Path, () =>
{
var fingerprints = dataset.Fingerprints;
var templates = fingerprints.Select(fp => NativeTemplate.Of(fp)).ToList();
var scores = new double[fingerprints.Count][];
foreach (var probe in fingerprints)
{
var matcher = new FingerprintMatcher(templates[probe.Id]);
scores[probe.Id] = new double[fingerprints.Count];
foreach (var candidate in fingerprints)
{
scores[probe.Id][candidate.Id] = matcher.Match(templates[candidate.Id]);
}
}
return scores;
}));
}
