public static void ValidatePascalVOCImageSegmentationResult_ClassLevel(
List <SatyamAggregatedResultsTableEntry> resultsPerImage,
List <double> IoUTresholds)
{
SortedDictionary <int, SatyamAggregatedResultsTableEntry> aggResults = new SortedDictionary <int, SatyamAggregatedResultsTableEntry>();
for (int i = 0; i < resultsPerImage.Count; i++)
{
int taskID = resultsPerImage[i].SatyamTaskTableEntryID;
aggResults.Add(taskID, resultsPerImage[i]);
}
SortedDictionary <double, int> tpPerIoU = new SortedDictionary <double, int>();
SortedDictionary <double, int> fpPerIoU = new SortedDictionary <double, int>();
SortedDictionary <double, int> fnPerIoU = new SortedDictionary <double, int>();
foreach (double iou in IoUTresholds)
{
tpPerIoU.Add(iou, 0);
fpPerIoU.Add(iou, 0);
fnPerIoU.Add(iou, 0);
}
foreach (int id in aggResults.Keys)
{
SatyamSaveAggregatedDataSatyam data = new SatyamSaveAggregatedDataSatyam(aggResults[id]);
string fileName = URIUtilities.filenameFromURINoExtension(data.SatyamURI);
PascalVOCSegmentationGroundTruth gt = new PascalVOCSegmentationGroundTruth(fileName);
Console.WriteLine("Results for {0}", fileName);
String resultString = data.AggregatedResultString;
ImageSegmentationAggregatedResult result = JSonUtils.ConvertJSonToObject <ImageSegmentationAggregatedResult>(resultString);
string PNG_URL = result.metaData.PNG_URL;
//List<List<double>> IoUs = gt.getIoUs(result.boxesAndCategories);
SortedDictionary <int, int> noGroundTruthPixels = new SortedDictionary <int, int>();
SortedDictionary <int, int> noDetectionPixels = new SortedDictionary <int, int>();
//List<List<double>> IoUs = gt.getIoUs(PNG_URL, out noDetectionPixels, out noGroundTruthPixels);
List <List <double> > IoUs = gt.getGTOverlaps(PNG_URL, out noDetectionPixels, out noGroundTruthPixels);
List <int> DetectionAreas = noDetectionPixels.Values.ToList();
List <int> GroundtruthAreas = noGroundTruthPixels.Values.ToList();
if (IoUs == null)
{
continue;
}
//double smallAreaToIgnore = 1000;//px
//double smallAreaToIgnore = 625;//px
double smallAreaToIgnore = 1600;//px
List <int> matchedDetections = new List <int>();
for (int i = 0; i < IoUs.Count; i++)
{
if (GroundtruthAreas[i] < smallAreaToIgnore)
{
continue;
}
List <double> ious = IoUs[i];
double maxIoU = 0;
int idx = -1;
for (int j = 0; j < ious.Count; j++)
{
if (ious[j] > maxIoU)
{
maxIoU = ious[j];
idx = j;
}
}
if (maxIoU == 0)
{
Console.WriteLine("No Match");
foreach (double iou in IoUTresholds)
{
fnPerIoU[iou]++;
}
continue;
}
if (DetectionAreas[idx] < smallAreaToIgnore)
{
continue;
}
Console.WriteLine("Match: {0}", maxIoU);
matchedDetections.Add(idx);
foreach (double iou in IoUTresholds)
{
if (maxIoU >= iou)
{
tpPerIoU[iou]++;
}
else
{
fpPerIoU[iou]++;
fnPerIoU[iou]++;
}
}
}
for (int j = 0; j < IoUs[0].Count; j++)
{
if (matchedDetections.Contains(j))
{
continue;
}
if (DetectionAreas[j] < smallAreaToIgnore)
{
continue;
}
double maxIoU = 0;
int idx = -1;
for (int i = 0; i < IoUs.Count; i++)
{
if (IoUs[i][j] > maxIoU)
{
maxIoU = IoUs[i][j];
idx = j;
}
}
bool alreadyCounted = false;
foreach (double iou in IoUTresholds)
{
if (maxIoU >= iou)
{
alreadyCounted = true; break;
}
}
if (alreadyCounted)
{
continue;
}
Console.WriteLine("No Groundtruth");
foreach (double iou in IoUTresholds)
{
fpPerIoU[iou]++;
}
}
}
double AvgPrec = 0;
foreach (double iou in IoUTresholds)
{
int tp = tpPerIoU[iou] + missingGroundTruth.Count;
int fp = fpPerIoU[iou] - missingGroundTruth.Count;
int fn = fnPerIoU[iou] - GroundTruthFilter.Count;
double ap = (double)tp / (double)(tp + fp + fn);
double prec = (double)tp / (double)(tp + fp);
double recl = (double)tp / (double)(tp + fn);
string ret = String.Format("TP: {0}, FP: {1}, FN {2}, AP, {3}, Precision, {4}, Recall, {5}", tp, fp, fn, ap, prec, recl);
Console.WriteLine(ret);
AvgPrec += prec;
}
AvgPrec /= IoUTresholds.Count;
Console.WriteLine("AvgPrec :{0}", AvgPrec);
}
public static string ValidatePascalVOCImageSegmentationResult_InstanceLevel(
List <SatyamAggregatedResultsTableEntry> resultsPerImage,
double IoUTreshold)
{
SortedDictionary <int, SatyamAggregatedResultsTableEntry> aggResults = new SortedDictionary <int, SatyamAggregatedResultsTableEntry>();
for (int i = 0; i < resultsPerImage.Count; i++)
{
int taskID = resultsPerImage[i].SatyamTaskTableEntryID;
aggResults.Add(taskID, resultsPerImage[i]);
}
int tp = 0;
int fp = 0;
int fn = 0;
foreach (int id in aggResults.Keys)
{
SatyamSaveAggregatedDataSatyam data = new SatyamSaveAggregatedDataSatyam(aggResults[id]);
string fileName = URIUtilities.filenameFromURINoExtension(data.SatyamURI);
PascalVOCSegmentationGroundTruth gt = new PascalVOCSegmentationGroundTruth(fileName);
Console.WriteLine("Results for {0}", fileName);
String resultString = data.AggregatedResultString;
ImageSegmentationAggregatedResult result = JSonUtils.ConvertJSonToObject <ImageSegmentationAggregatedResult>(resultString);
string PNG_URL = result.metaData.PNG_URL;
//List<List<double>> IoUs = gt.getIoUs(result.boxesAndCategories);
SortedDictionary <int, int> noGroundTruthPixels = new SortedDictionary <int, int>();
SortedDictionary <int, int> noDetectionPixels = new SortedDictionary <int, int>();
List <List <double> > IoUs = gt.getIoUs(PNG_URL, out noDetectionPixels, out noGroundTruthPixels);
List <int> DetectionAreas = noDetectionPixels.Values.ToList();
List <int> GroundtruthAreas = noGroundTruthPixels.Values.ToList();
if (IoUs == null)
{
continue;
}
MultipartiteWeightTensor matches = new MultipartiteWeightTensor(2);
matches.setNumPartitionElements(0, IoUs.Count);
matches.setNumPartitionElements(1, IoUs[0].Count);
double[,] array = new double[IoUs.Count, IoUs[0].Count];
for (int j = 0; j < IoUs.Count; j++)
{
for (int k = 0; k < IoUs[0].Count; k++)
{
array[j, k] = IoUs[j][k];
}
}
matches.setWeightMatrix(0, 1, array);
MultipartiteWeightedMatching.GreedyMean matching = new MultipartiteWeightedMatching.GreedyMean();
List <MultipartiteWeightedMatch> polygonAssociation = matching.getMatching(matches);
//double smallAreaToIgnore = 1000;//px
//double smallAreaToIgnore = 625;//px
double smallAreaToIgnore = 1600;//px
foreach (MultipartiteWeightedMatch match in polygonAssociation)
{
if (match.elementList.ContainsKey(0)) // this contains gt
{
if (GroundtruthAreas[match.elementList[0]] < smallAreaToIgnore)
{
continue;
}
if (match.elementList.ContainsKey(1)) // an aggregated result box has been associated
{
if (DetectionAreas[match.elementList[1]] < smallAreaToIgnore)
{
continue;
}
double IoU = IoUs[match.elementList[0]][match.elementList[1]];
Console.WriteLine("Match: {0}", IoU);
if (IoU >= IoUTreshold)
{
tp++;
}
else
{
fp++;
fn++;
}
}
else
{
Console.WriteLine("No Match");
fn++;
}
}
else
{
if (DetectionAreas[match.elementList[1]] < smallAreaToIgnore)
{
continue;
}
Console.WriteLine("No Groundtruth");
fp++;
}
}
}
double ap = (double)tp / (double)(tp + fp + fn);
double prec = (double)tp / (double)(tp + fp);
double recl = (double)tp / (double)(tp + fn);
string ret = String.Format("TP: {0}, FP: {1}, FN {2}, AP, {3}, Precision, {4}, Recall, {5}", tp, fp, fn, ap, prec, recl);
Console.WriteLine(ret);
return(ret);
}
