/// <summary>
/// Loads all images from a chosen folder and computes all features for it.
/// </summary>
/// <param name="folder_path"></param>
/// <returns></returns>
public static double[][] FeaturesFromFolder(string folder_path, DetectorParameters detector_params)
{
DirectoryInfo d = new DirectoryInfo(folder_path);
string[] extensions = new[] { ".jpg", ".bmp", ".png" };
FileInfo[] files =
d.GetFiles()
.Where(f => extensions.Contains(f.Extension.ToLower()))
.ToArray();
List <double[]> features_all = new List <double[]>();
bool debug_enabled = true;
if (debug_enabled)
{
Directory.CreateDirectory("aug_imgs");
}
int img_it = 0;
foreach (var file in files)
{
Bitmap bmp = new Bitmap(file.FullName);
img_it++;
for (int i = 0; i < NumberOfAugmentedImages; ++i)
{
//Make 32 bit ARGB bitmap
Bitmap clone = new Bitmap(bmp.Width, bmp.Height,
System.Drawing.Imaging.PixelFormat.Format32bppArgb);
Random rng = new Random();
int x_off_random = rng.Next((-clone.Width / 20), (clone.Width / 20) + 1);
int y_off_random = rng.Next((-clone.Height / 20), (clone.Height / 20) + 1);
int x_size_random = rng.Next((-clone.Width / 10), (clone.Width / 10) + 1);
int y_size_random = rng.Next((-clone.Height / 10), (clone.Height / 10) + 1);
int do_blur = rng.Next(0, 2);
using (Graphics gr = Graphics.FromImage(clone))
{
gr.DrawImage(bmp, new Rectangle(0, 0, clone.Width, clone.Height));
gr.DrawImage(bmp, new Rectangle(x_off_random, y_off_random, clone.Width + x_size_random, clone.Height + y_size_random));
}
/*if(resize_factor == 2)
* {
* ResizeBilinear filter = new ResizeBilinear(clone.Width / 2, clone.Height / 2);
* var resized = filter.Apply(clone);
*
* filter = new ResizeBilinear(clone.Width, clone.Height);
* clone = filter.Apply(resized);
* }
*
* if (resize_factor == 3)
* {
* ResizeNearestNeighbor filter = new ResizeNearestNeighbor(clone.Width / 2, clone.Height / 2);
* var resized = filter.Apply(clone);
*
* filter = new ResizeNearestNeighbor(clone.Width, clone.Height);
* clone = filter.Apply(resized);
* }
*
* if (resize_factor == 4)
* {
* ResizeBilinear filter = new ResizeBilinear(clone.Width / 4, clone.Height / 4);
* var resized = filter.Apply(clone);
*
* filter = new ResizeBilinear(clone.Width, clone.Height);
* clone = filter.Apply(resized);
* }
*/
int resamplingFactor = Math.Min((1 + i / 2), 10);
ResizeBilinear filter = new ResizeBilinear(clone.Width / resamplingFactor, clone.Height / resamplingFactor);
var resized = filter.Apply(clone);
filter = new ResizeBilinear(clone.Width, clone.Height);
clone = filter.Apply(resized);
List <double> features = FeatureDetector.featuresFromBitmapDouble(clone, detector_params, 5);
features_all.Add(features.ToArray());
if (img_it < 2 && debug_enabled)
{
clone.Save("aug_imgs/aug_" + img_it + "_" + i + ".jpg", ImageFormat.Jpeg);
}
clone.Dispose();
}
bmp.Dispose();
}
return(features_all.ToArray());
}
