/// <summary>
/// Renders the deep draw image(s) depending on the Octave's installed.
/// </summary>
/// <param name="bmpInput">Specifies the input image.</param>
/// <param name="nFocusLabel">Specifies a label to focus on (use this when running on classifying layers).</param>
/// <param name="dfDetailPercentageToOutput">Optionally, specifies the amount of detail to apply to the original image when producing the final image (Default = 0.25 for 25%).</param>
/// <param name="strOutputDir">Optionally, specifies the output directory wheren images are to be output. When <i>null</i>, no images are output, but are instead set in each Octave.</param>
/// <param name="bVisualizeEachStep">Optionally, specifies to create an image at each step of the process which can be useful when making a video of the evolution (default = <i>false</i>).</param>
/// <param name="rgDirectInputs">Optionally, specifies the direct inputs used to set each output. When not <i>null</i> the direct inputs are used instead of the <i>nFocusLabel</i> whereby the
/// network outputs are set to the direct input values and the <i>nFocusLabel</i> is used to index the image and should therefore be unique for each set of direct inputs.
/// By default, this value is set to <i>null</i>.
/// </param>
/// <returns>Upon completing the render, this method returns <i>true</i>, otherwise if cancelled it returns <i>false</i>.</returns>
public bool Render(Bitmap bmpInput, int nFocusLabel = -1, double dfDetailPercentageToOutput = 0.25, string strOutputDir = null, bool bVisualizeEachStep = false, float[] rgDirectInputs = null)
{
if (rgDirectInputs != null && nFocusLabel < 0)
{
throw new Exception("The focus label must be set to a unique value >= 0 that corresponds to this specific direct input set.");
}
// get the input dimensions from net
Blob <T> blobSrc = m_net.blob_by_name("data");
int nW = blobSrc.width;
int nH = blobSrc.height;
m_log.WriteLine("Starting drawing...");
blobSrc.Reshape(1, 3, nH, nW); // resize the networks input.
// Set the base data.
if (strOutputDir != null)
{
bmpInput.Save(strOutputDir + "\\input_image.png");
}
Datum d = ImageData.GetImageData(bmpInput, 3, false, -1);
m_blobBase.mutable_cpu_data = m_transformer.Transform(d);
m_blobDetail.SetData(0.0);
m_blobBlur.SetData(0);
for (int i = 0; i < m_rgOctaves.Count; i++)
{
Octaves o = m_rgOctaves[i];
// Select layer.
string strLayer = o.LayerName;
// Add changed details to the image.
if (nFocusLabel < 0)
{
m_cuda.add(blobSrc.count(), m_blobBase.gpu_data, m_blobDetail.gpu_data, blobSrc.mutable_gpu_data, o.PercentageOfPreviousOctaveDetailsToApply);
}
for (int j = 0; j < o.IterationN; j++)
{
if (m_evtCancel.WaitOne(0))
{
return(false);
}
if (nFocusLabel >= 0)
{
blobSrc.CopyFrom(m_blobBase);
}
double dfSigma = o.StartSigma + ((o.EndSigma - o.StartSigma) * j) / o.IterationN;
double dfStepSize = o.StartStepSize + ((o.EndStepSize - o.StartStepSize) * j) / o.IterationN;
make_step(strLayer, dfSigma, dfStepSize, nFocusLabel, rgDirectInputs);
if ((bVisualizeEachStep || (j == o.IterationN - 1 && o.Save)))
{
// Get the detail.
m_cuda.sub(m_blobDetail.count(), blobSrc.gpu_data, m_blobBase.gpu_data, m_blobDetail.mutable_gpu_data);
if (dfDetailPercentageToOutput < 1.0)
{
// reuse blob blur memory.
m_cuda.add(m_blobBlur.count(), m_blobBase.gpu_data, m_blobDetail.gpu_data, m_blobBlur.mutable_gpu_data, dfDetailPercentageToOutput);
}
else
{
m_blobBlur.CopyFrom(blobSrc);
}
Image bmp = getImage(m_blobBlur);
if (nFocusLabel < 0)
{
Bitmap bmp1 = AdjustContrast(bmp, 0.9f, 1.6f, 1.2f);
bmp.Dispose();
bmp = bmp1;
}
if (strOutputDir != null)
{
string strFile = strOutputDir + "\\" + o.UniqueName + "_" + j.ToString();
if (nFocusLabel >= 0)
{
if (rgDirectInputs != null)
{
strFile += "_idx_" + nFocusLabel.ToString();
}
else
{
strFile += "_class_" + nFocusLabel.ToString();
}
}
bmp.Save(strFile + ".png");
}
if (j == o.IterationN - 1)
{
o.Images.Add(nFocusLabel, bmp);
}
else
{
bmp.Dispose();
}
}
m_log.Progress = (double)j / (double)o.IterationN;
m_log.WriteLine("Focus Label: " + nFocusLabel.ToString() + " Octave: '" + o.LayerName + "' - " + j.ToString() + " of " + o.IterationN.ToString() + " " + m_log.Progress.ToString("P"));
if (nFocusLabel >= 0)
{
m_blobBase.CopyFrom(blobSrc);
}
}
// Extract details produced on the current octave.
if (nFocusLabel < 0)
{
m_cuda.sub(m_blobDetail.count(), blobSrc.gpu_data, m_blobBase.gpu_data, m_blobDetail.mutable_gpu_data);
}
}
m_log.WriteLine("Rendering completed!");
return(true);
}
/// <summary>
/// Add a new Octaves to the collection of Octaves to run.
/// </summary>
/// <param name="octaves">Specifies the Octaves to add.</param>
public void Add(Octaves octaves)
{
m_rgOctaves.Add(octaves);
}
