public static void AggregateWithParameter(string guid,
int MinResults = TaskConstants.TRACKLET_LABELING_MTURK_MIN_RESULTS_TO_AGGREGATE,
int MaxResults = TaskConstants.TRACKLET_LABELING_MTURK_MAX_RESULTS_TO_AGGREGATE,
double boxToleranceThreshold = TaskConstants.TRACKLET_LABELING_BOX_DEVIATION_THRESHOLD,
double ObjectCoverageApprovalThresholdPerVideo = TaskConstants.TRACKLET_LABELING_APPROVALRATIO_PER_VIDEO,
double BoxCoverageApprovalThresholdPerTrack = TaskConstants.TRACKLET_LABELING_APPROVALRATIO_PER_TRACK,
int consensusNumber = TaskConstants.TRACKLET_LABELING_MIN_RESULTS_FOR_CONSENSUS,
double minTubeletIoUSimilarityThreshold = TaskConstants.TRACKLET_LABELING_MIN_TUBELET_SIMILARITY_THRESHOLD,
double attributeMajority = TaskConstants.TRACKLET_LABELING_MTURK_ATTRIBUTE_MAJORITY_THRESHOLD,
bool allFalseAttributeInvalid = false
)
{
string configString = "Min_" + MinResults + "_Max_" + MaxResults + "_IoU_" + minTubeletIoUSimilarityThreshold + "_Ratio_" + ObjectCoverageApprovalThresholdPerVideo;
Console.WriteLine("Aggregating for " + guid + " with param set " + configString);
SatyamResultsTableAccess resultsDB = new SatyamResultsTableAccess();
List <SatyamResultsTableEntry> entries = resultsDB.getEntriesByGUID(guid);
resultsDB.close();
SortedDictionary <DateTime, List <SatyamResultsTableEntry> > entriesBySubmitTime = SatyamResultValidationToolKit.SortResultsBySubmitTime_OneResultPerTurkerPerTask(entries);
Dictionary <int, List <MultiObjectTrackingResult> > ResultsPerTask = new Dictionary <int, List <MultiObjectTrackingResult> >();
List <int> aggregatedTasks = new List <int>();
int noTotalConverged = 0;
//int noCorrect = 0;
int noTerminatedTasks = 0;
List <SatyamAggregatedResultsTableEntry> aggEntries = new List <SatyamAggregatedResultsTableEntry>();
Dictionary <int, int> noResultsNeededForAggregation = SatyamResultsAnalysis.getNoResultsNeededForAggregationFromLog(configString, guid);
Dictionary <int, int> noResultsNeededForAggregation_new = new Dictionary <int, int>();
// play back by time
Dictionary <int, List <string> > WorkersPerTask = new Dictionary <int, List <string> >();
foreach (DateTime t in entriesBySubmitTime.Keys)
{
//Console.WriteLine("Processing Results of time: {0}", t);
List <SatyamResultsTableEntry> ResultEntries = entriesBySubmitTime[t];
foreach (SatyamResultsTableEntry entry in ResultEntries)
{
SatyamResult satyamResult = JSonUtils.ConvertJSonToObject <SatyamResult>(entry.ResultString);
SatyamTask task = JSonUtils.ConvertJSonToObject <SatyamTask>(satyamResult.TaskParametersString);
MultiObjectTrackingSubmittedJob job = JSonUtils.ConvertJSonToObject <MultiObjectTrackingSubmittedJob>(task.jobEntry.JobParameters);
string fileName = URIUtilities.filenameFromURINoExtension(task.SatyamURI);
int taskEntryID = entry.SatyamTaskTableEntryID;
if (aggregatedTasks.Contains(taskEntryID))
{
continue;
}
if (!ResultsPerTask.ContainsKey(taskEntryID))
{
ResultsPerTask.Add(taskEntryID, new List <MultiObjectTrackingResult>());
WorkersPerTask.Add(taskEntryID, new List <string>());
}
// remove duplicate workers result
string workerID = satyamResult.amazonInfo.WorkerID;
if (WorkersPerTask[taskEntryID].Contains(workerID))
{
continue;
}
//enclose only non-duplicate results, one per each worker.
WorkersPerTask[taskEntryID].Add(workerID);
string videoName = URIUtilities.localDirectoryNameFromURI(task.SatyamURI);
string[] fields = videoName.Split('_');
int startingFrame = Convert.ToInt32(fields[fields.Length - 1]);
int maxChunkEndFrame = startingFrame + job.ChunkDuration * job.FrameRate;
int noFrameOverlap = (int)(job.ChunkOverlap * job.FrameRate);
if (startingFrame != 0)
{
startingFrame -= noFrameOverlap;
}
string blobDir = URIUtilities.localDirectoryFullPathFromURI(task.SatyamURI);
VATIC_DVA_CrowdsourcedResult taskr = TrackletLabelingAggregator.createVATIC_DVA_CrowdsourcedResultUsingSatyamBlobImageCount(satyamResult.TaskResult, blobDir, entry.SatyamTaskTableEntryID.ToString(), job.FrameRate);
//MultiObjectTrackingResult result_tmp = vatic_tmp.getCompressedTracksInTimeSegment();
//VATIC_DVA_CrowdsourcedResult taskr = new VATIC_DVA_CrowdsourcedResult(satyamResult.TaskResult, videoName, entry.ID.ToString(), ImageURLs.Count, job.FrameRate);
MultiObjectTrackingResult res = taskr.getCompressedTracksInTimeSegment();
if (allFalseAttributeInvalid)
{
if (TrackletLabelingAggregator.AllAttributeAllFalse(res))
{
continue;
}
}
ResultsPerTask[taskEntryID].Add(res);
// check log if enough results are collected
if (noResultsNeededForAggregation != null && noResultsNeededForAggregation.ContainsKey(taskEntryID) &&
ResultsPerTask[taskEntryID].Count < noResultsNeededForAggregation[taskEntryID])
{
continue;
}
// hack for masters
int tempMin = MinResults;
if (TaskConstants.masterGUIDs.Contains(entry.JobGUID))
{
tempMin = 1;
}
TrackletLabelingAggregatedResult aggResult = TrackletLabelingAggregator.getAggregatedResult(ResultsPerTask[taskEntryID],
guid, task.SatyamURI,
job.FrameRate, job.BoundaryLines,
MinResults, MaxResults, boxToleranceThreshold,
ObjectCoverageApprovalThresholdPerVideo,
BoxCoverageApprovalThresholdPerTrack,
consensusNumber, minTubeletIoUSimilarityThreshold,
attributeMajority);
if (aggResult == null)
{
continue;
}
//////////////// aggregation happen
// record logs
if (noResultsNeededForAggregation == null || !noResultsNeededForAggregation.ContainsKey(taskEntryID))
{
noResultsNeededForAggregation_new.Add(taskEntryID, ResultsPerTask[taskEntryID].Count);
}
aggregatedTasks.Add(taskEntryID);
noTotalConverged++;
if (ResultsPerTask[taskEntryID].Count >= MaxResults)
{
noTerminatedTasks++;
}
SatyamAggregatedResult SatyamAggResult = new SatyamAggregatedResult();
SatyamAggResult.SatyamTaskTableEntryID = taskEntryID;
SatyamAggResult.AggregatedResultString = JSonUtils.ConvertObjectToJSon <TrackletLabelingAggregatedResult>(aggResult);
SatyamAggResult.TaskParameters = JSonUtils.ConvertJSonToObject <SatyamResult>(entry.ResultString).TaskParametersString;
SatyamAggregatedResultsTableEntry aggEntry = new SatyamAggregatedResultsTableEntry();
aggEntry.SatyamTaskTableEntryID = taskEntryID;
aggEntry.JobGUID = entry.JobGUID;
aggEntry.ResultString = JSonUtils.ConvertObjectToJSon <SatyamAggregatedResult>(SatyamAggResult);
aggEntries.Add(aggEntry);
}
}
Console.WriteLine("Total_Aggregated_Tasks: {0}", noTotalConverged);
Console.WriteLine("Total_Terminated_Tasks: {0}", noTerminatedTasks);
SatyamResultsAnalysis.RecordAggregationLog(noResultsNeededForAggregation_new, configString, guid);
TrackletLabelingAnalyzer.GroupEntriesByVideoNameAndStitchAndSaveAggregatedResultVideosLocally(aggEntries, DirectoryConstants.defaultTempDirectory + guid);
}
/// <summary>
/// function generalizable.. TODO... to all tasks
/// </summary>
/// <param name="guids"></param>
/// <param name="IoUTreshold"></param>
/// <param name="saveImage"></param>
/// <param name="outputDirectory"></param>
/// <param name="MinResults"></param>
/// <param name="MaxResults"></param>
/// <param name="CategoryMajorityThreshold"></param>
/// <param name="PolygonBoundaryMajorityThreshold"></param>
/// <param name="ObjectsCoverageThreshold"></param>
/// <param name="overwrite"></param>
/// <param name="approvalAnalysis"></param>
public static void AggregateWithParameterAndValidatePascalVOCImageSegmentationByGUID(List <string> guids,
double IoUTreshold,
bool saveImage = false, string outputDirectory = null,
int MinResults = TaskConstants.IMAGE_SEGMENTATION_MTURK_MIN_RESULTS_TO_AGGREGATE,
int MaxResults = TaskConstants.IMAGE_SEGMENTATION_MTURK_MAX_RESULTS_TO_AGGREGATE,
double CategoryMajorityThreshold = TaskConstants.IMAGE_SEGMENTATION_MTURK_MAJORITY_CATEGORY_THRESHOLD,
double PolygonBoundaryMajorityThreshold = TaskConstants.IMAGE_SEGMENTATION_MTURK_MAJORITY_POLYGON_BOUNDARY_THRESHOLD,
double ObjectsCoverageThreshold = TaskConstants.IMAGE_SEGMENTATION_MTURK_OBJECT_COVERAGE_THRESHOLD_FOR_AGGREGATION_TERMINATION,
double minSimilarityThreshold = TaskConstants.IMAGE_SEGMENTATION_MTURK_POLYGON_IOU_THRESHOLD,
int minResultsForConsensus = TaskConstants.IMAGE_SEGMENTATION_MTURK_MIN_RESULTS_FOR_CONSENSUS,
bool overwrite = false,
bool approvalAnalysis = false)
{
string configString = "Min_" + MinResults + "_Max_" + MaxResults + "_Majority_" + PolygonBoundaryMajorityThreshold + "_Ratio_" + ObjectsCoverageThreshold;
Console.WriteLine("Aggregating for param set " + configString);
if (!overwrite && File.Exists(DirectoryConstants.defaultTempDirectory + "\\ImageSegmentationResult\\" + configString + ".txt"))
{
return;
}
SatyamResultsTableAccess resultsDB = new SatyamResultsTableAccess();
Dictionary <int, List <string> > WorkersPerTask = new Dictionary <int, List <string> >();
List <SatyamResultsTableEntry> entries = new List <SatyamResultsTableEntry>();
foreach (string guid in guids)
{
entries.AddRange(resultsDB.getEntriesByGUIDOrderByID(guid));
}
resultsDB.close();
SortedDictionary <DateTime, List <SatyamResultsTableEntry> > entriesBySubmitTime =
SatyamResultValidationToolKit.SortResultsBySubmitTime_OneResultPerTurkerPerTask(entries);
Dictionary <int, List <ImageSegmentationResult> > ResultsPerTask = new Dictionary <int, List <ImageSegmentationResult> >();
List <int> aggregatedTasks = new List <int>();
int noTotalConverged = 0;
//int noCorrect = 0;
int noTerminatedTasks = 0;
List <SatyamAggregatedResultsTableEntry> aggEntries = new List <SatyamAggregatedResultsTableEntry>();
Dictionary <int, int> noResultsNeededForAggregation = SatyamResultsAnalysis.getNoResultsNeededForAggregationFromLog(configString, guids[0]);
Dictionary <int, int> noResultsNeededForAggregation_new = new Dictionary <int, int>();
// play back by time
foreach (DateTime t in entriesBySubmitTime.Keys)
{
//Console.WriteLine("Processing Results of time: {0}", t);
List <SatyamResultsTableEntry> ResultEntries = entriesBySubmitTime[t];
foreach (SatyamResultsTableEntry entry in ResultEntries)
{
SatyamResult satyamResult = JSonUtils.ConvertJSonToObject <SatyamResult>(entry.ResultString);
SatyamTask task = JSonUtils.ConvertJSonToObject <SatyamTask>(satyamResult.TaskParametersString);
SatyamJob job = task.jobEntry;
string fileName = URIUtilities.filenameFromURINoExtension(task.SatyamURI);
int taskEntryID = entry.SatyamTaskTableEntryID;
if (aggregatedTasks.Contains(taskEntryID))
{
continue;
}
if (!ResultsPerTask.ContainsKey(taskEntryID))
{
ResultsPerTask.Add(taskEntryID, new List <ImageSegmentationResult>());
}
ResultsPerTask[taskEntryID].Add(JSonUtils.ConvertJSonToObject <ImageSegmentationResult>(satyamResult.TaskResult));
// check log if enough results are collected
if (noResultsNeededForAggregation != null && noResultsNeededForAggregation.ContainsKey(taskEntryID) &&
ResultsPerTask[taskEntryID].Count < noResultsNeededForAggregation[taskEntryID])
{
continue;
}
ImageSegmentationAggregatedResult aggResult = ImageSegmentationAggregator.getAggregatedResult(
ResultsPerTask[taskEntryID], task.SatyamURI, entry.JobGUID,
MinResults, MaxResults, CategoryMajorityThreshold,
PolygonBoundaryMajorityThreshold, ObjectsCoverageThreshold,
minSimilarityThreshold, minResultsForConsensus);
if (aggResult == null)
{
continue;
}
// aggregation happen
// record logs
if (noResultsNeededForAggregation == null || !noResultsNeededForAggregation.ContainsKey(taskEntryID))
{
noResultsNeededForAggregation_new.Add(taskEntryID, ResultsPerTask[taskEntryID].Count);
}
aggregatedTasks.Add(taskEntryID);
noTotalConverged++;
if (ResultsPerTask[taskEntryID].Count >= MaxResults)
{
noTerminatedTasks++;
}
SatyamAggregatedResult SatyamAggResult = new SatyamAggregatedResult();
SatyamAggResult.SatyamTaskTableEntryID = taskEntryID;
SatyamAggResult.AggregatedResultString = JSonUtils.ConvertObjectToJSon <ImageSegmentationAggregatedResult>(aggResult);
SatyamAggResult.TaskParameters = JSonUtils.ConvertJSonToObject <SatyamResult>(entry.ResultString).TaskParametersString;
SatyamAggregatedResultsTableEntry aggEntry = new SatyamAggregatedResultsTableEntry();
aggEntry.SatyamTaskTableEntryID = taskEntryID;
aggEntry.JobGUID = entry.JobGUID;
aggEntry.ResultString = JSonUtils.ConvertObjectToJSon <SatyamAggregatedResult>(SatyamAggResult);
aggEntries.Add(aggEntry);
List <SatyamAggregatedResultsTableEntry> tmpEntries = new List <SatyamAggregatedResultsTableEntry>();
tmpEntries.Add(aggEntry);
//ValidateSatyamKITTIDetectionAggregationResult(tmpEntries, saveImage, MinHeight, MaxOcclusion, Max_Truncation);
}
}
Console.WriteLine("Total_Aggregated_Tasks: {0}", noTotalConverged);
Console.WriteLine("Total_Terminated_Tasks: {0}", noTerminatedTasks);
SatyamResultsAnalysis.RecordAggregationLog(noResultsNeededForAggregation_new, configString, guids[0]);
string r = ValidatePascalVOCImageSegmentationResult_InstanceLevel(aggEntries, IoUTreshold);
r = noTotalConverged + " " + noTerminatedTasks + " " + r;
File.WriteAllText(DirectoryConstants.defaultTempDirectory + "\\ImageSegmentationResult\\" + configString + ".txt", r);
if (approvalAnalysis)
{
string approvalString = configString + "_PayCover_" + TaskConstants.IMAGE_SEGMENTATION_MTURK_OBJECT_COVERAGE_THRESHOLD_FOR_PAYMENT +
"_PayIoU_" + TaskConstants.IMAGE_SEGMENTATION_MTURK_POLYGON_IOU_THRESHOLD_FOR_PAYMENT;
//for (double ratio = 0; ratio < 1; ratio += 0.2)
//{
// SatyamResultsAnalysis.AnalyzeApprovalRate(aggEntries, entriesBySubmitTime, noResultsNeededForAggregation, noResultsNeededForAggregation_new, guids[0], configString, approvalRatioThreshold: ratio);
//}
SatyamResultsAnalysis.AggregationAnalysis(aggEntries, entriesBySubmitTime, noResultsNeededForAggregation, noResultsNeededForAggregation_new, guids[0], configString);
}
}