187 lines
11 KiB
C#
187 lines
11 KiB
C#
using ShellProgressBar;
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using View_by_Distance.FaceRecognitionDotNet;
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using View_by_Distance.Map.Models;
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using View_by_Distance.Shared.Models;
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namespace View_by_Distance.Instance.Models;
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internal class E_Distance : Shared.Models.Methods.IFaceDistance
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{
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internal static void SaveFaceDistances(Property.Models.Configuration propertyConfiguration, string eResultsFullGroupDirectory, SortingContainer[] sortingContainers)
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{
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string eDistanceContentCollectionDirectory = Path.Combine(eResultsFullGroupDirectory, "([])");
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if (!Directory.Exists(eDistanceContentCollectionDirectory))
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_ = Directory.CreateDirectory(eDistanceContentCollectionDirectory);
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#pragma warning disable
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string[] results = (from l in sortingContainers select string.Concat(l.Sorting.WithinRange, '\t', l.Sorting.DistancePermyriad, '\t', l.Sorting.DaysDelta, '\t', l.Sorting.Id, '\t', l.Sorting.NormalizedPixelPercentage, '\t', l.Sorting.Older, '\t', l.Face.Mapping.MappingFromItem.Id, '\t', l.Face.Mapping.MappingFromLocation.NormalizedPixelPercentage)).ToArray();
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#pragma warning restore
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string eDistanceContentFileName = Path.Combine(eDistanceContentCollectionDirectory, $"{propertyConfiguration.ResultAllInOne}.tvs");
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File.WriteAllLines(eDistanceContentFileName, results);
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}
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private static List<Sorting> GetSortingCollection(Map.Models.Configuration configuration, MapLogic mapLogic, List<FaceDistance> faceDistanceEncodings, int faceDistanceContainersLength, int i, FaceDistance faceDistanceEncoding)
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{
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List<Sorting> results;
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List<FaceDistance> faceDistanceLengths = FaceRecognition.FaceDistances(faceDistanceEncodings, faceDistanceEncoding);
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if (faceDistanceLengths.Count != faceDistanceContainersLength)
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throw new NotSupportedException();
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bool anyLowerThanTolerance = (from l in faceDistanceLengths where l.Length is not null && l.Length.Value != 0 && l.Length.Value < configuration.FaceDistanceTolerance select true).Any();
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results = mapLogic.GetSortingCollection(i, faceDistanceEncoding, faceDistanceLengths, anyLowerThanTolerance);
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return results;
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}
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private static List<SortingContainer> GetSortingContainers(Map.Models.Configuration configuration, Face face, FaceDistance faceDistanceEncoding, List<Sorting> sortingCollection)
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{
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List<SortingContainer> results = new();
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SortingContainer sortingContainer;
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Sorting[] collection = Shared.Models.Stateless.Methods.ISorting.Sort(sortingCollection);
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foreach (Sorting sorting in collection)
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{
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if (face.Mapping is null || faceDistanceEncoding.NormalizedPixelPercentage is null)
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throw new NotSupportedException();
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if (face.Mapping.MappingFromLocation.Confidence < configuration.FaceDistanceMinimumConfidence || sorting.DistancePermyriad > configuration.FaceDistancePermyriad || sorting.DaysDelta > configuration.SortingDaysDeltaTolerance)
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continue;
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sortingContainer = new(face, sorting);
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results.Add(sortingContainer);
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if (results.Count >= configuration.SortingMaximumPerFaceShouldBeHigh)
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break;
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}
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return results;
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}
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private static List<FaceDistance> GetFaceDistanceEncodings(FaceDistanceContainer[] faceDistanceContainers)
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{
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List<FaceDistance> faceDistanceEncodings = new();
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foreach (FaceDistanceContainer faceDistanceContainer in faceDistanceContainers)
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{
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if (faceDistanceContainer.FaceDistance.Encoding is null)
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continue;
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faceDistanceEncodings.Add(faceDistanceContainer.FaceDistance);
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}
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return faceDistanceEncodings;
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}
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internal static SortingContainer[] SetFaceMappingSortingCollectionThenGetSortingContainers(int maxDegreeOfParallelism, Map.Models.Configuration configuration, long ticks, MapLogic mapLogic, List<Face> selectedFilteredFaces)
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{
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SortingContainer[] results;
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List<SortingContainer> collection = new();
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int totalSeconds = (int)Math.Floor(new TimeSpan(DateTime.Now.Ticks - ticks).TotalSeconds);
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ParallelOptions parallelOptions = new() { MaxDegreeOfParallelism = maxDegreeOfParallelism };
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FaceDistanceContainer[] faceDistanceContainers = GetFaceDistanceContainers(selectedFilteredFaces);
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List<FaceDistance> faceDistanceEncodings = GetFaceDistanceEncodings(faceDistanceContainers);
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string message = $") {faceDistanceContainers.Length:000} Get Sorting Containers Then Set Face Mapping Sorting Collection - {totalSeconds} total second(s)";
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ProgressBarOptions options = new() { ProgressCharacter = '─', ProgressBarOnBottom = true, DisableBottomPercentage = true };
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selectedFilteredFaces.Clear();
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using ProgressBar progressBar = new(faceDistanceContainers.Length, message, options);
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_ = Parallel.For(0, faceDistanceContainers.Length, parallelOptions, (i, state) =>
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{
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progressBar.Tick();
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Face face = faceDistanceContainers[i].Face;
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if (face.Mapping is null)
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throw new NotSupportedException();
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FaceDistance faceDistanceEncoding = faceDistanceContainers[i].FaceDistance;
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List<Sorting> sortingCollection = GetSortingCollection(configuration, mapLogic, faceDistanceEncodings, faceDistanceContainers.Length, i, faceDistanceEncoding);
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List<SortingContainer> sortingContainers = GetSortingContainers(configuration, face, faceDistanceEncoding, sortingCollection);
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lock (collection)
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collection.AddRange(sortingContainers);
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lock (face)
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face.ReleaseFaceDistance();
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});
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results = Shared.Models.Stateless.Methods.ISortingContainer.Sort(collection);
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return results;
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}
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private static FaceDistanceContainer[] GetFaceDistanceContainers(List<Face> selectedFilteredFaces)
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{
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FaceDistanceContainer[] results;
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FaceDistance faceDistance;
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FaceDistanceContainer faceDistanceContainer;
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List<FaceDistanceContainer> collection = new();
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foreach (Face face in selectedFilteredFaces)
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{
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if (face.Mapping is null)
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throw new NotSupportedException();
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if (face.FaceDistance?.Encoding is not FaceRecognitionDotNet.FaceEncoding faceEncoding)
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continue;
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faceDistance = new(face.Mapping.MappingFromLocation.Confidence, faceEncoding, face.Mapping.MappingFromItem.Id, face.Mapping.MappingFromItem.IsWrongYear, face.Mapping.MappingFromItem.MinimumDateTime, face.Mapping.MappingFromLocation.NormalizedPixelPercentage);
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faceDistanceContainer = new(face, faceDistance);
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collection.Add(faceDistanceContainer);
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}
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results = (from l in collection orderby l.FaceDistance.Encoding is not null select l).ToArray();
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if (results.Any() && results[0].FaceDistance.Encoding is null)
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throw new Exception("Sorting failed!");
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return results;
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}
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internal static List<Face> GetSelectedFilteredFaces(Map.Models.Configuration configuration, List<Face> distinctFilteredFaces)
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{
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List<Face> results;
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Face[] orderedFilteredFaces = (from l in distinctFilteredFaces orderby l.Mapping is not null, l.Mapping?.MappingFromItem.MinimumDateTime descending select l).ToArray();
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results = orderedFilteredFaces.Skip(configuration.SortingFacesToSkipAfterSortBeforeLoad).Take(configuration.SortingFacesToTakeAfterSortBeforeLoad).ToList();
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return results;
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}
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internal static void SetFaceDistances(int maxDegreeOfParallelism, long ticks, List<Face> selectedFilteredFaces)
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{
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int totalSeconds = (int)Math.Floor(new TimeSpan(DateTime.Now.Ticks - ticks).TotalSeconds);
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ParallelOptions parallelOptions = new() { MaxDegreeOfParallelism = maxDegreeOfParallelism };
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string message = $") {selectedFilteredFaces.Count:000} Load Face Encoding - {totalSeconds} total second(s)";
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ProgressBarOptions options = new() { ProgressCharacter = '─', ProgressBarOnBottom = true, DisableBottomPercentage = true };
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using ProgressBar progressBar = new(selectedFilteredFaces.Count, message, options);
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_ = Parallel.For(0, selectedFilteredFaces.Count, parallelOptions, (i, state) =>
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{
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progressBar.Tick();
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FaceDistance faceDistance;
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Face face = selectedFilteredFaces[i];
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FaceRecognitionDotNet.FaceEncoding faceEncoding;
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if (face.FaceEncoding is null || face.Mapping is null)
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throw new NotSupportedException();
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faceEncoding = FaceRecognition.LoadFaceEncoding(face.FaceEncoding.RawEncoding);
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faceDistance = new(face.Mapping.MappingFromLocation.Confidence, faceEncoding, face.Mapping.MappingFromItem.Id, face.Mapping.MappingFromItem.IsWrongYear, face.Mapping.MappingFromItem.MinimumDateTime, face.Mapping.MappingFromLocation.NormalizedPixelPercentage);
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lock (face)
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face.FaceDistanceAdd(faceDistance);
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});
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}
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List<Face> Shared.Models.Methods.IFaceDistance.GetMatchingFaces(double faceDistanceTolerance, string checkFile, List<Face> faces)
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{
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List<Face> results = new();
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Face face;
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FaceDistance faceDistanceLength;
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string json = File.ReadAllText(checkFile);
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List<(Face Face, double Length)> collection = new();
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Shared.Models.FaceEncoding? modelsFaceEncoding = System.Text.Json.JsonSerializer.Deserialize<Shared.Models.FaceEncoding>(json);
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if (modelsFaceEncoding is null)
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throw new NotSupportedException();
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FaceRecognitionDotNet.FaceEncoding faceRecognitionDotNetFaceEncoding = FaceRecognition.LoadFaceEncoding(modelsFaceEncoding.RawEncoding);
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FaceDistance faceDistanceEncoding = new(faceRecognitionDotNetFaceEncoding);
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FaceDistanceContainer[] faceDistanceContainers = GetFaceDistanceContainers(faces);
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int faceDistanceContainersLength = faceDistanceContainers.Length;
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if (faceDistanceContainersLength != faces.Count)
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throw new NotSupportedException();
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List<FaceDistance> faceDistanceEncodings = GetFaceDistanceEncodings(faceDistanceContainers);
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if (faceDistanceEncodings.Count != faces.Count)
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throw new NotSupportedException();
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List<FaceDistance> faceDistanceLengths = FaceRecognition.FaceDistances(faceDistanceEncodings, faceDistanceEncoding);
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if (faceDistanceLengths.Count != faceDistanceContainersLength)
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throw new NotSupportedException();
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for (int i = 0; i < faces.Count; i++)
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{
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face = faces[i];
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faceDistanceLength = faceDistanceLengths[i];
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if (face.Mapping is null || faceDistanceLength.Length is null)
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throw new NotSupportedException();
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if (faceDistanceLength.Length.Value > faceDistanceTolerance)
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continue;
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collection.Add(new(face, faceDistanceLength.Length.Value));
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}
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if (collection.Any())
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{
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collection = (from l in collection orderby l.Length select l).ToList();
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results.Add(collection[0].Face);
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}
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return results;
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}
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} |