/// <summary>
/// Returns the image mean for the ImageSet.
/// </summary>
/// <param name="log">Specifies the Log used to output status.</param>
/// <param name="rgAbort">Specifies a set of wait handles for aborting the operation.</param>
/// <param name="bQueryOnly">Specifies whether or not to only query for the mean and not calculate if missing.</param>
/// <returns>The SimpleDatum with the image mean is returned.</returns>
public SimpleDatum GetImageMean(Log log, WaitHandle[] rgAbort, bool bQueryOnly)
{
if (m_imgMean != null || bQueryOnly)
{
return(m_imgMean);
}
int nLoadedCount = GetLoadedCount();
int nTotalCount = GetTotalCount();
if (nLoadedCount < nTotalCount)
{
double dfPct = (double)nLoadedCount / (double)nTotalCount;
if (log != null)
{
log.WriteLine("WARNING: Cannot create the image mean until all images have loaded - the data is currently " + dfPct.ToString("P") + " loaded.");
}
return(null);
}
if (OnCalculateImageMean != null)
{
CalculateImageMeanArgs args = new CalculateImageMeanArgs(m_rgImages);
OnCalculateImageMean(this, args);
if (args.Cancelled)
{
return(null);
}
m_imgMean = args.ImageMean;
return(m_imgMean);
}
RawImageMean imgMean = m_factory.GetRawImageMean();
if (m_imgMean != null)
{
m_imgMean = m_factory.LoadDatum(imgMean);
}
else
{
log.WriteLine("Calculating mean...");
m_imgMean = SimpleDatum.CalculateMean(log, m_rgImages, rgAbort);
m_factory.PutRawImageMean(m_imgMean, true);
}
m_imgMean.SetLabel(0);
return(m_imgMean);
}
/// <summary>
/// Returns the image mean for the ImageSet.
/// </summary>
/// <param name="log">Specifies the Log used to output status.</param>
/// <param name="rgAbort">Specifies a set of wait handles for aborting the operation.</param>
/// <returns>The SimpleDatum with the image mean is returned.</returns>
public SimpleDatum GetImageMean(Log log, WaitHandle[] rgAbort)
{
if (m_imgMean != null)
{
return(m_imgMean);
}
if (m_rgImages.Length == 0)
{
if (log != null)
{
log.WriteLine("WARNING: Cannot create image mean with no images!");
}
return(null);
}
if (m_loadMethod != IMAGEDB_LOAD_METHOD.LOAD_ALL)
{
throw new Exception("Can only create image mean when using LOAD_ALL.");
}
if (m_nLoadLimit != 0)
{
throw new Exception("Can only create image mean when LoadLimit = 0.");
}
if (OnCalculateImageMean != null)
{
CalculateImageMeanArgs args = new CalculateImageMeanArgs(m_rgImages);
OnCalculateImageMean(this, args);
if (args.Cancelled)
{
return(null);
}
m_imgMean = args.ImageMean;
return(m_imgMean);
}
m_imgMean = SimpleDatum.CalculateMean(log, m_rgImages, rgAbort);
m_imgMean.SetLabel(0);
return(m_imgMean);
}
private bool loadXmlAnnotationFile(Log log, string strFile, SimpleDatum datum, Dictionary <string, int> rgNameToLabel)
{
XDocument doc = XDocument.Load(strFile);
XElement size = doc.Descendants("size").First();
XElement val;
val = size.Descendants("width").First();
int nWidth = int.Parse(val.Value);
val = size.Descendants("height").First();
int nHeight = int.Parse(val.Value);
val = size.Descendants("depth").First();
int nChannels = int.Parse(val.Value);
if (datum.Height != nHeight || datum.Width != nWidth || datum.Channels != nChannels)
{
log.FAIL("Inconsistent image size, expected (" + datum.Channels.ToString() + "," + datum.Height.ToString() + "," + datum.Width.ToString() + ") but annotation has size (" + nChannels.ToString() + "," + nHeight.ToString() + "," + nWidth.ToString() + ").");
}
int nInstanceId = 0;
List <XElement> objects = doc.Descendants("object").ToList();
foreach (XElement obj in objects)
{
val = obj.Descendants("name").First();
string strName = val.Value;
val = obj.Descendants("difficult").First();
bool bDifficult = (val.Value == "0") ? false : true;
XElement bndbox = obj.Descendants("bndbox").First();
val = bndbox.Descendants("xmin").First();
float fxmin = float.Parse(val.Value);
if (fxmin > nWidth || fxmin < 0)
{
log.WriteLine("WARNING: '" + strFile + "' bounding box exceeds image boundary.");
}
val = bndbox.Descendants("ymin").First();
float fymin = float.Parse(val.Value);
if (fymin > nHeight || fymin < 0)
{
log.WriteLine("WARNING: '" + strFile + "' bounding box exceeds image boundary.");
}
val = bndbox.Descendants("xmax").First();
float fxmax = float.Parse(val.Value);
if (fxmax > nWidth || fxmax < 0)
{
log.WriteLine("WARNING: '" + strFile + "' bounding box exceeds image boundary.");
}
val = bndbox.Descendants("ymax").First();
float fymax = float.Parse(val.Value);
if (fymax > nHeight || fymax < 0)
{
log.WriteLine("WARNING: '" + strFile + "' bounding box exceeds image boundary.");
}
if (!rgNameToLabel.ContainsKey(strName))
{
log.FAIL("Could not find the label '" + strName + "' in the label mapping!");
return(false);
}
int nLabel = rgNameToLabel[strName];
NormalizedBBox bbox = new NormalizedBBox(fxmin / nWidth, fymin / nHeight, fxmax / nWidth, fymax / nHeight, nLabel, bDifficult);
datum.SetLabel(nLabel);
foreach (AnnotationGroup g in datum.annotation_group)
{
if (nLabel == g.group_label)
{
if (g.annotations.Count == 0)
{
nInstanceId = 0;
}
else
{
nInstanceId = g.annotations[g.annotations.Count - 1].instance_id + 1;
}
g.annotations.Add(new Annotation(bbox, nInstanceId));
bbox = null;
break;
}
}
if (bbox != null)
{
nInstanceId = 0;
AnnotationGroup grp = new AnnotationGroup(null, nLabel);
grp.annotations.Add(new Annotation(bbox, nInstanceId));
datum.annotation_group.Add(grp);
bbox = null;
}
}
return(true);
}