public static void SaveResultVideosLocally(List <SatyamResultsTableEntry> entries, string directoryName, int fps = 10) { directoryName = directoryName + "\\Raw"; if (!Directory.Exists(directoryName)) { Directory.CreateDirectory(directoryName); } SatyamJobStorageAccountAccess satyamStorage = new SatyamJobStorageAccountAccess(); for (int i = 0; i < entries.Count; i++) { SatyamResultsTableEntry entry = entries[i]; SatyamResult satyamResult = JSonUtils.ConvertJSonToObject <SatyamResult>(entry.ResultString); SatyamTask task = JSonUtils.ConvertJSonToObject <SatyamTask>(satyamResult.TaskParametersString); MultiObjectTrackingSubmittedJob job = JSonUtils.ConvertJSonToObject <MultiObjectTrackingSubmittedJob>(task.jobEntry.JobParameters); string blobDir = URIUtilities.localDirectoryFullPathFromURI(task.SatyamURI); //VATIC_DVA_CrowdsourcedResult taskr = new VATIC_DVA_CrowdsourcedResult(satyamResult.TaskResult, task.SatyamURI, start, end, task.SatyamJobSubmissionsTableEntryID.ToString()); VATIC_DVA_CrowdsourcedResult taskr = MultiObjectTrackingAggregator.createVATIC_DVA_CrowdsourcedResultUsingSatyamBlobImageCount(satyamResult.TaskResult, blobDir, entry.ID.ToString(), job.FrameRate); MultiObjectTrackingResult res = taskr.getCompressedTracksInTimeSegment(); List <string> ImageURLs = satyamStorage.getURLListOfSpecificExtensionUnderSubDirectoryByURI(blobDir, new List <string>() { "jpg", "png" }); string videoName = URIUtilities.localDirectoryNameFromURI(blobDir) + "_" + URIUtilities.filenameFromURINoExtension(task.SatyamURI) + "_" + entry.ID; MultiObjectTrackingAnalyzer.generateVideoForEvaluation(ImageURLs, res, directoryName, videoName, job.FrameRate); } }
public static void SaveAggregatedResultVideosLocally(List <SatyamAggregatedResultsTableEntry> entries, string directoryName) { directoryName = directoryName + "\\Aggregated"; if (!Directory.Exists(directoryName)) { Directory.CreateDirectory(directoryName); } SatyamJobStorageAccountAccess satyamStorage = new SatyamJobStorageAccountAccess(); for (int i = 0; i < entries.Count; i++) { SatyamAggregatedResultsTableEntry entry = entries[i]; SatyamAggregatedResult satyamAggResult = JSonUtils.ConvertJSonToObject <SatyamAggregatedResult>(entry.ResultString); SatyamTask aggTask = JSonUtils.ConvertJSonToObject <SatyamTask>(satyamAggResult.TaskParameters); MultiObjectTrackingSubmittedJob job = JSonUtils.ConvertJSonToObject <MultiObjectTrackingSubmittedJob>(aggTask.jobEntry.JobParameters); TrackletLabelingAggregatedResult aggresult = JSonUtils.ConvertJSonToObject <TrackletLabelingAggregatedResult>(satyamAggResult.AggregatedResultString); WebClient wb = new WebClient(); Stream aggTrackStream = wb.OpenRead(aggresult.AggregatedTrackletsString_URL); StreamReader reader = new StreamReader(aggTrackStream); String aggTrackString = reader.ReadToEnd(); MultiObjectTrackingResult aggTracks = JSonUtils.ConvertJSonToObject <MultiObjectTrackingResult>(aggTrackString); string blobDir = URIUtilities.localDirectoryFullPathFromURI(aggTask.SatyamURI); List <string> ImageURLs = satyamStorage.getURLListOfSpecificExtensionUnderSubDirectoryByURI(blobDir, new List <string>() { "jpg", "png" }); string videoName = URIUtilities.localDirectoryNameFromURI(blobDir) + "_" + URIUtilities.filenameFromURINoExtension(aggTask.SatyamURI) + "_" + entry.ID; MultiObjectTrackingAnalyzer.generateVideoForEvaluation(ImageURLs, aggTracks, directoryName, videoName, job.FrameRate); } }
private bool getNewRandomJob() { double price = 0; bool success = Double.TryParse(Hidden_Price.Value, out price); if (!success) { price = 0; } SatyamTaskTableAccess taskTableDB = new SatyamTaskTableAccess(); SatyamTaskTableEntry entry = null; if (Submit_Button.Enabled == true) { //entry = taskTableDB.getMinimumTriedNewEntryForWorkerIDByTemplateAndPrice(Hidden_AmazonWorkerID.Value, // TaskConstants.TrackletLabeling_MTurk, price); entry = taskTableDB.getTopKNewEntryForWorkerIDByTemplateAndPrice(50, Hidden_AmazonWorkerID.Value, TaskConstants.TrackletLabeling_MTurk, price); } else { entry = taskTableDB.getMinimumTriedEntryByTemplate(TaskConstants.TrackletLabeling_MTurk); } taskTableDB.close(); if (entry == null) { return(false); } taskTableDB = new SatyamTaskTableAccess(); taskTableDB.IncrementDoneScore(entry.ID); taskTableDB.close(); SatyamTask task = JSonUtils.ConvertJSonToObject <SatyamTask>(entry.TaskParametersString); SatyamJobStorageAccountAccess satyamStorage = new SatyamJobStorageAccountAccess(); string videoDir = URIUtilities.localDirectoryFullPathFromURI(task.SatyamURI); List <string> ImageURLs = satyamStorage.getURLListOfSpecificExtensionUnderSubDirectoryByURI(videoDir, new List <string>() { "jpg" }); string annotationFilePath = task.SatyamURI; //string urls = ""; //for (int i=0;i<ImageURLs.Count;i++) //{ // urls += ImageURLs[i]; // if (i == ImageURLs.Count - 1) break; // urls += ','; //} Hidden_ImageURLList.Value = ObjectsToStrings.ListString(ImageURLs, ','); SatyamJob jobDefinitionEntry = task.jobEntry; MultiObjectTrackingSubmittedJob job = JSonUtils.ConvertJSonToObject <MultiObjectTrackingSubmittedJob>(jobDefinitionEntry.JobParameters); Dictionary <string, List <string> > subcategories = job.Categories; List <string> categories = subcategories.Keys.ToList(); //CategorySelection_RakdioButtonList.Items.Clear(); for (int i = 0; i < categories.Count; i++) { ListItem l = new ListItem(categories[i]); //CategorySelection_RadioButtonList.Items.Add(l); } if (job.Description != "") { //DescriptionPanel.Visible = true; //DescriptionTextPanel.Controls.Add(new LiteralControl(job.Description)); } //Hidden_BoundaryLines.Value = JSonUtils.ConvertObjectToJSon(job.BoundaryLines); Hidden_TaskEntryString.Value = JSonUtils.ConvertObjectToJSon <SatyamTaskTableEntry>(entry); Hidden_PageLoadTime.Value = DateTime.Now.ToString(); // pass parameters from old template Slug_Hidden.Value = "null"; Start_Hidden.Value = "0"; Stop_Hidden.Value = (ImageURLs.Count - 1).ToString(); Skip_Hidden.Value = "0"; PerObject_Hidden.Value = "0.1"; Completion_Hidden.Value = "0.5"; BlowRadius_Hidden.Value = "0"; JobId_Hidden.Value = "1"; LabelString_Hidden.Value = ObjectsToStrings.ListString(categories.ToList(), ','); Attributes_Hidden.Value = ObjectsToStrings.DictionaryStringListString(subcategories, ',', ':', '_'); Training_Hidden.Value = "0"; fps_Hidden.Value = job.FrameRate.ToString(); Hidden_ChunkDuration.Value = job.ChunkDuration.ToString(); var web = new WebClient(); System.Drawing.Image x = System.Drawing.Image.FromStream(web.OpenRead(ImageURLs[0])); ImageWidth_Hidden.Value = x.Width.ToString(); ImageHeight_Hidden.Value = x.Height.ToString(); // image boundary for now //string[] region = new string[] { "0-0-1242-0-1242-375-0-375-0-0" }; string[] region = new string[] { "0-0-" + x.Width + "-0-" + x.Width + "-" + x.Height + "-0-" + x.Height + "-0-0" }; RegionString_Hidden.Value = ObjectsToStrings.ListString(region, ','); // temp test List <VATIC_Tracklet> prevTracesTemp = new List <VATIC_Tracklet>(); WebClient client = new WebClient(); Stream stream = client.OpenRead(annotationFilePath); StreamReader reader = new StreamReader(stream); List <string> trace = new List <string>(); while (reader.Peek() >= 0) { string content = reader.ReadLine(); trace.Add(content); } Dictionary <string, VATIC_Tracklet> tracklets = VATIC_Tracklet.ReadTrackletsFromVIRAT(trace); foreach (string id in tracklets.Keys) { //string output = JSonUtils.ConvertObjectToJSon(tracklets[id]); prevTracesTemp.Add(tracklets[id]); } string output = JSonUtils.ConvertObjectToJSon(prevTracesTemp); PreviousTrackString_Hidden.Value = output; return(true); }
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); }
public static MultiObjectTrackingResult stitchAllChunksAllObjectsOfOneVideo(List <SatyamAggregatedResultsTableEntry> entries, out List <string> ImageURLs, out int fps) { ImageURLs = new List <string>(); fps = 0; if (entries.Count == 0) { return(null); } SatyamJobStorageAccountAccess satyamStorage = new SatyamJobStorageAccountAccess(); MultiObjectTrackingResult stitched = new MultiObjectTrackingResult(); int totalFrameCounts = 0; // ensure the order is correct SortedDictionary <int, List <SatyamAggregatedResultsTableEntry> > sortedEntries = new SortedDictionary <int, List <SatyamAggregatedResultsTableEntry> >(); List <int> idx = new List <int>(); for (int i = 0; i < entries.Count; i++) { SatyamAggregatedResultsTableEntry entry = entries[i]; SatyamAggregatedResult satyamAggResult = JSonUtils.ConvertJSonToObject <SatyamAggregatedResult>(entry.ResultString); SatyamTask aggTask = JSonUtils.ConvertJSonToObject <SatyamTask>(satyamAggResult.TaskParameters); string video = URIUtilities.localDirectoryNameFromURI(aggTask.SatyamURI); string[] fields = video.Split('_'); int startingFrame = Convert.ToInt32(fields[fields.Length - 1]); if (!sortedEntries.ContainsKey(startingFrame)) { sortedEntries.Add(startingFrame, new List <SatyamAggregatedResultsTableEntry>()); idx.Add(startingFrame); } sortedEntries[startingFrame].Add(entries[i]); } idx.Sort(); List <string> AggObjIds = new List <string>(); for (int i = 0; i < idx.Count; i++) { int noFramesOverlap = 0; string blobDir = ""; // grouping all objects that belong to the same chunk MultiObjectTrackingResult aggTracksOfAllObjectsPerChunk = new MultiObjectTrackingResult(); List <string> objIds = new List <string>(); for (int j = 0; j < sortedEntries[idx[i]].Count; j++) { SatyamAggregatedResultsTableEntry entry = sortedEntries[idx[i]][j]; SatyamAggregatedResult satyamAggResult = JSonUtils.ConvertJSonToObject <SatyamAggregatedResult>(entry.ResultString); SatyamTask aggTask = JSonUtils.ConvertJSonToObject <SatyamTask>(satyamAggResult.TaskParameters); MultiObjectTrackingSubmittedJob job = JSonUtils.ConvertJSonToObject <MultiObjectTrackingSubmittedJob>(aggTask.jobEntry.JobParameters); if (job.ChunkOverlap != 0.0) { noFramesOverlap = (int)(job.ChunkOverlap * job.FrameRate); } fps = job.FrameRate; blobDir = URIUtilities.localDirectoryFullPathFromURI(aggTask.SatyamURI); string objId = URIUtilities.filenameFromURINoExtension(aggTask.SatyamURI); objIds.Add(objId); TrackletLabelingAggregatedResult aggresult = JSonUtils.ConvertJSonToObject <TrackletLabelingAggregatedResult>(satyamAggResult.AggregatedResultString); WebClient wb = new WebClient(); Stream aggTrackStream = wb.OpenRead(aggresult.AggregatedTrackletsString_URL); StreamReader reader = new StreamReader(aggTrackStream); String aggTrackString = reader.ReadToEnd(); MultiObjectTrackingResult aggTracks = JSonUtils.ConvertJSonToObject <MultiObjectTrackingResult>(aggTrackString); if (aggTracksOfAllObjectsPerChunk.tracks.Count == 0) { aggTracksOfAllObjectsPerChunk = aggTracks; } else { for (int k = 0; k < aggTracks.tracks.Count; k++) { aggTracksOfAllObjectsPerChunk.tracks.Add(aggTracks.tracks[k]); } } } List <string> TraceURLs = satyamStorage.getURLListOfSpecificExtensionUnderSubDirectoryByURI(blobDir, new List <string>() { "jpg", "png" }); if (i == 0) { ImageURLs.AddRange(TraceURLs); stitched = aggTracksOfAllObjectsPerChunk; totalFrameCounts += TraceURLs.Count; AggObjIds = objIds; } else { int noNewFrames = 0; for (int j = noFramesOverlap; j < TraceURLs.Count; j++) { ImageURLs.Add(TraceURLs[j]); noNewFrames++; } //stitched = MultiObjectTrackingAnalyzer.stitchTwoTracesByTubeletsOfOverlappingVideoChunk(stitched, // aggTracksOfAllObjectsPerChunk, totalFrameCounts, totalFrameCounts + noNewFrames, noFramesOverlap, fps); // postpone the agg trace double frameTimeInMiliSeconds = (double)1000 / (double)fps; double timeToPostponeInMilliSeconds = (double)(totalFrameCounts - noFramesOverlap) * frameTimeInMiliSeconds; //TimeSpan timeSpanToPostponeInSeconds = new TimeSpan(0,0,0,0, (int)timeToPostponeInMilliSeconds); TimeSpan timeSpanToPostponeInSeconds = DateTimeUtilities.getTimeSpanFromTotalMilliSeconds((int)timeToPostponeInMilliSeconds); aggTracksOfAllObjectsPerChunk.postpone(timeSpanToPostponeInSeconds); // overlap must be 0 for (int k = 0; k < aggTracksOfAllObjectsPerChunk.tracks.Count; k++) { if (!AggObjIds.Contains(objIds[k])) { stitched.tracks.Add(aggTracksOfAllObjectsPerChunk.tracks[k]); AggObjIds.Add(objIds[k]); } else { // stitch the track for the same id int tckIdx = AggObjIds.IndexOf(objIds[k]); stitched.tracks[tckIdx] = CompressedTrack.stitchTwoAdjacentTrack(stitched.tracks[tckIdx], aggTracksOfAllObjectsPerChunk.tracks[k]); } } totalFrameCounts += noNewFrames; } //debug //generateVideoForEvaluation(ImageURLs, stitched, directoryName + "_" + i, videoName, fps); } return(stitched); }