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 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);
//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, task.SatyamURI, entry.ID.ToString(), job.FrameRate);
MultiObjectTrackingResult res = taskr.getCompressedTracksInTimeSegment();
List <string> ImageURLs = satyamStorage.getURLListOfSubDirectoryByURL(task.SatyamURI);
string[] names = task.SatyamURI.Split('/');
string videoName = names[names.Length - 2] + "_" + entry.ID;
generateVideoForEvaluation(ImageURLs, res, directoryName, videoName, job.FrameRate);
}
}
public static bool IsAcceptable(SatyamAggregatedResultsTableEntry aggEntry, SatyamResultsTableEntry result)
{
switch (result.JobTemplateType)
{
case TaskConstants.Classification_Image:
case TaskConstants.Classification_Image_MTurk:
case TaskConstants.Classification_Video:
case TaskConstants.Classification_Video_MTurk:
return(SingleObjectLabelingAggregator.IsAcceptable(aggEntry, result));
case TaskConstants.Counting_Image:
case TaskConstants.Counting_Image_MTurk:
case TaskConstants.Counting_Video:
case TaskConstants.Counting_Video_MTurk:
return(ObjectCountingAggregator.IsAcceptable(aggEntry, result));
case TaskConstants.Detection_Image:
case TaskConstants.Detection_Image_MTurk:
return(MultiObjectLocalizationAndLabelingAggregator.IsAcceptable(aggEntry, result));
case TaskConstants.Tracking:
case TaskConstants.Tracking_MTurk:
return(MultiObjectTrackingAggregator.IsAcceptable(aggEntry, result));
case TaskConstants.Segmentation_Image:
case TaskConstants.Segmentation_Image_MTurk:
return(ImageSegmentationAggregator.IsAcceptable(aggEntry, result));
case TaskConstants.OpenEndedQuestion_Image:
case TaskConstants.OpenEndedQuestion_Image_MTurk:
return(true); //TBD
case TaskConstants.TrackletLabeling:
case TaskConstants.TrackletLabeling_MTurk:
return(TrackletLabelingAggregator.IsAcceptable(aggEntry, result));
}
return(false);
}
//public static void Aggregate()
//{
// //first get all the results that are not aggregated
// SatyamResultsTableAccess resultsDB = new SatyamResultsTableAccess();
// List<SatyamResultsTableEntry> results = resultsDB.getEntriesByStatus();
// //first group all the results by the tasks since wach task may ahve multiple entries
// Dictionary<int, List<SatyamResultsTableEntry>> collectedResults = new Dictionary<int, List<SatyamResultsTableEntry>>();
// foreach (SatyamResultsTableEntry entry in results)
// {
// int taskID = entry.SatyamTaskTableEntryID;
// if (!collectedResults.ContainsKey(taskID))
// {
// collectedResults.Add(taskID, new List<SatyamResultsTableEntry>());
// }
// collectedResults[taskID].Add(entry);
// }
// //now aggreagate the results for eacht ask.
// List<int> taskIDList = collectedResults.Keys.ToList();
// List<SatyamAggregatedResultsTableEntry> aggEntries = new List<SatyamAggregatedResultsTableEntry>();
// foreach (int taskId in taskIDList)
// {
// SatyamAggregatedResultsTableEntry aggEntry = GetAggregatedResultString(taskId, collectedResults[taskId]);
// if (aggEntry != null)
// {
// aggEntries.Add(aggEntry);
// }
// }
// SatyamAggregatedResultsTableAccess aggDB = new SatyamAggregatedResultsTableAccess();
// aggDB.AddEntries(aggEntries);
// resultsDB.close();
// aggDB.close();
//}
public static SatyamAggregatedResultsTableEntry GetAggregatedResultString(int taskId, List <SatyamResultsTableEntry> resultEntries)
{
SatyamAggregatedResultsTableEntry aggEntry = null;
string templateType = resultEntries[0].JobTemplateType;
string aggResultString = null;
switch (templateType)
{
case TaskConstants.Classification_Image:
case TaskConstants.Classification_Image_MTurk:
case TaskConstants.Classification_Video:
case TaskConstants.Classification_Video_MTurk:
aggResultString = SingleObjectLabelingAggregator.GetAggregatedResultString(resultEntries);
break;
case TaskConstants.Counting_Image:
case TaskConstants.Counting_Image_MTurk:
case TaskConstants.Counting_Video:
case TaskConstants.Counting_Video_MTurk:
aggResultString = ObjectCountingAggregator.GetAggregatedResultString(resultEntries);
break;
case TaskConstants.Detection_Image:
case TaskConstants.Detection_Image_MTurk:
aggResultString = MultiObjectLocalizationAndLabelingAggregator.GetAggregatedResultString(resultEntries);
break;
case TaskConstants.Tracking:
aggResultString = null; //Done testing, marked null so it becomes a demo page.
break;
case TaskConstants.Tracking_MTurk:
aggResultString = MultiObjectTrackingAggregator.GetAggregatedResultString(resultEntries);
break;
case TaskConstants.TrackletLabeling:
case TaskConstants.TrackletLabeling_MTurk:
aggResultString = TrackletLabelingAggregator.GetAggregatedResultString(resultEntries);
break;
case TaskConstants.Segmentation_Image:
aggResultString = null; //Done testing, marked null so it becomes a demo page.
break;
case TaskConstants.Segmentation_Image_MTurk:
aggResultString = ImageSegmentationAggregator.GetAggregatedResultString(resultEntries);
break;
case TaskConstants.OpenEndedQuestion_Image:
case TaskConstants.OpenEndedQuestion_Image_MTurk:
break;
}
if (aggResultString != null)
{
aggEntry = new SatyamAggregatedResultsTableEntry();
aggEntry.JobGUID = resultEntries[0].JobGUID;
aggEntry.JobTemplateType = resultEntries[0].JobTemplateType;
aggEntry.SatyamTaskTableEntryID = resultEntries[0].SatyamTaskTableEntryID;
aggEntry.UserID = resultEntries[0].UserID;
aggEntry.ResultString = aggResultString;
}
return(aggEntry);
}
